Xiang Wang is now a research fellow in NExT++, School of Computing, National University of Singapore. His research interests include information retrieval, data mining, and explainable AI, particularly in recommender systems, graph learning, and social media analysis. Moreover, he has served as the PC member for top-tier conferences including SIGIR and MM, and the invited reviewer for prestigious journals including TKDE, TOIS, TKDD, and TIST.

First-Author Publications Google Scholar

In the Year of 2021:

pdf	Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He & Tat-Seng Chua WWW 2021 (Full, Accept rate: 20.6%)   • arXiv    • Codes    • Slides

In the Year of 2020:

pdf	Disentangled Graph Collaborative Filtering Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu & Tat-Seng Chua SIGIR 2020 (Full, Accept rate: 26%)   • arXiv    • Codes    • Slides

pdf	Reinforced Negative Sampling over Knowledge Graph for Recommendation Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang & Tat-Seng Chua WWW 2020 (Full, Accept rate: 19%)   • arXiv    • Codes    • Slides

In the Year of 2019:

pdf	KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu & Tat-Seng Chua KDD 2019 (Full, Accept rate: 14.2%)   • arXiv    • Codes    • Slides

pdf	Neural Graph Collaborative Filtering Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng & Tat-Seng Chua SIGIR 2019 (Full, Accept rate: 20%)   • arXiv    • Codes    • Slides

pdf	Explainable Reasoning over Knowledge Graph Paths for Recommendation Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao & Tat-Seng Chua AAAI 2019 (Full, Accept rate: 16.2%)   • arXiv    • Codes    • Slides

In the Year of 2018:

pdf	TEM: Tree-enhanced Embedding Model for Explainable Recommendation Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie & Tat-Seng Chua WWW 2018 (Accept rate: 14.8%)   • Codes    • Slides

In the Year of 2017:

pdf	Item Silk Road: Recommending Items from Information Domains to Social Users Xiang Wang, Xiangnan He, Liqiang Nie & Tat-Seng Chua SIGIR 2017 (Accept rate: 22%)   • Codes    • Slides

pdf	Unifying Virtual and Physical Worlds: Learning towards Local and Global Consistency Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang & Tat-Seng Chua ACM Transactions on Information Systems (TOIS)   • Codes    • Slides

Look for the full publication list? Please see my CV or visit Google Scholar.

Tutorials

pdf	Bias Issues and Solutions in Recommender System Jiawei Chen, Xiang Wang, Fuli Feng & Xiangnan He WWW 2021    Slides (2021/04)

pdf	Learning and Reasoning on Graph for Recommendation Xiang Wang, Xiangnan He & Tat-Seng Chua WSDM 2020    Slides (2020/01 @ Houston, Texas, US)

pdf	Learning and Reasoning on Graph for Recommendation Xiang Wang, Xiangnan He & Tat-Seng Chua CIKM 2019    Slides (2019/11 @ Beijing, China)

Honors

Dean’s Graduate Research Excellence Award,   June 2018    - School of Computing, National University of Singapore

Research Achievement Award,   June 2017    - School of Computing, National University of Singapore

Full Research Scholarship,   2014-2019    - National University of Singapore

Excellent Graduates,   May 2014    - Beihang University, China

National Scholarship (top scholarship for Chinese undergraduates),   December 2013    - Beihang University, China

Invited Talks

Explainable Reasoning over Knowledge Graph Paths for Recommendation    - Shandong University, Augest 11, 2018 (invited by Prof. Nie Liqiang)

TEM: Tree-enhanced Embedding Model for Explainable Recommendation    - 6estate Company, Singapore, October 11, 2018 (invited by Dr. Luan Huanbo & Dr. Wang Chao) - WWW 2018, Lyon, France, April 26, 2018

Item Silk Road: Recommending Items from Information Domains to Social Users    - Shandong University, May 20, 2017 (invited by Prof. Nie Liqiang) - SIGIR 2017, Tokyo, Japan, August 5, 2017

Professional Services

Program Committee Member of KDD (2021) Program Committee Member of WWW (2020,2021) Program Committee Member of ACM SIGIR (2019,2020,2021) Program Committee Member of ACM MM (2019,2020) Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE) Invited Reviewer for ACM Transactions on Information Systems (TOIS) Invited Reviewer for ACM Transactions on Intelligent Systems and Technology (TIST) Invited Reviewer for ACM Transactions on Knowledge Discovery from Data (TKDD) Invited Reviewer for Information Sciences Invited Reviewer for Neurocomputing Invited Reviewer for Frontiers of Computer Science Invited Reviewer for World Wide Web Journal (WWWJ) Invited Reviewer for Multimedia Systems Journal (MMSJ) External Reviewer of SIGIR 2016-2018, WWW 2017-2019.

Useful Links

NUS CS Conference Rankings

NUS CS Journal Ranking

NUS CS Courses

Machine Learning Reading List

Deep Learning Reading List

Last update: May 1, 2019. Webpage template borrows from Xiangnan He.