Xiang Wang

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Xiangnan HeUniversity of Science and Technology of China, School of Data ScienceDirección de correo verificada de ustc.edu.cn
Tat-Seng ChuaNational University of SingaporeDirección de correo verificada de comp.nus.edu.sg
An ZhangResearch Fellow, National University of SingaporeDirección de correo verificada de nus.edu.sg
Jiancan WuUniversity of Science and Technology of ChinaDirección de correo verificada de ustc.edu.cn
Liqiang Nie, IAPR FellowHarbin Institute of Technology (Shenzhen)Dirección de correo verificada de hit.edu.cn
Fuli FengUniversity of Science and Technology of ChinaDirección de correo verificada de ustc.edu.cn
Meng Wang, IEEE Fellow, IAPR FellowHefei University of TechnologyDirección de correo verificada de hfut.edu.cn
Yixin CaoFudan UniversityDirección de correo verificada de fudan.edu.cn
Yancheng YuanAssistant Professor, The Hong Kong Polytechnic UniversityDirección de correo verificada de polyu.edu.hk
Richang HongHefei University of TechnologyDirección de correo verificada de hfut.edu.cn
Yunshan MaSingapore Management University, NUSDirección de correo verificada de smu.edu.sg
Yicong LiPhD Student, National University of SingaporeDirección de correo verificada de u.nus.edu
Hanwang Zhang (张含望）Associate Professor, CCDS, Nanyang Technological UniversityDirección de correo verificada de ntu.edu.sg
wenqiang leiNational University of SingaporeDirección de correo verificada de u.nus.edu
Xun YangDepartment of EEIS, University of Science and Technology of ChinaDirección de correo verificada de ustc.edu.cn
Long ChenAssistant Professor, Dept. of CSE, Hong Kong University of Science and TechnologyDirección de correo verificada de ust.hk
Jingjing ChenFudan UniversityDirección de correo verificada de my.cityu.edu.hk
Dingxian Wang

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Xiang Wang

Otros nombres王翔

University of Science and Technology of China

Dirección de correo verificada de ustc.edu.cn - Página principal

Trustworthy AI Graph Learning Recommendation Foundation Models Multimodal Models


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Lightgcn: Simplifying and powering graph convolution network for recommendation X He, K Deng, X Wang, Y Li, Y Zhang, M Wang Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020	3965	2020
Neural graph collaborative filtering X Wang, X He, M Wang, F Feng, TS Chua Proceedings of the 42nd international ACM SIGIR conference on Research and …, 2019	3419	2019
Kgat: Knowledge graph attention network for recommendation X Wang, X He, Y Cao, M Liu, TS Chua Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	2220	2019
Self-supervised graph learning for recommendation J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie Proceedings of the 44th international ACM SIGIR conference on research and …, 2021	1261	2021
Bias and debias in recommender system: A survey and future directions J Chen, H Dong, X Wang, F Feng, M Wang, X He ACM Transactions on Information Systems 41 (3), 1-39, 2023	941	2023
Explainable reasoning over knowledge graphs for recommendation X Wang, D Wang, C Xu, X He, Y Cao, TS Chua Proceedings of the AAAI conference on artificial intelligence 33 (01), 5329-5336, 2019	872	2019
Unifying knowledge graph learning and recommendation: Towards a better understanding of user preferences Y Cao, X Wang, X He, Z Hu, TS Chua The world wide web conference, 151-161, 2019	666	2019
MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video Y Wei, X Wang, L Nie, X He, R Hong, TS Chua Proceedings of the 27th ACM international conference on multimedia, 1437-1445, 2019	665	2019
Disentangled graph collaborative filtering X Wang, H Jin, A Zhang, X He, T Xu, TS Chua Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020	608	2020
Learning intents behind interactions with knowledge graph for recommendation X Wang, T Huang, D Wang, Y Yuan, Z Liu, X He, TS Chua Proceedings of the web conference 2021, 878-887, 2021	481	2021
Temporal relational ranking for stock prediction F Feng, X He, X Wang, C Luo, Y Liu, TS Chua ACM Transactions on Information Systems (TOIS) 37 (2), 1-30, 2019	444	2019
Outer product-based neural collaborative filtering X He, X Du, X Wang, F Tian, J Tang, TS Chua arXiv preprint arXiv:1808.03912, 2018	415	2018
A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation L Wu, X He, X Wang, K Zhang, M Wang IEEE Transactions on Knowledge and Data Engineering 35 (5), 4425-4445, 2022	405*	2022
Deep item-based collaborative filtering for top-n recommendation F Xue, X He, X Wang, J Xu, K Liu, R Hong ACM Transactions on Information Systems (TOIS) 37 (3), 1-25, 2019	353	2019
Smart contract vulnerability detection using graph neural networks Y Zhuang, Z Liu, P Qian, Q Liu, X Wang, Q He Proceedings of the Twenty-Ninth International Conference on International …, 2021	339	2021
Attentive moment retrieval in videos M Liu, X Wang, L Nie, X He, B Chen, TS Chua The 41st international ACM SIGIR conference on research & development in …, 2018	320	2018
Item silk road: Recommending items from information domains to social users X Wang, X He, L Nie, TS Chua Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017	310	2017
Contrastive learning for cold-start recommendation Y Wei, X Wang, Q Li, L Nie, Y Li, X Li, TS Chua Proceedings of the 29th ACM International Conference on Multimedia, 5382-5390, 2021	303	2021
Discovering invariant rationales for graph neural networks YX Wu, X Wang, A Zhang, X He, TS Chua arXiv preprint arXiv:2201.12872, 2022	284	2022
Tem: Tree-enhanced embedding model for explainable recommendation X Wang, X He, F Feng, L Nie, TS Chua Proceedings of the 2018 world wide web conference, 1543-1552, 2018	280	2018

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