Multimodal Deep Denoise Framework for Affective Video Content Analysis. - Yaochen Zhu; Zhenzhong Chen; Feng Wu 001 (ACM Multimedia, 2019)

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 003; Zhenzhong Chen (WWW, 2020)

Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework. - Yaochen Zhu; Jiayi Xie; Zhenzhong Chen (CoRR, 2020)

Automatic Changes Detection between Outdated Building Maps and New VHR Images Based on Pre-Trained Fully Convolutional Feature Maps. - Yunsheng Zhang; Yaochen Zhu; Haifeng Li 007; Siyang Chen; Jian Peng 009; Ling Zhao 005 (Sensors, 2020)

Collaborative Variational Bandwidth Auto-encoder for Recommender Systems. - Yaochen Zhu; Zhenzhong Chen (CoRR, 2021)

Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems. - Yaochen Zhu; Zhenzhong Chen (WWW, 2022)

Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention. - Yaochen Zhu; Xubin Ren; Jing Yi; Zhenzhong Chen (CoRR, 2022)

Affective Video Content Analysis via Multimodal Deep Quality Embedding Network. - Yaochen Zhu; Zhenzhong Chen; Feng Wu 001 (IEEE Trans. Affect. Comput., 2022)

Path-Specific Counterfactual Fairness for Recommender Systems. - Yaochen Zhu; Jing Ma 002; Liang Wu 006; Qi Guo; Liangjie Hong; Jundong Li (KDD, 2023)

Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization. - Yaochen Zhu; Jing Ma 002; Jundong Li (CoRR, 2023)

Personality-aware Human-centric Multimodal Reasoning: A New Task. - Yaochen Zhu; Xiangqing Shen; Rui Xia (CoRR, 2023)

Micro-Video Popularity Prediction Via Multimodal Variational Information Bottleneck. - Jiayi Xie; Yaochen Zhu; Zhenzhong Chen (IEEE Trans. Multim., 2023)

Cross-Modal Variational Auto-Encoder for Content-Based Micro-Video Background Music Recommendation. - Jing Yi; Yaochen Zhu; Jiayi Xie; Zhenzhong Chen (IEEE Trans. Multim., 2023)

Variational Bandwidth Auto-Encoder for Hybrid Recommender Systems. - Yaochen Zhu; Zhenzhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge Graph-Enhanced Large Language Models via Path Selection. - Haochen Liu; Song Wang 013; Yaochen Zhu; Yushun Dong; Jundong Li (ACL (Findings), 2024)

Understanding and Modeling Job Marketplace with Pretrained Language Models. - Yaochen Zhu; Liang Wu 006; Binchi Zhang; Song Wang 013; Qi Guo; Liangjie Hong; Luke Simon; Jundong Li (CIKM, 2024)

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 (EMNLP (Findings), 2024)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. - Linxin Guo; Yaochen Zhu; Min Gao 001; Yinghui Tao; Junliang Yu; Chen Chen 022 (KDD, 2024)

Causal Inference with Latent Variables: Recent Advances and Future Prospectives. - Yaochen Zhu; Yinhan He; Jing Ma 002; Mengxuan Hu; Sheng Li 001; Jundong Li (KDD, 2024)

Collaborative Large Language Model for Recommender Systems. - Yaochen Zhu; Liang Wu 006; Qi Guo; Liangjie Hong; Jundong Li (WWW, 2024)

DPPA: Pruning Method for Large Language Model to Model Merging. - Yaochen Zhu; Rui Xia; Jiajun Zhang 001 (CoRR, 2024)

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. - Xuansheng Wu; Haiyan Zhao 003; Yaochen Zhu; Yucheng Shi; Fan Yang 023; Tianming Liu 001; Xiaoming Zhai; Wenlin Yao; Jundong Li; Mengnan Du; Ninghao Liu (CoRR, 2024)

Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models. - Jinliang Lu; Ziliang Pang; Min Xiao; Yaochen Zhu; Rui Xia; Jiajun Zhang (CoRR, 2024)

Deep Causal Reasoning for Recommendations. - Yaochen Zhu; Jing Yi; Jiayi Xie; Zhenzhong Chen (ACM Trans. Intell. Syst. Technol., 2024)

Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables. - Yaochen Zhu; Jing Ma 002; Liang Wu 006; Qi Guo; Liangjie Hong; Jundong Li (ICLR, 2025)

Collaborative Diffusion Model for Recommender System. - Gyuseok Lee; Yaochen Zhu; Hwanjo Yu; Yao Zhou; Jundong Li (WWW (Companion Volume), 2025)

Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems. - Yaochen Zhu; Chao Wan; Harald Steck; Dawen Liang; Yesu Feng; Nathan Kallus; Jundong Li (WWW, 2025)

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. - Song Wang 013; Zhen Tan 001; Yaochen Zhu; Chuxu Zhang; Jundong Li (Trans. Mach. Learn. Res., 2025)

Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. - Yinhan He; Wendy Zheng; Yaochen Zhu; Jing Ma 002; Saumitra Mishra; Natraj Raman; Ninghao Liu; Jundong Li (Trans. Mach. Learn. Res., 2025)

Knowledge Editing for Large Language Models: A Survey. - Song Wang 013; Yaochen Zhu; Haochen Liu; Zaiyi Zheng; Chen Chen 022; Jundong Li (ACM Comput. Surv., 2025)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. - Xingbo Fu; Zehong Wang; Zihan Chen 002; Jiazheng Li 012; Yaochen Zhu; Zhen Lei 001; Cong Shen 001; Yanfang Ye 001; Chuxu Zhang; Jundong Li (CoRR, 2025)

Disentangling User Interest and Geographical Context for POI Recommendations. - Wenhui Meng; Jiayi Xie; Jing Yi; Yaochen Zhu; Zhenzhong Chen (ACM Trans. Intell. Syst. Technol., 2025)