Hongwei Wang Senior Researcher Tencent AI Lab Seattle Email: hongweiw@tencent.com CV • Google Scholar • GitHub • LinkedIn • Zhihu

Bio

• Hongwei Wang is now a senior researcher at Tencent AI Lab Seattle. His research interests include applied machine learning for natural language processing and interconnected systems. For example, large language models, retrieval augmented generation, information retrieval, representation learning, knowledge graphs, recommender systems, and social networks.
• Hongwei Wang received Ph.D. degree from Department of Computer Science, Shanghai Jiao Tong University in 2018, and B.E. degree from ACM Class, Shanghai Jiao Tong University in 2014 (with minor in Finance). He was a postdoctoral researcher at Stanford University from 2019 to 2021 and University of Illinois Urbana-Champaign from 2021 to 2022. He was one of the recipients of 2020 CCF (China Computer Federation) Outstanding Doctoral Dissertation Award and 2018 Google Ph.D. Fellowship.

News

• [01/21/2022] I give a talk "Knowledge Graph Enhanced Recommender Systems" at Coupang.
• [01/20/2022] One paper is accepted by ICLR 2022: Chemical-Reaction-Aware Molecule Representation Learning.
• [11/29/2021] One paper is accepted by TOIS (ACM Transactions on Information Systems): Combining Graph Convolutional Neural Networks and Label Propagation.

Selected Publications

2022

Chemical-Reaction-Aware Molecule Representation Learning.
Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Jiawei Han, Martin D Burke, Heng Ji
International Conference on Learning Representations (ICLR), 2022.
[Paper] [arXiv] [Code]

2021

Combining Graph Convolutional Neural Networks and Label Propagation.
Hongwei Wang, Jure Leskovec.
ACM Transactions on Information Systems (TOIS), 2021.
[Paper] [Code]

Relational Message Passing for Knowledge Graph Completion.
Hongwei Wang, Hongyu Ren, Jure Leskovec.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.
[Paper] [arXiv] [Code]

2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.
Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019.
[Paper] [arXiv] [Code]

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo.
The Web Conference (WWW), 2019.
[Paper] [arXiv] [Code]

2018

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo.
ACM Conference on Information and Knowledge Management (CIKM), 2018.
[Paper] [arXiv] [Code]

DKN: Deep Knowledge-Aware Network for News Recommendation.
Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo.
The Web Conference (WWW), 2018.
[Paper] [arXiv] [Code]

GraphGAN: Graph Representation Learning with Generative Adversarial Nets.
Hongwei Wang, Jia Wang, Jialin Wang, Weinan Zhang, Miao Zhao, Fuzheng Zhang, Xing Xie, Minyi Guo.
AAAI Conference on Artificial Intelligence (AAAI), 2018.
[Paper] [arXiv] [Code]

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu.
ACM Conference on Web Search and Data Mining (WSDM), 2018.
[Paper] [arXiv]

2017

Joint Topic-Semantic-aware Social Recommendation for Online Voting.
Hongwei Wang, Jia Wang, Miao Zhao, Jiannong Cao, Minyi Guo.
ACM Conference on Information and Knowledge Management (CIKM), 2017.
[Paper] [arXiv] [Code]

Misc.

• I am a cinephile. Some of my favorite directors are Ang Lee, Quentin Tarantino, Stanley Kubrick, Alfred Hitchcock, and Steven Spielberg. I also like writing reviews.
• I am a fan of Chinese classical poetry. I used to write one when I was in the first year of PhD, after my mom saw me off at the station: