ZIWEI ZHANG

This is the homepage of ZIWEI ZHANG 张子威, a postdoc researcher in the Department of Computer Science and Technology, Tsinghua University, working with Prof. Wenwu Zhu, Prof. Peng Cui, and Prof. Xin Wang. If you want to reach me, feel free to drop me an email.

News

  • [Dec 2021] One paper is accepted by AAAI 2022! (Paper)
  • [Oct 2021] One paper is accepted by NeurIPS 2021! (Paper)
  • [Sep 2021] Our paper Eigen-GNN is accepted by TKDE!
  • [Aug 2021] I gave a tutorial on automated machine learning on grapha in KDD 2021 together with Prof. Xin Wang and Prof. Wenwu Zhu. (Slides)
  • [Nov 2020] We have opensourced AutoGL, a toolkit and platform towards automatic machine learning on graphs. Feel free to have a try and give us feedbacks!

Biography

Ziwei Zhang received his Ph.D. from the Department of Computer Science and Technology, Tsinghua University, in 2021. He is currently a postdoc researcher in the Department of Computer Science and Technology at Tsinghua University. His research interests focus on machine learning on graphs, including graph neural network (GNN) and network embedding (a.k.a. network representation learning). He has published over a dozen papers in prestigious conferences and journals, including KDD, AAAI, IJCAI, and TKDE.

Publications

  • Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu. Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum. AAAI, 2022.(Paper)
  • Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu. Disentangled Contrastive Learning on Graphs. NeurIPS, 2021.(Paper)
  • Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu. Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. TKDE, 2021.(Paper)
  • Haoxin Liu*, Ziwei Zhang*, Peng Cui, Yafeng Zhang, Qiang Cai, Jiashuo Liu, Wenwu Zhu. Signed Graph Neural Network with Latent Groups. KDD, 2021. (Full Paper, acceptance rate 20.5%, *: equal contribution) (Paper)
  • Ziwei Zhang, Xin Wang, Wenwu Zhu. Automated Machine Learning on Graphs: A Survey. IJCAI 2021. (Survey track) (Paper)
  • Chaoyu Guan*, Ziwei Zhang*, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu. AutoGL: A Library for Automated Graph Learning. ICLR 2021 GTRL Workshop. (*: equal contribution) (Paper)
  • Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin. Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network. IEEE Transactions on Big Data, 2021.(Paper)
  • Ziwei Zhang, Peng Cui, Wenwu Zhu. Deep Learning on Graphs: A Survey. TKDE, 2020. (Paper) (Link)
  • Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu. Intention-aware Sequential Recommendation with Structured Intent Transition. TKDE, 2021. (Paper)
  • Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu. Robust Graph Convolutional Networks against Adversarial Attacks. KDD, 2019. (Full Paper, Oral, acceptance rate 9.1%) (Page) (Paper) (Code)
  • Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu. Billion-scale Network Embedding with Iterative Random Projection. ICDM, 2018. (Full Paper, Oral, acceptance rate 8.9%) (Page) (Paper) (Code) (Slides)
  • Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu. Arbitrary-Order Proximity Preserved Network Embedding. KDD, 2018. (Full Paper, Oral, acceptance rate 10.8%) (Page) (Paper) (Code) (Slides)
  • Xiao Wang*, Ziwei Zhang*, Jing Wang, Peng Cui, Shiqiang Yang. Power-law Distribution Aware Trust Prediction. IJCAI, 2018. (Full Paper, Oral, acceptance rate 20.5%,*: equal contribution) (Page) (Paper) (Code)
  • Dingyuan Zhu, Peng Cui, Ziwei Zhang, Jian Pei, Wenwu Zhu. High-order Proximity Preserved Embedding for Dynamic Networks. TKDE, 2018. (SCI IF =3.9) (Page) (Paper) (Code)
  • Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu. TIMERS: Error-Bounded SVD Restart on Dynamic Networks. AAAI, 2018. (Full Paper, Oral, acceptance rate 11%) (Page) (Paper) (Code) (Slides)
  • Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu. Asymmetric Transitivity Preserving Graph Embedding. KDD, 2016. (Full Paper, Oral, acceptance rate 8.9%) (Page) (Paper) (Code) (Slides)

Preprints

  • Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu. A Simple and General Graph Neural Network with Stochastic Message Passing. arXiv:2009.02562 (paper)

Professional Activities

Conference Reviewer: CIKM 2019, NeurIPS 2020, ICLR 2021, KDD 2021, AAAI 2021, IJCAI 2021, ICML 2021

Journal Reviewer: IEEE Trans. on Knowledge and Data Engineering (TKDE), Journal of Machine Learning Research (JMLR), IEEE Trans. on Neural Networks and Learning Systems (TNNLS), IEEE Trans. on Cybernetics (CYB), IEEE Trans. on Computational Social Systems (TCSS)

Experiences

  • Jul 2019 - Sep 2019, Intern, Innovation Center, Weichai Power
    • Investigate and literature survey how on to apply machine learning in Weichai Power.
  • Jul 2018 - Oct 2018, Intern, Data Application Team, WeChat Group (WXG), Tencent
    • Work on topics related to applying network embedding into analyzing WeChat data.

Awards

  • 2021 Outstanding Doctoral Graduate in Tsinghua University (top 3 in the department)
  • 2021 Outstanding Doctoral Dissertation in Tsinghua University (top 7 in the department)
  • 2021 Baidu’s Global Top 100 Chinese Rising Stars in AI
  • 2020 Outstanding TA awards
  • 2020 Qidong Scholarship
  • 2019 Student Travel Award: KDD
  • 2019 Best Oral Presentation, Tsinghua Ph.D. Students Forum
  • 2018 Student Travel Awards: AAAI, ICDM
  • 2018 National Scholarship

Media Coverage

  • Dec 2020, AutoGL toolkit is reported by Jiqizhixin and The Paper with more than 23 thousand reads in total
  • Dec 2018, Deep Learning on Graphs Survey is reported by multiple WeChat Official Accounts with more than 22 thousand reads in total