Xiang Wang - RankMe

363 papers A* 112A 12Journal 222Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. Int. J. Comput. Vis. Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He
2026	J	`jnl`	AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition. CoRR Ruipeng Wang, Yuxin Chen, Yukai Wang, Chang Wu, Junfeng Fang, Xiaodong Cai, Qi Gu, Hui Su, An Zhang, Xiang Wang, Xunliang Cai, Tat-Seng Chua
2026	J	`jnl`	Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Mingzhu Chen, Jiancan Wu, Kuien Liu, Xiang Wang
2026	J	`jnl`	Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Guoyin Wang, Jiancan Wu, Xiang Wang, Xiangnan He
2026	A*	`conf`	Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. AAAI Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang
2026	J	`jnl`	Collaborative Multi-Agent Optimization for Personalized Memory System. CoRR Wenyu Mao, Haoyang Liu, Zhao Liu, Haosong Tan, Yaorui Shi, Jiancan Wu, An Zhang, Xiang Wang
2026	J	`jnl`	Confidence Before Answering: A Paradigm Shift for Efficient LLM Uncertainty Estimation. CoRR Changcheng Li, Jiancan Wu, Hengheng Zhang, Zhengsu Chen, Guo An, Junxiang Qiu, Xiang Wang, Qi Tian
2026	J	`jnl`	CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusion. ACM Trans. Multim. Comput. Commun. Appl. Yuan Wang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Yi Tan, Xiang Wang
2026	A*	`conf`	Delayed Feedback Modeling with Influence Functions. AAAI Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich
2026	J	`jnl`	Do LLMs and VLMs Share Neurons for Inference? Evidence and Mechanisms of Cross-Modal Transfer. CoRR Chenhang Cui, An Zhang, Yuxin Chen, Gelei Deng, Jingnan Zheng, Zhenkai Liang, Xiang Wang, Tat-Seng Chua
2026	J	`jnl`	Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization. CoRR Jinghan Li, Junfeng Fang, Jinda Lu, Yuan Wang, Xiaoyan Guo, Tianyu Zhang, Xiang Wang, Xiangnan He
2026	J	`jnl`	Fine-grained Semantics Integration for Large Language Model-based Recommendation. CoRR Jiawei Feng, Xiaoyu Kong, Leheng Sheng, Bin Wu, Chao Yi, Feifang Yang, Xiang-Rong Sheng, Han Zhu, Xiang Wang, Jiancan Wu, Xiangnan He
2026	J	`jnl`	GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models. CoRR Xingyu Zhu, Beier Zhu, Junfeng Fang, Shuo Wang, Yin Zhang, Xiang Wang, Xiangnan He
2026	A*	`conf`	Interpretable Reward Model via Sparse Autoencoder. AAAI Shuyi Zhang, Wei Shi, Sihang Li, Jiayi Liao, Tao Liang, Hengxing Cai, Xiang Wang
2026	J	`jnl`	Invariant graph learning meets information bottleneck for out-of-distribution generalization. Frontiers Comput. Sci. Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang
2026	A*	`conf`	LPEdit: Locality-Preserving Knowledge Editing for MultiModal Large Language Models. WWW Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Xingyu Zhu, Xiang Wang, Xiangnan He
2026	J	`jnl`	Large Language Model Can Interpret Latent Space of Sequential Recommender. ACM Trans. Inf. Syst. Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He
2026	J	`jnl`	MM-AttacKG: A multimodal approach to attack graph construction with large language models. Knowl. Based Syst. Yongheng Zhang, Xinyun Zhao, Yunshan Ma, Haokai Ma, Yingxiao Guan, Guozheng Yang, Yuliang Lu, Xiang Wang
2026	J	`jnl`	MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning. CoRR Yaorui Shi, Shugui Liu, Yu Yang, Wenyu Mao, Yuxin Chen, Qi Gu, Hui Su, Xunliang Cai, Xiang Wang, An Zhang
2026	J	`jnl`	NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels. CoRR Junfeng Fang, Nachuan Chen, Houcheng Jiang, Dan Zhang, Fei Shen, Xiang Wang, Xiangnan He, Tat-Seng Chua
2026	J	`jnl`	On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation. CoRR 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
2026	A*	`conf`	RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors. WWW Miaomiao Cai, Zhijie Zhang, Junfeng Fang, Zhiyong Cheng, Xiang Wang, Meng Wang
2026	J	`jnl`	RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors. CoRR Miaomiao Cai, Zhijie Zhang, Junfeng Fang, Zhiyong Cheng, Xiang Wang, Meng Wang
2026	J	`jnl`	Reasoning over Semantic IDs Enhances Generative Recommendation. CoRR Yingzhi He, Yan Sun, Junfei Tan, Yuxin Chen, Xiaoyu Kong, Chunxu Shen, Xiang Wang, An Zhang, Tat-Seng Chua
2026	J	`jnl`	Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics. CoRR Leheng Sheng, Wenchang Ma, Ruixin Hong, Xiang Wang, An Zhang, Tat-Seng Chua
2026	A*	`conf`	Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input. AAAI Chenxu Li, Zhicai Wang, Yuan Sheng, Xingyu Zhu, Yanbin Hao, Xiang Wang
2026	J	`jnl`	Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment. CoRR Jingnan Zheng, Yanzhen Luo, Jingjun Xu, Bingnan Liu, Yuxin Chen, Chenhang Cui, Gelei Deng, Chaochao Lu, Xiang Wang, An Zhang, Tat-Seng Chua
2026	J	`jnl`	Self-Guard: Defending Large Reasoning Models via enhanced self-reflection. CoRR Jingnan Zheng, Jingjun Xu, Yanzhen Luo, Chenhang Cui, Gelei Deng, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua
2026	J	`jnl`	Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model. CoRR Yuan Wang, Borui Liao, Huijuan Huang, Jinda Lu, Ouxiang Li, Kuien Liu, Meng Wang, Xiang Wang
2026	J	`jnl`	Transport and Merge: Cross-Architecture Merging for Large Language Models. CoRR Chenhang Cui, Binyun Yang, Fei Shen, Yuxin Chen, Jingnan Zheng, Xiang Wang, An Zhang, Tat-Seng Chua
2026	J	`jnl`	Understanding Multilingualism in Mixture-of-Experts LLMs: Routing Mechanism, Expert Specialization, and Layerwise Steering. CoRR Yuxin Chen, Zhengzhou Cai, Xiangtian Ji, Weixiang Zhao, An Zhang, Xiang Wang, Tat-Seng Chua
2026	J	`jnl`	When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning. CoRR Leheng Sheng, Yongtao Zhang, Wenchang Ma, Yaorui Shi, Ting Huang, Xiang Wang, An Zhang, Ke Shen, Tat-Seng Chua
2025	J	`jnl`	3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding. CoRR Chang Wu, Zhiyuan Liu, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang
2025	J	`jnl`	A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance. ACM Trans. Knowl. Discov. Data Yongduo Sui, Shuyao Wang, Jie Sun, Zhiyuan Liu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He
2025	—	`conf`	A Unified Invariant Learning Framework for Graph Classification. KDD (1) Yongduo Sui, Jie Sun, Shuyao Wang, Zemin Liu, Qing Cui, Longfei Li, Xiang Wang
