Hi there, I am Zhanke Zhou, a second-year Ph.D. student at Trustworthy Machine Learning and Reasoning (TMLR) Group in the Department of Computer Science, Hong Kong Baptist University, advised by Dr. Bo Han.

My research interests lie in trustworthy machine reasoning with structural data and foundation models for solving complex problems and boosting scientific discoveries (e.g., math, biology, and chemistry).

Please feel free to email me for research, collaborations, or a casual chat.

📖 Educations

• 2022.09 - present, Hong Kong Baptist University (HKBU), Ph.D. in Computer Science.
• 2017.09 – 2021.06, Huazhong University of Science and Technology (HUST), B.E. in Electronics and Information Engineering (SeedClass).

📝 Selected Publications

* Co-first author, ✉️ Corresponding author.

• ICLR 2024 Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs.
  [paper] [code] [slides] [poster] [EN-video]
  Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han✉️.
• ICLR 2024 Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel.
  [paper] [code] [slides] [poster] [EN-video] [CN-video]
  Xuan Li*, Zhanke Zhou*, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han✉️.
• NeurIPS 2023 Combating Bilateral Edge Noise for Robust Link Prediction.
  [paper] [code] [slides] [poster] [EN-video] [CN-video] [CN-blog]
  Zhanke Zhou, Jiangchao Yao✉️, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han✉️.
• ICML 2023 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation.
  [paper] [code] [slides] [poster] [EN-video] [CN-video] [CN-blog]
  Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao✉️, Quanming Yao, Bo Han✉️.
• KDD 2023 Adaprop: Learning Adaptive Propagation for Graph Neural Network Based Knowledge Graph Reasoning.
  [paper] [code] [slides] [poster] [EN-video] [CN-video]
  Yongqi Zhang*, Zhanke Zhou*, Quanming Yao✉️, Xiaowen Chu, Bo Han.

🎖 Awards

• 2023.11, Research Excellence Award of HKBU.
• 2021.06, Honorary degree of HUST (Top 2%, highest honour for undergrad).
• 2021.06, Outstanding Graduate Award of HUST.

💬 Talks

• 2023.11, Seminar on Trustworthy Machine Learning with Imperfect Data @TechBeat, Online. [Video]
• 2023.11, Youth PhD Talk on Trustworthy Machine Learning @AI Time, Online. [Video]

💻 Services

• Conference Reviewer for ICML, NeurIPS, ICLR, AISTATS, ACML, AAAI, IJCAI, COLM, CIKM, SIGKDD.
• Journal Reviewer for TMLR, NEUNET, TNNLS.

🏫 Teaching

• Teaching Assistant for COMP7250: Machine Learning.
• Teaching Assistant for COMP3015: Data Communications and Networking.
• Teaching Assistant for COMP7070: Advanced Topics in Artificial Intelligence and Machine Learning.

📖 Experiences

• 2022.09 - present, PhD student @HKBU-TMLR Group, advised by Dr. Bo Han.
• 2022.02 - 2022.09, Research assistant @HKBU-TMLR Group, advised by Dr. Bo Han and Dr. Jiangchao Yao.
• 2021.01 - 2022.02, Research intern @THU-LARS Group, advised by Dr. Quanming Yao and Dr. Yongqi Zhang.
• 2020.06 - 2020.09, Research intern @SJTU-MVIG Group, advised by Dr. Cewu Lu and Dr. Yonglu Li.
• 2018.03 - 2021.01, Core Member @HUST-Dian Group, advised by Dr. Yayu Gao, Dr. Chengwei Zhang, and Dr. Xiaojun Hei.