Wentao Ning (宁文韬)

Ph.D. Candidate


Department of Computer Science
The University of Hong Kong
Pokfulam Road, Hong Kong

Email: nwt9981@connect.hku.hk

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Wentao Ning 

About me

My name is Wentao Ning. I am a final-year PhD candidate in the Department of Computer Science, The University of Hong Kong (HKU) from Sep. 2020, supervised by Prof. Reynold Cheng and Prof. Bo Tang. I am a member of HKU STAR Lab and DBGroup@SUSTech.

Before that, I received my BEng degree from the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech) in July, 2020.

My research mainly focuses on the area of machine learning and data mining, especially recommender systems.

Publications

  1. Debiasing Recommendation with Personal Popularity.
    Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang
    In The Web Conference (WWW), 2024. [pdf]

  2. HINCare: An Intelligent Helper Recommender System for Elderly Care.
    Carrie Wang, Wentao Ning, Xiaoman Wu, Reynold Cheng
    In The Web Conference (WWW), 2024. [pdf]

  3. ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model.
    Nan Huo, Reynold Cheng, Ben Kao, Wentao Ning, Nur Al Hasan Haldar, Xiaodong Li, Jinyang Li, Mohammad Matin Najafi, Tian Li, Ge Qu
    In 50th International Conference on Very Large Data Bases (VLDB), 2024. [pdf]

  4. Multi-domain Recommendation with Embedding Disentangling and Domain Alignment.
    Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang
    In 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023. [pdf]

  5. Automatic Meta-Path Discovery for Effective Graph-Based Recommendation.
    Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Xiao Yan, Nan Huo, Tian Li, Wai Kit Lam, Bo Tang
    In 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022. [pdf]

  6. The Social Technology and Research (STAR) Lab in the University of Hong Kong.
    Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liu, Victor Y.L. Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao
    ACM SIGMOD Record, 2022. [pdf]

  7. Towards Efficient MaxBRNN Computation for Streaming Updates.
    Wentao Ning, Xiao Yan, Bo Tang
    In 37th IEEE International Conference on Data Engineering (ICDE), 2021. [pdf]

  8. CheetahVIS: A Visual Analytical System for Large Urban Bus Data.
    Wentao Ning, Qiandong Tang, Yi Zhao, Chuan Yang, Xiaofeng Wang, Teng Wang, Haotian Liu, Chaozu Zhang, Zhiyuan Zhou, Qiaomu Shen, Bo Tang
    In 46th International Conference on Very Large Data Bases (VLDB), 2020. [pdf]

Internships

Awards



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