Graph Convolution Machine for Context-aware Recommender System. - Jiancan Wu; Xiangnan He 001; Xiang Wang 010; Qifan Wang 001; Weijian Chen 001; Jianxun Lian; Xing Xie 001; Yongdong Zhang 001 (CoRR, 2020)

Self-supervised Graph Learning for Recommendation. - Jiancan Wu; Xiang Wang 010; Fuli Feng; Xiangnan He 001; Liang Chen 001; Jianxun Lian; Xing Xie 001 (SIGIR, 2021)

Deconfounded Training for Graph Neural Networks. - Yongduo Sui; Xiang Wang 010; Jiancan Wu; Xiangnan He 001; Tat-Seng Chua (CoRR, 2021)

Causal Attention for Interpretable and Generalizable Graph Classification. - Yongduo Sui; Xiang Wang 010; Jiancan Wu; Min Lin; Xiangnan He 001; Tat-Seng Chua (KDD, 2022)

Cross Pairwise Ranking for Unbiased Item Recommendation. - Qi Wan; Xiangnan He 001; Xiang Wang 010; Jiancan Wu; Wei Guo 006; Ruiming Tang (WWW, 2022)

On the Effectiveness of Sampled Softmax Loss for Item Recommendation. - Jiancan Wu; Xiang Wang 010; Xingyu Gao 001; Jiawei Chen 007; Hongcheng Fu; Tianyu Qiu; Xiangnan He 001 (CoRR, 2022)

Adversarial Causal Augmentation for Graph Covariate Shift. - Yongduo Sui; Xiang Wang 010; Jiancan Wu; An Zhang 003; Xiangnan He 001 (CoRR, 2022)

Graph convolution machine for context-aware recommender system. - Jiancan Wu; Xiangnan He 001; Xiang Wang 010; Qifan Wang 001; Weijian Chen 001; Jianxun Lian; Xing Xie 001 (Frontiers Comput. Sci., 2022)

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. - Yongduo Sui; Qitian Wu; Jiancan Wu; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2023)

Understanding Contrastive Learning via Distributionally Robust Optimization. - Junkang Wu; Jiawei Chen 007; Jiancan Wu; Wentao Shi 002; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2023)

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. - Zhengyi Yang 007; Jiancan Wu; Zhicai Wang; Xiang Wang 010; Yancheng Yuan; Xiangnan He 001 (NeurIPS, 2023)

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. - Zhengyi Yang 007; Xiangnan He 001; Jizhi Zhang; Jiancan Wu; Xin Xin 003; Jiawei Chen 007; Xiang Wang 010 (SIGIR, 2023)

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. - Jiawei Chen 007; Junkang Wu; Jiancan Wu; Xuezhi Cao; Sheng Zhou 004; Xiangnan He 001 (WWW, 2023)

GIF: A General Graph Unlearning Strategy via Influence Function. - Jiancan Wu; Yi Yang 061; Yuchun Qian; Yongduo Sui; Xiang Wang 010; Xiangnan He 001 (WWW, 2023)

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. - Jiawei Chen 007; Junkang Wu; Jiancan Wu; Sheng Zhou 004; Xuezhi Cao; Xiangnan He 001 (CoRR, 2023)

Recommendation Unlearning via Influence Function. - Yang Zhang 072; Zhiyu Hu; Yimeng Bai; Fuli Feng; Jiancan Wu; Qifan Wang 001; Xiangnan He 001 (CoRR, 2023)

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. - Chengpeng Li 001; Zheng Yuan 002; Hongyi Yuan; Guanting Dong; Keming Lu; Jiancan Wu; Chuanqi Tan; Xiang Wang 010; Chang Zhou (CoRR, 2023)

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. - Chengpeng Li 001; Zhengyi Yang 007; Jizhi Zhang; Jiancan Wu; Dingxian Wang; Xiangnan He 001; Xiang Wang 010 (CoRR, 2023)

Large Language Model Can Interpret Latent Space of Sequential Recommender. - Zhengyi Yang 007; Jiancan Wu; Yanchen Luo; Jizhi Zhang; Yancheng Yuan; An Zhang 003; Xiang Wang 010; Xiangnan He 001 (CoRR, 2023)

LLaRA: Aligning Large Language Models with Sequential Recommenders. - Jiayi Liao; Sihang Li 002; Zhengyi Yang 007; Jiancan Wu; Yancheng Yuan; Xiang Wang 010 (CoRR, 2023)

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. - Chengpeng Li 001; Zheng Yuan 002; Hongyi Yuan; Guanting Dong; Keming Lu; Jiancan Wu; Chuanqi Tan; Xiang Wang 010; Chang Zhou (ACL (1), 2024)

Masked Graph Modeling with Multi- View Contrast. - Yanchen Luo; Sihang Li 002; Yongduo Sui; Junkang Wu; Jiancan Wu; Xiang Wang 010 (ICDE, 2024)

BSL: Understanding and Improving Softmax Loss for Recommendation. - Junkang Wu; Jiawei Chen 007; Jiancan Wu; Wentao Shi 002; Jizhi Zhang; Xiang Wang 010 (ICDE, 2024)

Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. - Xiaoyu Kong; Jiancan Wu; An Zhang 003; Leheng Sheng; Hui Lin; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2024)

β-DPO: Direct Preference Optimization with Dynamic β. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2024)

LLaRA: Large Language-Recommendation Assistant. - Jiayi Liao; Sihang Li 002; Zhengyi Yang 007; Jiancan Wu; Yancheng Yuan; Xiang Wang 010; Xiangnan He 001 (SIGIR, 2024)

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. - Zihao Zhao 004; Yi Jing; Fuli Feng; Jiancan Wu; Chongming Gao; Xiangnan He 001 (SIGIR, 2024)

Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. - Yuyue Zhao; Jiancan Wu; Xiang Wang 010; Wei Tang 015; Dingxian Wang; Maarten de Rijke (SIGIR, 2024)

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. - Shuyao Wang; Yongduo Sui; Jiancan Wu; Zhi Zheng 008; Hui Xiong 001 (WSDM, 2024)

Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. - Chen-Lu Ding; Jiancan Wu; Wei Lin; Shiyang Shen; Xiang Wang 010; Yancheng Yuan (CoRR, 2024)

Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization. - Wenyu Mao; Jiancan Wu; Haoyang Liu; Yongduo Sui; Xiang Wang 010 (CoRR, 2024)

Text-guided Diffusion Model for 3D Molecule Generation. - Yanchen Luo; Junfeng Fang; Sihang Li 002; Zhiyuan Liu 001; Jiancan Wu; An Zhang 003; Wenjie Du 003; Xiang Wang 010 (CoRR, 2024)

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. - Junkang Wu; Xue Wang 010; Zhengyi Yang 007; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (CoRR, 2024)

RosePO: Aligning LLM-based Recommenders with Human Values. - Jiayi Liao; Xiangnan He 001; Ruobing Xie; Jiancan Wu; Yancheng Yuan; Xingwu Sun; Zhanhui Kang; Xiang Wang 010 (CoRR, 2024)

Large Language Models Empower Personalized Valuation in Auction. - Jie Sun 030; Tianyu Zhang; Houcheng Jiang; Kexin Huang; Chi Luo; Junkang Wu; Jiancan Wu; An Zhang 003; Xiang Wang 010 (CoRR, 2024)

Position-aware Graph Transformer for Recommendation. - Jiajia Chen; Jiancan Wu; Jiawei Chen 007; Chongming Gao; Yong Li 008; Xiang Wang 010 (CoRR, 2024)

Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation. - Weizhi Nie; Xin Wen; Jing Liu 002; Jiawei Chen 007; Jiancan Wu; Guoqing Jin; Jing Lu; An-An Liu (IEEE Trans. Multim., 2024)

