王翔｜成都信息工程大学｜学者主页

2026

开放政府理论视角下的信息感知与安全建构

王翔

《暨南学报(哲学社会科学版)》，Vol. 48, No. 3

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2026

科层制的数字化转型：信息秩序的重塑与变革

王翔，张小劲

《经济社会体制比较》，No. 3

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2026

西南铁路雷电灾害风险预警体系研究

何兴潼，宋怡轩，罗再潜，曾娜，王翔

《农业灾害研究》

2026

基于不同历时的泸县主城区暴雨强度研究

曾娜，何兴潼，王翔，谭贵蓉，赵若雷

《气象水文海洋仪器》

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

看四川气象为农服务新风向

赵欣，贾桂兰，何晓芳，孙川，王翔，文科

《中国气象报》

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

气象灾害对泸州乡村可持续脱贫的影响

王翔，曾娜，何兴潼，崔甲

《农业工程技术》

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

诉源治理的全球视野：比较经验与中国反思

王翔

《经济社会体制比较》，No. 4

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2023

中国气象局与重庆市政府签订共同推动气象高质量发展合作备忘录

王翔，蒲希，任俊

《中国气象报》

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

乡镇区域生态环境气象指标初探

杨元建，孔俊松，吴必文，石春娥，孙怡，宋佑之，盛绍学，王翔，何彬方，宋卫恒，王德山

《气象科技》

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

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

2014

泸州龙眼主要气象灾害特征及其与产量的灰色关联分析

王翔，武伟，上官昌贵，黄晚华

《湖南农业科学》

DOI

2012

雷达波束传播路径精确定位与地形对波束的阻挡计算

王翔，沈铁元，杨洪平，彭涛

《沙漠与绿洲气象》

2011

User-Specific Video Summarization

Xiang Wang, Jing Chen, Cai-Zhi Zhu

2011 International Conference on Multimedia and Signal Processing

DOI

精选作品

期刊论文

开放政府理论视角下的信息感知与安全建构

科层制的数字化转型：信息秩序的重塑与变革

西南铁路雷电灾害风险预警体系研究

基于不同历时的泸县主城区暴雨强度研究

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

“引流”抑或“替代”：政务社交媒体的公众参与效应

“沟通即治理”：政治传播能力如何塑造开放政府建设

看四川气象为农服务新风向

迈向数字法治政府：开放政府视角下的公民法治满意度

气象灾害对泸州乡村可持续脱贫的影响

Rule-Guided Counterfactual Explainable Recommendation

ToDA: Target-oriented Diffusion Attacker against Recommendation System

诉源治理的全球视野：比较经验与中国反思

中国气象局与重庆市政府签订共同推动气象高质量发展合作备忘录

LightGT: A Light Graph Transformer for Multimedia Recommendation

Self-Supervised Learning for Multimedia Recommendation

Discovering Spatio-Temporal Rationales for Video Question Answering

Cooperative Explanations of Graph Neural Networks

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation

Strategy-aware Bundle Recommender System

Invariant Collaborative Filtering to Popularity Distribution Shift

Redundancy-aware Transformer for Video Question Answering

GIF: A General Graph Unlearning Strategy via Influence Function

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts

Causal Inference for Knowledge Graph Based Recommendation

Let Invariant Rationale Discovery Inspire Graph Contrastive Learning

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering

Self-Supervised Learning for Recommendation

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

Equivariant and Invariant Grounding for Video Question Answering

Reinforced Causal Explainer for Graph Neural Networks

Cross Pairwise Ranking for Unbiased Item Recommendation

Self-Supervised Learning for Recommender System

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift

Invariant Grounding for Video Question Answering

Training Free Graph Neural Networks for Graph Matching

Discovering Invariant Rationales for Graph Neural Networks

Deconfounding to Explanation Evaluation in Graph Neural Networks

Graph Neural Networks for Recommender System

On the Effectiveness of Sampled Softmax Loss for Item Recommendation

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

Towards Multi-Grained Explainability for Graph Neural Networks

Causal Attention for Interpretable and Generalizable Graph Classification

Deconfounded Training for Graph Neural Networks

Contrastive Learning for Cold-Start Recommendation

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

Deconfounded Recommendation for Alleviating Bias Amplification

Time-aware Path Reasoning on Knowledge Graph for Recommendation

Exploring lottery ticket hypothesis in media recommender systems

Learning Intents behind Interactions with Knowledge Graph for Recommendation

Hierarchical User Intent Graph Network for Multimedia Recommendation

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

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

Reinforced Negative Sampling over Knowledge Graph for Recommendation

Disentangled Graph Collaborative Filtering

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding

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

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Bilinear Graph Neural Network with Neighbor Interactions

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation

Self-supervised Graph Learning for Recommendation

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

Graph convolution machine for context-aware recommender system

Interactive Path Reasoning on Graph for Conversational Recommendation

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

Learning and Reasoning on Graph for Recommendation

Neural Graph Collaborative Filtering

Interpretable Fashion Matching with Rich Attributes

KGAT: Knowledge Graph Attention Network for Recommendation

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

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

TEM: Tree-enhanced Embedding Model for Explainable Recommendation

Cross-modal Moment Localization in Videos

Attentive Moment Retrieval in Videos

Explainable Reasoning over Knowledge Graphs for Recommendation

Outer Product-based Neural Collaborative Filtering

Deep Item-based Collaborative Filtering for Top-N Recommendation