Yaochen Zhu - RankMe

61 papers A* 11A 3B 1Journal 40Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching. CoRR Yuzhe Wang, Yaochen Zhu, Jundong Li
2026	J	`jnl`	IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning. CoRR Yinhan He, Yaochen Zhu, Mingjia Shi, Wendy Zheng, Lin Su, Xiaoqing Wang, Qi Guo, Jundong Li
2026	A	`conf`	MolEdit: Knowledge Editing for Multimodal Molecule Language Models. WSDM Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2026	J	`jnl`	Saliency-Aware Multi-Route Thinking: Revisiting Vision-Language Reasoning. CoRR Mingjia Shi, Yinhan He, Yaochen Zhu, Jundong Li
2025	A*	`conf`	Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables. ICLR Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2025	—	`conf`	CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. EMNLP (Findings) Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li
2025	—	`conf`	Collaborative Diffusion Model for Recommender System. WWW (Companion Volume) Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
2025	J	`jnl`	Collaborative Diffusion Model for Recommender System. CoRR Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
2025	A*	`conf`	Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems. WWW Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li
2025	J	`jnl`	Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems. CoRR Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li
2025	J	`jnl`	Disentangling User Interest and Geographical Context for POI Recommendations. ACM Trans. Intell. Syst. Technol. Wenhui Meng, Jiayi Xie, Jing Yi, Yaochen Zhu, Zhenzhong Chen
2025	J	`jnl`	Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. CoRR Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. Trans. Mach. Learn. Res. Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. Trans. Mach. Learn. Res. Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li
2025	—	`conf`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. KDD (2) Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. CoRR Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Knowledge Editing for Large Language Models: A Survey. ACM Comput. Surv. Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2025	—	`conf`	LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience. EMNLP (Findings) Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li
2025	A*	`conf`	Learning from Diverse Reasoning Paths with Routing and Collaboration. EMNLP Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025	J	`jnl`	Learning from Diverse Reasoning Paths with Routing and Collaboration. CoRR Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025	A	`conf`	MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings. CIKM Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li
2025	J	`jnl`	MolEdit: Knowledge Editing for Multimodal Molecule Language Models. CoRR Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2025	J	`jnl`	Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning. CoRR Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Ostuni, Jundong Li, Nathan Kallus
2025	J	`jnl`	SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens. CoRR Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li
2025	A*	`conf`	Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models. ICML Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li
2025	B	`conf`	VirtualGCN - Enhancing Graph Collaborative Filtering with Virtual Interactions. IEEE Big Data Patrick Soga, Yushun Dong, Yaochen Zhu, Jundong Li, Tong Zhao, Neil Shah
2024	A*	`conf`	Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024	J	`jnl`	Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024	A*	`conf`	Collaborative Large Language Model for Recommender Systems. WWW Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2024	A*	`conf`	Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. KDD Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
2024	J	`jnl`	Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. CoRR Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
2024	J	`jnl`	DPPA: Pruning Method for Large Language Model to Model Merging. CoRR Yaochen Zhu, Rui Xia, Jiajun Zhang
2024	J	`jnl`	Deep Causal Reasoning for Recommendations. ACM Trans. Intell. Syst. Technol. Yaochen Zhu, Jing Yi, Jiayi Xie, Zhenzhong Chen
2024	—	`conf`	Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs. EMNLP (Findings) Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. CoRR Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li
2024	—	`conf`	Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models. CoRR Jinliang Lu, Ziliang Pang, Min Xiao, Yaochen Zhu, Rui Xia, Jiajun Zhang
2024	A	`conf`	Understanding and Modeling Job Marketplace with Pretrained Language Models. CIKM Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024	J	`jnl`	Understanding and Modeling Job Marketplace with Pretrained Language Models. CoRR Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024	J	`jnl`	Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu
2023	J	`jnl`	Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization. CoRR Yaochen Zhu, Jing Ma, Jundong Li
2023	J	`jnl`	Collaborative Large Language Model for Recommender Systems. CoRR Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023	J	`jnl`	Cross-Modal Variational Auto-Encoder for Content-Based Micro-Video Background Music Recommendation. IEEE Trans. Multim. Jing Yi, Yaochen Zhu, Jiayi Xie, Zhenzhong Chen
2023	J	`jnl`	Knowledge Editing for Large Language Models: A Survey. CoRR Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2023	J	`jnl`	Micro-Video Popularity Prediction Via Multimodal Variational Information Bottleneck. IEEE Trans. Multim. Jiayi Xie, Yaochen Zhu, Zhenzhong Chen
2023	A*	`conf`	Path-Specific Counterfactual Fairness for Recommender Systems. KDD Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023	J	`jnl`	Path-Specific Counterfactual Fairness for Recommender Systems. CoRR Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023	J	`jnl`	Personality-aware Human-centric Multimodal Reasoning: A New Task. CoRR Yaochen Zhu, Xiangqing Shen, Rui Xia
2023	J	`jnl`	Variational Bandwidth Auto-Encoder for Hybrid Recommender Systems. IEEE Trans. Knowl. Data Eng. Yaochen Zhu, Zhenzhong Chen
2022	J	`jnl`	Affective Video Content Analysis via Multimodal Deep Quality Embedding Network. IEEE Trans. Affect. Comput. Yaochen Zhu, Zhenzhong Chen, Feng Wu
2022	J	`jnl`	Deep Causal Reasoning for Recommendations. CoRR Yaochen Zhu, Jing Yi, Jiayi Xie, Zhenzhong Chen
2022	J	`jnl`	Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention. CoRR Yaochen Zhu, Xubin Ren, Jing Yi, Zhenzhong Chen
2022	A*	`conf`	Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems. WWW Yaochen Zhu, Zhenzhong Chen
2022	J	`jnl`	Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems. CoRR Yaochen Zhu, Zhenzhong Chen
2021	J	`jnl`	Collaborative Variational Bandwidth Auto-encoder for Recommender Systems. CoRR Yaochen Zhu, Zhenzhong Chen
2021	J	`jnl`	Cross-modal Variational Auto-encoder for Content-based Micro-video Background Music Recommendation. CoRR Jing Yi, Yaochen Zhu, Jiayi Xie, Zhenzhong Chen
2020	A*	`conf`	A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction. WWW Jiayi Xie, Yaochen Zhu, Zhibin Zhang, Jian Peng, Jing Yi, Yaosi Hu, Hongyi Liu, Zhenzhong Chen
2020	J	`jnl`	Automatic Changes Detection between Outdated Building Maps and New VHR Images Based on Pre-Trained Fully Convolutional Feature Maps. Sensors Yunsheng Zhang, Yaochen Zhu, Haifeng Li, Siyang Chen, Jian Peng, Ling Zhao
2020	J	`jnl`	Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework. CoRR Yaochen Zhu, Jiayi Xie, Zhenzhong Chen
2019	A*	`conf`	Multimodal Deep Denoise Framework for Affective Video Content Analysis. ACM Multimedia Yaochen Zhu, Zhenzhong Chen, Feng Wu