百晓学者学者目录

王翔

中国科学技术大学

精选作品

期刊论文

2026

概念嵌入增强的可解释图像聚类

王翔，刘华锋，景丽萍，于剑，郭龙腾，杨雅君

《计算机学报》

2026

融合图滤波与注意力机制的图异常检测方法

王天昊，窦浩，王翔，毛国君

《智能系统学报》

2026

RosePO: Customized Preference Alignment in LLM-Based Recommendation

Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Jingru Duan, Wenyu Zang, Xiang Wang

ACM Transactions on Information Systems

DOI

2026

Decomposing Predictive Roles of Semantic and Collaborative Information for Sequential Recommendation

Jiangnan Xia, Yu Yang, Xiang Wang, Ninghao Liu

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

Reasoning over Semantic IDs Enhances Generative Recommendation

Yingzhi He, Yan Sun, Junfei Tan, Yuxin Chen, Xiaoyu Kong, Chunxu Shen, Xiang Wang, An Zhang, Tat‐Seng Chua

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2025

Large Language Model Can Interpret Latent Space of Sequential Recommender

Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He

ACM Transactions on Information Systems

DOI

2025

Position-aware Graph Transformer for Recommendation

Jiajia Chen, Jiancan Wu, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang

ACM Transactions on Information Systems

DOI

2025

Reinforced Prompt Personalization for Recommendation with Large Language Models

Wenyu Mao, Jiancan Wu, Jiawei Chen, Chongming Gao, Xiang Wang, Xiangnan He

ACM Transactions on Information Systems

DOI

2025

Towards Large Generative Recommendation: A Tokenization Perspective

Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat‐Seng Chua, Julian McAuley

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

Invariant graph learning meets information bottleneck for out-of-distribution generalization

Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang

Frontiers of Computer Science

DOI

2025

Website Owner Identification through Multi-level Contrastive Representation Learning

Cheng Sheng Tu, Yunshan Ma, Yang Li, Min Zhang, Miao Hu, Fan Shi, Xiang Wang

ACM Transactions on Knowledge Discovery from Data

DOI

2025

LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems

Yuyue Zhao, Jin Huang, Shuchang Liu, Jiancan Wu, Xiang Wang, Maarten de Rijke

DOI

2025

AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings

Guoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Multi-Grained Patch Training for Efficient LLM-based Recommendation

Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Addressing Missing Data Issue for Diffusion-based Recommendation

Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Generative Recommendation Models: Progress and Directions

Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat‐Seng Chua, Julian McAuley

DOI

2025

Explainable and Efficient Editing for Large Language Models

Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He

DOI

2025

A Unified Invariant Learning Framework for Graph Classification

Yongduo Sui, Jie Sun, Shuyao Wang, Zemin Liu, Qing Cui, Longfei Li, Xiang Wang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2025

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue

Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat‐Seng Chua

Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)

DOI

2024

Hybrid-attention mechanism based heterogeneous graph representation learning

Xiang Wang, Weikang Deng, Zhenyu Meng, Dewang Chen

Expert Systems With Applications，Vol. 250

DOI

2024

Rule-Guided Counterfactual Explainable Recommendation

Yin-wei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Li-Qiang Nie, Tat-seng Chua

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

ToDA: Target-oriented Diffusion Attacker against Recommendation System

Xiao-Hao Liu, Zhu-Lin Tao, Tingyu Jiang, He Chang, Yunshan Ma, Yin-wei Wei, Xiang Wang

arXiv.org

DOI

2024

Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection

Yuan Gao, Jinghan Li, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation

Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat‐Seng Chua

ACM Transactions on Information Systems

DOI

2024

Disentangling Masked Autoencoders for Unsupervised Domain Generalization

An Zhang, Han Wang, Xiang Wang, Tat‐Seng Chua

Lecture notes in computer science

DOI

2024

A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance

Yongduo Sui, Shuyao Wang, Jie Sun, Zhiyuan Liu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He

