He, Xiangnan

61 publications

ICLR 2026 Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning 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

ICLR 2026 DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal Regulation Houcheng Jiang, Zetong Zhao, Junfeng Fang, Haokai Ma, Ruipeng Wang, Xiang Wang, Xiangnan He, Yang Deng

ICLR 2026 GuardAlign: Test-Time Safety Alignment in Multimodal Large Language Models Xingyu Zhu, Beier Zhu, Junfeng Fang, Shuo Wang, Yin Zhang, Xiang Wang, Xiangnan He

ICLR 2026 Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation Xingyu Zhu, Kesen Zhao, Liang Yi, Shuo Wang, Zhicai Wang, Beier Zhu, Hanwang Zhang, Xiangnan He

ICLR 2026 Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He

ICLR 2026 Reinforced Latent Reasoning for LLM-Based Recommendation Yang Zhang, Wenxin Xu, Xiaoyan Zhao, Wenjie Wang, Fuli Feng, Xiangnan He, Tat-Seng Chua

ICLR 2026 Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation Chengbing Wang, Yang Zhang, Wenjie Wang, Xiaoyan Zhao, Fuli Feng, Xiangnan He, Tat-Seng Chua

ICML 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

ICLR 2025 AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua

ICML 2025 AnyEdit: Edit Any Knowledge Encoded in Language Models Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua

ICML 2025 DAMA: Data- and Model-Aware Alignment of Multi-Modal LLMs Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He

ICML 2025 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

NeurIPS 2025 Less Is More: Improving LLM Alignment via Preference Data Selection Xun Deng, Han Zhong, Rui Ai, Fuli Feng, Zheng Wang, Xiangnan He

CVPR 2025 Precise, Fast, and Low-Cost Concept Erasure in Value Space: Orthogonal Complement Matters Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He

NeurIPS 2025 RePO: Understanding Preference Learning Through ReLU-Based Optimization Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

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

ICLR 2025 Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

NeurIPS 2024 $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

ICML 2024 A3S: A General Active Clustering Method with Pairwise Constraints Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang

ICLR 2024 Be Aware of the Neighborhood Effect: Modeling Selection Bias Under Interference Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He

AAAI 2024 Boosting Few-Shot Learning via Attentive Feature Regularization Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He

NeurIPS 2024 Customizing Language Models with Instance-Wise LoRA for Sequential Recommendation Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He

CVPR 2024 Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian

AAAI 2024 Text-to-Image Generation for Abstract Concepts Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang

ICLR 2024 Towards 3D Molecule-Text Interpretation in Language Models Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian

CVPR 2023 Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He

IJCAI 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He

NeurIPS 2023 Evaluating Post-Hoc Explanations for Graph Neural Networks via Robustness Analysis Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He

NeurIPS 2023 Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He

NeurIPS 2023 Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He

AAAI 2023 Knowledge Graph Embedding by Normalizing Flows Changyi Xiao, Xiangnan He, Yixin Cao

NeurIPS 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu

NeurIPS 2023 Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He

NeurIPS 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He

ICLR 2022 Discovering Invariant Rationales for Graph Neural Networks Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua

CVPR 2022 Group Contextualization for Video Recognition Yanbin Hao, Hao Zhang, Chong-Wah Ngo, Xiangnan He

ICML 2022 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua

IJCAI 2021 Graph Learning Based Recommender Systems: A Review Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

NeurIPS 2021 Towards Multi-Grained Explainability for Graph Neural Networks Xiang Wang, Yingxin Wu, An Zhang, Xiangnan He, Tat-Seng Chua

IJCAI 2020 Bilinear Graph Neural Network with Neighbor Interactions Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang

AAAI 2020 Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

AAAI 2020 Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua

AAAI 2019 Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan

IJCAI 2019 CFM: Convolutional Factorization Machines for Context-Aware Recommendation Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose

ICCV 2019 Counterfactual Critic Multi-Agent Training for Scene Graph Generation Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang

IJCAI 2019 Enhancing Stock Movement Prediction with Adversarial Training Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua

AAAI 2019 Explainable Reasoning over Knowledge Graphs for Recommendation Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua

IJCAI 2019 Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng

IJCAI 2019 Reinforced Negative Sampling for Recommendation with Exposure Data Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin

IJCAI 2019 Semi-Supervised User Profiling with Heterogeneous Graph Attention Networks Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang

IJCAI 2018 A3NCF: An Adaptive Aspect Attention Model for Rating Prediction Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli

IJCAI 2018 Cross-Domain Depression Detection via Harvesting Social Media Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall

IJCAI 2018 Discrete Factorization Machines for Fast Feature-Based Recommendation Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang

AAAI 2018 Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval Zan Gao, Deyu Wang, Xiangnan He, Hua Zhang

IJCAI 2018 Improving Implicit Recommender Systems with View Data Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu

IJCAI 2018 Outer Product-Based Neural Collaborative Filtering Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua

UAI 2018 fBGD: Learning Embeddings from Positive Unlabeled Data with BGD Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose

IJCAI 2017 Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua

IJCAI 2017 Representativeness-Aware Aspect Analysis for Brand Monitoring in Social Media Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua

IJCAI 2017 SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, Min-Yen Kan

AAAI 2015 VELDA: Relating an Image Tweet's Text and Images Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan, Dongyuan Lu