Liangwei Yang

Liangwei Yang

Ph.D student in University of Illinois at Chicago

Big Data and Social Computing Lab (BDSC)

Biography

Glad to meet you here. Currently I am pursuing my Ph.D degree under the supervision of professor Philip S. Yu. Previously I accomplish my Master degree under the supervision of professor Hui Gao and Tao Zhou. I am always open to learn new things, and enjoy the procedure of every task. If you are an interesting person, and enjoy your life. Welcome to contact me~

Interests
  • Recommender System
  • Graph Neural Network
  • Artificial Intelligence
Education

  • Ph.D in Computer Science, Currently

    University of Illinois at Chicago

  • M.S. in Computer Science, 2020

    University of Electronic Science and Technology of China (UESTC)

  • B.S. in Electronic Science and Technology, 2017

    University of Electronic Science and Technology of China (UESTC)

Experience

 
 
 
 
 
Research Intern
Salesforce Research
May 2023 – Present Palo Alto
Working on multi-task training algorithm for recommender system
 
 
 
 
 
Research Assistant
University of Illinois at Chicago
Aug 2020 – Present Chicago

Research include:

  • Recommender System
  • Graph Neural Network
 
 
 
 
 
Research Intern
ByteDance Applied Machine Learning Group
May 2022 – Aug 2022 Chicago
Focuses on diversified recommendation using graph neural network and submodular function.
 
 
 
 
 
Research Assistant
University of Electronic Science and Technology of China
Sep 2017 – Jul 2020 Chengdu
Focuses on bioinformatics and graph model.

Recent Publications

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Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu (2023). Graph-based Village Level Poverty Identification. In WWW 2023.

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Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang (2023). DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. In WSDM 2023.

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Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu (2023). Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. In WSDM 2023.

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Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu (2022). MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. In IEEE BigData 2022.

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Jing Ma, Liangwei Yang, Zhineng Hu (2022). A Counterfactual Assessment of Poverty Alleviation Sustainability on Multiple Non-equivalent Household Groups. In Population Research and Policy Review.

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Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu (2022). ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. In CIKM 2022.

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Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu (2022). Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. In WWW2022.

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