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Hi there 👋 I am Zhanke Zhou (Andrew)

I am currently 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, and work closely with Dr. Quanming Yao.

My research interests lie in trustworthy machine learning, particularly in machine reasoning with structure data and foundation models, as well as its applications in scientific discoveries, e.g., math, biology, and chemistry. Please refer to my homepage for details. The image below inspires me a lot!

I am always open to possible collaborations. If you are interested, please do not hesitate to contact me!

Zhanke Zhou's Projects

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[KDD 2023] AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning

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A collection of useful .gitignore templates

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KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning" (ACL 2022 long paper)

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[ICML 2023] On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation

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[ICLR 2024] "Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs"

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[NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction

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