On Hermitian and skew-Hermitian splitting iteration methods for the linear matrix equation AXB=C. - Xiang Wang 010; Yan Li 068; Lin Dai (Comput. Math. Appl., 2013)

Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model. - Jingyuan Chen; Xuemeng Song; Liqiang Nie; Xiang Wang 010; Hanwang Zhang; Tat-Seng Chua (ACM Multimedia, 2016)

Shorter-is-Better: Venue Category Estimation from Micro-Video. - Jianglong Zhang; Liqiang Nie; Xiang Wang 010; Xiangnan He 001; Xianglin Huang; Tat-Seng Chua (ACM Multimedia, 2016)

Enhancing Micro-video Understanding by Harnessing External Sounds. - Liqiang Nie; Xiang Wang 010; Jianglong Zhang; Xiangnan He 001; Hanwang Zhang; Richang Hong; Qi Tian 001 (ACM Multimedia, 2017)

Computational Social Indicators: A Case Study of Chinese University Ranking. - Fuli Feng; Liqiang Nie; Xiang Wang 010; Richang Hong; Tat-Seng Chua (SIGIR, 2017)

Item Silk Road: Recommending Items from Information Domains to Social Users. - Xiang Wang 010; Xiangnan He 001; Liqiang Nie; Tat-Seng Chua (SIGIR, 2017)

Data-Driven Answer Selection in Community QA Systems. - Liqiang Nie; Xiaochi Wei; Dongxiang Zhang; Xiang Wang 010; Zhipeng Gao 002; Yi Yang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency. - Xiang Wang 010; Liqiang Nie; Xuemeng Song; Dongxiang Zhang; Tat-Seng Chua (ACM Trans. Inf. Syst., 2017)

Outer Product-based Neural Collaborative Filtering. - Xiangnan He 001; Xiaoyu Du 002; Xiang Wang 010; Feng Tian; Jinhui Tang 001; Tat-Seng Chua (IJCAI, 2018)

Cross-modal Moment Localization in Videos. - Meng Liu 006; Xiang Wang 010; Liqiang Nie; Qi Tian 001; Baoquan Chen; Tat-Seng Chua (ACM Multimedia, 2018)

Attentive Moment Retrieval in Videos. - Meng Liu 006; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Baoquan Chen; Tat-Seng Chua (SIGIR, 2018)

A Personal Privacy Preserving Framework: I Let You Know Who Can See What. - Xuemeng Song; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Zhumin Chen; Wei Liu 005 (SIGIR, 2018)

TEM: Tree-enhanced Embedding Model for Explainable Recommendation. - Xiang Wang 010; Xiangnan He 001; Fuli Feng; Liqiang Nie; Tat-Seng Chua (WWW, 2018)

Explainable Reasoning over Knowledge Graphs for Recommendation. - Xiang Wang 010; Dingxian Wang; Canran Xu; Xiangnan He 001; Yixin Cao 002; Tat-Seng Chua (AAAI, 2019)

Learning and Reasoning on Graph for Recommendation. - Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (CIKM, 2019)

KGAT: Knowledge Graph Attention Network for Recommendation. - Xiang Wang 010; Xiangnan He 001; Yixin Cao 002; Meng Liu 006; Tat-Seng Chua (KDD, 2019)

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Richang Hong; Tat-Seng Chua (ACM Multimedia, 2019)

Neural Graph Collaborative Filtering. - Xiang Wang 010; Xiangnan He 001; Meng Wang 001; Fuli Feng; Tat-Seng Chua (SIGIR, 2019)

Interpretable Fashion Matching with Rich Attributes. - Xun Yang 001; Xiangnan He 001; Xiang Wang 010; Yunshan Ma; Fuli Feng; Meng Wang 001; Tat-Seng Chua (SIGIR, 2019)

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. - Yixin Cao 002; Xiang Wang 010; Xiangnan He 001; Zikun Hu; Tat-Seng Chua (WWW, 2019)

Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning. - Meng Liu 006; Liqiang Nie; Xiang Wang 010; Qi Tian 001; Baoquan Chen (IEEE Trans. Image Process., 2019)

Temporal Relational Ranking for Stock Prediction. - Fuli Feng; Xiangnan He 001; Xiang Wang 010; Cheng Luo 001; Yiqun Liu 001; Tat-Seng Chua (ACM Trans. Inf. Syst., 2019)

Deep Item-based Collaborative Filtering for Top-N Recommendation. - Feng Xue 002; Xiangnan He 001; Xiang Wang 010; Jiandong Xu; Kai Liu; Richang Hong (ACM Trans. Inf. Syst., 2019)

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. - Jingjing Chen 001; Liangming Pan; Zhipeng Wei; Xiang Wang 010; Chong-Wah Ngo; Tat-Seng Chua (AAAI, 2020)

Bilinear Graph Neural Network with Neighbor Interactions. - Hongmin Zhu; Fuli Feng; Xiangnan He 001; Xiang Wang 010; Yan Li 068; Kai Zheng 001; Yongdong Zhang 001 (IJCAI, 2020)

Interactive Path Reasoning on Graph for Conversational Recommendation. - Wenqiang Lei; Gangyi Zhang; Xiangnan He 001; Yisong Miao; Xiang Wang 010; Liang Chen 001; Tat-Seng Chua (KDD, 2020)

How to Learn Item Representation for Cold-Start Multimedia Recommendation? - Xiaoyu Du 002; Xiang Wang 010; Xiangnan He 001; Zechao Li; Jinhui Tang 001; Tat-Seng Chua (ACM Multimedia, 2020)

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (ACM Multimedia, 2020)

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. - Xiangnan He 001; Kuan Deng; Xiang Wang 010; Yan Li 068; Yong-Dong Zhang 001; Meng Wang 001 (SIGIR, 2020)

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. - Xingchen Li; Xiang Wang 010; Xiangnan He 001; Long Chen 016; Jun Xiao 001; Tat-Seng Chua (SIGIR, 2020)

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

Reinforced Negative Sampling over Knowledge Graph for Recommendation. - Xiang Wang 010; Yaokun Xu; Xiangnan He 001; Yixin Cao 002; Meng Wang 001; Tat-Seng Chua (WWW, 2020)

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)

Bilinear Graph Neural Network with Node Interactions. - Hongmin Zhu; Fuli Feng; Xiangnan He 001; Xiang Wang 010; Yan Li 068; Kai Zheng 001; Yongdong Zhang 001 (CoRR, 2020)

HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. - Zhulin Tao; Xiang Wang 010; Xiangnan He 001; Xianglin Huang; Tat-Seng Chua (Inf. Process. Manag., 2020)

MGAT: Multimodal Graph Attention Network for Recommendation. - Zhulin Tao; Yinwei Wei; Xiang Wang 010; Xiangnan He 001; Xianglin Huang; Tat-Seng Chua (Inf. Process. Manag., 2020)

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. - Yinwei Wei; Xiang Wang 010; Weili Guan; Liqiang Nie; Zhouchen Lin; Baoquan Chen (IEEE Trans. Image Process., 2020)

Visual Boundary Knowledge Translation for Foreground Segmentation. - Zunlei Feng; Lechao Cheng; Xinchao Wang; Xiang Wang 010; Ya Jie Liu; Xiangtong Du; Mingli Song (AAAI, 2021)

Time horizon-aware modeling of financial texts for stock price prediction. - Fuli Feng; Xiang Wang 010; Xiangnan He 001; Ritchie Ng; Tat-Seng Chua (ICAIF, 2021)

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion. - Zhenguang Liu; Peng Qian; Xiang Wang 010; Lei Zhu 002; Qinming He; Shouling Ji (IJCAI, 2021)

Deconfounded Recommendation for Alleviating Bias Amplification. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Xiang Wang 010; Tat-Seng Chua (KDD, 2021)