ACM Transactions on Knowledge Discovery from Data

DOI

2024

Inductive Lottery Ticket Learning for Graph Neural Networks

Yongduo Sui, Xiang Wang, Tianlong Chen, Meng Wang, Xiangnan He, Tat‐Seng Chua

Journal of Computer Science and Technology

DOI

2024

CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling

Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat‐Seng Chua

ACM International Conference on Multimedia (ACM MM)

DOI

2024

LLaRA: Large Language-Recommendation Assistant

Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning

Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval

Ming Jin, Wenbo Hu, Lei Zhu, Xiang Wang, Richang Hong

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2024

Self-attentive Rationalization for Interpretable Graph Contrastive Learning

Sihang Li, Yanchen Luo, An Zhang, Xiang Wang, Longfei Li, Jun Zhou, Tat‐Seng Chua

ACM Transactions on Knowledge Discovery from Data

DOI

2024

BSL: Understanding and Improving Softmax Loss for Recommendation

Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang

Proceedings - International Conference on Data Engineering

DOI

2024

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System

Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li

ACM Web Conference (WWW)

DOI

2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation

Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He

ACM Web Conference (WWW)

DOI

2024

Invariant Graph Learning for Causal Effect Estimation

Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang

ACM Web Conference (WWW)

DOI

2024

Graph Anomaly Detection with Bi-level Optimization

Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang

ACM Web Conference (WWW)

DOI

2024

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout

An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang

ACM Web Conference (WWW)

DOI

2024

Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction

Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat‐Seng Chua

ACM International Conference on Web Search and Data Mining (WSDM)

DOI

2024

Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning

Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat‐Seng Chua

ACM Transactions on Knowledge Discovery from Data

DOI

2023

共识图学习驱动的自监督集成聚类

耿伟峰，王翔，景丽萍，于剑

《中国图象图形学报》

2023

Learning to Double-Check Model Prediction From a Causal Perspective

Xun Deng, Fu-Li Feng, Xiang Wang, Xiang-Nan He, Hanwang Zhang, Tat-seng Chua

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Boosting Causal Discovery via Adaptive Sample Reweighting

An Zhang, Fang Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-seng Chua

International Conference on Learning Representations

2023

LightGT: A Light Graph Transformer for Multimedia Recommendation

Yin-wei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Li-Qiang Nie, Tat-seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2023

Self-Supervised Learning for Multimedia Recommendation

Zhu-Lin Tao, Xiao-Hao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua

IEEE transactions on multimedia

DOI

2023

Discovering Spatio-Temporal Rationales for Video Question Answering

Yi-Cong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-seng Chua

IEEE International Conference on Computer Vision

DOI

2023

Cooperative Explanations of Graph Neural Networks

Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiang-Nan He, Tat-seng Chua

Web Search and Data Mining

DOI

2023

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation

Wei Ji, Xiangyan Liu, An Zhang, Yin-wei Wei, Yongxin Ni, Xiang Wang

ACM Multimedia

DOI

2023

Discovering Dynamic Causal Space for DAG Structure Learning

F. Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-seng Chua

Knowledge Discovery and Data Mining

DOI

2023

Strategy-aware Bundle Recommender System

Yin-wei Wei, Xiao-Hao Liu, Yun-Shan Ma, Xiang Wang, Li-Qiang Nie, Tat-seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2023

Invariant Collaborative Filtering to Popularity Distribution Shift

An Zhang, J. Zheng, Xiang Wang, Yan-Cheng Yuan, Tat-Seng Chua

The Web Conference

DOI

2023

Redundancy-aware Transformer for Video Question Answering

Yi-Cong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-seng Chua

ACM Multimedia

DOI

2023

Alleviating Structural Distribution Shift in Graph Anomaly Detection

Yuan Gao, Xiang Wang, Xiang-Nan He, Zhenguang Liu, Huamin Feng, Yong-Dong Zhang

Web Search and Data Mining

DOI

2023

GIF: A General Graph Unlearning Strategy via Influence Function

Jian-Can Wu, Yi Yang, Yu-Chun Qian, Yongduo Sui, Xiang Wang, Xiang-Nan He

The Web Conference

DOI

2023

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts

Zheng-Yi Yang, Xiang-Nan He, Jizhi Zhang, Jian-Can Wu, Xin Xin, Jiawei Chen, Xiang Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2023

Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum

Yuan Gao, Xiang Wang, Xiang-Nan He, Zhenguang Liu, Huamin Feng, Yong-Dong Zhang

The Web Conference

DOI

2023

Robust Collaborative Filtering to Popularity Distribution Shift

An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat‐Seng Chua

ACM Transactions on Information Systems

DOI

2023

Context-aware Event Forecasting via Graph Disentanglement

Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat‐Seng Chua

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2022

基于剪边策略的图残差卷积深层网络模型

毛国君，王者浩，黄山，王翔

《电子学报》

2022

Causal Inference for Knowledge Graph Based Recommendation

Yin-wei Wei, Xiang Wang, Li-Qiang Nie, Shaoyu Li, Dingxian Wang, Tat-seng Chua

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Invariant Grounding for Video Question Answering

Yi-Cong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-seng Chua

Computer Vision and Pattern Recognition

DOI

2022

Let Invariant Rationale Discovery Inspire Graph Contrastive Learning

Si-Hang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiang-Nan He, Tat-seng Chua

International Conference on Machine Learning

DOI

2022

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering

An Zhang, Wenchang Ma, Xiang Wang, Tat-seng Chua

Neural Information Processing Systems

DOI

2022

Self-Supervised Learning for Recommendation

Chao Huang, Lianghao Xia, Xiang Wang, Xiang-Nan He, Da-Wei Yin

International Conference on Information and Knowledge Management

DOI

2022

User Perception of Recommendation Explanation: Are Your Explanations What Users Need?

Hongyu Lu, Wei-Zhi Ma, Yifan Wang, M. Zhang, Xiang Wang, Yi-Qun Liu, Tat-seng Chua, Shao-Ping Ma

ACM Trans. Inf. Syst.

DOI

2022

Equivariant and Invariant Grounding for Video Question Answering

Yi-Cong Li, Xiang Wang, Junbin Xiao, Tat-seng Chua

ACM Multimedia

DOI

2022

Reinforced Causal Explainer for Graph Neural Networks

Xiang Wang, Yingxin Wu, An Zhang, Fu-Li Feng, Xiang-Nan He, Tat-seng Chua

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2022

Cross Pairwise Ranking for Unbiased Item Recommendation

Qi Wan, Xiang-Nan He, Xiang Wang, Jian-Can Wu, Wei Guo, Rui-Ming Tang

The Web Conference

DOI

2022

Self-Supervised Learning for Recommender System

Chao Huang, Xiang Wang, Xiang-Nan He, Da-Wei Yin

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2022

Differentiable Invariant Causal Discovery

Yu Wang, An Zhang, Xiang Wang, Yan-Cheng Yuan, Xiang-Nan He, Tat-seng Chua

arXiv.org

DOI

2022

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation

Yunshan Ma, Ying-Zhi He, An Zhang, Xiang Wang, Tat-seng Chua

Knowledge Discovery and Data Mining

DOI

2022

SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records

Jun Zengy, Xiang Wang, Jia-Hao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua

IEEE Symposium on Security and Privacy

DOI

2022

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift

Yongduo Sui, Qi-Tian Wu, Jian-Can Wu, Qing Cui, Long-Fei Li, Jun Zhou, Xiang Wang, Xiang-Nan He

Neural Information Processing Systems

DOI

2022

Training Free Graph Neural Networks for Graph Matching

Zhiyuan Liu, Yixin Cao, Fu-Li Feng, Xiang Wang, Xin-Di Shang, Jie Tang, Kenji Kawaguchi, Tat-seng Chua

arXiv.org

2022

Discovering Invariant Rationales for Graph Neural Networks

Yingmin Wu, Xiang Wang, An Zhang, Xiang-Nan He, Tat-seng Chua

International Conference on Learning Representations

2022

Deconfounding to Explanation Evaluation in Graph Neural Networks

Yingmin Wu, Xiang Wang, An Zhang, Xia Hu, Fu-Li Feng, Xiang-Nan He, Tat-seng Chua

arXiv.org

2022

Rumor detection with self-supervised learning on texts and social graph

Yuan Gao, Xiang Wang, Xiang-Nan He, Hua-Min Feng, Yongdong Zhang

Frontiers of Computer Science

DOI

2022

Graph Neural Networks for Recommender System

Chen Gao, Xiang Wang, Xiang-Nan He, Yong Li

Web Search and Data Mining

DOI

2022

On the Effectiveness of Sampled Softmax Loss for Item Recommendation

Jian-Can Wu, Xiang Wang, Xingyu Gao, Jia-Wei Chen, Hongcheng Fu, Tian-Yu Qiu, Xiang-Nan He

ACM Trans. Inf. Syst.

DOI

2021

A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation

Le Wu, Xiang-Nan He, Xiang Wang, Kun Zhang, Meng Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Time horizon-aware modeling of financial texts for stock price prediction

Fu-Li Feng, Xiang Wang, Xiang-Nan He, Ritchie Ng, Tat-seng Chua

International Conference on AI in Finance

DOI

2021

Towards Multi-Grained Explainability for Graph Neural Networks

Xiang Wang, Yingmin Wu, An Zhang, Xiang-Nan He, Tat-seng Chua

Neural Information Processing Systems

2021

Causal Attention for Interpretable and Generalizable Graph Classification

Yongduo Sui, Xiang Wang, Jian-Can Wu, Min Lin, Xiang-Nan He, Tat-seng Chua

Knowledge Discovery and Data Mining

DOI

2021

Deconfounded Training for Graph Neural Networks

Yongduo Sui, Xiang Wang, Jian-Can Wu, Xiang-Nan He, Tat-seng Chua

arXiv.org

2021

Summary of Tutorials at The Web Conference 2021

Robert West, Smriti Bhagat, Paul Groth, M. Zitnik, Francisco M. Couto, Pasquale Lisena, Albert Meroño-Peñuela, Xiangyu Zhao, Wenqi Fan, Da-Wei Yin, Ji-Liang Tang, Linjun Shou, Ming Gong, J. Pei, Xiu-Bo Geng, Xingjie Zhou, Da-Xin Jiang, B. Ricaud, N. Aspert, Volodymyr Miz, J. Dy, Stratis Ioannidis, Ilkay Yildiz, R. Rezapour, Samin Aref, Ly Dinh, Jana Diesner, Alexey Drutsa, Dmitry Ustalov, Nikita I. Popov, Daria Baidakova, Shubhanshu Mishra, Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, C. Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang, Florian Laurent, Yanick Schraner, C. Scheller, S. Mohanty, Jia-Wei Chen, Xiang Wang, Fu-Li Feng, Xiang-Nan He, I. Teinemaa, Javier Albert, Dmitri Goldenberg, Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum, Otmane Sakhi, Yu Rong, Wen-Bing Huang, Tingyang Xu, Yatao Bian, Hongying Cheng, Fuchun Sun, Jun-Zhou Huang, Shobeir Fakhraei, C. Faloutsos, Onur Çelebi, Martin Müller, Manuel Schneider, Olesia Altunina, Wolfram Wingerath, Benjamin Wollmer, Felix Gessert, Stephan Succo, N. Ritter, Evann Courdier, Tudor Mihai Avram, Dragan Cvetinovic, L. Tsinadze, Johny Jose, R. Howell, M. Koenig, Michaël Defferrard, K. Kenthapadi, Ben Packer, M. Sameki, Nashlie H. Sephus

Companion Proceedings of the Web Conference 2021

DOI

2021

Contrastive Learning for Cold-Start Recommendation

Yin-wei Wei, Xiang Wang, Qi Li, Li-Qiang Nie, Yan Li, Xuan-Ping Li, Tat-seng Chua

ACM Multimedia

DOI

2021

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation

Le Wu, Xiang-Nan He, Xiang Wang, Kun Zhang, Meng Wang

arXiv.org

2021

Deconfounded Recommendation for Alleviating Bias Amplification

Wenjie Wang, Fu-Li Feng, Xiang-Nan He, Xiang Wang, Tat-seng Chua

Knowledge Discovery and Data Mining

DOI

2021

Time-aware Path Reasoning on Knowledge Graph for Recommendation

Yuyue Zhao, Xiang Wang, Jia-Wei Chen, Yashen Wang, Wei Tang, Xiang-Nan He, Hai-Ying Xie

ACM Trans. Inf. Syst.

DOI

2021

Exploring lottery ticket hypothesis in media recommender systems

Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiang-Nan He

International Journal of Intelligent Systems

DOI

2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation

Xiang Wang, Tinglin Huang, Dingxian Wang, Yan-Cheng Yuan, Zhenguang Liu, Xiang-Nan He, Tat-seng Chua

The Web Conference

DOI

2021

Hierarchical User Intent Graph Network for Multimedia Recommendation

Yin-wei Wei, Xiang Wang, Xiang-Nan He, Li-Qiang Nie, Yong Rui, Tat-Seng Chua

IEEE transactions on multimedia

DOI

2021

Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021

Jia-Wei Chen, Xiang Wang, Fu-Li Feng, Xiang-Nan He

ACM Conference on Recommender Systems

DOI

2020

MGAT: Multimodal Graph Attention Network for Recommendation

Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua

Information Processing & Management，Vol. 57, No. 5

DOI

2020

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network

Jing-Jing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, C. Ngo, Tat-Seng Chua

AAAI Conference on Artificial Intelligence

DOI

2020

Bilinear Graph Neural Network with Neighbor Interactions

Hongmin Zhu, Fu-Li Feng, Xiang-Nan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang

International Joint Conference on Artificial Intelligence

DOI

2020

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

Yin-wei Wei, Xiang Wang, Li-Qiang Nie, Xiang-Nan He, Tat-Seng Chua

ACM Multimedia

DOI

2020

Reinforced Negative Sampling over Knowledge Graph for Recommendation

Xiang Wang, Yao Xu, Xiang-Nan He, Yixin Cao, Meng Wang, Tat-Seng Chua

The Web Conference

DOI

2020

Disentangled Graph Collaborative Filtering

Xiang Wang, Hongye Jin, An Zhang, Xiang-Nan He, Tong Xu, Tat-Seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2020

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding

Yin-wei Wei, Xiang Wang, Wei-Li Guan, Li-Qiang Nie, Zhou-Chen Lin, Bao-Quan Chen

IEEE Transactions on Image Processing

DOI

2020

A-FMI: Learning Attributions from Deep Networks via Feature Map Importance

An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-seng Chua, Zehua Chen

arXiv.org

2020

How to Learn Item Representation for Cold-Start Multimedia Recommendation?

Xiaoyu Du, Xiang Wang, Xiang-Nan He, Ze-Chao Li, Jin-Hui Tang, Tat-Seng Chua

ACM Multimedia

DOI

2020

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Xiang-Nan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2020

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation

Xingchen Li, Xiang Wang, Xiang-Nan He, Long Chen, Jun Xiao, Tat-Seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2020

Self-supervised Graph Learning for Recommendation

Jian-Can Wu, Xiang Wang, Fu-Li Feng, Xiang-Nan He, Liang Chen, Jian-Xun Lian, Xing Xie

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2020

Bias and Debias in Recommender System: A Survey and Future Directions

Jiawei Chen, Hande Dong, Xiang Wang, Fu-Li Feng, Meng Wang, Xiang-Nan He

ACM Trans. Inf. Syst.

DOI

2020

Graph convolution machine for context-aware recommender system

Jian-Can Wu, Xiang-Nan He, Xiang Wang, Qi-Fan Wang, Weijian Chen, Jian-Xun Lian, Xing Xie, Yongdong Zhang

Frontiers of Computer Science

DOI

2020

Interactive Path Reasoning on Graph for Conversational Recommendation

Wenqiang Lei, Gang-Yi Zhang, Xiang-Nan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua

Knowledge Discovery and Data Mining

DOI

2019

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video

Yin-wei Wei, Xiang Wang, Li-Qiang Nie, Xiang-Nan He, Richang Hong, Tat-Seng Chua

ACM Multimedia

DOI

2019

Learning and Reasoning on Graph for Recommendation

Xiang Wang, Xiang-Nan He, Tat-Seng Chua

International Conference on Information and Knowledge Management

DOI

2019

Neural Graph Collaborative Filtering

Xiang Wang, Xiang-Nan He, Meng Wang, Fu-Li Feng, Tat-Seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2019

Interpretable Fashion Matching with Rich Attributes

Xun Yang, Xiang-Nan He, Xiang Wang, Yunshan Ma, Fu-Li Feng, Meng Wang, Tat-Seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2019

KGAT: Knowledge Graph Attention Network for Recommendation

Xiang Wang, Xiang-Nan He, Yixin Cao, Meng Liu, Tat-Seng Chua

Knowledge Discovery and Data Mining

DOI

2019

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

Yixin Cao, Xiang Wang, Xiang-Nan He, Zi-Kun Hu, Tat-Seng Chua

The Web Conference

DOI

2019

Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning

Meng Liu, Li-Qiang Nie, Xiang Wang, Q. Tian, Bao-Quan Chen

IEEE Transactions on Image Processing

DOI

2018

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

Xiang Wang, Dingxian Wang, Canran Xu, Xiang-Nan He, Yixin Cao, Tat-Seng Chua

AAAI Conference on Artificial Intelligence

DOI

2018

Explainable Reasoning over Knowledge Graphs for Recommendation

Xiang Wang, Ding-Xian Wang, Canran Xu, Xiang-Nan He, Yi-Xin Cao, Tat-seng Chua

AAAI Conference on Artificial Intelligence

DOI

2018

Outer Product-based Neural Collaborative Filtering

Xiang-Nan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jin-Hui Tang, Tat-Seng Chua

International Joint Conference on Artificial Intelligence

DOI

2018

TEM: Tree-enhanced Embedding Model for Explainable Recommendation

Xiang Wang, Xiang-Nan He, Fu-Li Feng, Li-Qiang Nie, Tat-Seng Chua

The Web Conference

DOI

2018

Cross-modal Moment Localization in Videos

Meng Liu, Xiang Wang, Li-Qiang Nie, Q. Tian, Bao-Quan Chen, Tat-Seng Chua

ACM Multimedia

DOI

2018

Attentive Moment Retrieval in Videos

Meng Liu, Xiang Wang, Li-Qiang Nie, Xiang-Nan He, Bao-Quan Chen, Tat-Seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2018

Temporal Relational Ranking for Stock Prediction

Fu-Li Feng, Xiang-Nan He, Xiang Wang, Cheng Luo, Yi-Qun Liu, Tat-Seng Chua

ACM Trans. Inf. Syst.

DOI

2018

A Personal Privacy Preserving Framework: I Let You Know Who Can See What

Xuemeng Song, Xiang Wang, Li-Qiang Nie, Xiang-Nan He, Zhu-Min Chen, W. Liu

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2018

Deep Item-based Collaborative Filtering for Top-N Recommendation

Feng Xue, Xiang-Nan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong

ACM Trans. Inf. Syst.

DOI

2017

Item Silk Road: Recommending Items from Information Domains to Social Users

Xiang Wang, Xiang-Nan He, Li-Qiang Nie, Tat-Seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2017

Unifying Virtual and Physical Worlds

Xiang Wang, Li-Qiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua

ACM Trans. Inf. Syst.

