百晓学者学者目录

王翔

副研究员，复旦大学

精选作品

期刊论文

2026

约束与包容：流动人口司法治理的差异性研究

王翔，胡悦

《公共管理评论》，Vol. 8, No. 1

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2026

人工智能公共语料库建设、共享与开放：困境、成因与政策路径

王翔，何丹，郑磊

《电子政务》

2026

AI资产流动权刍议

王翔，孙逊

《上海法学研究》

2026

人工智能赋能城市交通管理的逻辑框架与应用实践

王翔，华梦瑶，陈剑峰

《道路交通管理》

2026

离岸数据风险分类、识别与管理系统开发及示范应用

沐华平，朱晓雯，王翔

《中国科技产业》

DOI

2025

机构专门化驱动的开放政府变革——基于地方大数据管理机构的实证探索

王翔，张梓洋

《中国人民大学学报》，Vol. 39, No. 2

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2025

“引流”抑或“替代”：政务社交媒体的公众参与效应

王翔，张铨

《华中科技大学学报(社会科学版)》，Vol. 39, No. 3

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2025

“沟通即治理”：政治传播能力如何塑造开放政府建设

王翔，张铨

《上海交通大学学报(哲学社会科学版)》，Vol. 33, No. 7

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2025

政府数据为何开放？——执行与沟通能力的互动机制分析

王翔，黄钦

《公共管理与政策评论》

2025

“人工智能+”行动：概念演进、作用机理、治理逻辑与发展路径

刘枝，易成岐，黄倩倩，李勇，何哲，李重照，王翔，赵精武，王健骁，魏钰明

《电子政务》

DOI

2024

诉源治理的“减负”效应——政法逻辑与司法逻辑的竞争性视角

孙昊辰，张铨，王翔

《公共管理评论》，No. 4

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2024

迈向数字法治政府：开放政府视角下的公民法治满意度

王翔

《东北大学学报(社会科学版)》，Vol. 26, No. 5

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2024

“公共的”数据治理：公共数据治理的范围、目标与内容框架

王翔，郑磊

《电子政务》

2024

公民参与的数字化“回声”:信息公开如何塑造意见表达

王翔，白劼

《公共管理与政策评论》

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

2023

政府数字化转型的地方路径：基于“资源-压力”模型

王翔，黄钦

《中国行政管理》，No. 3

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2023

基于PMC指数模型的智慧城市政策量化评价与优化研究

王翔

《领导科学论坛》

2023

体制压力对地方政府数字人才诉求的结构化影响——基于政府数字化转型的背景

王翔，余霄

《电子政务》

2023

当代中国城市治理研究的诠释性研究路径

王翔

《复旦城市治理评论》

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

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

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

2022

“去精英化”抑或“再精英化”——“压力分摊”下人民陪审员选任的实践逻辑

王翔

《社会学研究》，Vol. 37, No. 6

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2022

大数据赋能的地方性差异——基于地方司法治理实践的比较分析

王翔

《中国行政管理》，No. 3

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2022

党建引领社区治理研究述评——基于CNKI的知识图谱研究

王翔，高红

《三晋基层治理》

2022

数字政府架构设计参考

王翔

《人民邮电出版社》

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

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

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

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

政法传统中的人民陪审:制度变迁与发展逻辑

王翔，于晓，虹王翔

《学术月刊》，Vol. 53, No. 7

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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

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

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

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qin-Ming He, Shou-Ling Ji

International Joint Conference on Artificial Intelligence

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

我国电子政务的内卷化：内涵、成因及其超越

王翔

《电子政务》

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

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

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

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

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

Smart Contract Vulnerability Detection using Graph Neural Network

Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qin-Ming He

International Joint Conference on Artificial Intelligence

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

流动公共服务:基本范畴、供给类型与运行实态

刘银喜，朱国伟，王翔

《中国行政管理》

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

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

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

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

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

大数据助力公共服务供给侧改革

王翔

《经济》

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

2014

社会转型时期我国公共服务市场化路径选择

王翔，程艺萍

《知识经济》

2011

User-Specific Video Summarization

Xiang Wang, Jing Chen, Cai-Zhi Zhu

2011 International Conference on Multimedia and Signal Processing

DOI

2008

电子政务环境中层级跨部门授权的研究

王翔

《信息安全与通信保密》

预印本

2026

Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics

Leheng Sheng, Wenchang Ma, Ruixin Hong, Xiang Wang, An Zhang, Tat-Seng Chua

arXiv preprint

2026

Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs

Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Guoyin Wang, Jiancan Wu, Xiang Wang, Xiangnan He

arXiv preprint

2026

Transport and Merge: Cross-Architecture Merging for Large Language Models

Chenhang Cui, Binyun Yang, Fei Shen, Yuxin Chen, Jingnan Zheng, Xiang Wang, An Zhang, Tat-Seng Chua

arXiv preprint

2026

Do LLMs and VLMs Share Neurons for Inference? Evidence and Mechanisms of Cross-Modal Transfer

Chenhang Cui, An Zhang, Yuxin Chen, Gelei Deng, Jingnan Zheng, Zhenkai Liang, Xiang Wang, Tat-Seng Chua

arXiv preprint

2026

When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning

Leheng Sheng, Yongtao Zhang, Wenchang Ma, Yaorui Shi, Ting Huang, Xiang Wang, An Zhang, Ke Shen, Tat-Seng Chua

arXiv preprint

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

Joint Optimization of Multi-agent Memory System

Wenyu Mao, Haoyang Liu, Haosong Tan, Yaorui Shi, Jiancan Wu, An Zhang, Xiang Wang

arXiv preprint

2026

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning

Yaorui Shi, Shugui Liu, Yu Yang, Wenyu Mao, Yuxin Chen, Qi GU, Hui Su, Xunliang Cai, Xiang Wang, An Zhang

arXiv preprint

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

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

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation

Jie Sun, Mao Zheng, Mingyang Song, Qiyong Zhong, Yilin Cheng, Bichuan Feng, Pengfei Liu, Junfeng Fang, Xiang Wang

arXiv preprint

2026

AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition

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

arXiv preprint

2026

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs

Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Xingyu Lu, Jun Zhou, Pengfei Liu, Lintao Ma, Jiancan Wu, 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