Contrastive Learning for Cold-Start Recommendation. - Yinwei Wei; Xiang Wang 010; Qi Li; Liqiang Nie; Yan Li 068; Xuanping Li; Tat-Seng Chua (ACM Multimedia, 2021)

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)

Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. - Jiawei Chen 007; Xiang Wang 010; Fuli Feng; Xiangnan He 001 (RecSys, 2021)

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)

Learning Intents behind Interactions with Knowledge Graph for Recommendation. - Xiang Wang 010; Tinglin Huang; Dingxian Wang; Yancheng Yuan; Zhenguang Liu; Xiangnan He 001; Tat-Seng Chua (WWW, 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)

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. - Le Wu; Xiangnan He 001; Xiang Wang 010; Kun Zhang 015; Meng Wang 001 (CoRR, 2021)

Hierarchical User Intent Graph Network forMultimedia Recommendation. - Yinwei Wei; Xiang Wang 010; Xiangnan He 001; Liqiang Nie; Yong Rui; Tat-Seng Chua (CoRR, 2021)

GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (CoRR, 2021)

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

Self-Supervised Learning for Recommendation. - Chao Huang 001; Lianghao Xia; Xiang Wang 010; Xiangnan He 001; Dawei Yin (CIKM, 2022)

Invariant Grounding for Video Question Answering. - Yicong Li 004; Xiang Wang 010; Junbin Xiao; Wei Ji 008; Tat-Seng Chua (CVPR, 2022)

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation. - Zhenguang Liu; Runyang Feng; Haoming Chen; Shuang Wu 002; Yixing Gao; Yunjun Gao; Xiang Wang 010 (CVPR, 2022)

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

Spatial-Temporal Correlation Modeling for Motion Prediction. - Yingying Jiao; Haipeng Chen 002; Chang Yao; Pengxiang Su; Chong Fu; Xiang Wang 010 (ICME, 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)

Copy Motion From One to Another: Fake Motion Video Generation. - Zhenguang Liu; Sifan Wu 001; Chejian Xu; Xiang Wang 010; Lei Zhu 002; Shuang Wu 002; Fuli Feng (IJCAI, 2022)

TeLL: log level suggestions via modeling multi-level code block information. - Jiahao Liu; Jun Zeng 006; Xiang Wang 010; Kaihang Ji; Zhenkai Liang (ISSTA, 2022)

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

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)

Equivariant and Invariant Grounding for Video Question Answering. - Yicong Li 004; Xiang Wang 010; Junbin Xiao; Tat-Seng Chua (ACM Multimedia, 2022)

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

Self-Supervised Learning for Recommender System. - Chao Huang 001; Xiang Wang 010; Xiangnan He 001; Dawei Yin (SIGIR, 2022)

SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. - Jun Zeng 006; Xiang Wang 010; Jiahao Liu; Yinfang Chen; Zhenkai Liang; Tat-Seng Chua; Zheng Leong Chua (SP, 2022)

Graph Neural Networks for Recommender System. - Chen Gao 001; Xiang Wang 010; Xiangnan He 001; Yong Li 008 (WSDM, 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)

Training Free Graph Neural Networks for Graph Matching. - Zhiyuan Liu 001; Yixin Cao 002; Fuli Feng; Xiang Wang 010; Xindi Shang; Jie Tang 001; Kenji Kawaguchi; Tat-Seng Chua (CoRR, 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)

Rumor Detection with Self-supervised Learning on Texts and Social Graph. - Yuan Gao 015; Xiang Wang 010; Xiangnan He 001; Huamin Feng; Yongdong Zhang 001 (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)

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)

Exploring lottery ticket hypothesis in media recommender systems. - Yanfang Wang; Yongduo Sui; Xiang Wang 010; Zhenguang Liu; Xiangnan He 001 (Int. J. Intell. Syst., 2022)

Hierarchical User Intent Graph Network for Multimedia Recommendation. - Yinwei Wei; Xiang Wang 010; Xiangnan He 001; Liqiang Nie; Yong Rui; Tat-Seng Chua (IEEE Trans. Multim., 2022)

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. - Zhiyuan Liu 001; Sihang Li 002; Yanchen Luo; Hao Fei 001; Yixin Cao 002; Kenji Kawaguchi; Xiang Wang 010; Tat-Seng Chua (EMNLP, 2023)

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)

A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. - Ruihao Shui; Yixin Cao 002; Xiang Wang 010; Tat-Seng Chua (EMNLP (Findings), 2023)

Discovering Spatio-Temporal Rationales for Video Question Answering. - Yicong Li 004; Junbin Xiao; Chun Feng; Xiang Wang 010; Tat-Seng Chua (ICCV, 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)

Learning Graph-based Code Representations for Source-level Functional Similarity Detection. - Jiahao Liu; Jun Zeng 006; Xiang Wang 010; Zhenkai Liang (ICSE, 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)

Context-aware Event Forecasting via Graph Disentanglement. - Yunshan Ma; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; 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)

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)

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

LightGT: A Light Graph Transformer for Multimedia Recommendation. - Yinwei Wei; Wenqi Liu; Fan Liu 008; Xiang Wang 010; Liqiang Nie; Tat-Seng Chua (SIGIR, 2023)

Strategy-aware Bundle Recommender System. - Yinwei Wei; Xiaohao Liu; Yunshan Ma; Xiang Wang 010; Liqiang Nie; Tat-Seng Chua (SIGIR, 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)

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

Alleviating Structural Distribution Shift in Graph Anomaly Detection. - Yuan Gao 020; Xiang Wang 010; Xiangnan He 001; Zhenguang Liu; Huamin Feng; Yongdong Zhang 001 (WSDM, 2023)

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

Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum. - Yuan Gao 020; Xiang Wang 010; Xiangnan He 001; Zhenguang Liu; Huamin Feng; Yongdong Zhang 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)

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)

Heterophily-aware Social Bot Detection with Supervised Contrastive Learning. - Qi Wu 021; Yingguang Yang; Buyun He; Hao Liu; Xiang Wang 010; Yong Liao; Renyu Yang; Pengyuan Zhou (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)

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)

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)

On the Opportunities of Green Computing: A Survey. - You Zhou; Xiujing Lin; Xiang Zhang 001; Maolin Wang 001; Gangwei Jiang; Huakang Lu; Yupeng Wu; Kai Zhang 038; Zhe Yang; Kehang Wang; Yongduo Sui; Fengwei Jia; et al. (CoRR, 2023)

Structured, Complex and Time-complete Temporal Event Forecasting. - Yunshan Ma; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Liang Pang; Tat-Seng Chua (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)

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)

Self-Supervised Learning for Multimedia Recommendation. - Zhulin Tao; Xiaohao Liu; Yewei Xia; Xiang Wang 010; Lifang Yang; Xianglin Huang; Tat-Seng Chua (IEEE Trans. Multim., 2023)

Bias and Debias in Recommender System: A Survey and Future Directions. - Jiawei Chen 007; Hande Dong; Xiang Wang 010; Fuli Feng; Meng Wang 001; Xiangnan He 001 (ACM Trans. Inf. Syst., 2023)

User Perception of Recommendation Explanation: Are Your Explanations What Users Need? - Hongyu Lu; Weizhi Ma; Yifan Wang 017; Min Zhang 006; Xiang Wang 010; Yiqun Liu 001; Tat-Seng Chua; Shaoping Ma (ACM Trans. Inf. Syst., 2023)

Time-aware Path Reasoning on Knowledge Graph for Recommendation. - Yuyue Zhao; Xiang Wang 010; Jiawei Chen 007; Yashen Wang; Wei Tang 015; Xiangnan He 001; Haiyong Xie 001 (ACM Trans. Inf. Syst., 2023)

