Publications (Google Scholar)

2024

ICLR'24	3D-MoLM: Towards 3D Molecule-Text Interpretation in Language Models Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang*, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
TOIS'24	On the Effectiveness of Sampled Softmax Loss for Item Recommendation Jiancan Wu, Xiang Wang*, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu
TOIS'24	MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation Yunshan Ma, Yingzhi He, Xiang Wang*, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua
WWW'24	General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang*
WWW'24	EXGC: Bridging Efficiency and Explainability in Graph Condensation Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang*, Xiangnan He
WWW'24	Invariant Graph Learning for Treatment Effect Estimation from Networked Observational Data Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang*
WWW'24	Graph Anomaly Detection with Bi-level Optimization Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang*, HuaMin Feng, Yongdong Zhang
TOIS'24	Robust Collaborative Filtering to Popularity Distribution Shift An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang*, Tat-Seng Chua
SIGIR'24	On Generative Agents for Recommendation An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang*, Tat-Seng Chua
SIGIR'24	Llara: Aligning Large Language Models with Sequential Recommenders Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang*, Xiangnan He
SIGIR'24	Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang and Maarten de Rijke
CVPR'24	Enhance Image Classification Via Inter-Class Image Mixup With Diffusion Model Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang*, Xiangnan He, Qi Tian
CVPR'24	LASO: Language-guided Affordance Segmentation on 3D Object Yicong Li, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang*, Tat-Seng Chua
AAAI'24	Text-to-Image Generation for Abstract Concepts Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
ICDE'24	BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang*
ICDE'24	Masked Graph Modeling with Multi-View Contrast Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang*

2023

NeurIPS'23	Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
NeurIPS'23	Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
NeurIPS'23	Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
NeurIPS'23	Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang*, Xiangnan He
NeurIPS'23	Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang*, Xiangnan He
NeurIPS'23	Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang*, Tat-Seng Chua
EMNLP'23	MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang*, Tat-Seng Chua
EMNLP'23	A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction Ruihao Shui, Yixin Cao, Xiang Wang*, Tat-Seng Chua
EMNLP'23	ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
ICSE'23	Learning Graph-based Code Representations for Source-level Functional Similarity Detection Jiahao Liu, Jun Zeng, Xiang Wang*, Zhenkai Liang
TPAMI'23	Transformer-Empowered Invariant Grounding for Video Question Answering Yicong Li, Xiang Wang*, Junbin Xiao, Wei Ji, Tat-Seng Chua
KDD'23	Context-aware Event Forecasting via Graph Disentanglement Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang*, Yixin Cao, Tat-Seng Chua
ACM MM'23	Redundancy-aware transformer for video question answering Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua
ACM MM'23	Online distillation-enhanced multi-modal transformer for sequential recommendation Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang
KDD'23	Discovering Dynamic Causal Space for DAG Structure Learning Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang*, Yueqi Duan, Tat-Seng Chua
SIGIR'23	Strategy-aware Bundle Recommender System Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang*, Liqiang Nie, Tat-Seng Chua
SIGIR'23	A Generic Learning Framework for Sequential Recommendation with Distribution Shifts Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang*
WWW'23	Invariant Collaborative Filtering to Popularity Distribution Shift An Zhang, Jingnan Zheng, Xiang Wang*, Yancheng Yuan, Tat-Seng Chua
WWW'23	Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum Yuan Gao, Xiang Wang*, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
WWW'23	GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang*, Xiangnan He
ICLR'23	Boosting Causal Discovery via Adaptive Sample Reweighting An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang*, Tat-Seng Chua
ICSE'23	Learning Graph-based Code Representations for Source-level Functional Similarity Detection Jiahao Liu, Jun Zeng, Xiang Wang*, Zhenkai Liang
WSDM'23	Cooperative Explanations of Graph Neural Networks Junfeng Fang, Xiang Wang*, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
WSDM'23	Alleviating Structural Distribution Shift in Graph Anomaly Detection Yuan Gao, Xiang Wang*, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
TKDE'23	Rule-guided Counterfactual Explainable Recommendation Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua
TOIS'23	Bias and debias in recommender system: A survey and future directions Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
TOIS'23	User Perception of Recommendation Explanation: Are Your Explanations What Users Need? Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma

2022

NeurIPS'22	Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
ICML'22	Let Invariant Rationale Discovery inspire Graph Contrastive Learning. Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua.
ICLR'22	Discovering invariant rationales for graph neural networks. YingXin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua.
TPAMI'22	Reinforced Causal Explainer for Graph Neural Networks Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua
KDD'22	Causal Attention for Interpretable and Generalizable Graph Classification. Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.
KDD'22	CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua.
CVPR'22	Invariant Grounding for Video Question Answering. Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua.
CVPR'22	Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation. Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang.
IEEE S&P'22	Shadewatcher: Recommendation-guided Cyber Threat Analysis Using System Audit Records. Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua.
ISSTA'22	TELL: Log Level Suggestions via Modeling Multi-level Code Block Information. Jiahao Liu, Jun Zeng, Xiang Wang, Kaihang Ji, Zhenkai Liang.
TOIS'22	Time-aware Path Reasoning on Knowledge Graph for Recommendation. Yuyue Zhao, Xiang Wang, Jiawei Chen, Wei Tang, Yashen Wang, Xiangnan He, Haiyong Xie.
WWW'22	Cross Pairwise Ranking for Unbiased Item Recommendation. Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang.
TKDE'22	Causal Inference for Knowledge Graph based Recommendation. Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Tat-Seng Chua.
TKDE'22	A survey on neural recommendation: From collaborative filtering to content and context enriched recommendation. Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang.
IJCAI'22	Copy Motion From One to Another: Fake Motion Video Generation. Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng.

2021

NeurIPS'21	Towards Multi-Grained Explainability for Graph Neural Networks Xiang Wang, Yingxin Wu, An Zhang, Xiangnan He, Tat-Seng Chua
WWW'21	Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
SIGIR'21	Self-supervised graph learning for recommendation. Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie.
ACM MM'21	Contrastive learning for cold-start recommendation. Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua.
TMM'21	Hierarchical user intent graph network for multimedia recommendation. Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua.

2020

WWW'20	Reinforced Negative Sampling over Knowledge Graph for Recommendation Xiang Wang, Yaokun Xu, Xiangnan He, Yinxin Cao, Meng Wang, Tat-Seng Chua.
SIGIR'20	Disentangled Graph Collaborative Filtering Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua.
SIGIR'20	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang.
SIGIR'20	Hierarchical Fashion Graph Network for Personalised Outfit Recommendation. Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua.
ACM MM'20	Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua.
ACM MM'20	How to Learn Item Representation for Cold-Start Multimedia Recommendation?. Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, Tat-Seng Chua.
AAAI'20	Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua.
IJCAI'20	Smart Contract Vulnerability Detection Using Graph Neural Networks. Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He.
IJCAI'20	Bilinear Graph Neural Network with Neighbor Interactions. Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang.
KDD'20	Interactive Path Reasoning on Graph for Conversational Recommendation. Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua.
IPM'20	MGAT: Multimodal Graph Attention Network for Recommendation. Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua.
IPM'20	HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua.

2019

KDD'19	KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua.
SIGIR'19	Neural Graph Collaborative Filtering Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua.
SIGIR'19	Interpretable Fashion Matching with Rich Attributes. Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua.
AAAI'19	Explainable Reasoning over Knowledge Graph Paths for Recommendation. Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua.
WWW'19	Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference. Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua.
TIP'19	Neural multimodal cooperative learning toward micro-video understanding. Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen.
ACM MM'19	MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video. Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua.
TOIS'19	Temporal Relational Ranking for Stock Prediction. Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua.
TOIS'19	Deep Item-based Collaborative Filtering for Top-N Recommendation. Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong.

2018

WWW'18	TEM: Tree-enhanced Embedding Model for Explainable Recommendation. Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua.
TIP'18	Online data organizer: micro-video categorization by structure-guided multimodal dictionary learning. Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, Baoquan Chen.
ACM MM'18	Crossmodal Moment Localization in Videos. Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, Tat-Seng Chua.
SIGIR'18	Attentive Moment Retrieval in Videos. Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua.
SIGIR'18	A Personal Privacy Preserving Framework. Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu.
IJCAI'18	Outer Product-based Neural Collaborative Filtering. Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua.

2017

SIGIR'17	Item Silk Road: Recommending Items from Information Domains to Social Users. Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua.
SIGIR'17	Computational Social Indicators: A Case Study of Chinese University Ranking. Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua.
TOIS'17	Unifying Virtual and Physical Worlds: Learning towards Local and Global Consistency. Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua.
ACM MM'17	Enhancing Micro-video Understanding by Harnessing External Sounds. Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian.
TKDE'17	Data-Driven Answer Selection in Community QA Systems. Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang.

2016

ACM MM'16	Shorter-is-Better: Venue Category Estimation from Micro-Video. Jianglong Zhang, Liqiang Nie, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua.
ACM MM'16	Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model. Jingyuan Chen, Xuemeng Song, Liqiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua.