Update README.md

README.md

@@ -55,7 +55,7 @@ configs:
 
 - 📄 Paper: [NeurIPS 2025 Poster](https://neurips.cc/virtual/2025/poster/119127)
 - 📬 Contact:
-  - Zihao Jing: zjing29@uwo.ca
+  - Zihao Jing: zjing29@uwo.ca | Wechat: A2016A315214 | Instagram: nobeljing25
   - Pingzhao Hu: phu49@uwo.ca
 
 ## Abstract
@@ -123,6 +123,20 @@ We use `preprocess/mol3d_processor.py` to derive graph and geometry features fro
 - BRICS-based fragmentation provides `fra_edge_index`, `fra_edge_attr`, and `cluster_idx`.
 - Geometry connections and fragment geometry provide `ba_edge_index`, `ba_edge_attr`, `bafra_edge_index`, `bafra_edge_attr`.
 
+## Citation
+
+If you find this work useful, please cite:
+
+Zihao Jing, Yan Sun, Yanyi Li, Sugitha Janarthanan, Alana Deng, and Pingzhao Hu. "MuMo: Multimodal Molecular Representation Learning via Structural Fusion and Progressive Injection." In Advances in Neural Information Processing Systems (NeurIPS), 2025. ([paper](https://neurips.cc/virtual/2025/poster/119127))
+
+```bibtex
+@inproceedings{jing2025mumo,
+  title        = {MuMo: Multimodal Molecular Representation Learning via Structural Fusion and Progressive Injection},
+  author       = {Jing, Zihao and Sun, Yan and Li, Yan Yi and Janarthanan, Sugitha and Deng, Alana and Hu, Pingzhao},
+  booktitle    = {Advances in Neural Information Processing Systems (NeurIPS)},
+  year         = {2025}
+}
+```
 ## License
 
 MIT