A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. - Le Wu; Xiangnan He 001; Xiang Wang 010; Kun Zhang 015; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Rumor detection with self-supervised learning on texts and social graph. - Yuan Gao 020; Xiang Wang 010; Xiangnan He 001; Huamin Feng; Yong-Dong Zhang 001 (Frontiers Comput. Sci., 2023)

Causal Inference for Knowledge Graph Based Recommendation. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Shaoyu Li; Dingxian Wang; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2023)

Text-to-Image Generation for Abstract Concepts. - Jiayi Liao; Xu Chen 022; Qiang Fu 015; Lun Du; Xiangnan He 001; Xiang Wang 010; Shi Han; Dongmei Zhang 001 (AAAI, 2024)

MolTC: Towards Molecular Relational Modeling In Language Models. - Junfeng Fang; Shuai Zhang; Chang Wu 003; Zhengyi Yang 007; Zhiyuan Liu 001; Sihang Li 002; Kun Wang 056; Wenjie Du 003; Xiang Wang 010 (ACL (Findings), 2024)

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)

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)

LASO: Language-Guided Affordance Segmentation on 3D Object. - Yicong Li 004; Na Zhao 004; Junbin Xiao; Chun Feng; Xiang Wang 010; Tat-Seng Chua (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 010; Xiangnan He 001; Qi Tian 001 (CVPR, 2024)

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

Towards 3D Molecule-Text Interpretation in Language Models. - Sihang Li 002; Zhiyuan Liu 001; Yanchen Luo; Xiang Wang 010; Xiangnan He 001; Kenji Kawaguchi; Tat-Seng Chua; Qi Tian 001 (ICLR, 2024)

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. - Kexin Huang; Ziqian Chen; Xue Wang 010; Chongming Gao; Jinyang Gao; Bolin Ding; Xiang Wang 010 (ICML, 2024)

Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. - Buyun He; Yingguang Yang; Qi Wu 021; Hao Liu; Renyu Yang; Hao Peng 001; Xiang Wang 010; Yong Liao; Pengyuan Zhou (IJCAI, 2024)

CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. - Yunshan Ma; Yingzhi He; Wenjun Zhong; Xiang Wang 010; Roger Zimmermann; Tat-Seng Chua (ACM Multimedia, 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)

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)

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

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)

Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. - Yunshan Ma; Xiaohao Liu; Yinwei Wei; Zhulin Tao; Xiang Wang 010; Tat-Seng Chua (WSDM, 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)

EXGC: Bridging Efficiency and Explainability in Graph Condensation. - Junfeng Fang; Xinglin Li; Yongduo Sui; Yuan Gao 020; Guibin Zhang; Kun Wang 056; Xiang Wang 010; Xiangnan He 001 (WWW, 2024)

Graph Anomaly Detection with Bi-level Optimization. - Yuan Gao 020; Junfeng Fang; Yongduo Sui; Yangyang Li; Xiang Wang 010; Huamin Feng; Yongdong Zhang 001 (WWW, 2024)

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. - Chen Gao 001; Fengli Xu; Xu Chen 017; Xiang Wang 010; Xiangnan He 001; Yong Li 008 (WWW (Companion Volume), 2024)

Invariant Graph Learning for Causal Effect Estimation. - Yongduo Sui; Caizhi Tang; Zhixuan Chu; Junfeng Fang; Yuan Gao 020; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010 (WWW, 2024)

Alleviating Structural Distribution Shift in Graph Anomaly Detection. - Yuan Gao 015; Xiang Wang 010; Xiangnan He 001; Zhenguang Liu; Huamin Feng; Yongdong Zhang 001 (CoRR, 2024)

EXGC: Bridging Efficiency and Explainability in Graph Condensation. - Junfeng Fang; Xinglin Li; Yongduo Sui; Yuan Gao 015; Guibin Zhang; Kun Wang 056; Xiang Wang 010; Xiangnan He 001 (CoRR, 2024)

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. - Yuan Gao 020; Haokun Chen; Xiang Wang 010; Zhicai Wang; Xue Wang 010; Jinyang Gao; Bolin Ding (CoRR, 2024)

BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. - Buyun He; Yingguang Yang; Qi Wu 021; Hao Liu; Renyu Yang; Hao Peng 001; Xiang Wang 010; Yong Liao; Pengyuan Zhou (CoRR, 2024)

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning. - Chengpeng Li 001; Guanting Dong; Mingfeng Xue; Ru Peng; Xiang Wang 010; Dayiheng Liu (CoRR, 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)

Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. - Jinda Lu; Shuo Wang 008; Yanbin Hao; Haifeng Liu; Xiang Wang 010; Meng Wang 001 (CoRR, 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)

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. - Junfeng Fang; Houcheng Jiang; Kun Wang 042; Yunshan Ma; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (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)

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)

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)

Intelligent System for Automated Molecular Patent Infringement Assessment. - Yaorui Shi; Sihang Li 002; Taiyan Zhang; Xi Fang; Jiankun Wang 011; Zhiyuan Liu 001; Guojiang Zhao; Zhengdan Zhu; Zhifeng Gao; Renxin Zhong; Linfeng Zhang 002; Guolin Ke; et al. (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)

Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling. - Jingru Duan; Yanbin Hao; Bin Zhu 006; Lechao Cheng; Pengyuan Zhou; Xiang Wang 010 (IEEE Trans. Multim., 2024)

Learning to Double-Check Model Prediction From a Causal Perspective. - Xun Deng; Fuli Feng; Xiang Wang 010; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (IEEE Trans. Neural Networks Learn. Syst., 2024)

Rule-Guided Counterfactual Explainable Recommendation. - Yinwei Wei; Xiaoyang Qu; Xiang Wang 010; Yunshan Ma; Liqiang Nie; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 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)

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)

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. - Yunshan Ma; Yingzhi He; Xiang Wang 010; Yinwei Wei; Xiaoyu Du 002; Yuyangzi Fu; Tat-Seng Chua (ACM Trans. Inf. Syst., 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)

Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection. - Yuan Gao 020; Jinghan Li; Xiang Wang 010; Xiangnan He 001; Huamin Feng; Yongdong Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Inductive Lottery Ticket Learning for Graph Neural Networks. - Yongduo Sui; Xiang Wang 010; Tianlong Chen 001; Meng Wang 001; Xiangnan He 001; Tat-Seng Chua (J. Comput. Sci. Technol., 2024)

Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval. - Ming Jin 007; Wenbo Hu 001; Lei Zhu 002; Xiang Wang 010; Richang Hong (IEEE Trans. Circuits Syst. Video Technol., 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)

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)

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 010; Xiangnan He 001 (CVPR, 2025)

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. - Sihang Li 002; Jin Huang; Jiaxi Zhuang; Yaorui Shi; Xiaochen Cai; Mingjun Xu; Xiang Wang 010; Linfeng Zhang 002; Guolin Ke; Hengxing Cai (ICLR, 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)

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. - Junfeng Fang; Houcheng Jiang; Kun Wang 056; Yunshan Ma; Jie Shi; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (ICLR, 2025)

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. - Jinghan Li; Yuan Gao; Jinda Lu; Junfeng Fang; Congcong Wen; Hui Lin; Xiang Wang 010 (ICLR, 2025)

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. - Zhiyuan Liu 001; Yanchen Luo; Han Huang; Enzhi Zhang; Sihang Li 002; Junfeng Fang; Yaorui Shi; Xiang Wang 010; Kenji Kawaguchi; 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)

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)

A Unified Invariant Learning Framework for Graph Classification. - Yongduo Sui; Jie Sun 030; Shuyao Wang; Zemin Liu; Qing Cui; Longfei Li; Xiang Wang 010 (KDD (1), 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)

Multi-Grained Patch Training for Efficient LLM-based Recommendation. - Jiayi Liao; Ruobing Xie; Sihang Li 002; Xiang Wang 010; Xingwu Sun; Zhanhui Kang; Xiangnan He 001 (SIGIR, 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)

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)