DOI

2017

Computational Social Indicators: A Case Study of Chinese University Ranking

Fu-Li Feng, Li-Qiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2017

Enhancing Micro-video Understanding by Harnessing External Sounds

Li-Qiang Nie, Xiang Wang, Jianglong Zhang, Xiang-Nan He, Hanwang Zhang, Richang Hong, Q. Tian

ACM Multimedia

DOI

2016

Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model

Jingyuan Chen, Xuemeng Song, Li-Qiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua

ACM Multimedia

DOI

2016

Shorter-is-Better: Venue Category Estimation from Micro-Video

Jianglong Zhang, Li-Qiang Nie, Xiang Wang, Xiang-Nan He, Xianglin Huang, Seng-Chua Tat

ACM Multimedia

DOI

2011

User-Specific Video Summarization

Xiang Wang, Jing Chen, Cai-Zhi Zhu

2011 International Conference on Multimedia and Signal Processing

DOI

预印本

2026

On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation

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

arXiv preprint

2026

ReSI: Recursive Safety Improvement toward Resistant and Resilient AI

Jingnan Zheng, Dongcheng Zhang, Yi Zhang, Ming Zhang, Qiaosheng Zhang, Youbang Sun, An Zhang, Xiangnan He, Tat-Seng Chua, Xia Hu, Bowen Zhou, Chaochao Lu, Xiang Wang

arXiv preprint

2026

Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR

Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Mingzhu Chen, Jiancan Wu, Kuien Liu, Xiang Wang

arXiv preprint

2026

DRAFT: Task Decoupled Latent Reasoning for Agent Safety

Lin Wang, Junfeng Fang, Dan Zhang, Fei Shen, Xiang Wang, Tat-Seng Chua

arXiv preprint

2026

Dynamic Spectral Denoising with Global-Context Attention for Multi-Behavior Recommendation

Miaomiao Cai, Yunshan Ma, Fangqi Zhu, Junfeng Fang, Zhijie Zhang, Zhiyong Cheng, Xiang Wang, See-Kiong Ng

arXiv preprint

DOI

2026

Learning to Self-Verify Makes Language Models Better Reasoners

Yuxin Chen, Yu Wang, Yi Zhang, Ziang Ye, Zhengzhou Cai, Yaorui Shi, Qi Gu, Hui Su, Xunliang Cai, Xiang Wang, An Zhang, Tat-Seng Chua

arXiv preprint

2026

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs

Houcheng Jiang, Jiajun Fu, Junfeng Fang, Chen Gao, Xiang Wang, Xiangnan He, Yong Li

arXiv preprint

2026

Self-Guard: Defending Large Reasoning Models via enhanced self-reflection

Jingnan Zheng, Jingjun Xu, Yanzhen Luo, Chenhang Cui, Gelei Deng, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua

arXiv preprint

2026

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning

Zirui Song, Huaxing Liu, Xiang Wang, Shuai Li, Xinye Li, Lang Gao, Jinghui Zhang, Zheng Lu, Fengxian Ji, Xiaojun Chang, Xiuying Chen

arXiv preprint

2026

CUSE: Fine-Grained Multimodal Unlearning with Counterfactual Guidance and On-Policy Self-Distillation

Chenlu Ding, Jiancan Wu, Yanchen Luo, Tianyu Zhang, Yancheng Yuan, Xiang Wang, Xiangnan He

arXiv preprint

2026

SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systems

Xiang Wang, Shigang Quan, Tingzhen Chang, Kang Yang, Sitong Chen, Yabo Fan, Xingxing Wang, Zhaodian He

arXiv preprint

DOI

2026

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

Weiqin Yang, Yue Pan, Chongming Gao, Sheng Zhou, Xiang Wang, Can Wang, Jiawei Chen

arXiv preprint

DOI

2026

RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors

Miaomiao Cai, Zhijie Zhang, Junfeng Fang, Zhiyong Cheng, Xiang Wang, Meng Wang

arXiv preprint

DOI

2026

DynamicPO: Dynamic Preference Optimization for Recommendation

Xingyu Hu, Kai Zhang, Jiancan Wu, Shuli Wang, Chi Wang, Wenshuai Chen, Yinhua Zhu, Haitao Wang, Xingxing Wang, Xiang Wang

arXiv preprint

2026

Fine-grained Semantics Integration for Large Language Model-based Recommendation

Jiawei Feng, Xiaoyu Kong, Leheng Sheng, Bin Wu, Chao Yi, Feifang Yang, Xiang-Rong Sheng, Han Zhu, Xiang Wang, Jiancan Wu, Xiangnan He

