Publications

Google Scholar · OpenReview · 30+ top-tier papers  ·  3,200+ citations  ·  h-index = 27
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LLM LLM Reasoning LLM Alignment LLM Safety
Agent Agentic Systems Long-context Memory
RecSys LLM for RecSys Generative Rec Graph RecSys
Other Multimodal Graph ML
2026
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
arXiv Code
LLM AlignmentLLM Safety
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
arXiv Code
LLM SafetyLLM Alignment
ICLR '26
Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning
Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
LLM Reasoning
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*
Long-contextAgentic SystemsMemory
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
LLM for RecSysGenerative Rec
2025
NeurIPS '25
The Emergence of Abstract Thought in Large Language Models Beyond Any Language
Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang*, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang
OpenReview
Multimodal
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
OpenReview
Generative Rec
NeurIPS '25
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models
Chenhang Cui, Gelei Deng, An Zhang*, Jingnan Zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua
OpenReview
LLM SafetyMultimodal
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
OpenReview
LLM Reasoning
NeurIPS '25
RSafe: Incentivizing Proactive Reasoning to Build Robust and Adaptive LLM Safeguards
Jingnan Zheng, Xiangtian Ji, Yijun Lu, Chenhang Cui, Weixiang Zhao, Gelei Deng, Zhenkai Liang, An Zhang*, Tat-Seng Chua
OpenReview arXiv
LLM Safety
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
OpenReview
LLM Reasoning
NeurIPS '25
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li
OpenReview
Agentic SystemsLLM for RecSys
KDD '25
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation
Yingzhi He, Xiaohao Liu, An Zhang*, Yunshan Ma, Tat-Seng Chua
arXiv
LLM for RecSys
SIGIR '25
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
Guoqing Hu, An Zhang*, Shuo Liu, Xiang Wang, Tat-Seng Chua
arXiv
LLM for RecSys
ICLR '25
Language Representations Can be What Recommenders Need: Findings and Potentials Oral
Leheng Sheng, An Zhang*, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua
OpenReview arXiv Code
LLM for RecSysGenerative Rec
ICLR '25
Preference Diffusion for Recommendation
Shuo Liu, An Zhang*, Guoqing Hu, Hong Qian, Tat-Seng Chua
OpenReview arXiv
Generative Rec
ICLR '25
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Chenhang Cui, An Zhang*, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua
OpenReview arXiv
MultimodalLLM Alignment
2024
NeurIPS '24
On Softmax Direct Preference Optimization for Recommendation
Yuxin Chen, Junfei Tan, An Zhang*, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua
arXiv Code
LLM for RecSysLLM Alignment
NeurIPS '24
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He
arXiv
LLM for RecSys
NeurIPS '24
Towards Neuron Attributions in Multi-Modal Large Language Models
Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua
OpenReview
Multimodal
NeurIPS '24
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
Jingnan Zheng, Han Wang, An Zhang*, Tai D. Nguyen, Jun Sun, Tat-Seng Chua
PDF
Agentic SystemsLLM Safety
ACL '24
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
OpenReview
Multimodal
WWW '24
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout
An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang
OpenReview
Graph RecSys
SIGIR '24
On Generative Agents in Recommendation
An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua
arXiv Code
Agentic SystemsLLM for RecSys
SIGIR '24
Large Language Model Powered Agents for Information Retrieval (Tutorial)
An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua
Website
Agentic Systems
WWW '24
Large Language Model Powered Agents in the Web (Tutorial)
Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua
Website
Agentic Systems
2023
TOIS '23
Robust Collaborative Filtering to Popularity Distribution Shift
An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua
OpenReview
Graph RecSys
EMNLP '23
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction
Yaorui Shi, An Zhang*, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
OpenReview
Multimodal
NeurIPS '23
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
OpenReview
Graph RecSys
NeurIPS '23
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis Oral
Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He
NeurIPS
Graph ML
NeurIPS '23
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
OpenReview
Multimodal
ACM MM '23
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation
Wei Ji, Xiangyan Liu, An Zhang*, Yinwei Wei, Yongxin Ni, Xiang Wang
arXiv
LLM for RecSys
ACM MM '23
Redundancy-aware Transformer for Video Question Answering
Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua
arXiv
Multimodal
KDD '23
Discovering Dynamic Causal Space for DAG Structure Learning
Fangfu Liu, Wenchang Ma, An Zhang*, Xiang Wang, Yueqi Duan, Tat-Seng Chua
OpenReview
Graph ML
WWW '23
Invariant Collaborative Filtering to Popularity Distribution Shift
An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua
arXiv
Graph RecSys
ICLR '23
Boosting Causal Discovery via Adaptive Sample Reweighting
An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
OpenReview
Graph ML
WSDM '23
Cooperative Explanations of Graph Neural Networks
Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
PDF
Graph ML
2022
NeurIPS '22
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
arXiv
Graph RecSys
ICML '22
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua
arXiv
Graph ML
ICLR '22
Discovering Invariant Rationales for Graph Neural Networks
YingXin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
arXiv
Graph ML
TPAMI '22
Reinforced Causal Explainer for Graph Neural Networks
Xiang Wang, Yingxin Wu, An Zhang*, Fuli Feng, Xiangnan He, Tat-Seng Chua
arXiv
Graph ML
KDD '22
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation
Yunshan Ma, Yingzhi He, An Zhang*, Xiang Wang, Tat-Seng Chua
arXiv
Graph RecSys
2021
NeurIPS '21
Towards Multi-Grained Explainability for Graph Neural Networks
Xiang Wang, Yingxin Wu, An Zhang, Xiangnan He, Tat-Seng Chua
Graph ML
2020
SIGIR '20
Disentangled Graph Collaborative Filtering
Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
Graph RecSys