AAAI
Collection
Accepted papers for AAAI (AAAI Conference on Artificial Intelligence), one dataset per year. • 10 items • Updated
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10.1609/aaai.v32i1.11269 | Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai | https://ojs.aaai.org/index.php/AAAI/article/view/11269 | https://ojs.aaai.org/index.php/AAAI/article/download/11269/11128 | [
"Yang Yang",
"Chenhao Tan",
"Zongtao Liu",
"Fei Wu",
"Yueting Zhuang"
] | Unprecedented human mobility has driven the rapid urbanization around the world. In China, the fraction of population dwelling in cities increased from 17.9% to 52.6% between 1978 and 2012. Such large-scale migration poses challenges for policymakers and important questions for researchers. To investigate the process o... | main | AI and the Web | 10.1609/aaai.v32i1.11269 | 32 | 1 | null | official | 1706.00682 | title_snapshot |
10.1609/aaai.v32i1.11268 | Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11268 | https://ojs.aaai.org/index.php/AAAI/article/download/11268/11127 | [
"Yang Liu",
"Yi-Fang Wu"
] | In the midst of today's pervasive influence of social media, automatically detecting fake news is drawing significant attention from both the academic communities and the general public. Existing detection approaches rely on machine learning algorithms with a variety of news characteristics to detect fake news. However... | main | AI and the Web | 10.1609/aaai.v32i1.11268 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11266 | Structural Deep Embedding for Hyper-Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11266 | https://ojs.aaai.org/index.php/AAAI/article/download/11266/11125 | [
"Ke Tu",
"Peng Cui",
"Xiao Wang",
"Fei Wang",
"Wenwu Zhu"
] | Network embedding has recently attracted lots of attentions in data mining. Existing network embedding methods mainly focus on networks with pairwise relationships. In real world, however, the relationships among data points could go beyond pairwise, i.e., three or more objects are involved in each relationship represe... | main | AI and the Web | 10.1609/aaai.v32i1.11266 | 32 | 1 | null | official | 1711.10146 | title_snapshot |
10.1609/aaai.v32i1.11267 | Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation | https://ojs.aaai.org/index.php/AAAI/article/view/11267 | https://ojs.aaai.org/index.php/AAAI/article/download/11267/11126 | [
"Daixin Wang",
"Peng Cui",
"Wenwu Zhu"
] | Recently, domain adaptation based on deep models has been a promising way to deal with the domains with scarce labeled data, which is a critical problem for deep learning models. Domain adaptation propagates the knowledge from a source domain with rich information to the target domain. In reality, the source and target... | main | AI and the Web | 10.1609/aaai.v32i1.11267 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11265 | Towards Efficient Detection of Overlapping Communities in Massive Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11265 | https://ojs.aaai.org/index.php/AAAI/article/download/11265/11124 | [
"Bing-Jie Sun",
"Huawei Shen",
"Jinhua Gao",
"Wentao Ouyang",
"Xueqi Cheng"
] | Community detection is essential to analyzing and exploring natural networks such as social networks, biological networks, and citation networks. However, few methods could be used as off-the-shelf tools to detect communities in real world networks for two reasons. On the one hand, most existing methods for community d... | main | AI and the Web | 10.1609/aaai.v32i1.11265 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11279 | VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling | https://ojs.aaai.org/index.php/AAAI/article/view/11279 | https://ojs.aaai.org/index.php/AAAI/article/download/11279/11138 | [
"Guibing Guo",
"Songlin Zhai",
"Fajie Yuan",
"Yuan Liu",
"Xingwei Wang"
] | Jointing visual-semantic embeddings (VSE) have become a research hotpot for the task of image annotation, which suffers from the issue of semantic gap, i.e., the gap between images' visual features (low-level) and labels' semantic features (high-level). This issue will be even more challenging if visual features cannot... | main | AI and the Web | 10.1609/aaai.v32i1.11279 | 32 | 1 | null | official | 1801.01632 | title_snapshot |
10.1609/aaai.v32i1.11270 | Contrastive Training for Models of Information Cascades | https://ojs.aaai.org/index.php/AAAI/article/view/11270 | https://ojs.aaai.org/index.php/AAAI/article/download/11270/11129 | [
"Shaobin Xu",
"David Smith"
] | This paper proposes a model of information cascades as directed spanning trees (DSTs) over observed documents. In addition, we propose a contrastive training procedure that exploits partial temporal ordering of node infections in lieu of labeled training links. This combination of model and unsupervised training makes ... | main | AI and the Web | 10.1609/aaai.v32i1.11270 | 32 | 1 | null | official | 1812.04677 | title_snapshot |
10.1609/aaai.v32i1.11274 | Community Detection in Attributed Graphs: An Embedding Approach | https://ojs.aaai.org/index.php/AAAI/article/view/11274 | https://ojs.aaai.org/index.php/AAAI/article/download/11274/11133 | [
"Ye Li",
"Chaofeng Sha",
"Xin Huang",
"Yanchun Zhang"
] | Community detection is a fundamental and widely-studied problem that finds all densely-connected groups of nodes and well separates them from others in graphs. With the proliferation of rich information available for entities in real-world networks, it is useful to discover communities in attributed graphs where nodes ... | main | AI and the Web | 10.1609/aaai.v32i1.11274 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11275 | Retrieving and Classifying Affective Images via Deep Metric Learning | https://ojs.aaai.org/index.php/AAAI/article/view/11275 | https://ojs.aaai.org/index.php/AAAI/article/download/11275/11134 | [
"Jufeng Yang",
"Dongyu She",
"Yu-Kun Lai",
"Ming-Hsuan Yang"
] | Affective image understanding has been extensively studied in the last decade since more and more users express emotion via visual contents. While current algorithms based on convolutional neural networks aim to distinguish emotional categories in a discrete label space, the task is inherently ambiguous. This is mainly... | main | AI and the Web | 10.1609/aaai.v32i1.11275 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11276 | Binary Generative Adversarial Networks for Image Retrieval | https://ojs.aaai.org/index.php/AAAI/article/view/11276 | https://ojs.aaai.org/index.php/AAAI/article/download/11276/11135 | [
"Jingkuan Song",
"Tao He",
"Lianli Gao",
"Xing Xu",
"Alan Hanjalic",
"Heng Tao Shen"
] | The most striking successes in image retrieval using deep hashing have mostly involved discriminative models, which require labels. In this paper, we use binary generative adversarial networks (BGAN) to embed images to binary codes in an unsupervised way. By restricting the input noise variable of generative adversaria... | main | AI and the Web | 10.1609/aaai.v32i1.11276 | 32 | 1 | null | official | 1708.04150 | title_snapshot |
10.1609/aaai.v32i1.11277 | Deep Region Hashing for Generic Instance Search from Images | https://ojs.aaai.org/index.php/AAAI/article/view/11277 | https://ojs.aaai.org/index.php/AAAI/article/download/11277/11136 | [
"Jingkuan Song",
"Tao He",
"Lianli Gao",
"Xing Xu",
"Heng Tao Shen"
] | Instance Search (INS) is a fundamental problem for many applications, while it is more challenging comparing to traditional image search since the relevancy is defined at the instance level. Existing works have demonstrated the success of many complex ensemble systems that are typically conducted by firstly generating ... | main | AI and the Web | 10.1609/aaai.v32i1.11277 | 32 | 1 | null | official | 1701.07901 | title_judge |
10.1609/aaai.v32i1.11278 | Partial Multi-View Outlier Detection Based on Collective Learning | https://ojs.aaai.org/index.php/AAAI/article/view/11278 | https://ojs.aaai.org/index.php/AAAI/article/download/11278/11137 | [
"Jun Guo",
"Wenwu Zhu"
] | In the past decade, various multi-view outlier detection methods have been designed to detect horizontal outliers that exhibit inconsistent across-view characteristics. The existing works assume that all objects are present in all views. However, in real-world applications, it is often the incomplete case that every vi... | main | AI and the Web | 10.1609/aaai.v32i1.11278 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11280 | Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach | https://ojs.aaai.org/index.php/AAAI/article/view/11280 | https://ojs.aaai.org/index.php/AAAI/article/download/11280/11139 | [
"Suping Zhou",
"Jia Jia",
"Qi Wang",
"Yufei Dong",
"Yufeng Yin",
"Kehua Lei"
