About

I'm currently a second-year Ph.D. student at Department of Computer Science and Engineering in Chinese Univeristy of HongKong advised by Prof. Irwin King.

My research generally focuses on developing machine learning algorithms applied to graph-structured data. I have worked on developing generalized graph neural networks that are scalable to web-scale datasets, with applications in recommender systems, NLP and IR system. I'm also interested in deep generative models for graphs and privacy-preserved machine learning.

Prior to my PhD, I obtained my M.S. (Computer Science) and B.E. (Electronics Engineering) from the Australia National University and ZhengZhou University, respectively.I have also worked as Senior Applied Machine Learning Engineer at Alibaba Group and JD.com.

News

  • 2022 May: Two papers has been accepted in the KDD'22
  • 2021 Dec: Our paper "Graph-adpative Rectified Linear Unit for Graph Neural Networks" has been accepted in the WWW'22
  • 2021 April: Our paper "Semi-supervised Multi-label Learning for Graph-structured Data" has been accepted in the CIKM'21
  • 2020 Aug: Left Alibaba Group and start Ph.D. at The Chinese Univeristy of HongKong

Publication

Preprints and Workshop

  • Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. [PDF]
    Chen, Y., Zhang, Y., Zhang, Y., Guo, H., Li, J., Tang, R., He, X. and King, I.
    arXiv preprint.
  • Additively homomorphical encryption based deep neural network for asymmetrically collaborative machine learning. [PDF]
    Zhang, Y. and Zhu, H.
    In IJCAI 2019 Workshop on Federated Learning, (IJCAI'19).
    Solutions have been included in FATE , an industry level open source library for federated learning. See this for detial.

Conference

  • COSTA: Covariance Preserved Feature Augmentation for Graph Contrastive Learning.[PDF][CODE][BLOG]
    Zhang, Y., Zhu, H., Song, Z., Koniusz, P. and King, I.
    In Proceedings of Sigkdd Conference on Knowledge Discovery and Data Minning, (KDD'22).
  • Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification.[PDF]
    Song, Z., Zhang, Y., and King, I.
    In Proceedings of Sigkdd Conference on Knowledge Discovery and Data Minning, (KDD'22).
  • Graph-adpative Rectified Linear Unit for Graph Neural Networks.[PDF][CODE][BLOG]
    Zhang, Y., Zhu, H., Song, Z., Koniusz, P. and King, I.
    In Proceedings of The Web Conference 2022, (WWW'22).
  • Semi-supervised Multi-label Learning for Graph-structured Data.[PDF]
    Song, Z., Meng, Z., Zhang, Y., & King, I.
    In Proceedings of International Conference on Information & Knowledge Management, (CIKM'21).
  • Discrete Wasserstein Autoencoders for Document Retrieval.[PDF]
    Zhang, Y., Zhu, H.
    In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, (ICASSP'20).
  • Doc2hash: Learning Discrete Latent variables for Documents Retrieval.[PDF]
    Zhang, Y., Zhu, H.
    In Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, (NAACL'20).
  • #DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 US Presidential Debate.[PDF]
    Rizoiu, M. A., Graham, T., Zhang, R., Zhang, Y., Ackland, R., Xie, L.
    In Twelfth International AAAI Conference on Web and Social Media,(ICWSM'20).

Experience

  • 2019.05 - 2020.08, Senior Applied Machine Learning Engineer (Full-Time), Alibaba Group, Hangzhou, China.
  • 2018.07 - 2019.05, Applied Machine Learning Engineer (Full-Time), JD.com, Beijing, China
  • 2016.07 - 2017.02, Research Intern, Data61, Canberra, Australian

Selected Honors and Awards

  • Hong Kong Postgraduate Studentships Award (CUHK), Autumn 2020
  • CECS Dean’s List(ANU), Autumn 2018
  • Notional Scholarship Award (ZZU), Autumn 2015

Teaching

At CUHK, I work as a teaching assistant for the following undergraduate courses:
  • CSCI3150: Computer Science and Society, Spring 2022
  • CSCI5650: Graph Neural Networks (Graduated-Level Course), Autumn 2021
  • CSCI3150: Computer Science and Society, Spring 2021
  • CSCI1130: Introduction to Computing Using Java, Autumn 2022