Explainable and Efficient Editing for Large Language Models. - Tianyu Zhang; Junfeng Fang; Houcheng Jiang; Baolong Bi; Xiang Wang 010; Xiangnan He 001 (WWW, 2025)

CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusion. - Yuan Wang; Bin Xhu; Yanbin Hao; Chong-Wah Ngo; Yi Tan; Xiang Wang 010 (CoRR, 2025)

PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation. - Jiayi Liao; Ruobing Xie; Sihang Li 002; Xiang Wang 010; Xingwu Sun; Zhanhui Kang; Xiangnan He 001 (CoRR, 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)

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. - Jinda Lu; Junkang Wu; Jinghan Li; Xiaojun Jia; Shuo Wang 008; Yifan Zhang 004; Junfeng Fang; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Multi-agent Architecture Search via Agentic Supernet. - Guibin Zhang; Luyang Niu; Junfeng Fang; Kun Wang 056; Lei Bai 001; Xiang Wang 010 (CoRR, 2025)

AnyEdit: Edit Any Knowledge Encoded in Language Models. - Houcheng Jiang; Junfeng Fang; Ningyu Zhang 001; Guojun Ma; Mingyang Wan; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (CoRR, 2025)

Reinforced Lifelong Editing for Language Models. - Zherui Li 001; Houcheng Jiang; Hao Chen; Baolong Bi; Zhenhong Zhou; Fei Sun; Junfeng Fang; Xiang Wang 010 (CoRR, 2025)

Prior Preserved Text-to-Image Personalization Without Image Regularization. - Zhicai Wang; Ouxiang Li; Tan Wang; Longhui Wei; Yanbin Hao; Xiang Wang 010; Qi Tian 001 (IEEE Trans. Circuits Syst. Video Technol., 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)

A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance. - Yongduo Sui; Shuyao Wang; Jie Sun 030; Zhiyuan Liu 010; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010; Xiangnan He 001 (ACM Trans. Knowl. Discov. Data, 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)

START: Self-taught Reasoner with Tools. - Chengpeng Li 001; Mingfeng Xue; Zhenru Zhang; Jiaxi Yang; Beichen Zhang; Xiang Wang 010; Bowen Yu 002; Binyuan Hui; Junyang Lin; Dayiheng Liu (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)

ACE: Concept Editing in Diffusion Models without Performance Degradation. - Ruipeng Wang; Junfeng Fang; Jiaqi Li; Hao Chen; Jie Shi; Kun Wang 056; Xiang Wang 010 (CoRR, 2025)

Route Sparse Autoencoder to Interpret Large Language Models. - Wei Shi; Sihang Li 002; Tao Liang; Mingyang Wan; Gojun Ma; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling. - Yanchen Luo; Zhiyuan Liu 001; Yi Zhao; Sihang Li 002; Kenji Kawaguchi; Tat-Seng Chua; Xiang Wang 010 (CoRR, 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)

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)

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)

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)

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)

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)

CoRT: Code-integrated Reasoning within Thinking. - Chengpeng Li 001; Zhengyang Tang; Ziniu Li; Mingfeng Xue; Keqin Bao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Xiang Wang 010; Junyang Lin; Dayiheng Liu (CoRR, 2025)

Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs. - Houcheng Jiang; Zetong Zhao; Junfeng Fang; Haokai Ma; Ruipeng Wang; Yang Deng 002; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems. - Junfeng Fang; Zijun Yao 005; Ruipeng Wang; Haokai Ma; Xiang Wang 010; Tat-Seng Chua (CoRR, 2025)

SAFER: Probing Safety in Reward Models with Sparse Autoencoder. - Sihang Li 002; Wei Shi; Ziyuan Xie; Tao Liang; Guojun Ma; Xiang Wang 010 (CoRR, 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)

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)

Interpretable Reward Model via Sparse Autoencoder. - Shuyi Zhang; Wei Shi; Sihang Li 002; Jiayi Liao; Tao Liang; Hengxing Cai; 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)