] | To give a more humanized response in Voice Dialogue Applications (VDAs), inferring emotion states from users’ queries may play an important role. However, in VDAs, we have tremendous amount of VDA users and massive scale of unlabeled data with high dimension features from multimodal information, which challenge the tra... | main | AI and the Web | 10.1609/aaai.v32i1.11280 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11281 | A Network-Specific Markov Random Field Approach to Community Detection | https://ojs.aaai.org/index.php/AAAI/article/view/11281 | https://ojs.aaai.org/index.php/AAAI/article/download/11281/11140 | [
"Dongxiao He",
"Xinxin You",
"Zhiyong Feng",
"Di Jin",
"Xue Yang",
"Weixiong Zhang"
] | Markov Random Field (MRF) is a powerful framework for developing probabilistic models of complex problems. MRF models possess rich structures to represent properties and constraints of a problem. It has been successful on many application problems, particularly those of computer vision and image processing, where data ... | main | AI and the Web | 10.1609/aaai.v32i1.11281 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11282 | Mitigating Overexposure in Viral Marketing | https://ojs.aaai.org/index.php/AAAI/article/view/11282 | https://ojs.aaai.org/index.php/AAAI/article/download/11282/11141 | [
"Rediet Abebe",
"Lada Adamic",
"Jon Kleinberg"
] | In traditional models for word-of-mouth recommendations and viral marketing, the objective function has generally been based on reaching as many people as possible. However, a number of studies have shown that the indiscriminate spread of a product by word-of-mouth can result in overexposure, reaching people who evalua... | main | AI and the Web | 10.1609/aaai.v32i1.11282 | 32 | 1 | null | official | 1709.04123 | title_snapshot |
10.1609/aaai.v32i1.11284 | Listening to the World Improves Speech Command Recognition | https://ojs.aaai.org/index.php/AAAI/article/view/11284 | https://ojs.aaai.org/index.php/AAAI/article/download/11284/11143 | [
"Brian McMahan",
"Delip Rao"
] | We study transfer learning in convolutional network architectures applied to the task of recognizing audio, such as environmental sound events and speech commands. Our key finding is that not only is it possible to transfer representations from an unrelated task like environmental sound classification to a voice-focuse... | main | AI and the Web | 10.1609/aaai.v32i1.11284 | 32 | 1 | null | official | 1710.08377 | title_snapshot |
10.1609/aaai.v32i1.11283 | Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics | https://ojs.aaai.org/index.php/AAAI/article/view/11283 | https://ojs.aaai.org/index.php/AAAI/article/download/11283/11142 | [
"Di Jin",
"Xiaobao Wang",
"Ruifang He",
"Dongxiao He",
"Jianwu Dang",
"Weixiong Zhang"
] | Community detection has been extensively studied for various applications, focusing primarily on network topologies. Recent research has started to explore node contents to identify semantically meaningful communities and interpret their structures using selected words. However, links in real networks typically have se... | main | AI and the Web | 10.1609/aaai.v32i1.11283 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11263 | Unsupervised Generative Adversarial Cross-Modal Hashing | https://ojs.aaai.org/index.php/AAAI/article/view/11263 | https://ojs.aaai.org/index.php/AAAI/article/download/11263/11122 | [
"Jian Zhang",
"Yuxin Peng",
"Mingkuan Yuan"
] | Cross-modal hashing aims to map heterogeneous multimedia data into a common Hamming space, which can realize fast and flexible retrieval across different modalities. Unsupervised cross-modal hashing is more flexible and applicable than supervised methods, since no intensive labeling work is involved. However, existing ... | main | AI and the Web | 10.1609/aaai.v32i1.11263 | 32 | 1 | null | official | 1712.00358 | title_snapshot |
10.1609/aaai.v32i1.11271 | DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11271 | https://ojs.aaai.org/index.php/AAAI/article/download/11271/11130 | [
"Jianxin Ma",
"Peng Cui",
"Wenwu Zhu"
] | Network embedding algorithms to date are primarily designed for static networks, where all nodes are known before learning. How to infer embeddings for out-of-sample nodes, i.e. nodes that arrive after learning, remains an open problem. The problem poses great challenges to existing methods, since the inferred embeddin... | main | AI and the Web | 10.1609/aaai.v32i1.11271 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11272 | Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach | https://ojs.aaai.org/index.php/AAAI/article/view/11272 | https://ojs.aaai.org/index.php/AAAI/article/download/11272/11131 | [
"Chao Zhang",
"Mengxiong Liu",
"Zhengchao Liu",
"Carl Yang",
"Luming Zhang",
"Jiawei Han"
] | Spatiotemporal activity modeling, which aims at modeling users' activities at different locations and time from user behavioral data, is an important task for applications like urban planning and mobile advertising. State-of-the-art methods for this task use cross-modal embedding to map the units from different modalit... | main | AI and the Web | 10.1609/aaai.v32i1.11272 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11273 | CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity | https://ojs.aaai.org/index.php/AAAI/article/view/11273 | https://ojs.aaai.org/index.php/AAAI/article/download/11273/11132 | [
"Qin Chen",
"Qinmin Hu",
"Jimmy Xiangji Huang",
"Liang He"
] | The recurrent neural networks (RNNs) have shown good performance for sentence similarity modeling in recent years. Most RNNs focus on modeling the hidden states based on the current sentence, while the context information from the other sentence is not well investigated during the hidden state generation. In this paper... | main | AI and the Web | 10.1609/aaai.v32i1.11273 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11264 | A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data | https://ojs.aaai.org/index.php/AAAI/article/view/11264 | https://ojs.aaai.org/index.php/AAAI/article/download/11264/11123 | [
"Jingang Wang",
"Junfeng Tian",
"Long Qiu",
"Sheng Li",
"Jun Lang",
"Luo Si",
"Man Lan"
] | It is a challenging and practical research problem to obtain effective compression of lengthy product titles for E-commerce. This is particularly important as more and more users browse mobile E-commerce apps and more merchants make the original product titles redundant and lengthy for Search Engine Optimization. Tradi... | main | AI and the Web | 10.1609/aaai.v32i1.11264 | 32 | 1 | null | official | 1801.01725 | title_snapshot |
10.1609/aaai.v32i1.11261 | Location-Sensitive User Profiling Using Crowdsourced Labels | https://ojs.aaai.org/index.php/AAAI/article/view/11261 | https://ojs.aaai.org/index.php/AAAI/article/download/11261/11120 | [
"Wei Niu",
"James Caverlee",
"Haokai Lu"
] | In this paper, we investigate the impact of spatial variation on the construction of location-sensitive user profiles. We demonstrate evidence of spatial variation over a collection of Twitter Lists, wherein we find that crowdsourced labels are constrained by distance. For example, that energy in San Francisco is more ... | main | AI and the Web | 10.1609/aaai.v32i1.11261 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11248 | Joint Training for Neural Machine Translation Models with Monolingual Data | https://ojs.aaai.org/index.php/AAAI/article/view/11248 | https://ojs.aaai.org/index.php/AAAI/article/download/11248/11107 | [
"Zhirui Zhang",
"Shujie Liu",
"Mu Li",
"Ming Zhou",
"Enhong Chen"
] | Monolingual data have been demonstrated to be helpful in improving translation quality of both statistical machine translation (SMT) systems and neural machine translation (NMT) systems, especially in resource-poor or domain adaptation tasks where parallel data are not rich enough. In this paper, we propose a novel app... | main | AI and the Web | 10.1609/aaai.v32i1.11248 | 32 | 1 | null | official | 1803.00353 | title_snapshot |
10.1609/aaai.v32i1.11249 | Dual Deep Neural Networks Cross-Modal Hashing | https://ojs.aaai.org/index.php/AAAI/article/view/11249 | https://ojs.aaai.org/index.php/AAAI/article/download/11249/11108 | [
"Zhen-Duo Chen",
"Wan-Jin Yu",
"Chuan-Xiang Li",
"Liqiang Nie",
"Xin-Shun Xu"
] | Recently, deep hashing methods have attracted much attention in multimedia retrieval task. Some of them can even perform cross-modal retrieval. However, almost all existing deep cross-modal hashing methods are pairwise optimizing methods, which means that they become time-consuming if they are extended to large scale d... | main | AI and the Web | 10.1609/aaai.v32i1.11249 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11250 | Improved English to Russian Translation by Neural Suffix Prediction | https://ojs.aaai.org/index.php/AAAI/article/view/11250 | https://ojs.aaai.org/index.php/AAAI/article/download/11250/11109 | [
