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ORCIDXiang Wang 0010
Person information
- affiliation: National University of Singapore, School of Computing, Singapore
Other persons with the same name
- Xiang Wang — disambiguation page
- Xiang Wang 0001 — IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Xiang Wang 0002 — Tsinghua University, School of Software, Beijing, China
- Xiang Wang 0003
![[0000-0002-4903-4960]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4903-4960")
— Tsinghua University, Department of Electronic Engineering, Beijing, China - Xiang Wang 0004 — Xiamen University of Technology, Department of Mechanical and Electrical Engineering, China
- Xiang Wang 0005 — Nankai University, Tianjin, China
- Xiang Wang 0006 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Xiang Wang 0007 — The University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
- Xiang Wang 0008 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Xiang Wang 0009 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China (and 1 more)
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2020 – today
- 2022
[i27]Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. CoRR abs/2201.05349 (2022)- 2021
- [c32]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. KDD 2021: 1717-1725 - [c31]Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. ACM Multimedia 2021: 5382-5390 - [c30]Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He:
Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. RecSys 2021: 825-827 - [c29]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. SIGIR 2021: 726-735 - [c28]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW 2021: 878-887 - [i26]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR abs/2102.07057 (2021) - [i25]An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen:
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. CoRR abs/2104.05527 (2021) - [i24]Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang:
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. CoRR abs/2104.13030 (2021) - [i23]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. CoRR abs/2105.10648 (2021) - [i22]Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. CoRR abs/2107.05315 (2021) - [i21]Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He:
Exploring Lottery Ticket Hypothesis in Media Recommender Systems. CoRR abs/2108.00944 (2021) - [i20]Yuyue Zhao, Xiang Wang, Jiawei Chen, Wei Tang, Yashen Wang, Xiangnan He, Haiyong Xie:
Time-aware Path Reasoning on Knowledge Graph for Recommendation. CoRR abs/2108.02634 (2021) - [i19]Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network forMultimedia Recommendation. CoRR abs/2110.14925 (2021) - [i18]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. CoRR abs/2111.02036 (2021) - 2020
- [j9]Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
MGAT: Multimodal Graph Attention Network for Recommendation. Inf. Process. Manag. 57(5): 102277 (2020) - [j8]Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. Inf. Process. Manag. 57(6): 102076 (2020) - [j7]Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen:
Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. IEEE Trans. Image Process. 29: 1-14 (2020) - [c27]Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua:
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. AAAI 2020: 10542-10550 - [c26]Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang:
Bilinear Graph Neural Network with Neighbor Interactions. IJCAI 2020: 1452-1458 - [c25]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020: 2073-2083 - [c24]Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, Tat-Seng Chua:
How to Learn Item Representation for Cold-Start Multimedia Recommendation? ACM Multimedia 2020: 3469-3477 - [c23]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. ACM Multimedia 2020: 3541-3549 - [c22]Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. SIGIR 2020: 159-168 - [c21]Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yong-Dong Zhang, Meng Wang:
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. SIGIR 2020: 639-648 - [c20]Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. SIGIR 2020: 1001-1010 - [c19]Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. WSDM 2020: 890-893 - [c18]Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. WWW 2020: 99-109 - [i17]Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang:
Graph Convolution Machine for Context-aware Recommender System. CoRR abs/2001.11402 (2020) - [i16]Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang:
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. CoRR abs/2002.02126 (2020) - [i15]Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang:
Bilinear Graph Neural Network with Node Interactions. CoRR abs/2002.03575 (2020) - [i14]Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. CoRR abs/2003.05753 (2020) - [i13]Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. CoRR abs/2005.12566 (2020) - [i12]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. CoRR abs/2007.00194 (2020) - [i11]Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. CoRR abs/2007.01764 (2020) - [i10]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. CoRR abs/2010.03240 (2020) - [i9]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. CoRR abs/2010.10783 (2020)
2010 – 2019
- 2019
- [j6]Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, Baoquan Chen:
Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning. IEEE Trans. Image Process. 28(3): 1235-1247 (2019) - [j5]Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction. ACM Trans. Inf. Syst. 37(2): 27:1-27:30 (2019) - [j4]Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong:
Deep Item-based Collaborative Filtering for Top-N Recommendation. ACM Trans. Inf. Syst. 37(3): 33:1-33:25 (2019) - [c17]Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI 2019: 5329-5336 - [c16]Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. CIKM 2019: 2971-2972 - [c15]Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation. KDD 2019: 950-958 - [c14]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua:
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. ACM Multimedia 2019: 1437-1445 - [c13]Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua:
Neural Graph Collaborative Filtering. SIGIR 2019: 165-174 - [c12]Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua:
Interpretable Fashion Matching with Rich Attributes. SIGIR 2019: 775-784 - [c11]Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua:
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. WWW 2019: 151-161 - [i8]Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua:
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. CoRR abs/1902.06236 (2019) - [i7]Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation. CoRR abs/1905.07854 (2019) - [i6]Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua:
Neural Graph Collaborative Filtering. CoRR abs/1905.08108 (2019) - 2018
- [c10]Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua:
Outer Product-based Neural Collaborative Filtering. IJCAI 2018: 2227-2233 - [c9]Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, Tat-Seng Chua:
Cross-modal Moment Localization in Videos. ACM Multimedia 2018: 843-851 - [c8]Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua:
Attentive Moment Retrieval in Videos. SIGIR 2018: 15-24 - [c7]Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu:
A Personal Privacy Preserving Framework: I Let You Know Who Can See What. SIGIR 2018: 295-304 - [c6]Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
TEM: Tree-enhanced Embedding Model for Explainable Recommendation. WWW 2018: 1543-1552 - [i5]Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua:
Outer Product-based Neural Collaborative Filtering. CoRR abs/1808.03912 (2018) - [i4]Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction. CoRR abs/1809.09441 (2018) - [i3]Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong:
Deep Item-based Collaborative Filtering for Top-N Recommendation. CoRR abs/1811.04392 (2018) - [i2]Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. CoRR abs/1811.04540 (2018) - 2017
- [j3]Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang:
Data-Driven Answer Selection in Community QA Systems. IEEE Trans. Knowl. Data Eng. 29(6): 1186-1198 (2017) - [j2]Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua:
Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency. ACM Trans. Inf. Syst. 36(1): 4:1-4:26 (2017) - [c5]Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian:
Enhancing Micro-video Understanding by Harnessing External Sounds. ACM Multimedia 2017: 1192-1200 - [c4]Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Item Silk Road: Recommending Items from Information Domains to Social Users. SIGIR 2017: 185-194 - [c3]Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua:
Computational Social Indicators: A Case Study of Chinese University Ranking. SIGIR 2017: 455-464 - [i1]Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Item Silk Road: Recommending Items from Information Domains to Social Users. CoRR abs/1706.03205 (2017) - 2016
- [c2]Jingyuan Chen, Xuemeng Song, Liqiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua:
Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model. ACM Multimedia 2016: 898-907 - [c1]Jianglong Zhang, Liqiang Nie, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
Shorter-is-Better: Venue Category Estimation from Micro-Video. ACM Multimedia 2016: 1415-1424 - 2013
- [j1]Xiang Wang, Yan Li, Lin Dai:
On Hermitian and skew-Hermitian splitting iteration methods for the linear matrix equation AXB=C. Comput. Math. Appl. 65(4): 657-664 (2013)
Coauthor Index
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