| 2026 | WSDM | MolEdit: Knowledge Editing for Multimodal Molecule Language Models. | Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li |
| 2025 | CIKM | MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings. | Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li |
| 2025 | EMNLP | Learning from Diverse Reasoning Paths with Routing and Collaboration. | Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li |
| 2025 | EMNLP | CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. | Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li |
| 2025 | EMNLP | LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience. | Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li |
| 2025 | ICLR | Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables. | Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li |
| 2025 | ICML | Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models. | Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li |
| 2025 | KDD | Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. | Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li |
| 2025 | WWW | Collaborative Diffusion Model for Recommender System. | Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li |
| 2025 | WWW | Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems. | Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li |
| 2024 | ACL | Knowledge Graph-Enhanced Large Language Models via Path Selection. | Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li |
| 2024 | CIKM | Understanding and Modeling Job Marketplace with Pretrained Language Models. | Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li |
| 2024 | EMNLP | Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs. | Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li |
| 2024 | KDD | Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. | Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen |
| 2024 | KDD | Causal Inference with Latent Variables: Recent Advances and Future Prospectives. | Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li |
| 2024 | WWW | Collaborative Large Language Model for Recommender Systems. | Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li |
| 2023 | KDD | Path-Specific Counterfactual Fairness for Recommender Systems. | Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li |
| 2022 | WWW | Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems. | Yaochen Zhu, Zhenzhong Chen |
| 2020 | WWW | A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction. | Jiayi Xie, Yaochen Zhu, Zhibin Zhang, Jian Peng, Jing Yi, Yaosi Hu, Hongyi Liu, Zhenzhong Chen |