"Kai Song",
"Yue Zhang",
"Min Zhang",
"Weihua Luo"
] | Neural machine translation (NMT) suffers a performance deficiency when a limited vocabulary fails to cover the source or target side adequately, which happens frequently when dealing with morphologically rich languages. To address this problem, previous work focused on adjusting translation granularity or expanding the... | main | AI and the Web | 10.1609/aaai.v32i1.11250 | 32 | 1 | null | official | 1801.03615 | title_snapshot |
10.1609/aaai.v32i1.11251 | Confidence-Aware Matrix Factorization for Recommender Systems | https://ojs.aaai.org/index.php/AAAI/article/view/11251 | https://ojs.aaai.org/index.php/AAAI/article/download/11251/11110 | [
"Chao Wang",
"Qi Liu",
"Runze Wu",
"Enhong Chen",
"Chuanren Liu",
"Xunpeng Huang",
"Zhenya Huang"
] | Collaborative filtering (CF), particularly matrix factorization (MF) based methods, have been widely used in recommender systems. The literature has reported that matrix factorization methods often produce superior accuracy of rating prediction in recommender systems. However, existing matrix factorization methods rare... | main | AI and the Web | 10.1609/aaai.v32i1.11251 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11252 | Cross-Lingual Entity Linking for Web Tables | https://ojs.aaai.org/index.php/AAAI/article/view/11252 | https://ojs.aaai.org/index.php/AAAI/article/download/11252/11111 | [
"Xusheng Luo",
"Kangqi Luo",
"Xianyang Chen",
"Kenny Zhu"
] | This paper studies the problem of linking string mentions from web tables in one language to the corresponding named entities in a knowledge base written in another language, which we call the cross-lingual table linking task. We present a joint statistical model to simultaneously link all mentions that appear in one t... | main | AI and the Web | 10.1609/aaai.v32i1.11252 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11253 | Exploring Implicit Feedback for Open Domain Conversation Generation | https://ojs.aaai.org/index.php/AAAI/article/view/11253 | https://ojs.aaai.org/index.php/AAAI/article/download/11253/11112 | [
"Wei-Nan Zhang",
"Lingzhi Li",
"Dongyan Cao",
"Ting Liu"
] | User feedback can be an effective indicator to the success of the human-robot conversation. However, to avoid to interrupt the online real-time conversation process, explicit feedback is usually gained at the end of a conversation. Alternatively, users' responses usually contain their implicit feedback, such as stance,... | main | AI and the Web | 10.1609/aaai.v32i1.11253 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11254 | Attention-via-Attention Neural Machine Translation | https://ojs.aaai.org/index.php/AAAI/article/view/11254 | https://ojs.aaai.org/index.php/AAAI/article/download/11254/11113 | [
"Shenjian Zhao",
"Zhihua Zhang"
] | Since many languages originated from a common ancestral language and influence each other, there would inevitably exist similarities between these languages such as lexical similarity and named entity similarity. In this paper, we leverage these similarities to improve the translation performance in neural machine tran... | main | AI and the Web | 10.1609/aaai.v32i1.11254 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11255 | Discovering and Distinguishing Multiple Visual Senses for Polysemous Words | https://ojs.aaai.org/index.php/AAAI/article/view/11255 | https://ojs.aaai.org/index.php/AAAI/article/download/11255/11114 | [
"Yazhou Yao",
"Jian Zhang",
"Fumin Shen",
"Wankou Yang",
"Pu Huang",
"Zhenmin Tang"
] | To reduce the dependence on labeled data, there have been increasing research efforts on learning visual classifiers by exploiting web images. One issue that limits their performance is the problem of polysemy. To solve this problem, in this work, we present a novel framework that solves the problem of polysemy by allo... | main | AI and the Web | 10.1609/aaai.v32i1.11255 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11256 | Representation Learning for Scale-Free Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11256 | https://ojs.aaai.org/index.php/AAAI/article/download/11256/11115 | [
"Rui Feng",
"Yang Yang",
"Wenjie Hu",
"Fei Wu",
"Yueting Zhang"
] | Network embedding aims to learn the low-dimensional representations of vertexes in a network, while structure and inherent properties of the network is preserved. Existing network embedding works primarily focus on preserving the microscopic structure, such as the first- and second-order proximity of vertexes, while th... | main | AI and the Web | 10.1609/aaai.v32i1.11256 | 32 | 1 | null | official | 1711.10755 | title_snapshot |
10.1609/aaai.v32i1.11257 | Dynamic Network Embedding by Modeling Triadic Closure Process | https://ojs.aaai.org/index.php/AAAI/article/view/11257 | https://ojs.aaai.org/index.php/AAAI/article/download/11257/11116 | [
"Lekui Zhou",
"Yang Yang",
"Xiang Ren",
"Fei Wu",
"Yueting Zhuang"
] | Network embedding, which aims to learn the low-dimensional representations of vertices, is an important task and has attracted considerable research efforts recently. In real world, networks, like social network and biological networks, are dynamic and evolving over time. However, almost all the existing network embedd... | main | AI and the Web | 10.1609/aaai.v32i1.11257 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11258 | From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions | https://ojs.aaai.org/index.php/AAAI/article/view/11258 | https://ojs.aaai.org/index.php/AAAI/article/download/11258/11117 | [
"Zhiyong Yang",
"Qianqian Xu",
"Xiaochun Cao",
"Qingming Huang"
] | Visual attributes, which refer to human-labeled semantic annotations, have gained increasing popularity in a wide range of real world applications. Generally, the existing attribute learning methods fall into two categories: one focuses on learning user-specific labels separately for different attributes, while the oth... | main | AI and the Web | 10.1609/aaai.v32i1.11258 | 32 | 1 | null | official | 1711.06867 | title_snapshot |
10.1609/aaai.v32i1.11259 | Personalized Time-Aware Tag Recommendation | https://ojs.aaai.org/index.php/AAAI/article/view/11259 | https://ojs.aaai.org/index.php/AAAI/article/download/11259/11118 | [
"Keqiang Wang",
"Yuanyuan Jin",
"Haofen Wang",
"Hongwei Peng",
"Xiaoling Wang"
] | Personalized tag recommender systems suggest a list of tags to a user when he or she wants to annotate an item. They utilize users’ preferences and the features of items. Tensorfactorization techniques have been widely used in tag recommendation. Given the user-item pair, although the classic PITF (Pairwise Interaction... | main | AI and the Web | 10.1609/aaai.v32i1.11259 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11260 | Neural Link Prediction over Aligned Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11260 | https://ojs.aaai.org/index.php/AAAI/article/download/11260/11119 | [
"Xuezhi Cao",
"Haokun Chen",
"Xuejian Wang",
"Weinan Zhang",
"Yong Yu"
] | Link prediction is a fundamental problem with a wide range of applications in various domains, which predicts the links that are not yet observed or the links that may appear in the future. Most existing works in this field only focus on modeling a single network, while real-world networks are actually aligned with eac... | main | AI and the Web | 10.1609/aaai.v32i1.11260 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11262 | FILE: A Novel Framework for Predicting Social Status in Signed Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11262 | https://ojs.aaai.org/index.php/AAAI/article/download/11262/11121 | [
"Xiaoming Li",
"Hui Fang",
"Jie Zhang"
] | Link prediction in signed social networks is challenging because of the existence and imbalance of the three kinds of social status (positive, negative and no-relation). Furthermore, there are a variety types of no-relation status in reality, e.g., strangers and frenemies, which cannot be well distinguished from the ot... | main | AI and the Web | 10.1609/aaai.v32i1.11262 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11246 | On Validation and Predictability of Digital Badges’ Influence on Individual Users | https://ojs.aaai.org/index.php/AAAI/article/view/11246 | https://ojs.aaai.org/index.php/AAAI/article/download/11246/11105 | [
"Tomasz Kuśmierczyk",
"Kjetil Nørvåg"