Graph Contrastive Learning With Negative Propagation for Recommendation. - Meishan Liu; Meng Jian; Yulong Bai 002; Jiancan Wu; Lifang Wu (IEEE Trans. Comput. Soc. Syst., 2024)

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. - Yongduo Sui; Wenyu Mao; Shuyao Wang; Xiang Wang 010; Jiancan Wu; Xiangnan He 001; Tat-Seng Chua (ACM Trans. Knowl. Discov. Data, 2024)

On the Effectiveness of Sampled Softmax Loss for Item Recommendation. - Jiancan Wu; Xiang Wang 010; Xingyu Gao 001; Jiawei Chen 007; Hongcheng Fu; Tianyu Qiu (ACM Trans. Inf. Syst., 2024)

How graph convolutions amplify popularity bias for recommendation? - Jiajia Chen; Jiancan Wu; Jiawei Chen 007; Xin Xin 003; Yong Li 008; Xiangnan He 001 (Frontiers Comput. Sci., 2024)

Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning. - Zijian Shao; Jiancan Wu; Weijian Chen 001; Xiang Wang 010 (ACL (1), 2025)

Robust Preference Optimization via Dynamic Target Margins. - Jie Sun 030; Junkang Wu; Jiancan Wu; Zhibo Zhu; Xingyu Lu; Jun Zhou 011; Lintao Ma; Xiang Wang 010 (ACL (Findings), 2025)

Unified Parameter-Efficient Unlearning for LLMs. - Chenlu Ding; Jiancan Wu; Yancheng Yuan; Jinda Lu; Kai Zhang 038; Alex Su; Xiang Wang 010; Xiangnan He 001 (ICLR, 2025)

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jiawei Chen 007; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (ICLR, 2025)

Addressing Missing Data Issue for Diffusion-based Recommendation. - Wenyu Mao; Zhengyi Yang 007; Jiancan Wu; Haozhe Liu; Yancheng Yuan; Xiang Wang 010; Xiangnan He 001 (SIGIR, 2025)

Live streaming recommendation based on multiple types of repeated behaviors. - Mengxiao Zhu 001; Qi Shu; Shuanghong Shen; Li Feng; Jiancan Wu; Zhenya Huang (Expert Syst. Appl., 2025)

Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions. - Chenlu Ding; Jiancan Wu; Yancheng Yuan; Junfeng Fang; Cunchun Li; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Larger or Smaller Reward Margins to Select Preferences for Alignment? - Kexin Huang; Junkang Wu; Ziqian Chen; Xue Wang 010; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He 001; Xiang Wang 010 (CoRR, 2025)

RePO: ReLU-based Preference Optimization. - Junkang Wu; Kexin Huang; Xue Wang 010; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He 001; Xiang Wang 010 (CoRR, 2025)

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. - Jinda Lu; Jinghan Li; Yuan Gao; Junkang Wu; Jiancan Wu; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Reinforced Prompt Personalization for Recommendation with Large Language Models. - Wenyu Mao; Jiancan Wu; Weijian Chen 001; Chongming Gao; Xiang Wang 010; Xiangnan He 001 (ACM Trans. Inf. Syst., 2025)

Recommendation Unlearning via Influence Function. - Yang Zhang 072; Zhiyu Hu; Yimeng Bai; Jiancan Wu; Qifan Wang 001; Fuli Feng (Trans. Recomm. Syst., 2025)

Counterfactual Tuning for Temporal Sensitivity Enhancement in Large Language Model-based Recommendation. - Yutian Liu; Zhengyi Yang 007; Jiancan Wu; Xiang Wang 010 (CoRR, 2025)

On Negative-aware Preference Optimization for Recommendation. - Chenlu Ding; Daoxuan Liu; Jiancan Wu; Xingyu Hu; Junkang Wu; Haitao Wang; Yongkang Wang; Xingxing Wang; Xiang Wang 010 (CoRR, 2025)