Jiancan Wu - RankMe

96 papers A* 22A 3Journal 67Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. Int. J. Comput. Vis. Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He
2026	J	`jnl`	Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Mingzhu Chen, Jiancan Wu, Kuien Liu, Xiang Wang
2026	J	`jnl`	Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Guoyin Wang, Jiancan Wu, Xiang Wang, Xiangnan He
2026	J	`jnl`	Collaborative Multi-Agent Optimization for Personalized Memory System. CoRR Wenyu Mao, Haoyang Liu, Zhao Liu, Haosong Tan, Yaorui Shi, Jiancan Wu, An Zhang, Xiang Wang
2026	J	`jnl`	Confidence Before Answering: A Paradigm Shift for Efficient LLM Uncertainty Estimation. CoRR Changcheng Li, Jiancan Wu, Hengheng Zhang, Zhengsu Chen, Guo An, Junxiang Qiu, Xiang Wang, Qi Tian
2026	A*	`conf`	Delayed Feedback Modeling with Influence Functions. AAAI Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich
2026	J	`jnl`	Fine-grained Semantics Integration for Large Language Model-based Recommendation. CoRR Jiawei Feng, Xiaoyu Kong, Leheng Sheng, Bin Wu, Chao Yi, Feifang Yang, Xiang-Rong Sheng, Han Zhu, Xiang Wang, Jiancan Wu, Xiangnan He
2026	J	`jnl`	Invariant graph learning meets information bottleneck for out-of-distribution generalization. Frontiers Comput. Sci. Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang
2026	J	`jnl`	Large Language Model Can Interpret Latent Space of Sequential Recommender. ACM Trans. Inf. Syst. Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He
2026	J	`jnl`	MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation. CoRR Yu Wang, Yonghui Yang, Le Wu, Jiancan Wu, Hefei Xu, Hui Lin
2026	J	`jnl`	On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation. CoRR Kexin Huang, Haoming Meng, Junkang Wu, Jinda Lu, Chiyu Ma, Ziqian Chen, Xue Wang, Bolin Ding, Jiancan Wu, Xiang Wang, Xiangnan He, Guoyin Wang, Jingren Zhou
2025	J	`jnl`	AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. CoRR Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He
2025	J	`jnl`	Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions. CoRR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Junfeng Fang, Cunchun Li, Xiang Wang, Xiangnan He
2025	A*	`conf`	Addressing Missing Data Issue for Diffusion-based Recommendation. SIGIR Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	J	`jnl`	Addressing Missing Data Issue for Diffusion-based Recommendation. CoRR Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	A*	`conf`	AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. ICML Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	J	`jnl`	Counterfactual Tuning for Temporal Sensitivity Enhancement in Large Language Model-based Recommendation. CoRR Yutian Liu, Zhengyi Yang, Jiancan Wu, Xiang Wang
2025	J	`jnl`	Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation. CoRR Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang
2025	A	`conf`	LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems. RecSys Yuyue Zhao, Jin Huang, Shuchang Liu, Jiancan Wu, Xiang Wang, Maarten de Rijke
2025	—	`conf`	LaMP-Val: Large Language Models Empower Personalized Valuation in Auction. EMNLP (Findings) Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang
2025	J	`jnl`	Larger or Smaller Reward Margins to Select Preferences for Alignment? CoRR Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	J	`jnl`	Live streaming recommendation based on multiple types of repeated behaviors. Expert Syst. Appl. Mengxiao Zhu, Qi Shu, Shuanghong Shen, Li Feng, Jiancan Wu, Zhenya Huang
2025	J	`jnl`	MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering. CoRR Chenlu Ding, Jiancan Wu, Leheng Sheng, Fan Zhang, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	J	`jnl`	MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation. CoRR Xiaoyu Kong, Leheng Sheng, Junfei Tan, Yuxin Chen, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
2025	J	`jnl`	On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders. CoRR Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang
2025	J	`jnl`	On Negative-aware Preference Optimization for Recommendation. CoRR Chenlu Ding, Daoxuan Liu, Jiancan Wu, Xingyu Hu, Junkang Wu, Haitao Wang, Yongkang Wang, Xingxing Wang, Xiang Wang
2025	—	`conf`	Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning. ACL (1) Zijian Shao, Jiancan Wu, Weijian Chen, Xiang Wang
2025	J	`jnl`	Position-aware Graph Transformer for Recommendation. ACM Trans. Inf. Syst. Jiajia Chen, Jiancan Wu, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang
2025	J	`jnl`	Quantile Advantage Estimation for Entropy-Safe Reasoning. CoRR Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
2025	J	`jnl`	RePO: ReLU-based Preference Optimization. CoRR Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	J	`jnl`	Recommendation Unlearning via Influence Function. Trans. Recomm. Syst. Yang Zhang, ZhiYu Hu, Yimeng Bai, Jiancan Wu, Qifan Wang, Fuli Feng
2025	J	`jnl`	Reinforced Prompt Personalization for Recommendation with Large Language Models. ACM Trans. Inf. Syst. Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He
2025	—	`conf`	Robust Preference Optimization via Dynamic Target Margins. ACL (Findings) Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025	J	`jnl`	Robust Preference Optimization via Dynamic Target Margins. CoRR Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025	J	`jnl`	Think before Recommendation: Autonomous Reasoning-enhanced Recommender. CoRR Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang
2025	A	`conf`	Towards Large Generative Recommendation: A Tokenization Perspective. CIKM Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2025	A*	`conf`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. ICLR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	A*	`conf`	Unified Parameter-Efficient Unlearning for LLMs. ICLR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2025	J	`jnl`	bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs. CoRR Wence Ji, Jiancan Wu, Aiying Li, Shuyi Zhang, Junkang Wu, An Zhang, Xiang Wang, Xiangnan He
2024	J	`jnl`	Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. CoRR Chenlu Ding, Jiancan Wu, Wei Lin, Shiyang Shen, Xiang Wang, Yancheng Yuan
2024	A*	`conf`	BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
2024	A*	`conf`	Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. NeurIPS Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He
2024	J	`jnl`	Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. CoRR Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He