] | Badges are a common, and sometimes the only, method of incentivizing users to perform certain actions on on- line sites. However, due to many competing factors influencing user temporal dynamics, it is difficult to determine whether the badge had (or will have) the intended effect or not. In this paper, we introduce tw... | main | AI and the Web | 10.1609/aaai.v32i1.11246 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11247 | Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation | https://ojs.aaai.org/index.php/AAAI/article/view/11247 | https://ojs.aaai.org/index.php/AAAI/article/download/11247/11106 | [
"Liang Yang",
"Yuanfang Guo",
"Xiaochun Cao"
] | In network analysis, community detection and network embedding are two important topics. Community detection tends to obtain the most noticeable partition, while network embedding aims at seeking node representations which contains as many diverse properties as possible. We observe that the current community detection ... | main | AI and the Web | 10.1609/aaai.v32i1.11247 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11245 | Social Recommendation with an Essential Preference Space | https://ojs.aaai.org/index.php/AAAI/article/view/11245 | https://ojs.aaai.org/index.php/AAAI/article/download/11245/11104 | [
"Chun-Yi Liu",
"Chuan Zhou",
"Jia Wu",
"Yue Hu",
"Li Guo"
] | Social recommendation, which aims to exploit social information to improve the quality of a recommender system, has attracted an increasing amount of attention in recent years. A large portion of existing social recommendation models are based on the tractable assumption that users consider the same factors to make dec... | main | AI and the Web | 10.1609/aaai.v32i1.11245 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11242 | RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding | https://ojs.aaai.org/index.php/AAAI/article/view/11242 | https://ojs.aaai.org/index.php/AAAI/article/download/11242/11101 | [
"Zheng Wang",
"Xiaojun Ye",
"Chaokun Wang",
"Yuexin Wu",
"Changping Wang",
"Kaiwen Liang"
] | Network embedding, aiming to project a network into a low-dimensional space, is increasingly becoming a focus of network research. Semi-supervised network embedding takes advantage of labeled data, and has shown promising performance. However, existing semi-supervised methods would get unappealing results in the comple... | main | AI and the Web | 10.1609/aaai.v32i1.11242 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11244 | Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization | https://ojs.aaai.org/index.php/AAAI/article/view/11244 | https://ojs.aaai.org/index.php/AAAI/article/download/11244/11103 | [
"Chaochao Chen",
"Ziqi Liu",
"Peilin Zhao",
"Jun Zhou",
"Xiaolong Li"
] | Points of interest (POI) recommendation has been drawn much attention recently due to the increasing popularity of location-based networks, e.g., Foursquare and Yelp. Among the existing approaches to POI recommendation, Matrix Factorization (MF) based techniques have proven to be effective. However, existing MF approac... | main | AI and the Web | 10.1609/aaai.v32i1.11244 | 32 | 1 | null | official | 2003.05610 | title_snapshot |
10.1609/aaai.v32i1.11243 | Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems | https://ojs.aaai.org/index.php/AAAI/article/view/11243 | https://ojs.aaai.org/index.php/AAAI/article/download/11243/11102 | [
"Yu Wang",
"Jixing Xu",
"Aohan Wu",
"Mantian Li",
"Yang He",
"Jinghe Hu",
"Weipeng Yan"
] | Designing an e-commerce recommender system that serves hundreds of millions of active users is a daunting challenge. To our best knowledge, the complex brain activity mechanism behind human shopping activities is never considered in existing recommender systems. From a human vision perspective, we found two key factors... | main | AI and the Web | 10.1609/aaai.v32i1.11243 | 32 | 1 | null | official | 1709.00300 | title_snapshot |
10.1609/aaai.v32i1.11313 | Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication | https://ojs.aaai.org/index.php/AAAI/article/view/11313 | https://ojs.aaai.org/index.php/AAAI/article/download/11313/11172 | [
"Ahmed Elgammal",
"Yan Kang",
"Milko Den Leeuw"
] | This paper proposes a computational approach for analysis of strokes in line drawings by artists. We aim at developing an AI methodology that facilitates attribution of drawings of unknown authors in a way that is not easy to be deceived by forged art. The methodology used is based on quantifying the characteristics of... | main | Applications | 10.1609/aaai.v32i1.11313 | 32 | 1 | null | official | 1711.03536 | title_snapshot |
10.1609/aaai.v32i1.11297 | Video Summarization via Semantic Attended Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11297 | https://ojs.aaai.org/index.php/AAAI/article/download/11297/11156 | [
"Huawei Wei",
"Bingbing Ni",
"Yichao Yan",
"Huanyu Yu",
"Xiaokang Yang",
"Chen Yao"
] | The goal of video summarization is to distill a raw video into a more compact form without losing much semantic information. However, previous methods mainly consider the diversity and representation interestingness of the obtained summary, and they seldom pay sufficient attention to semantic information of resulting f... | main | Applications | 10.1609/aaai.v32i1.11297 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11311 | Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data | https://ojs.aaai.org/index.php/AAAI/article/view/11311 | https://ojs.aaai.org/index.php/AAAI/article/download/11311/11170 | [
"Jian Lou",
"Yiu-ming Cheung"
] | Preserving differential privacy during empirical risk minimization model training has been extensively studied under centralized and sample-wise distributed dataset settings. This paper considers a nearly unexplored context with features partitioned among different parties under privacy restriction. Motivated by the ne... | main | Applications | 10.1609/aaai.v32i1.11311 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11312 | MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment | https://ojs.aaai.org/index.php/AAAI/article/view/11312 | https://ojs.aaai.org/index.php/AAAI/article/download/11312/11171 | [
"Hao-Wen Dong",
"Wen-Yi Hsiao",
"Li-Chia Yang",
"Yi-Hsuan Yang"
] | Generating music has a few notable differences from generating images and videos. First, music is an art of time, necessitating a temporal model. Second, music is usually composed of multiple instruments/tracks with their own temporal dynamics, but collectively they unfold over time interdependently. Lastly, musical no... | main | Applications | 10.1609/aaai.v32i1.11312 | 32 | 1 | null | official | 1709.06298 | title_snapshot |
10.1609/aaai.v32i1.11310 | On Organizing Online Soirees with Live Multi-Streaming | https://ojs.aaai.org/index.php/AAAI/article/view/11310 | https://ojs.aaai.org/index.php/AAAI/article/download/11310/11169 | [
"Chih-Ya Shen",
"C. P. Kankeu Fotsing",
"De-Nian Yang",
"Yi-Shin Chen",
"Wang-Chien Lee"
] | The popularity of live streaming has led to the explosive growth in new video contents and social communities on emerging platforms such as Facebook Live and Twitch. Viewers on these platforms are able to follow multiple streams of live events simultaneously, while engaging discussions with friends. However, existing a... | main | Applications | 10.1609/aaai.v32i1.11310 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11308 | Generating an Event Timeline About Daily Activities From a Semantic Concept Stream | https://ojs.aaai.org/index.php/AAAI/article/view/11308 | https://ojs.aaai.org/index.php/AAAI/article/download/11308/11167 | [
"Taiki Miyanishi",
"Jun-ichiro Hirayama",
"Takuya Maekawa",
"Motoaki Kawanabe"
] | Recognizing activities of daily living (ADLs) in the real world is an important task for understanding everyday human life. However, even though our life events consist of chronological ADLs with the corresponding places and objects (e.g., drinking coffee in the living room after making coffee in the kitchen and walkin... | main | Applications | 10.1609/aaai.v32i1.11308 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11309 | CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition | https://ojs.aaai.org/index.php/AAAI/article/view/11309 | https://ojs.aaai.org/index.php/AAAI/article/download/11309/11168 | [
"Jingyuan Wang",
"Xu He",
"Ze Wang",
"Junjie Wu",
"Nicholas Jing Yuan",
"Xing Xie",
"Zhang Xiong"
] | Driven by the wave of urbanization in recent decades, the research topic about migrant behavior analysis draws great attention from both academia and the government. Nevertheless, subject to the cost of data collection and the lack of modeling methods, most of existing studies use only questionnaire surveys with sparse... | main | Applications | 10.1609/aaai.v32i1.11309 | 32 | 1 | null | official | 1804.09901 | title_snapshot |
10.1609/aaai.v32i1.11307 | Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction | https://ojs.aaai.org/index.php/AAAI/article/view/11307 | https://ojs.aaai.org/index.php/AAAI/article/download/11307/11166 | [