arXiv preprint

2025

Contrastive Weak-to-strong Generalization

Houcheng Jiang, Junfeng Fang, Jiaxin Wu, Tianyu Zhang, Chen Gao, Xiang Wang, Xiangnan He, Yang Deng

arXiv preprint

2025

Interpretable Reward Model via Sparse Autoencoder

Shuyi Zhang, Wei Shi, Sihang Li, Jiayi Liao, Hengxing Cai, Xiang Wang

arXiv preprint

2025

Reinforced Preference Optimization for Recommendation

Junfei Tan, Yuxin Chen, An Zhang, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Xiang Wang

arXiv preprint

2025

SAFER: Probing Safety in Reward Models with Sparse Autoencoder

Wei Shi, Ziyuan Xie, Sihang Li, Xiang Wang

arXiv preprint

2025

MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering

Chenlu Ding, Jiancan Wu, Leheng Sheng, Fan Zhang, Yancheng Yuan, Xiang Wang, Xiangnan He

arXiv preprint

2025

Delayed Feedback Modeling with Influence Functions

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich

arXiv preprint

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

arXiv preprint

2025

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning

Yutian Liu, Zhengyi Yang, Jiancan Wu, Xiang Wang

arXiv preprint

2025

Think before Recommendation: Autonomous Reasoning-enhanced Recommender

Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang

arXiv preprint

2025

On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders

Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang

arXiv preprint

2025

MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models

Yongheng Zhang, Xinyun Zhao, Yunshan Ma, Haokai Ma, Yingxiao Guan, Guozheng Yang, Yuliang Lu, Xiang Wang

arXiv preprint

2025

MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation

Xiaoyu Kong, Leheng Sheng, Junfei Tan, Yuxin Chen, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He

arXiv preprint

2025

Denoising Neural Reranker for Recommender Systems

Wenyu Mao, Shuchang Liu, Hailan Yang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang

arXiv preprint

2025

FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens

Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang

arXiv preprint

2025

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation

Guoqing Hu, An Zhang. Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang

arXiv preprint

2024

Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation

Hu, Guoqing, Zhengyi Yang, Zhibo Cai, A Q Zhang, Xiang Wang

arXiv (Cornell University)

DOI

2024

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector

Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang

arXiv (Cornell University)

DOI

2024

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

arXiv (Cornell University)

DOI

2024

Customizing Language Models with Instance-wise LoRA for Sequential Recommendation

Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He

arXiv preprint

2024

Unified Parameter-Efficient Unlearning for LLMs

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

arXiv preprint

2024

BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers

Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou

arXiv preprint

2024

$β$-DPO: Direct Preference Optimization with Dynamic $β$

Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

arXiv preprint

2024

AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models

Yongheng Zhang, Tingwen Du, Yunshan Ma, Xiang Wang, Yi Xie, Guozheng Yang, Yuliang Lu, Ee-Chien Chang

arXiv preprint

2024

RosePO: Aligning LLM-based Recommenders with Human Values

Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang

arXiv preprint

2024

Language Representations Can be What Recommenders Need: Findings and Potentials

Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua

arXiv preprint

2024

On Softmax Direct Preference Optimization for Recommendation

Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua

arXiv preprint

2023

SCTc-TE: A Comprehensive Formulation and Benchmark for Temporal Event Forecasting

Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat‐Seng Chua

arXiv (Cornell University)

DOI

2023

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation

Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang

arXiv (Cornell University)

DOI

2023

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss

An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua

arXiv preprint

2023

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion

Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He

arXiv preprint

2023

On Generative Agents in Recommendation

An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua

arXiv preprint

2020

A Multi-View Approach Based on Naming Behavioral Modeling for Aligning Chinese User Accounts across Multiple Networks

Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou

arXiv preprint

研究方向

信息检索数据挖掘可信可解释人工智能推荐系统/图学习/社交媒体分析

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