2025	J	`jnl`	A Unified Invariant Learning Framework for Graph Classification. CoRR Yongduo Sui, Jie Sun, Shuyao Wang, Zemin Liu, Qing Cui, Longfei Li, Xiang Wang
2025	A*	`conf`	ACE: Concept Editing in Diffusion Models without Performance Degradation. ACM Multimedia Ruipeng Wang, Junfeng Fang, Jiaqi Li, Hao Chen, Jie Shi, Kun Wang, Xiang Wang
2025	J	`jnl`	ACE: Concept Editing in Diffusion Models without Performance Degradation. CoRR Ruipeng Wang, Junfeng Fang, Jiaqi Li, Hao Chen, Jie Shi, Kun Wang, Xiang Wang
2025	J	`jnl`	AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. CoRR Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He
2025	J	`jnl`	Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions. CoRR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Junfeng Fang, Cunchun Li, Xiang Wang, Xiangnan He
2025	A*	`conf`	Addressing Missing Data Issue for Diffusion-based Recommendation. SIGIR Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	J	`jnl`	Addressing Missing Data Issue for Diffusion-based Recommendation. CoRR Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	J	`jnl`	AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning. CoRR Yi Zhang, An Zhang, Xiuyu Zhang, Leheng Sheng, Yuxin Chen, Zhenkai Liang, Xiang Wang
2025	A*	`conf`	AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. ICML Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	A*	`conf`	AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. ICLR Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua
2025	A*	`conf`	AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings. SIGIR Guoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang
2025	J	`jnl`	AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings. CoRR Guoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang
2025	J	`jnl`	AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint. CoRR Leheng Sheng, Changshuo Shen, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua
2025	A*	`conf`	AnyEdit: Edit Any Knowledge Encoded in Language Models. ICML Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua
2025	J	`jnl`	AnyEdit: Edit Any Knowledge Encoded in Language Models. CoRR Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Guojun Ma, Mingyang Wan, Xiang Wang, Xiangnan He, Tat-Seng Chua
2025	J	`jnl`	AttacKG+: Boosting attack graph construction with Large Language Models. Comput. Secur. Yongheng Zhang, Tingwen Du, Yunshan Ma, Xiang Wang, Yi Xie, Guozheng Yang, Yuliang Lu, Ee-Chien Chang
2025	J	`jnl`	Attribute encoding transformer on unattributed dynamic graphs for anomaly detection. Int. J. Mach. Learn. Cybern. Shang Wang, Haihong Hao, Yuan Gao, Xiang Wang, Xiangnan He
2025	J	`jnl`	Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. CoRR Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang
2025	J	`jnl`	CoRT: Code-integrated Reasoning within Thinking. CoRR Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
2025	J	`jnl`	Contrastive Weak-to-strong Generalization. CoRR Houcheng Jiang, Junfeng Fang, Jiaxin Wu, Tianyu Zhang, Chen Gao, Yong Li, Xiang Wang, Xiangnan He, Yang Deng
2025	J	`jnl`	CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusion. CoRR Yuan Wang, Bin Xhu, Yanbin Hao, Chong-Wah Ngo, Yi Tan, Xiang Wang
2025	J	`jnl`	Counterfactual Tuning for Temporal Sensitivity Enhancement in Large Language Model-based Recommendation. CoRR Yutian Liu, Zhengyi Yang, Jiancan Wu, Xiang Wang
2025	A*	`conf`	DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. ICML Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He
2025	J	`jnl`	DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He
2025	J	`jnl`	Denoising Neural Reranker for Recommender Systems. CoRR Wenyu Mao, Shuchang Liu, Hailan Yang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang
2025	A*	`conf`	DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. ICLR Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang
2025	A*	`conf`	Explainable and Efficient Editing for Large Language Models. WWW Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He
2025	—	`conf`	FRAUDLLM: Zero-Shot Fraud Detection with Large Language Models. CCIR Mingyang An, Yuan Gao, Jinghan Li, Xiang Wang, Xiangnan He
2025	J	`jnl`	Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation. CoRR Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang
2025	—	`conf`	Generative Recommendation Models: Progress and Directions. WWW (Companion Volume) Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2025	—	`conf`	Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. NAACL (Long Papers) Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua
2025	A	`conf`	LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems. RecSys Yuyue Zhao, Jin Huang, Shuchang Liu, Jiancan Wu, Xiang Wang, Maarten de Rijke
2025	—	`conf`	LaMP-Val: Large Language Models Empower Personalized Valuation in Auction. EMNLP (Findings) Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang
2025	A*	`conf`	Language Representations Can be What Recommenders Need: Findings and Potentials. ICLR Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua
2025	J	`jnl`	Larger or Smaller Reward Margins to Select Preferences for Alignment? CoRR Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response. ICML Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang
2025	J	`jnl`	Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents. CoRR Yaorui Shi, Yuxin Chen, Siyuan Wang, Sihang Li, Hengxing Cai, Qi Gu, Xiang Wang, An Zhang
2025	J	`jnl`	MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering. CoRR Chenlu Ding, Jiancan Wu, Leheng Sheng, Fan Zhang, Yancheng Yuan, Xiang Wang, Xiangnan He
2025	J	`jnl`	MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models. CoRR Yongheng Zhang, Xinyun Zhao, Yunshan Ma, Haokai Ma, Yingxiao Guan, Guozheng Yang, Yuliang Lu, Xiang Wang
2025	J	`jnl`	MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation. CoRR Xiaoyu Kong, Leheng Sheng, Junfei Tan, Yuxin Chen, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
2025	J	`jnl`	Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs. CoRR Houcheng Jiang, Zetong Zhao, Junfeng Fang, Haokai Ma, Ruipeng Wang, Yang Deng, Xiang Wang, Xiangnan He
2025	A*	`conf`	Multi-Grained Patch Training for Efficient LLM-based Recommendation. SIGIR Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He
2025	A*	`conf`	Multi-agent Architecture Search via Agentic Supernet. ICML Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang
2025	J	`jnl`	Multi-agent Architecture Search via Agentic Supernet. CoRR Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang
2025	A*	`conf`	NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. ICLR Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2025	J	`jnl`	NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. CoRR Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2025	—	`conf`	Neuron-Level Sequential Editing for Large Language Models. ACL (1) Houcheng Jiang, Junfeng Fang, Tianyu Zhang, Baolong Bi, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang
2025	J	`jnl`	On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders. CoRR Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang
2025	J	`jnl`	On Negative-aware Preference Optimization for Recommendation. CoRR Chenlu Ding, Daoxuan Liu, Jiancan Wu, Xingyu Hu, Junkang Wu, Haitao Wang, Yongkang Wang, Xingxing Wang, Xiang Wang
2025	J	`jnl`	On Reasoning Strength Planning in Large Reasoning Models. CoRR Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, Yi Zhang, Xiang Wang, Tat-Seng Chua
2025	J	`jnl`	PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation. CoRR Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He
2025	—	`conf`	Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning. ACL (1) Zijian Shao, Jiancan Wu, Weijian Chen, Xiang Wang
2025	J	`jnl`	Position-aware Graph Transformer for Recommendation. ACM Trans. Inf. Syst. Jiajia Chen, Jiancan Wu, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang
2025	A*	`conf`	Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters. CVPR Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He
2025	J	`jnl`	Prior Preserved Text-to-Image Personalization Without Image Regularization. IEEE Trans. Circuits Syst. Video Technol. Zhicai Wang, Ouxiang Li, Tan Wang, Longhui Wei, Yanbin Hao, Xiang Wang, Qi Tian
2025	J	`jnl`	Quantile Advantage Estimation for Entropy-Safe Reasoning. CoRR Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
2025	J	`jnl`	RePO: ReLU-based Preference Optimization. CoRR Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Reinforced Lifelong Editing for Language Models. ICML Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang
2025	J	`jnl`	Reinforced Lifelong Editing for Language Models. CoRR Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang
2025	J	`jnl`	Reinforced Preference Optimization for Recommendation. CoRR Junfei Tan, Yuxin Chen, An Zhang, Junguang Jiang, Bin Liu, Ziru Xu, Zhu Han, Jian Xu, Bo Zheng, Xiang Wang
2025	J	`jnl`	Reinforced Prompt Personalization for Recommendation with Large Language Models. ACM Trans. Inf. Syst. Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He
2025	J	`jnl`	Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input. CoRR Chenxu Li, Zhicai Wang, Yuan Sheng, Xingyu Zhu, Yanbin Hao, Xiang Wang
2025	—	`conf`	Robust Preference Optimization via Dynamic Target Margins. ACL (Findings) Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025	J	`jnl`	Robust Preference Optimization via Dynamic Target Margins. CoRR Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025	A*	`conf`	Route Sparse Autoencoder to Interpret Large Language Models. EMNLP Wei Shi, Sihang Li, Tao Liang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He
2025	J	`jnl`	Route Sparse Autoencoder to Interpret Large Language Models. CoRR Wei Shi, Sihang Li, Tao Liang, Mingyang Wan, Gojun Ma, Xiang Wang, Xiangnan He
2025	A*	`conf`	START: Self-taught Reasoner with Tools. EMNLP Chengpeng Li, Mingfeng Xue, Zhenru Zhang, Jiaxi Yang, Beichen Zhang, Bowen Yu, Binyuan Hui, Junyang Lin, Xiang Wang, Dayiheng Liu
2025	J	`jnl`	START: Self-taught Reasoner with Tools. CoRR Chengpeng Li, Mingfeng Xue, Zhenru Zhang, Jiaxi Yang, Beichen Zhang, Xiang Wang, Bowen Yu, Binyuan Hui, Junyang Lin, Dayiheng Liu
2025	J	`jnl`	SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models. CoRR Junfeng Fang, Yukai Wang, Ruipeng Wang, Zijun Yao, Kun Wang, An Zhang, Xiang Wang, Tat-Seng Chua
2025	A*	`conf`	SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. ICLR Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai
2025	J	`jnl`	Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs. CoRR Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang
2025	J	`jnl`	Self-attentive Rationalization for Interpretable Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data Sihang Li, Yanchen Luo, An Zhang, Xiang Wang, Longfei Li, Jun Zhou, Tat-Seng Chua
2025	J	`jnl`	Teaching Language Models to Reason with Tools. CoRR Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
2025	J	`jnl`	Think before Recommendation: Autonomous Reasoning-enhanced Recommender. CoRR Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang
2025	A	`conf`	Towards Large Generative Recommendation: A Tokenization Perspective. CIKM Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2025	A*	`conf`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. ICLR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	J	`jnl`	Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling. CoRR Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Kenji Kawaguchi, Tat-Seng Chua, Xiang Wang
2025	J	`jnl`	Transformer-Empowered Invariant Grounding for Video Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua
2025	A*	`conf`	Unified Parameter-Efficient Unlearning for LLMs. ICLR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2025	J	`jnl`	We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems. CoRR Junfeng Fang, Zijun Yao, Ruipeng Wang, Haokai Ma, Xiang Wang, Tat-Seng Chua
2025	J	`jnl`	Website Owner Identification through Multi-level Contrastive Representation Learning. ACM Trans. Knowl. Discov. Data Cheng Tu, Yunshan Ma, Yang Li, Min Zhang, Miao Hu, Fan Shi, Xiang Wang
2025	J	`jnl`	bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs. CoRR Wence Ji, Jiancan Wu, Aiying Li, Shuyi Zhang, Junkang Wu, An Zhang, Xiang Wang, Xiangnan He
2024	J	`jnl`	Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. CoRR Chenlu Ding, Jiancan Wu, Wei Lin, Shiyang Shen, Xiang Wang, Yancheng Yuan
2024	J	`jnl`	Alleviating Structural Distribution Shift in Graph Anomaly Detection. CoRR Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
2024	J	`jnl`	AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. CoRR Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua
2024	J	`jnl`	AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models. CoRR Yongheng Zhang, Tingwen Du, Yunshan Ma, Xiang Wang, Yi Xie, Guozheng Yang, Yuliang Lu, Ee-Chien Chang
2024	A*	`conf`	Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. ICML Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang
2024	A*	`conf`	BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
2024	J	`jnl`	Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. Ming Jin, Wenbo Hu, Lei Zhu, Xiang Wang, Richang Hong
2024	J	`jnl`	BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. CoRR Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou
2024	A*	`conf`	CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. ACM Multimedia Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua
2024	J	`jnl`	CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. CoRR Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua
2024	A*	`conf`	Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. NeurIPS Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He
2024	J	`jnl`	Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. CoRR Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He
2024	J	`jnl`	DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. CoRR Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang
2024	J	`jnl`	DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding
2024	—	`conf`	Disentangling Masked Autoencoders for Unsupervised Domain Generalization. ECCV (70) An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	Disentangling Masked Autoencoders for Unsupervised Domain Generalization. CoRR An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning. CoRR Chengpeng Li, Guanting Dong, Mingfeng Xue, Ru Peng, Xiang Wang, Dayiheng Liu
2024	A*	`conf`	Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. IJCAI Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou
2024	A*	`conf`	EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
2024	J	`jnl`	EXGC: Bridging Efficiency and Explainability in Graph Condensation. CoRR Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
2024	J	`jnl`	Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling. IEEE Trans. Multim. Jingru Duan, Yanbin Hao, Bin Zhu, Lechao Cheng, Pengyuan Zhou, Xiang Wang
2024	A*	`conf`	Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model. CVPR Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian
2024	J	`jnl`	Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model. CoRR Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian
2024	J	`jnl`	Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
2024	A*	`conf`	General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. WWW An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang
2024	J	`jnl`	General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. CoRR An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang
2024	J	`jnl`	Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation. CoRR Guoqing Hu, Zhengyi Yang, Zhibo Cai, An Zhang, Xiang Wang
2024	A*	`conf`	Graph Anomaly Detection with Bi-level Optimization. WWW Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang
2024	J	`jnl`	Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. CoRR Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	Inductive Lottery Ticket Learning for Graph Neural Networks. J. Comput. Sci. Technol. Yongduo Sui, Xiang Wang, Tianlong Chen, Meng Wang, Xiangnan He, Tat-Seng Chua
2024	J	`jnl`	Intelligent System for Automated Molecular Patent Infringement Assessment. CoRR Yaorui Shi, Sihang Li, Taiyan Zhang, Xi Fang, Jiankun Wang, Zhiyuan Liu, Guojiang Zhao, Zhengdan Zhu, Zhifeng Gao, Renxin Zhong, Linfeng Zhang, Guolin Ke, Weinan E, Hengxing Cai, Xiang Wang
2024	J	`jnl`	Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang
2024	A*	`conf`	Invariant Graph Learning for Causal Effect Estimation. WWW Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang
2024	A*	`conf`	LASO: Language-Guided Affordance Segmentation on 3D Object. CVPR Yicong Li, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua
2024	A*	`conf`	LLaRA: Large Language-Recommendation Assistant. SIGIR Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He
2024	J	`jnl`	Language Models Encode Collaborative Signals in Recommendation. CoRR Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	Large Language Models Empower Personalized Valuation in Auction. CoRR Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Chi Luo, Junkang Wu, Jiancan Wu, An Zhang, Xiang Wang
2024	J	`jnl`	Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
2024	A*	`conf`	Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
2024	J	`jnl`	Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
2024	A	`conf`	Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. WSDM Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua
2024	A*	`conf`	Masked Graph Modeling with Multi- View Contrast. ICDE Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang
2024	—	`conf`	MolTC: Towards Molecular Relational Modeling In Language Models. ACL (Findings) Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang
2024	J	`jnl`	MolTC: Towards Molecular Relational Modeling In Language Models. CoRR Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang
2024	—	`conf`	MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou
2024	J	`jnl`	MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua
2024	J	`jnl`	Neuron-Level Sequential Editing for Large Language Models. CoRR Houcheng Jiang, Junfeng Fang, Tianyu Zhang, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang
2024	A*	`conf`	On Generative Agents in Recommendation. SIGIR An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua
2024	A*	`conf`	On Softmax Direct Preference Optimization for Recommendation. NeurIPS Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	On Softmax Direct Preference Optimization for Recommendation. CoRR Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	On the Effectiveness of Sampled Softmax Loss for Item Recommendation. ACM Trans. Inf. Syst. Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu
2024	J	`jnl`	Position-aware Graph Transformer for Recommendation. CoRR Jiajia Chen, Jiancan Wu, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang
2024	J	`jnl`	Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters. CoRR Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He
2024	—	`conf`	ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	J	`jnl`	ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	—	`conf`	ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	J	`jnl`	ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	J	`jnl`	Reinforced Prompt Personalization for Recommendation with Large Language Models. CoRR Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He
2024	J	`jnl`	Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. CoRR Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang
2024	J	`jnl`	Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. Yuan Gao, Jinghan Li, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang
2024	J	`jnl`	Robust Collaborative Filtering to Popularity Distribution Shift. ACM Trans. Inf. Syst. An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	RosePO: Aligning LLM-based Recommenders with Human Values. CoRR Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang
2024	J	`jnl`	Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua
2024	J	`jnl`	SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. CoRR Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai
2024	—	`conf`	Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li
2024	J	`jnl`	Text-guided Diffusion Model for 3D Molecule Generation. CoRR Yanchen Luo, Junfeng Fang, Sihang Li, Zhiyuan Liu, Jiancan Wu, An Zhang, Wenjie Du, Xiang Wang
2024	A*	`conf`	Text-to-Image Generation for Abstract Concepts. AAAI Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
2024	A*	`conf`	Towards 3D Molecule-Text Interpretation in Language Models. ICLR Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
2024	J	`jnl`	Towards 3D Molecule-Text Interpretation in Language Models. CoRR Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
2024	A*	`conf`	Towards Neuron Attributions in Multi-Modal Large Language Models. NeurIPS Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	Unified Parameter-Efficient Unlearning for LLMs. CoRR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2024	J	`jnl`	α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. CoRR Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	A*	`conf`	β-DPO: Direct Preference Optimization with Dynamic β. NeurIPS Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	β-DPO: Direct Preference Optimization with Dynamic β. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2023	—	`conf`	A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. EMNLP (Findings) Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. CoRR Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua
2023	A*	`conf`	A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang
2023	J	`jnl`	A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. IEEE Trans. Knowl. Data Eng. Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
2023	A*	`conf`	Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum. WWW Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
2023	A	`conf`	Alleviating Structural Distribution Shift in Graph Anomaly Detection. WSDM Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
2023	J	`jnl`	BSL: Understanding and Improving Softmax Loss for Recommendation. CoRR Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
2023	J	`jnl`	Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
2023	A*	`conf`	Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. CoRR An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua
2023	A*	`conf`	Context-aware Event Forecasting via Graph Disentanglement. KDD Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
2023	J	`jnl`	Context-aware Event Forecasting via Graph Disentanglement. CoRR Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
2023	A	`conf`	Cooperative Explanations of Graph Neural Networks. WSDM Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
2023	A*	`conf`	Discovering Dynamic Causal Space for DAG Structure Learning. KDD Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua
2023	J	`jnl`	Discovering Dynamic Causal Space for DAG Structure Learning. CoRR Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua
2023	A*	`conf`	Discovering Spatio-Temporal Rationales for Video Question Answering. ICCV Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Discovering Spatio-Temporal Rationales for Video Question Answering. CoRR Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua
2023	A*	`conf`	Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. NeurIPS An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. CoRR An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
2023	A*	`conf`	Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis. NeurIPS Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He
2023	A*	`conf`	GIF: A General Graph Unlearning Strategy via Influence Function. WWW Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
2023	J	`jnl`	GIF: A General Graph Unlearning Strategy via Influence Function. CoRR Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
2023	A*	`conf`	Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. NeurIPS Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
2023	J	`jnl`	Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. CoRR Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
2023	J	`jnl`	Heterophily-aware Social Bot Detection with Supervised Contrastive Learning. CoRR Qi Wu, Yingguang Yang, Buyun He, Hao Liu, Xiang Wang, Yong Liao, Renyu Yang, Pengyuan Zhou
2023	A*	`conf`	Invariant Collaborative Filtering to Popularity Distribution Shift. WWW An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua
2023	J	`jnl`	Invariant Collaborative Filtering to Popularity Distribution Shift. CoRR An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua
2023	J	`jnl`	LLaRA: Aligning Large Language Models with Sequential Recommenders. CoRR Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang
2023	J	`jnl`	Large Language Model Can Interpret Latent Space of Sequential Recommender. CoRR Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He
2023	A*	`conf`	Learning Graph-based Code Representations for Source-level Functional Similarity Detection. ICSE Jiahao Liu, Jun Zeng, Xiang Wang, Zhenkai Liang
2023	J	`jnl`	Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. CoRR Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua
2023	A*	`conf`	LightGT: A Light Graph Transformer for Multimedia Recommendation. SIGIR Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua
2023	J	`jnl`	Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang
2023	A*	`conf`	MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. CoRR Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. CoRR Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua
2023	J	`jnl`	On Generative Agents in Recommendation. CoRR An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	On the Opportunities of Green Computing: A Survey. CoRR You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
2023	A*	`conf`	Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. ACM Multimedia Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang
2023	J	`jnl`	Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. CoRR Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang
2023	J	`jnl`	Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. CoRR Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou
2023	—	`conf`	ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
2023	J	`jnl`	ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
2023	A*	`conf`	Redundancy-aware Transformer for Video Question Answering. ACM Multimedia Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Redundancy-aware Transformer for Video Question Answering. CoRR Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Reinforced Causal Explainer for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua
2023	A*	`conf`	Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Robust Collaborative Filtering to Popularity Distribution Shift. CoRR An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Rumor detection with self-supervised learning on texts and social graph. Frontiers Comput. Sci. Yuan Gao, Xiang Wang, Xiangnan He, Huamin Feng, Yong-Dong Zhang
2023	J	`jnl`	Self-Supervised Learning for Multimedia Recommendation. IEEE Trans. Multim. Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua
2023	A*	`conf`	Strategy-aware Bundle Recommender System. SIGIR Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua
2023	J	`jnl`	Structured, Complex and Time-complete Temporal Event Forecasting. CoRR Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua
2023	J	`jnl`	Text-to-Image Generation for Abstract Concepts. CoRR Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
2023	J	`jnl`	Time-aware Path Reasoning on Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie
2023	A*	`conf`	Understanding Contrastive Learning via Distributionally Robust Optimization. NeurIPS Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
2023	J	`jnl`	Understanding Contrastive Learning via Distributionally Robust Optimization. CoRR Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
2023	A*	`conf`	Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He
2023	J	`jnl`	User Perception of Recommendation Explanation: Are Your Explanations What Users Need? ACM Trans. Inf. Syst. Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma
2022	J	`jnl`	Adversarial Causal Augmentation for Graph Covariate Shift. CoRR Yongduo Sui, Xiang Wang, Jiancan Wu, An Zhang, Xiangnan He
2022	A*	`conf`	Causal Attention for Interpretable and Generalizable Graph Classification. KDD Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
2022	J	`jnl`	Causal Inference for Knowledge Graph based Recommendation. CoRR Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua
2022	A*	`conf`	Copy Motion From One to Another: Fake Motion Video Generation. IJCAI Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng
2022	J	`jnl`	Copy Motion From One to Another: Fake Motion Video Generation. CoRR Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng
2022	A*	`conf`	Cross Pairwise Ranking for Unbiased Item Recommendation. WWW Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022	J	`jnl`	Cross Pairwise Ranking for Unbiased Item Recommendation. CoRR Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022	A*	`conf`	CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. KDD Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
2022	J	`jnl`	CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. CoRR Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua
2022	J	`jnl`	Deconfounding to Explanation Evaluation in Graph Neural Networks. CoRR Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua
2022	J	`jnl`	Differentiable Invariant Causal Discovery. CoRR Yu Wang, An Zhang, Xiang Wang, Xiangnan He, Tat-Seng Chua
2022	A*	`conf`	Discovering Invariant Rationales for Graph Neural Networks. ICLR Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
2022	J	`jnl`	Discovering Invariant Rationales for Graph Neural Networks. CoRR Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
2022	A*	`conf`	Equivariant and Invariant Grounding for Video Question Answering. ACM Multimedia Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua
2022	J	`jnl`	Equivariant and Invariant Grounding for Video Question Answering. CoRR Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua
2022	J	`jnl`	Exploring lottery ticket hypothesis in media recommender systems. Int. J. Intell. Syst. Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He
2022	A	`conf`	Graph Neural Networks for Recommender System. WSDM Chen Gao, Xiang Wang, Xiangnan He, Yong Li
2022	J	`jnl`	Graph convolution machine for context-aware recommender system. Frontiers Comput. Sci. Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie
2022	J	`jnl`	Hierarchical User Intent Graph Network for Multimedia Recommendation. IEEE Trans. Multim. Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua
2022	A*	`conf`	Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. NeurIPS An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
2022	J	`jnl`	Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. CoRR An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
2022	A*	`conf`	Invariant Grounding for Video Question Answering. CVPR Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua
2022	J	`jnl`	Invariant Grounding for Video Question Answering. CoRR Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua
2022	A*	`conf`	Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. ICML Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua
2022	J	`jnl`	Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. CoRR Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua
2022	J	`jnl`	On the Effectiveness of Sampled Softmax Loss for Item Recommendation. CoRR Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu, Xiangnan He
2022	J	`jnl`	Reinforced Causal Explainer for Graph Neural Networks. CoRR Xiang Wang, Ying-Xin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua
2022	J	`jnl`	Rumor Detection with Self-supervised Learning on Texts and Social Graph. CoRR Yuan Gao, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang
2022	A*	`conf`	SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. SP Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua
2022	A	`conf`	Self-Supervised Learning for Recommendation. CIKM Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin
2022	A*	`conf`	Self-Supervised Learning for Recommender System. SIGIR Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin
2022	A	`conf`	Spatial-Temporal Correlation Modeling for Motion Prediction. ICME Yingying Jiao, Haipeng Chen, Chang Yao, Pengxiang Su, Chong Fu, Xiang Wang
2022	A	`conf`	TeLL: log level suggestions via modeling multi-level code block information. ISSTA Jiahao Liu, Jun Zeng, Xiang Wang, Kaihang Ji, Zhenkai Liang
2022	A*	`conf`	Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation. CVPR Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang
2022	J	`jnl`	Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation. CoRR Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang
2022	J	`jnl`	Training Free Graph Neural Networks for Graph Matching. CoRR Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua
2021	J	`jnl`	A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. CoRR Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
2021	J	`jnl`	A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. CoRR An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen
2021	A	`conf`	Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. RecSys Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He
2021	A*	`conf`	Contrastive Learning for Cold-Start Recommendation. ACM Multimedia Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua
2021	J	`jnl`	Contrastive Learning for Cold-Start Recommendation. CoRR Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua
2021	A*	`conf`	Deconfounded Recommendation for Alleviating Bias Amplification. KDD Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua
2021	J	`jnl`	Deconfounded Recommendation for Alleviating Bias Amplification. CoRR Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua
2021	J	`jnl`	Deconfounded Training for Graph Neural Networks. CoRR Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
2021	J	`jnl`	Exploring Lottery Ticket Hypothesis in Media Recommender Systems. CoRR Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He
2021	J	`jnl`	GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. CoRR Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua
2021	J	`jnl`	Hierarchical User Intent Graph Network forMultimedia Recommendation. CoRR Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua
2021	A*	`conf`	Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
2021	J	`jnl`	Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
2021	A*	`conf`	Self-supervised Graph Learning for Recommendation. SIGIR Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2021	A*	`conf`	Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion. IJCAI Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji
2021	J	`jnl`	Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion. CoRR Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji
2021	—	`conf`	Time horizon-aware modeling of financial texts for stock price prediction. ICAIF Fuli Feng, Xiang Wang, Xiangnan He, Ritchie Ng, Tat-Seng Chua
2021	J	`jnl`	Time-aware Path Reasoning on Knowledge Graph for Recommendation. CoRR Yuyue Zhao, Xiang Wang, Jiawei Chen, Wei Tang, Yashen Wang, Xiangnan He, Haiyong Xie
2021	A*	`conf`	Towards Multi-Grained Explainability for Graph Neural Networks. NeurIPS Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua
2021	A*	`conf`	Visual Boundary Knowledge Translation for Foreground Segmentation. AAAI Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song
2021	J	`jnl`	Visual Boundary Knowledge Translation for Foreground Segmentation. CoRR Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song
2020	J	`jnl`	Bias and Debias in Recommender System: A Survey and Future Directions. CoRR Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
2020	A*	`conf`	Bilinear Graph Neural Network with Neighbor Interactions. IJCAI Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang
2020	J	`jnl`	Bilinear Graph Neural Network with Node Interactions. CoRR Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang
2020	A*	`conf`	Disentangled Graph Collaborative Filtering. SIGIR Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
2020	J	`jnl`	Disentangled Graph Collaborative Filtering. CoRR Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
2020	J	`jnl`	Graph Convolution Machine for Context-aware Recommender System. CoRR Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang
2020	A*	`conf`	Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. ACM Multimedia Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua
2020	A*	`conf`	Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. SIGIR Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua
2020	J	`jnl`	Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. CoRR Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua
2020	J	`jnl`	HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. Inf. Process. Manag. Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua
2020	A*	`conf`	How to Learn Item Representation for Cold-Start Multimedia Recommendation? ACM Multimedia Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, Tat-Seng Chua
2020	A*	`conf`	Interactive Path Reasoning on Graph for Conversational Recommendation. KDD Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua
2020	J	`jnl`	Interactive Path Reasoning on Graph for Conversational Recommendation. CoRR Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua
2020	A	`conf`	Learning and Reasoning on Graph for Recommendation. WSDM Xiang Wang, Xiangnan He, Tat-Seng Chua
2020	A*	`conf`	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. SIGIR Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yong-Dong Zhang, Meng Wang
2020	J	`jnl`	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. CoRR Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang
2020	J	`jnl`	MGAT: Multimodal Graph Attention Network for Recommendation. Inf. Process. Manag. Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua
2020	J	`jnl`	Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. IEEE Trans. Image Process. Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen
2020	A*	`conf`	Reinforced Negative Sampling over Knowledge Graph for Recommendation. WWW Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua
2020	J	`jnl`	Reinforced Negative Sampling over Knowledge Graph for Recommendation. CoRR Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua
2020	J	`jnl`	Self-supervised Graph Learning for Recommendation. CoRR Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2020	A*	`conf`	Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. AAAI Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua
2019	J	`jnl`	Deep Item-based Collaborative Filtering for Top-N Recommendation. ACM Trans. Inf. Syst. Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong
2019	A*	`conf`	Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
2019	A*	`conf`	Interpretable Fashion Matching with Rich Attributes. SIGIR Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua
2019	A*	`conf`	KGAT: Knowledge Graph Attention Network for Recommendation. KDD Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua
2019	J	`jnl`	KGAT: Knowledge Graph Attention Network for Recommendation. CoRR Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua
2019	A	`conf`	Learning and Reasoning on Graph for Recommendation. CIKM Xiang Wang, Xiangnan He, Tat-Seng Chua
2019	A*	`conf`	MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. ACM Multimedia Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua
2019	A*	`conf`	Neural Graph Collaborative Filtering. SIGIR Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua
2019	J	`jnl`	Neural Graph Collaborative Filtering. CoRR Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua
2019	J	`jnl`	Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning. IEEE Trans. Image Process. Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, Baoquan Chen
2019	J	`jnl`	Temporal Relational Ranking for Stock Prediction. ACM Trans. Inf. Syst. Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua
2019	A*	`conf`	Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. WWW Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua
2019	J	`jnl`	Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. CoRR Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua
2018	A*	`conf`	A Personal Privacy Preserving Framework: I Let You Know Who Can See What. SIGIR Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu
2018	A*	`conf`	Attentive Moment Retrieval in Videos. SIGIR Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua
2018	A*	`conf`	Cross-modal Moment Localization in Videos. ACM Multimedia Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, Tat-Seng Chua
2018	J	`jnl`	Deep Item-based Collaborative Filtering for Top-N Recommendation. CoRR Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong
2018	J	`jnl`	Explainable Reasoning over Knowledge Graphs for Recommendation. CoRR Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
2018	A*	`conf`	Outer Product-based Neural Collaborative Filtering. IJCAI Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua
2018	J	`jnl`	Outer Product-based Neural Collaborative Filtering. CoRR Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua
2018	A*	`conf`	TEM: Tree-enhanced Embedding Model for Explainable Recommendation. WWW Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua
2018	J	`jnl`	Temporal Relational Ranking for Stock Prediction. CoRR Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua
2017	A*	`conf`	Computational Social Indicators: A Case Study of Chinese University Ranking. SIGIR Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua
2017	J	`jnl`	Data-Driven Answer Selection in Community QA Systems. IEEE Trans. Knowl. Data Eng. Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang
2017	A*	`conf`	Enhancing Micro-video Understanding by Harnessing External Sounds. ACM Multimedia Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian
2017	A*	`conf`	Item Silk Road: Recommending Items from Information Domains to Social Users. SIGIR Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua
2017	J	`jnl`	Item Silk Road: Recommending Items from Information Domains to Social Users. CoRR Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua
2017	J	`jnl`	Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency. ACM Trans. Inf. Syst. Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua
2016	A*	`conf`	Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model. ACM Multimedia Jingyuan Chen, Xuemeng Song, Liqiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua
2016	A*	`conf`	Shorter-is-Better: Venue Category Estimation from Micro-Video. ACM Multimedia Jianglong Zhang, Liqiang Nie, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua
2013	J	`jnl`	On Hermitian and skew-Hermitian splitting iteration methods for the linear matrix equation Comput. Math. Appl. Xiang Wang, Yan Li, Lin Dai