2024	A	`conf`	Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. WSDM Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong
2024	J	`jnl`	Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. CoRR Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong
2024	J	`jnl`	Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
2024	J	`jnl`	Graph Contrastive Learning With Negative Propagation for Recommendation. IEEE Trans. Comput. Soc. Syst. Meishan Liu, Meng Jian, Yulong Bai, Jiancan Wu, Lifang Wu
2024	J	`jnl`	How graph convolutions amplify popularity bias for recommendation? Frontiers Comput. Sci. Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He
2024	J	`jnl`	Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang
2024	J	`jnl`	Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation. IEEE Trans. Multim. Weizhi Nie, Xin Wen, Jing Liu, Jiawei Chen, Jiancan Wu, Guoqing Jin, Jing Lu, An-An Liu
2024	A*	`conf`	LLaRA: Large Language-Recommendation Assistant. SIGIR Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He
2024	J	`jnl`	Large Language Models Empower Personalized Valuation in Auction. CoRR Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Chi Luo, Junkang Wu, Jiancan Wu, An Zhang, Xiang Wang
2024	A*	`conf`	Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. SIGIR Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
2024	J	`jnl`	Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. CoRR Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
2024	A*	`conf`	Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
2024	J	`jnl`	Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
2024	A*	`conf`	Masked Graph Modeling with Multi- View Contrast. ICDE Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang
2024	—	`conf`	MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou
2024	J	`jnl`	On the Effectiveness of Sampled Softmax Loss for Item Recommendation. ACM Trans. Inf. Syst. Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu
2024	J	`jnl`	Position-aware Graph Transformer for Recommendation. CoRR Jiajia Chen, Jiancan Wu, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang
2024	J	`jnl`	Reinforced Prompt Personalization for Recommendation with Large Language Models. CoRR Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He
2024	J	`jnl`	RosePO: Aligning LLM-based Recommenders with Human Values. CoRR Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang
2024	J	`jnl`	Text-guided Diffusion Model for 3D Molecule Generation. CoRR Yanchen Luo, Junfeng Fang, Sihang Li, Zhiyuan Liu, Jiancan Wu, An Zhang, Wenjie Du, Xiang Wang
2024	J	`jnl`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	Unified Parameter-Efficient Unlearning for LLMs. CoRR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2024	J	`jnl`	α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. CoRR Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	A*	`conf`	β-DPO: Direct Preference Optimization with Dynamic β. NeurIPS Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	β-DPO: Direct Preference Optimization with Dynamic β. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2023	A*	`conf`	A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang
2023	J	`jnl`	Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He
2023	A*	`conf`	Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He
2023	J	`jnl`	BSL: Understanding and Improving Softmax Loss for Recommendation. CoRR Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
2023	A*	`conf`	GIF: A General Graph Unlearning Strategy via Influence Function. WWW Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
2023	J	`jnl`	GIF: A General Graph Unlearning Strategy via Influence Function. CoRR Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
2023	A*	`conf`	Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. NeurIPS Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
2023	J	`jnl`	Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. CoRR Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
2023	J	`jnl`	How Graph Convolutions Amplify Popularity Bias for Recommendation? CoRR Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He
2023	J	`jnl`	LLaRA: Aligning Large Language Models with Sequential Recommenders. CoRR Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang
2023	J	`jnl`	Large Language Model Can Interpret Latent Space of Sequential Recommender. CoRR Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He
2023	J	`jnl`	Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang
2023	J	`jnl`	Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. CoRR Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou
2023	J	`jnl`	Recommendation Unlearning via Influence Function. CoRR Yang Zhang, ZhiYu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He
2023	A*	`conf`	Understanding Contrastive Learning via Distributionally Robust Optimization. NeurIPS Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
2023	J	`jnl`	Understanding Contrastive Learning via Distributionally Robust Optimization. CoRR Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
2023	A*	`conf`	Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He
2022	J	`jnl`	Adversarial Causal Augmentation for Graph Covariate Shift. CoRR Yongduo Sui, Xiang Wang, Jiancan Wu, An Zhang, Xiangnan He
2022	A*	`conf`	Causal Attention for Interpretable and Generalizable Graph Classification. KDD Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
2022	A*	`conf`	Cross Pairwise Ranking for Unbiased Item Recommendation. WWW Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022	J	`jnl`	Cross Pairwise Ranking for Unbiased Item Recommendation. CoRR Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022	J	`jnl`	Graph convolution machine for context-aware recommender system. Frontiers Comput. Sci. Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie
2022	J	`jnl`	On the Effectiveness of Sampled Softmax Loss for Item Recommendation. CoRR Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu, Xiangnan He
2021	J	`jnl`	Deconfounded Training for Graph Neural Networks. CoRR Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
2021	A*	`conf`	Self-supervised Graph Learning for Recommendation. SIGIR Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2020	J	`jnl`	Graph Convolution Machine for Context-aware Recommender System. CoRR Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang
2020	J	`jnl`	Self-supervised Graph Learning for Recommendation. CoRR Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie