Publications

Google Scholar  ·  DBLP  ·  100+ papers  ·  28,000+ citations  ·  h-index = 60

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LLM
Knowledge Editing LLM Alignment LLM Reasoning
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Agentic Systems Long-context Agents Multi-agent
RecSys
LLM for RecSys Sequential RecSys Neural Reranking
Safety
Safety Alignment Backdoor Defense Multimodal Safety
2026
ICLR '26
Denoising Neural Reranker for Recommender Systems
Wenyu Mao, Shuchang Liu, HailanYang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang
ICLR '26
Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning
Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
ICLR '26
Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents
Yaorui Shi, Yuxin Chen, Siyuan Wang, Sihang Li, Hengxing Cai, Qi GU, Xiang Wang, An Zhang
ICLR '26
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 '26
AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning
Yi Zhang, An Zhang, XiuYu Zhang, Leheng Sheng, Yuxin Chen, Zhenkai Liang, Xiang Wang
ICLR '26
AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
Leheng Sheng, Changshuo Shen, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua
ICLR '26
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 '26
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
2025
ICLR '25
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Shi Jie, Xiang Wang*, Xiangnan He, Tat-Seng Chua
Outstanding Paper Award (1 of 3 / 3,704)
ICLR '25
Language Representations Can be What Recommenders Need: Findings and Potentials
Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang*, Tat-Seng Chua
Oral
ICLR '25
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang*, Xiangnan He
ICLR '25
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 '25
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang*, Kenji Kawaguchi, Tat-Seng Chua
ICML '25
Multi-agent Architecture Search via Agentic Supernet
Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang*
Spotlight
ICML '25
AnyEdit: Edit Any Knowledge Encoded in Language Models
Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Guojun Ma, Mingyang Wan, Xiang Wang*, Xiangnan He*, Tat-Seng Chua
ICML '25
Reinforced Lifelong Editing for Language Models
Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang*
ICML '25
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang*
ICML '25
DAMO: 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 '25
Larger or Smaller Reward Margins to Select Preferences for Alignment?
Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang*
NeurIPS '25
Think before Recommendation: Autonomous Reasoning-enhanced Recommender
Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang
NeurIPS '25
3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
Chang Wu, Zhiyuan Liu, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang
NeurIPS '25
Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning
Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang
NeurIPS '25
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang
NeurIPS '25
RePO: Understanding Preference Learning Through ReLU-Based Optimization
Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
NeurIPS '25
On Reasoning Strength Planning in Large Reasoning Models
Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, Yi Zhang, Xiang Wang, Tat-Seng Chua
NeurIPS '25
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Hengxing Cai, Kenji Kawaguchi, Tat-Seng Chua, Yang Zhang, Xiang Wang
NeurIPS '25
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang
2024
NeurIPS '24
β-DPO: Direct Preference Optimization with Dynamic β
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang*, Xiangnan He
SIGIR '24
Llara: Aligning Large Language Models with Sequential Recommenders
Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang*, Xiangnan He
Best Paper Finalist Most Influential @ SIGIR 2024
SIGIR '24
On Generative Agents for Recommendation
An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang*, Tat-Seng Chua
Most Influential @ SIGIR 2024
ICLR '24
3D-MoLM: 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
2023
TOIS '23
Bias and Debias in Recommender Systems: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
ESI Highly Cited Paper · 1,024 citations
WSDM '23
Cooperative Explanations of Graph Neural Networks
Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
WSDM '23
Alleviating Structural Distribution Shift in Graph Anomaly Detection
Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
2022
NeurIPS '22
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
ICML '22
Let Invariant Rationale Discovery inspire Graph Contrastive Learning
Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua
ICLR '22
Discovering Invariant Rationales for Graph Neural Networks
YingXin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
TPAMI '22
Reinforced Causal Explainer for Graph Neural Networks
Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua
KDD '22
Causal Attention for Interpretable and Generalizable Graph Classification
Yongduo Sui, Xiang Wang*, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
Most Influential @ KDD 2022
KDD '22
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
CVPR '22
Invariant Grounding for Video Question Answering
Yicong Li, Xiang Wang*, Junbin Xiao, Wei Ji, Tat-Seng Chua
Oral Best Paper Finalist
CVPR '22
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang
Oral
IEEE S&P '22
ShadeWatcher: Recommendation-guided Cyber Threat Analysis using System Audit Records
Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua
ISSTA '22
TELL: Log Level Suggestions via Modeling Multi-level Code Block Information
Jiahao Liu, Jun Zeng, Xiang Wang, Kaihang Ji, Zhenkai Liang
TOIS '22
Time-aware Path Reasoning on Knowledge Graph for Recommendation
Yuyue Zhao, Xiang Wang, Jiawei Chen, Wei Tang, Yashen Wang, Xiangnan He, Haiyong Xie
WWW '22
Cross Pairwise Ranking for Unbiased Item Recommendation
Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
TKDE '22
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
ACM MM '22
Equivariant and Invariant Grounding for Video Question Answering
Yicong Li, Xiang Wang*, et al.
2021
NeurIPS '21
Towards Multi-Grained Explainability for Graph Neural Networks
Xiang Wang, Yingxin Wu, An Zhang, Xiangnan He, Tat-Seng Chua
WWW '21
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
3rd Most Cited @ WWW 2021 · 562 citations
SIGIR '21
Self-Supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang*, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
Most Cited @ SIGIR 2021 · 1,532 citations
SIGIR '21
Disentangled Graph Collaborative Filtering
Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
Top-3 Most Cited @ SIGIR 2021 · 696 citations
ACM MM '21
Contrastive Learning for Cold-Start Recommendation
Yinwei Wei, Xiang Wang*, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua
TMM '21
Hierarchical User Intent Graph Network for Multimedia Recommendation
Yinwei Wei, Xiang Wang*, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua
2020
WWW '20
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Xiang Wang, Yaokun Xu, Xiangnan He, Yinxin Cao, Meng Wang, Tat-Seng Chua
Most Influential @ WWW 2020
SIGIR '20
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang
Most Cited SIGIR Paper in Past 10 Years · 4,712 citations
SIGIR '20
Hierarchical Fashion Graph Network for Personalised Outfit Recommendation
Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua
KDD '20
Interactive Path Reasoning on Graph for Conversational Recommendation
Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua
ACM MM '20
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua
ACM MM '20
How to Learn Item Representation for Cold-Start Multimedia Recommendation?
Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, Tat-Seng Chua
AAAI '20
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua
IJCAI '20
Smart Contract Vulnerability Detection Using Graph Neural Networks
Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He
IJCAI '20
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang
2019
KDD '19
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua
3rd Most Cited @ KDD 2019 · 2,482 citations
SIGIR '19
Neural Graph Collaborative Filtering
Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua
2nd Most Cited SIGIR Paper in Past 10 Years · 3,853 citations
SIGIR '19
Interpretable Fashion Matching with Rich Attributes
Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua
AAAI '19
Explainable Reasoning over Knowledge Graph Paths for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
Most Influential @ AAAI 2019 · 946 citations
WWW '19
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference
Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua
Most Influential @ WWW 2019 · 726 citations
ACM MM '19
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-Video
Yinwei Wei, Xiang Wang*, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua
805 citations
TIP '19
Neural Multimodal Cooperative Learning toward Micro-Video Understanding
Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen
TOIS '19
Temporal Relational Ranking for Stock Prediction
Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua
2018
WWW '18
TEM: Tree-enhanced Embedding Model for Explainable Recommendation
Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua
Most Influential @ WWW 2018 · 294 citations
IJCAI '18
Outer Product-based Neural Collaborative Filtering
Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua
SIGIR '18
Attentive Moment Retrieval in Videos
Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua
SIGIR '18
A Personal Privacy Preserving Framework
Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu
2017
SIGIR '17
Item Silk Road: Recommending Items from Information Domains to Social Users
Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua
Most Influential @ SIGIR 2017 · 322 citations
SIGIR '17
Computational Social Indicators: A Case Study of Chinese University Ranking
Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua
TOIS '17
Unifying Virtual and Physical Worlds: Learning towards Local and Global Consistency
Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua