Disentangled Graph Collaborative Filtering. - Xiang Wang 010; Hongye Jin; An Zhang 003; Xiangnan He 001; Tong Xu 001; Tat-Seng Chua (SIGIR, 2020)

Towards Multi-Grained Explainability for Graph Neural Networks. - Xiang Wang 010; Ying-Xin Wu 002; An Zhang 003; Xiangnan He 001; Tat-Seng Chua (NeurIPS, 2021)

A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. - An Zhang 003; Xiang Wang 010; Chengfang Fang; Jie Shi; Tat-Seng Chua; Zehua Chen (CoRR, 2021)

Discovering Invariant Rationales for Graph Neural Networks. - Yingxin Wu 002; Xiang Wang 010; An Zhang 003; Xiangnan He 001; Tat-Seng Chua (ICLR, 2022)

Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. - Sihang Li 002; Xiang Wang 010; An Zhang 003; Yingxin Wu 002; Xiangnan He 001; Tat-Seng Chua (ICML, 2022)

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. - Yunshan Ma; Yingzhi He; An Zhang 003; Xiang Wang 010; Tat-Seng Chua (KDD, 2022)

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. - An Zhang 003; Wenchang Ma; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2022)

Deconfounding to Explanation Evaluation in Graph Neural Networks. - Ying-Xin Wu 002; Xiang Wang 010; An Zhang 003; Xia Hu 001; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (CoRR, 2022)

Differentiable Invariant Causal Discovery. - Yu Wang; An Zhang 003; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (CoRR, 2022)

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

ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. - Yaorui Shi; An Zhang 003; Enzhi Zhang; Zhiyuan Liu 001; Xiang Wang 010 (EMNLP (Findings), 2023)

Boosting Causal Discovery via Adaptive Sample Reweighting. - An Zhang 003; Fangfu Liu; Wenchang Ma; Zhibo Cai; Xiang Wang 010; Tat-Seng Chua (ICLR, 2023)

Discovering Dynamic Causal Space for DAG Structure Learning. - Fangfu Liu; Wenchang Ma; An Zhang 003; Xiang Wang 010; Yueqi Duan; Tat-Seng Chua (KDD, 2023)

Redundancy-aware Transformer for Video Question Answering. - Yicong Li 004; Xun Yang 001; An Zhang 003; Chun Feng; Xiang Wang 010; Tat-Seng Chua (ACM Multimedia, 2023)

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. - Wei Ji 008; Xiangyan Liu; An Zhang 003; Yinwei Wei; Yongxin Ni; Xiang Wang 010 (ACM Multimedia, 2023)

Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis. - Junfeng Fang; Wei Liu 005; Yuan Gao 020; Zemin Liu; An Zhang 003; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2023)

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. - Zhiyuan Liu 001; Yaorui Shi; An Zhang 003; Enzhi Zhang; Kenji Kawaguchi; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2023)

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. - An Zhang 003; Leheng Sheng; Zhibo Cai; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2023)

Cooperative Explanations of Graph Neural Networks. - Junfeng Fang; Xiang Wang 010; An Zhang 003; Zemin Liu; Xiangnan He 001; Tat-Seng Chua (WSDM, 2023)

Invariant Collaborative Filtering to Popularity Distribution Shift. - An Zhang 003; Jingnan Zheng; Xiang Wang 010; Yancheng Yuan; Tat-Seng Chua (WWW, 2023)

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. - An Zhang 003; Fangfu Liu; Wenchang Ma; Zhibo Cai; Xiang Wang 010; Tat-Seng Chua (CoRR, 2023)

On Generative Agents in Recommendation. - An Zhang 003; Leheng Sheng; Yuxin Chen; Hao Li; Yang Deng 002; Xiang Wang 010; Tat-Seng Chua (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)

Towards Goal-oriented Intelligent Tutoring Systems in Online Education. - Yang Deng 002; Zifeng Ren; An Zhang 003; Wenqiang Lei; Tat-Seng Chua (CoRR, 2023)

Reinforced Causal Explainer for Graph Neural Networks. - Xiang Wang 010; Yingxin Wu 002; An Zhang 003; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. - Zhiyuan Liu 001; Yaorui Shi; An Zhang 003; Sihang Li 002; Enzhi Zhang; Xiang Wang 010; Kenji Kawaguchi; Tat-Seng Chua (ACL (Findings), 2024)

ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. - Zhiyuan Liu 001; An Zhang 003; Hao Fei 001; Enzhi Zhang; Xiang Wang 010; Kenji Kawaguchi; Tat-Seng Chua (ACL (1), 2024)

Disentangling Masked Autoencoders for Unsupervised Domain Generalization. - An Zhang 003; Han Wang 019; Xiang Wang 010; Tat-Seng Chua (ECCV (70), 2024)

MaskDroid: Robust Android Malware Detection with Masked Graph Representations. - Jingnan Zheng; Jiahao Liu; An Zhang 003; Jun Zeng 006; Ziqi Yang; Zhenkai Liang; Tat-Seng Chua (ASE, 2024)

On Softmax Direct Preference Optimization for Recommendation. - Yuxin Chen; Junfei Tan; An Zhang 003; Zhengyi Yang 007; Leheng Sheng; Enzhi Zhang; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2024)

Towards Neuron Attributions in Multi-Modal Large Language Models. - Junfeng Fang; Zac Bi; Ruipeng Wang; Houcheng Jiang; Yuan Gao 020; Kun Wang 056; An Zhang 003; Jie Shi; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 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)

ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. - Jingnan Zheng; Han Wang 019; An Zhang 003; Tai D. Nguyen; Jun Sun 001; Tat-Seng Chua (NeurIPS, 2024)

Large Language Model Powered Agents for Information Retrieval. - An Zhang 003; Yang Deng 002; Yankai Lin; Xu Chen 017; Ji-Rong Wen; Tat-Seng Chua (SIGIR, 2024)

On Generative Agents in Recommendation. - An Zhang 003; Yuxin Chen; Leheng Sheng; Xiang Wang 010; Tat-Seng Chua (SIGIR, 2024)

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. - An Zhang 003; Wenchang Ma; Pengbo Wei; Leheng Sheng; Xiang Wang 010 (WWW, 2024)

Large Language Model Powered Agents in the Web. - Yang Deng 002; An Zhang 003; Yankai Lin; Xu Chen 017; Ji-Rong Wen; Tat-Seng Chua (WWW (Companion Volume), 2024)

TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. - Jingrui He; Jian Kang 008; Fatemeh Nargesian; Haohui Wang; An Zhang 003; Dawei Zhou 003 (WWW (Companion Volume), 2024)

Language Models Encode Collaborative Signals in Recommendation. - Leheng Sheng; An Zhang 003; Yi Zhang; Yuxin Chen; Xiang Wang 010; Tat-Seng Chua (CoRR, 2024)

MASKDROID: Robust Android Malware Detection with Masked Graph Representations. - Jingnan Zheng; Jiaohao Liu; An Zhang 003; Jun Zeng 006; Ziqi Yang; Zhenkai Liang; Tat-Seng Chua (CoRR, 2024)

One-step Noisy Label Mitigation. - Hao Li; Jiayang Gu; Jingkuan Song; An Zhang 003; Lianli Gao (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)

Neuron-Level Sequential Editing for Large Language Models. - Houcheng Jiang; Junfeng Fang; Tianyu Zhang; An Zhang 003; Ruipeng Wang; Tao Liang; Xiang Wang 010 (CoRR, 2024)

Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation. - Guoqing Hu; Zhengyi Yang 007; Zhibo Cai; An Zhang 003; 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)

Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models. - Chenhang Cui; Gelei Deng; An Zhang 003; Jingnan Zheng; Yicong Li 004; Lianli Gao; Tianwei Zhang 004; Tat-Seng Chua (CoRR, 2024)

Robust Collaborative Filtering to Popularity Distribution Shift. - An Zhang 003; Wenchang Ma; Jingnan Zheng; Xiang Wang 010; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)

Neuron-Level Sequential Editing for Large Language Models. - Houcheng Jiang; Junfeng Fang; Tianyu Zhang; Baolong Bi; An Zhang 003; Ruipeng Wang; Tao Liang; Xiang Wang 010 (ACL (1), 2025)

Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. - Weixiang Zhao; Yulin Hu; Yang Deng 002; Jiahe Guo; Xingyu Sui; Xinyang Han; An Zhang 003; Yanyan Zhao; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (ACL (1), 2025)

MPO: Multilingual Safety Alignment via Reward Gap Optimization. - Weixiang Zhao; Yulin Hu; Yang Deng 002; Tongtong Wu; Wenxuan Zhang 001; Jiahe Guo; An Zhang 003; Yanyan Zhao; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (ACL (1), 2025)

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment. - Chenhang Cui; An Zhang 003; Yiyang Zhou; Zhaorun Chen; Gelei Deng; Huaxiu Yao; Tat-Seng Chua (ICLR, 2025)

Preference Diffusion for Recommendation. - Shuo Liu 017; An Zhang 003; Guoqing Hu; Hong Qian; Tat-Seng Chua (ICLR, 2025)

Language Representations Can be What Recommenders Need: Findings and Potentials. - Leheng Sheng; An Zhang 003; Yi Zhang; Yuxin Chen; Xiang Wang 010; Tat-Seng Chua (ICLR, 2025)

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. - Hao Li; Chenghao Yang; An Zhang 003; Yang Deng 002; Xiang Wang 010; Tat-Seng Chua (NAACL (Long Papers), 2025)

AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings. - Guoqing Hu; An Zhang 003; Shuo Liu 017; Zhibo Cai; Xun Yang 001; Xiang Wang 010 (SIGIR, 2025)

Generative Recommendation Models: Progress and Directions. - Yupeng Hou; An Zhang 003; Leheng Sheng; Zhengyi Yang 007; Xiang Wang 010; Tat-Seng Chua; Julian J. McAuley (WWW (Companion Volume), 2025)

Personalized Recommendation Agents with Self-Consistency. - Zijing Wu; Leheng Sheng; Yuanlin Xia; Yi Zhang; Yuxin Chen; An Zhang 003 (WWW (Companion Volume), 2025)

Self-attentive Rationalization for Interpretable Graph Contrastive Learning. - Sihang Li 002; Yanchen Luo; An Zhang 003; Xiang Wang 010; Longfei Li; Jun Zhou 011; Tat-Seng Chua (ACM Trans. Knowl. Discov. Data, 2025)

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models. - Junfeng Fang; Yukai Wang; Ruipeng Wang; Zijun Yao 005; Kun Wang 056; An Zhang 003; Xiang Wang 010; Tat-Seng Chua (CoRR, 2025)

AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. - Weixiang Zhao; Jiahe Guo; Yulin Hu; Yang Deng 002; An Zhang 003; Xingyu Sui; Xinyang Han; Yanyan Zhao; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (CoRR, 2025)

Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs. - Yaorui Shi; Sihang Li 002; Chang Wu 003; Zhiyuan Liu 001; Junfeng Fang; Hengxing Cai; An Zhang 003; Xiang Wang 010 (CoRR, 2025)

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint. - Leheng Sheng; Changshuo Shen; Weixiang Zhao; Junfeng Fang; Xiaohao Liu; Zhenkai Liang; Xiang Wang 010; An Zhang 003; Tat-Seng Chua (CoRR, 2025)

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 003; Tat-Seng Chua (CoRR, 2025)

On Reasoning Strength Planning in Large Reasoning Models. - Leheng Sheng; An Zhang 003; Zijian Wu 003; Weixiang Zhao; Changshuo Shen; Yi Zhang; Xiang Wang 010; Tat-Seng Chua (CoRR, 2025)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language. - Yuxin Chen; Yiran Zhao 006; Yang Zhang; An Zhang 003; Kenji Kawaguchi; Shafiq Joty; Junnan Li 001; Tat-Seng Chua; Michael Qizhe Shieh; Wenxuan Zhang 001 (CoRR, 2025)

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation. - Yingzhi He; Xiaohao Liu; An Zhang 003; Yunshan Ma; Tat-Seng Chua (CoRR, 2025)

AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning. - Yi Zhang; An Zhang 003; XiuYu Zhang; Leheng Sheng; Yuxin Chen; Zhenkai Liang; Xiang Wang 010 (CoRR, 2025)

SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication. - Ruijia Zhang; Xinyan Zhao; Ruixiang Wang; Sigen Chen; Guibin Zhang; An Zhang 003; Kun Wang 056; Qingsong Wen (CoRR, 2025)