"Luchen Liu",
"Jianhao Shen",
"Ming Zhang",
"Zichang Wang",
"Jian Tang"
] | The availability of a large amount of electronic health records (EHR) provides huge opportunities to improve health care service by mining these data. One important application is clinical endpoint prediction, which aims to predict whether a disease, a symptom or an abnormal lab test will happen in the future according... | main | Applications | 10.1609/aaai.v32i1.11307 | 32 | 1 | null | official | 1803.04837 | title_snapshot |
10.1609/aaai.v32i1.11305 | Learning the Probability of Activation in the Presence of Latent Spreaders | https://ojs.aaai.org/index.php/AAAI/article/view/11305 | https://ojs.aaai.org/index.php/AAAI/article/download/11305/11164 | [
"Maggie Makar",
"John Guttag",
"Jenna Wiens"
] | When an infection spreads in a community, an individual's probability of becoming infected depends on both her susceptibility and exposure to the contagion through contact with others. While one often has knowledge regarding an individual's susceptibility, in many cases, whether or not an individual's contacts are cont... | main | Applications | 10.1609/aaai.v32i1.11305 | 32 | 1 | null | official | 1712.00643 | title_snapshot |
10.1609/aaai.v32i1.11306 | When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization | https://ojs.aaai.org/index.php/AAAI/article/view/11306 | https://ojs.aaai.org/index.php/AAAI/article/download/11306/11165 | [
"Shaojie Tang"
] | Recent studies reveal that social advertising is more effective than conventional online advertising. This is mainly because conventional advertising targets at individual's interest while social advertising is able to produce a large cascade of further exposures to other users via social influence. This motivates us t... | main | Applications | 10.1609/aaai.v32i1.11306 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11304 | An AI Planning Solution to Scenario Generation for Enterprise Risk Management | https://ojs.aaai.org/index.php/AAAI/article/view/11304 | https://ojs.aaai.org/index.php/AAAI/article/download/11304/11163 | [
"Shirin Sohrabi",
"Anton Riabov",
"Michael Katz",
"Octavian Udrea"
] | Scenario planning is a commonly used method by companies to develop their long-term plans. Scenario planning for risk management puts an added emphasis on identifying and managing emerging risk. While a variety of methods have been proposed for this purpose, we show that applying AI planning techniques to devise possib... | main | Applications | 10.1609/aaai.v32i1.11304 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11303 | Synthesis of Programs from Multimodal Datasets | https://ojs.aaai.org/index.php/AAAI/article/view/11303 | https://ojs.aaai.org/index.php/AAAI/article/download/11303/11162 | [
"Shantanu Thakoor",
"Simoni Shah",
"Ganesh Ramakrishnan",
"Amitabha Sanyal"
] | We describe MultiSynth, a framework for synthesizing domain-specific programs from a multimodal dataset of examples. Given a domain-specific language (DSL), a dataset is multimodal if there is no single program in the DSL that generalizes over all the examples. Further, even if the examples in the dataset were generali... | main | Applications | 10.1609/aaai.v32i1.11303 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11302 | EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples | https://ojs.aaai.org/index.php/AAAI/article/view/11302 | https://ojs.aaai.org/index.php/AAAI/article/download/11302/11161 | [
"Pin-Yu Chen",
"Yash Sharma",
"Huan Zhang",
"Jinfeng Yi",
"Cho-Jui Hsieh"
] | Recent studies have highlighted the vulnerability of deep neural networks (DNNs) to adversarial examples — a visually indistinguishable adversarial image can easily be crafted to cause a well-trained model to misclassify. Existing methods for crafting adversarial examples are based on L2 and L∞ distortion metrics. Howe... | main | Applications | 10.1609/aaai.v32i1.11302 | 32 | 1 | null | official | 1709.04114 | title_snapshot |
10.1609/aaai.v32i1.11300 | Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation | https://ojs.aaai.org/index.php/AAAI/article/view/11300 | https://ojs.aaai.org/index.php/AAAI/article/download/11300/11159 | [
"Zhuo Li",
"Hongwei Wang",
"Miao Zhao",
"Wenjie Li",
"Minyi Guo"
] | Monaural source separation (MSS) aims to extract and reconstruct different sources from a single-channel mixture, which could facilitate a variety of applications such as chord recognition, pitch estimation and automatic transcription. In this paper, we study the problem of separating vocals and instruments from monaur... | main | Applications | 10.1609/aaai.v32i1.11300 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11301 | Comparing Population Means Under Local Differential Privacy: With Significance and Power | https://ojs.aaai.org/index.php/AAAI/article/view/11301 | https://ojs.aaai.org/index.php/AAAI/article/download/11301/11160 | [
"Bolin Ding",
"Harsha Nori",
"Paul Li",
"Joshua Allen"
] | A statistical hypothesis test determines whether a hypothesis should be rejected based on samples from populations. In particular, randomized controlled experiments (or A/B testing) that compare population means using, e.g., t-tests, have been widely deployed in technology companies to aid in making data-driven decisio... | main | Applications | 10.1609/aaai.v32i1.11301 | 32 | 1 | null | official | 1803.09027 | title_snapshot |
10.1609/aaai.v32i1.11299 | TIMERS: Error-Bounded SVD Restart on Dynamic Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11299 | https://ojs.aaai.org/index.php/AAAI/article/download/11299/11158 | [
"Ziwei Zhang",
"Peng Cui",
"Jian Pei",
"Xiao Wang",
"Wenwu Zhu"
] | Singular Value Decomposition (SVD) is a popular approach in various network applications, such as link prediction and network parameter characterization. Incremental SVD approaches are proposed to process newly changed nodes and edges in dynamic networks. However, incremental SVD approaches suffer from serious error ac... | main | Applications | 10.1609/aaai.v32i1.11299 | 32 | 1 | null | official | 1711.09541 | title_snapshot |
10.1609/aaai.v32i1.11298 | Algorithms for Trip-Vehicle Assignment in Ride-Sharing | https://ojs.aaai.org/index.php/AAAI/article/view/11298 | https://ojs.aaai.org/index.php/AAAI/article/download/11298/11157 | [
"Xiaohui Bei",
"Shengyu Zhang"
] | We investigate the ride-sharing assignment problem from an algorithmic resource allocation point of view. Given a number of requests with source and destination locations, and a number of available car locations, the task is to assign cars to requests with two requests sharing one car. We formulate this as a combinator... | main | Applications | 10.1609/aaai.v32i1.11298 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11296 | Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning | https://ojs.aaai.org/index.php/AAAI/article/view/11296 | https://ojs.aaai.org/index.php/AAAI/article/download/11296/11155 | [
"Nina Grgić-Hlača",
"Muhammad Bilal Zafar",
"Krishna P. Gummadi",
"Adrian Weller"
] | With widespread use of machine learning methods in numerous domains involving humans, several studies have raised questions about the potential for unfairness towards certain individuals or groups. A number of recent works have proposed methods to measure and eliminate unfairness from machine learning models. However, ... | main | Applications | 10.1609/aaai.v32i1.11296 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11295 | Norm Conflict Resolution in Stochastic Domains | https://ojs.aaai.org/index.php/AAAI/article/view/11295 | https://ojs.aaai.org/index.php/AAAI/article/download/11295/11154 | [
"Daniel Kasenberg",
"Matthias Scheutz"
] | Artificial agents will need to be aware of human moral and social norms, and able to use them in decision-making. In particular, artificial agents will need a principled approach to managing conflicting norms, which are common in human social interactions. Existing logic-based approaches suffer from normative explosion... | main | Applications | 10.1609/aaai.v32i1.11295 | 32 | 1 | null | official | 1706.07448 | title_snapshot |
10.1609/aaai.v32i1.11294 | Distributed Composite Quantization | https://ojs.aaai.org/index.php/AAAI/article/view/11294 | https://ojs.aaai.org/index.php/AAAI/article/download/11294/11153 | [
"Weixiang Hong",
"Jingjing Meng",
"Junsong Yuan"
] | Approximate nearest neighbor (ANN) search is a fundamental problem in computer vision, machine learning and information retrieval. Recently, quantization-based methods have drawn a lot of attention due to their superior accuracy and comparable efficiency compared with traditional hashing techniques. However, despite th... | main | Applications | 10.1609/aaai.v32i1.11294 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11292 | Tensorized Projection for High-Dimensional Binary Embedding | https://ojs.aaai.org/index.php/AAAI/article/view/11292 | https://ojs.aaai.org/index.php/AAAI/article/download/11292/11151 | [
"Weixiang Hong",
"Jingjing Meng",
"Junsong Yuan"
] | Embedding high-dimensional visual features (d-dimensional) to binary codes (b-dimensional) has shown advantages in various vision tasks such as object recognition and image retrieval. Meanwhile, recent works have demonstrated that to fully utilize the representation power of high-dimensional features, it is critical to... | main | Applications | 10.1609/aaai.v32i1.11292 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11285 | Geographic Differential Privacy for Mobile Crowd Coverage Maximization | https://ojs.aaai.org/index.php/AAAI/article/view/11285 | https://ojs.aaai.org/index.php/AAAI/article/download/11285/11144 | [
"Leye Wang",
"Gehua Qin",
"Dingqi Yang",
"Xiao Han",
"Xiaojuan Ma"
] | For real-world mobile applications such as location-based advertising and spatial crowdsourcing, a key to success is targeting mobile users that can maximally cover certain locations in a future period. To find an optimal group of users, existing methods often require information about users' mobility history, which ma... | main | Applications | 10.1609/aaai.v32i1.11285 | 32 | 1 | null | official | 1710.10477 | title_snapshot |
10.1609/aaai.v32i1.11293 | Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments | https://ojs.aaai.org/index.php/AAAI/article/view/11293 | https://ojs.aaai.org/index.php/AAAI/article/download/11293/11152 | [
"Youyi Song",
"Jing Qin",
"Baiying Lei",
"Kup-Sze Choi"
] | We present a novel method for automated segmentation of overlapping cytoplasm in cervical smear images based on contour fragments. We formulate the segmentation problem as a graphical model, and employ the contour fragments generated from cytoplasm clump to construct the graph. Compared with traditional methods that ar... | main | Applications | 10.1609/aaai.v32i1.11293 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11290 | Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach | https://ojs.aaai.org/index.php/AAAI/article/view/11290 | https://ojs.aaai.org/index.php/AAAI/article/download/11290/11149 | [
"Bin Liu",
"Ying Li",
"Zhaonan Sun",
"Soumya Ghosh",
"Kenney Ng"
] | Type 2 diabetes mellitus (T2DM) is a chronic disease that usually results in multiple complications. Early identification of individuals at risk for complications after being diagnosed with T2DM is of significant clinical value. In this paper, we present a new data-driven predictive approach to predict when a patient w... | main | Applications | 10.1609/aaai.v32i1.11290 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11291 | Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters | https://ojs.aaai.org/index.php/AAAI/article/view/11291 | https://ojs.aaai.org/index.php/AAAI/article/download/11291/11150 | [
"Xinrun Wang",
"Bo An",
"Martin Strobel",
"Fookwai Kong"
] | Pirate syndicates capturing tankers to siphon oil, causing an estimated cost of $5 billion a year, has become a serious security issue for maritime traffic. In response to the threat, coast guards and navies deploy patrol boats to protect international oil trade. However, given the vast area of the sea and the highly t... | main | Applications | 10.1609/aaai.v32i1.11291 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11287 | Ranking Users in Social Networks With Higher-Order Structures | https://ojs.aaai.org/index.php/AAAI/article/view/11287 | https://ojs.aaai.org/index.php/AAAI/article/download/11287/11146 | [
"Huan Zhao",
"Xiaogang Xu",
"Yangqiu Song",
"Dik Lun Lee",
"Zhao Chen",
"Han Gao"
] | PageRank has been widely used to measure the authority or the influence of a user in social networks. However, conventional PageRank only makes use of edge-based relations, ignoring higher-order structures captured by motifs, subgraphs consisting of a small number of nodes in complex networks. In this paper, we propose... | main | Applications | 10.1609/aaai.v32i1.11287 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11289 | Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients | https://ojs.aaai.org/index.php/AAAI/article/view/11289 | https://ojs.aaai.org/index.php/AAAI/article/download/11289/11148 | [
"Jonathan Chung",
"Moshe Eizenman",
"Uros Rakita",
"Roger McIntyre",
"Peter Giacobbe"
] | Bipolar Disorder (BD) and Major Depressive Disorder (MDD) are two common and debilitating mood disorders. Misdiagnosing BD as MDD is relatively common and the introduction of markers to improve diagnostic accuracy early in the course of the illness has been identified as one of the top unmet needs in the field. In this... | main | Applications | 10.1609/aaai.v32i1.11289 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11286 | Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence | https://ojs.aaai.org/index.php/AAAI/article/view/11286 | https://ojs.aaai.org/index.php/AAAI/article/download/11286/11145 | [
"Xin Jin",
"Le Wu",
"Xiaodong Li",
"Siyu Chen",
"Siwei Peng",
"Jingying Chi",
"Shiming Ge",
"Chenggen Song",
"Geng Zhao"
] | Aesthetic quality prediction is a challenging task in the computer vision community because of the complex interplay with semantic contents and photographic technologies. Recent studies on the powerful deep learning based aesthetic quality assessment usually use a binary high-low label or a numerical score to represent... | main | Applications | 10.1609/aaai.v32i1.11286 | 32 | 1 | null | official | 1708.07089 | title_snapshot |
10.1609/aaai.v32i1.11288 | Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis | https://ojs.aaai.org/index.php/AAAI/article/view/11288 | https://ojs.aaai.org/index.php/AAAI/article/download/11288/11147 | [
"Ye Liu",
"Lifang He",
"Bokai Cao",
"Philip Yu",
"Ann Ragin",
"Alex Leow"
] | Network analysis of human brain connectivity is critically important for understanding brain function and disease states. Embedding a brain network as a whole graph instance into a meaningful low-dimensional representation can be used to investigate disease mechanisms and inform therapeutic interventions. Moreover, by ... | main | Applications | 10.1609/aaai.v32i1.11288 | 32 | 1 | null | official | 1806.07703 | title_snapshot |
10.1609/aaai.v32i1.11318 | Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion | https://ojs.aaai.org/index.php/AAAI/article/view/11318 | https://ojs.aaai.org/index.php/AAAI/article/download/11318/11177 | [
"Joshua Palmer",
"Maithilee Kunda"
] | The Leiter International Performance Scale-Revised (Leiter-R) is a standardized cognitive test that seeks to "provide a nonverbal measure of general intelligence by sampling a wide variety of functions from memory to nonverbal reasoning." Understanding the computational building blocks of nonverbal cognition, as measur... | main | Cognitive Modeling | 10.1609/aaai.v32i1.11318 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11316 | A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy | https://ojs.aaai.org/index.php/AAAI/article/view/11316 | https://ojs.aaai.org/index.php/AAAI/article/download/11316/11175 | [
"Weikang Li",
"Wei Li",
"Yunfang Wu"
] | Document-based Question Answering (DBQA) in Natural Language Processing (NLP) is important but difficult because of the long document and the complex question. Most of previous deep learning methods mainly focus on the similarity computation between two sentences. However, DBQA stems from the reading comprehension in s... | main | Cognitive Modeling | 10.1609/aaai.v32i1.11316 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11317 | A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks | https://ojs.aaai.org/index.php/AAAI/article/view/11317 | https://ojs.aaai.org/index.php/AAAI/article/download/11317/11176 | [
"Tielin Zhang",
"Yi Zeng",
"Dongcheng Zhao",
"Mengting Shi"
] | Many efforts have been taken to train spiking neural networks (SNNs), but most of them still need improvements due to the discontinuous and non-differential characteristics of SNNs. While the mammalian brains solve these kinds of problems by integrating a series of biological plasticity learning rules. In this paper, w... | main | Cognitive Modeling | 10.1609/aaai.v32i1.11317 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11319 | Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots | https://ojs.aaai.org/index.php/AAAI/article/view/11319 | https://ojs.aaai.org/index.php/AAAI/article/download/11319/11178 | [
"S. Kasaei",
"Juil Sock",
"Luis Seabra Lopes",
"Ana Maria Tome",
"Tae-Kyun Kim"
] | There is growing need for robots that can interact with people in everyday situations. For service robots, it is not reasonable to assume that one can pre-program all object categories. Instead, apart from learning from a batch of labelled training data, robots should continuously update and learn new object categories... | main | Cognitive Modeling | 10.1609/aaai.v32i1.11319 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11320 | Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules | https://ojs.aaai.org/index.php/AAAI/article/view/11320 | https://ojs.aaai.org/index.php/AAAI/article/download/11320/11179 | [
"Alireza Alemi",
"Christian Machens",
"Sophie Deneve",
"Jean-Jacques Slotine"
] | The brain uses spikes in neural circuits to perform many dynamical computations. The computations are performed with properties such as spiking efficiency, i.e. minimal number of spikes, and robustness to noise. A major obstacle for learning computations in artificial spiking neural networks with such desired biologica... | main | Cognitive Modeling | 10.1609/aaai.v32i1.11320 | 32 | 1 | null | official | 1705.08026 | title_judge |
10.1609/aaai.v32i1.11333 | Maximizing Activity in Ising Networks via the TAP Approximation | https://ojs.aaai.org/index.php/AAAI/article/view/11333 | https://ojs.aaai.org/index.php/AAAI/article/download/11333/11192 | [
"Christopher Lynn",
"Daniel Lee"
] | A wide array of complex biological, social, and physical systems have recently been shown to be quantitatively described by Ising models, which lie at the intersection of statistical physics and machine learning. Here, we study the fundamental question of how to optimize the state of a networked Ising system given a bu... | main | Cognitive Systems | 10.1609/aaai.v32i1.11333 | 32 | 1 | null | official | 1803.00110 | title_snapshot |
10.1609/aaai.v32i1.11321 | RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems | https://ojs.aaai.org/index.php/AAAI/article/view/11321 | https://ojs.aaai.org/index.php/AAAI/article/download/11321/11180 | [
"Chongyang Tao",
"Lili Mou",
"Dongyan Zhao",
"Rui Yan"
] | Open-domain human-computer conversation has been attracting increasing attention over the past few years. However, there does not exist a standard automatic evaluation metric for open-domain dialog systems; researchers usually resort to human annotation for model evaluation, which is time- and labor-intensive. In this ... | main | Cognitive Systems | 10.1609/aaai.v32i1.11321 | 32 | 1 | null | official | 1701.03079 | title_snapshot |
10.1609/aaai.v32i1.11322 | Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes | https://ojs.aaai.org/index.php/AAAI/article/view/11322 | https://ojs.aaai.org/index.php/AAAI/article/download/11322/11181 | [
"Wenjun Ma",
"Yuncheng Jiang",
"Weiru Liu",
"Xudong Luo",
"Kevin McAreavey"
] | Some well-known paradoxes in decision making (e.g., the Allais paradox, the St. Peterburg paradox, the Ellsberg paradox, and the Machina paradox) reveal that choices conventional expected utility theory predicts could be inconsistent with empirical observations. So, solutions to these paradoxes can help us better under... | main | Cognitive Systems | 10.1609/aaai.v32i1.11322 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11323 | The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for Intelligence | https://ojs.aaai.org/index.php/AAAI/article/view/11323 | https://ojs.aaai.org/index.php/AAAI/article/download/11323/11182 | [
"Snejana Shegheva",
"Ashok Goel"
] | Graphical models offer techniques for capturing the structure of many problems in real-world domains and provide means for representation, interpretation, and inference. The modeling framework provides tools for discovering rules for solving problems by exploring structural relationships. We present the Structural Affi... | main | Cognitive Systems | 10.1609/aaai.v32i1.11323 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11324 | Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering | https://ojs.aaai.org/index.php/AAAI/article/view/11324 | https://ojs.aaai.org/index.php/AAAI/article/download/11324/11183 | [
"Somak Aditya",
"Yezhou Yang",
"Chitta Baral"
] | Many vision and language tasks require commonsense reasoning beyond data-driven image and natural language processing. Here we adopt Visual Question Answering (VQA) as an example task, where a system is expected to answer a question in natural language about an image. Current state-of-the-art systems attempted to solve... | main | Cognitive Systems | 10.1609/aaai.v32i1.11324 | 32 | 1 | null | official | 1803.08896 | title_snapshot |
10.1609/aaai.v32i1.11325 | Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory | https://ojs.aaai.org/index.php/AAAI/article/view/11325 | https://ojs.aaai.org/index.php/AAAI/article/download/11325/11184 | [
"Hao Zhou",
"Minlie Huang",
"Tianyang Zhang",
"Xiaoyan Zhu",
"Bing Liu"
] | Perception and expression of emotion are key factors to the success of dialogue systems or conversational agents. However, this problem has not been studied in large-scale conversation generation so far. In this paper, we propose Emotional Chatting Machine (ECM) that can generate appropriate responses not only in conte... | main | Cognitive Systems | 10.1609/aaai.v32i1.11325 | 32 | 1 | null | official | 1704.01074 | title_snapshot |
10.1609/aaai.v32i1.11327 | HAN: Hierarchical Association Network for Computing Semantic Relatedness | https://ojs.aaai.org/index.php/AAAI/article/view/11327 | https://ojs.aaai.org/index.php/AAAI/article/download/11327/11186 | [
"Xiaolong Gong",
"Hao Xu",
"Linpeng Huang"
] | Measuring semantic relatedness between two words is a significant problem in many areas such as natural language processing. Existing approaches to the semantic relatedness problem mainly adopt the co-occurrence principle and regard two words as highly related if they appear in the same sentence frequently. However, su... | main | Cognitive Systems | 10.1609/aaai.v32i1.11327 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11326 | Glass-Box Program Synthesis: A Machine Learning Approach | https://ojs.aaai.org/index.php/AAAI/article/view/11326 | https://ojs.aaai.org/index.php/AAAI/article/download/11326/11185 | [
"Konstantina Christakopoulou",
"Adam Kalai"
] | Recently proposed models which learn to write computer programs from data use either input/output examples or rich execution traces. Instead, we argue that a novel alternative is to use a glass-box scoring function, given as a program itself that can be directly inspected. Glass-box optimization covers a wide range of ... | main | Cognitive Systems | 10.1609/aaai.v32i1.11326 | 32 | 1 | null | official | 1709.08669 | title_snapshot |
10.1609/aaai.v32i1.11328 | Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations | https://ojs.aaai.org/index.php/AAAI/article/view/11328 | https://ojs.aaai.org/index.php/AAAI/article/download/11328/11187 | [
"Kezhen Chen",
"Kenneth Forbus"
] | Human action recognition remains a difficult problem for AI. Traditional machine learning techniques can have high recognition accuracy, but they are typically black boxes whose internal models are not inspectable and whose results are not explainable. This paper describes a new pipeline for recognizing human actions f... | main | Cognitive Systems | 10.1609/aaai.v32i1.11328 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11329 | Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions | https://ojs.aaai.org/index.php/AAAI/article/view/11329 | https://ojs.aaai.org/index.php/AAAI/article/download/11329/11188 | [
"Maxwell Crouse",
"Clifton McFate",
"Kenneth Forbus"
] | Creating systems that can learn to answer natural language questions has been a longstanding challenge for artificial intelligence. Most prior approaches focused on producing a specialized language system for a particular domain and dataset, and they required training on a large corpus manually annotated with logical f... | main | Cognitive Systems | 10.1609/aaai.v32i1.11329 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11330 | Style Transfer in Text: Exploration and Evaluation | https://ojs.aaai.org/index.php/AAAI/article/view/11330 | https://ojs.aaai.org/index.php/AAAI/article/download/11330/11189 | [
"Zhenxin Fu",
"Xiaoye Tan",
"Nanyun Peng",
"Dongyan Zhao",
"Rui Yan"
] | The ability to transfer styles of texts or images, is an important measurement of the advancement of artificial intelligence (AI). However, the progress in language style transfer is lagged behind other domains, such as computer vision, mainly because of the lack of parallel data and reliable evaluation metrics. In res... | main | Cognitive Systems | 10.1609/aaai.v32i1.11330 | 32 | 1 | null | official | 1711.06861 | title_snapshot |
10.1609/aaai.v32i1.11331 | Towards Building Large Scale Multimodal Domain-Aware Conversation Systems | https://ojs.aaai.org/index.php/AAAI/article/view/11331 | https://ojs.aaai.org/index.php/AAAI/article/download/11331/11190 | [
"Amrita Saha",
"Mitesh Khapra",
"Karthik Sankaranarayanan"
] | While multimodal conversation agents are gaining importance in several domains such as retail, travel etc., deep learning research in this area has been limited primarily due to the lack of availability of large-scale, open chatlogs. To overcome this bottleneck, in this paper we introduce the task of multimodal, domain... | main | Cognitive Systems | 10.1609/aaai.v32i1.11331 | 32 | 1 | null | official | 1704.00200 | title_snapshot |
10.1609/aaai.v32i1.11332 | Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph | https://ojs.aaai.org/index.php/AAAI/article/view/11332 | https://ojs.aaai.org/index.php/AAAI/article/download/11332/11191 | [
"Amrita Saha",
"Vardaan Pahuja",
"Mitesh Khapra",
"Karthik Sankaranarayanan",
"Sarath Chandar"
] | While conversing with chatbots, humans typically tend to ask many questions, a significant portion of which can be answered by referring to large-scale knowledge graphs (KG). While Question Answering (QA) and dialog systems have been studied independently, there is a need to study them closely to evaluate such real-wor... | main | Cognitive Systems | 10.1609/aaai.v32i1.11332 | 32 | 1 | null | official | 1801.10314 | title_snapshot |
10.1609/aaai.v32i1.11433 | Minesweeper with Limited Moves | https://ojs.aaai.org/index.php/AAAI/article/view/11433 | https://ojs.aaai.org/index.php/AAAI/article/download/11433/11292 | [
"Serge Gaspers",
"Stefan Rümmele",
"Abdallah Saffidine",
"Kevin Tran"
] | We consider the problem of playing Minesweeper with a limited number of moves: Given a partially revealed board, a number of available clicks k, and a target probability p, can we win with probability p. We win if we do not click on a mine, and, after our sequence of at most k clicks (which reveal information about the... | main | Game Playing and Interactive Entertainment | 10.1609/aaai.v32i1.11433 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11431 | PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of Smiles | https://ojs.aaai.org/index.php/AAAI/article/view/11431 | https://ojs.aaai.org/index.php/AAAI/article/download/11431/11290 | [
"Nicholas Sohre",
"Moses Adeagbo",
"Nathaniel Helwig",
"Sofia Lyford-Pike",
"Stephen Guy"
] | Animating digital characters has an important role in computer assisted experiences, from video games to movies to interactive robotics. A critical challenge in the field is to generate animations which accurately reflect the state of the animated characters, without looking repetitive or unnatural. In this work, we in... | main | Game Playing and Interactive Entertainment | 10.1609/aaai.v32i1.11431 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11430 | Event Representations for Automated Story Generation with Deep Neural Nets | https://ojs.aaai.org/index.php/AAAI/article/view/11430 | https://ojs.aaai.org/index.php/AAAI/article/download/11430/11289 | [
"Lara Martin",
"Prithviraj Ammanabrolu",
"Xinyu Wang",
"William Hancock",
"Shruti Singh",
"Brent Harrison",
"Mark Riedl"
] | Automated story generation is the problem of automatically selecting a sequence of events, actions, or words that can be told as a story. We seek to develop a system that can generate stories by learning everything it needs to know from textual story corpora. To date, recurrent neural networks that learn language model... | main | Game Playing and Interactive Entertainment | 10.1609/aaai.v32i1.11430 | 32 | 1 | null | official | 1706.01331 | title_snapshot |
10.1609/aaai.v32i1.11432 | Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games | https://ojs.aaai.org/index.php/AAAI/article/view/11432 | https://ojs.aaai.org/index.php/AAAI/article/download/11432/11291 | [
"Rubens Moraes",
"Levi Lelis"
] | Action abstractions restrict the number of legal actions available during search in multi-unit real-time adversarial games, thus allowing algorithms to focus their search on a set of promising actions. Optimal strategies derived from un-abstracted spaces are guaranteed to be no worse than optimal strategies derived fro... | main | Game Playing and Interactive Entertainment | 10.1609/aaai.v32i1.11432 | 32 | 1 | null | official | 1711.08101 | title_snapshot |
10.1609/aaai.v32i1.11483 | A Regression Approach for Modeling Games With Many Symmetric Players | https://ojs.aaai.org/index.php/AAAI/article/view/11483 | https://ojs.aaai.org/index.php/AAAI/article/download/11483/11342 | [
"Bryce Wiedenbeck",
"Fengjun Yang",
"Michael Wellman"
] | We exploit player symmetry to formulate the representation of large normal-form games as a regression task. This formulation allows arbitrary regression methods to be employed in in estimating utility functions from a small subset of the game's outcomes. We demonstrate the applicability both neural networks and Gaussia... | main | Game Theory and Economic Paradigms | 10.1609/aaai.v32i1.11483 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11473 | Tool Auctions | https://ojs.aaai.org/index.php/AAAI/article/view/11473 | https://ojs.aaai.org/index.php/AAAI/article/download/11473/11332 | [
"Janosch Döcker",
"Britta Dorn",
"Ulle Endriss",
"Ronald De Haan",
"Sebastian Schneckenburger"
] | We introduce tool auctions, a novel market mechanism for constructing a cost-efficient assembly line for producing a desired set of products from a given set of goods and tools. Such tools can be used to transform one type of good into a different one. We then study the computational complexity of tool auctions in deta... | main | Game Theory and Economic Paradigms | 10.1609/aaai.v32i1.11473 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11476 | Approximating Bribery in Scoring Rules | https://ojs.aaai.org/index.php/AAAI/article/view/11476 | https://ojs.aaai.org/index.php/AAAI/article/download/11476/11335 | [
"Orgad Keller",
"Avinatan Hassidim",
"Noam Hazon"
] | The classic bribery problem is to find a minimal subset of voters who need to change their vote to make some preferred candidate win.We find an approximate solution for this problem for a broad family of scoring rules (which includes Borda and t-approval), in the following sense: if there is a strategy which requires b... | main | Game Theory and Economic Paradigms | 10.1609/aaai.v32i1.11476 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11475 | Cooperative Games With Bounded Dependency Degree | https://ojs.aaai.org/index.php/AAAI/article/view/11475 | https://ojs.aaai.org/index.php/AAAI/article/download/11475/11334 | [
"Ayumi Igarashi",
"Rani Izsak",
"Edith Elkind"
] | Cooperative games provide a framework to study cooperation among self-interested agents. They offer a number of solution concepts describing how the outcome of the cooperation should be shared among the players. Unfortunately, computational problems associated with many of these solution concepts tend to be intractable... | main | Game Theory and Economic Paradigms | 10.1609/aaai.v32i1.11475 | 32 | 1 | null | official | 1711.07310 | title_snapshot |
10.1609/aaai.v32i1.11474 | The Complexity of Bribery in Network-Based Rating Systems | https://ojs.aaai.org/index.php/AAAI/article/view/11474 | https://ojs.aaai.org/index.php/AAAI/article/download/11474/11333 | [
"Umberto Grandi",
"James Stewart",
"Paolo Turrini"
] | We study the complexity of bribery in a network-based rating system, where individuals are connected in a social network and an attacker, typically a service provider, can influence their rating and increase the overall profit. We derive a number of algorithmic properties of this framework, in particular we show that e... | main | Game Theory and Economic Paradigms | 10.1609/aaai.v32i1.11474 | 32 | 1 | null | official | null | null |
10.1609/aaai.v32i1.11477 | Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources | https://ojs.aaai.org/index.php/AAAI/article/view/11477 | https://ojs.aaai.org/index.php/AAAI/article/download/11477/11336 | [
"John Dickerson",
"Karthik Sankararaman",
"Aravind Srinivasan",
"Pan Xu"
] | Bipartite matching markets pair agents on one side of a market with agents, items, or contracts on the opposing side. Prior work addresses online bipartite matching markets, where agents arrive over time and are dynamically matched to a known set of disposable resources. In this paper, we propose a new model, Online Ma... | main | Game Theory and Economic Paradigms | 10.1609/aaai.v32i1.11477 | 32 | 1 | null | official | 1711.08345 | title_snapshot |
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