Tree-based Credit Assignment for Multi-Agent Memory System

Marina Mao, Alexandr Liu, Pengbo Li, Siheng Li, Bo Zhou, Xiang Wang

arXiv preprint

2026

Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts

Xiangtian Ji, Yuxin Chen, Zhengzhou Cai, Xiang Wang, An Zhang, Tat-Seng Chua

arXiv preprint

2026

OneReason Technical Report

OneRec Team, Biao Yang, Boyang Ding, Chenglong Chu, Dunju Zang, Fei Pan, Han Li, Hao Jiang, Honghui Bao, Huanjie Wang, Jian Liang, Jiangxia Cao, Jiao Ou, Jiaxin Deng, Jinghao Zhang, Kun Gai, Lu Ren, Peiru Du, Pengfei Zheng, Rongzhou Zhang, Ruiming Tang, Shiyao Wang, Siyang Mao, Siyuan Lou, Teng Shi, Wei Yuan, Wenlong Xu, Xingchen Liu, Xingmei Wang, Xinqi Jin, Yan Sun, Yan Wang, Yifei Hu, Yingzhi He, Yufei Ye, Yuhao Wang, Yunhao Zhou, Yuqin Dai, Zhao Liu, Zhipeng Wei, Zhixin Ling, Ziming Li, Zixing Zhang, Ziyuan Liu, An Zhang, Changxin Lao, Chaoyi Ma, Chengru Song, Defu Lian, Fan Yang, Guowang Zhang, Hao Peng, Jiayao Shen, Jie Chen, Jun Xu, Junmin Chen, Kun Zhang, Kuo Cai, Mingxing Wen, Minmao Wang, Minxuan Lv, Qi Zhang, Qiang Luo, Sheng Yu, Shijie Li, Shijie Yi, Shuang Yang, Shugui Liu, Shuni Chen, Tinghai Zhang, Tingting Gao, Xiang Wang, Xiangyu Wu, Xiangyu Zhao, Xiao Lv, Xiaoyou Zhou, Xuming Wang, Yong Du, Zejian Zhang, Zhaojie Liu, Zhiyang Zhang, Zhuang Zhuang, Ziqi Wang, Ziyi Zhao

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

SOD: Step-wise On-policy Distillation for Small Language Model Agents

Qiyong Zhong, Mao Zheng, Mingyang Song, Xin Lin, Jie Sun, Houcheng Jiang, Xiang Wang, Junfeng Fang

arXiv preprint

2026

An Early Warning of Emerging Biosecurity Risks in Frontier LLMs

Zhida He, Xia Hu, Baichen Le, Chunxiao Li, Jiajia Li, Lijun Li, Chaochao Lu, Jing Shao, Youbang Sun, Hua Tang, Xiang Wang, Xiao Wang, Xiaoyu Wen, Tong Wu, Jia Xu, Peng Yu, Shu Yu, Jie Zhang, Qiaosheng Zhang, Yi Zhang, Xing-Ming Zhao, Tianhang Zheng, Ziyuan Zhou

arXiv preprint

2026

Causal Retention in Interactive Agents: Interface Factorization and Selective Adaptation

Shengjun Zhang, Tingyi Liu, Dong Xie, Yunlong Dong, Xiang Wang, Cheng Zeng

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

Robust Preference Optimization via Dynamic Target Margins

Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang

arXiv preprint

2025

Reinforced Lifelong Editing for Language Models

Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang

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

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

LIMI: Less is More for Agency

Yang Xiao, Mohan Jiang, Jie Sun, Keyu Li, Jifan Lin, Yumin Zhuang, Ji Zeng, Shijie Xia, Qishuo Hua, Xuefeng Li, Xiaojie Cai, Tongyu Wang, Yue Zhang, Liming Liu, Xia Wu, Jinlong Hou, Yuan Cheng, Wenjie Li, Xiang Wang, Dequan Wang, Pengfei Liu

arXiv preprint

2025

Teaching Language Models to Reason with Tools

Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu

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

CoRT: Code-integrated Reasoning within Thinking

Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu

arXiv preprint

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

arXiv preprint

DOI

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

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

Addressing Missing Data Issue for Diffusion-based Recommendation

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

arXiv preprint

2025

Multi-Grained Patch Training for Efficient LLM-based Recommendation

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

arXiv preprint

2024

AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization

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

arXiv preprint

2024

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, Yunxin Liu

arXiv preprint

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

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai

arXiv preprint

2024

Position-aware Graph Transformer for Recommendation

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

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

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

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

arXiv preprint

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

arXiv preprint

DOI

2024

Reinforced Prompt Personalization for Recommendation with Large Language Models

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

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

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

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

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

Guoqing Hu, Zhengyi Yang, Zhibo Cai, An Zhang, Xiang Wang

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

BSL: Understanding and Improving Softmax Loss for Recommendation

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

arXiv preprint

2023

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss

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

arXiv preprint

2023

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation

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

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

LLaRA: Large Language-Recommendation Assistant

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

arXiv preprint

2023

On Generative Agents in Recommendation

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

arXiv preprint

2023

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

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

arXiv preprint

2023

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

arXiv preprint

2023

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation

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

arXiv preprint

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