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AndrewZhou924/README.md

Hi there 👋 I am Zhanke Zhou (Andrew)

I am currently a 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 learning, particularly in machine reasoning with structure data and foundation models, as well as its applications in solving complex problems (e.g., searching and planning) and boosting 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!

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  1. tmlr-group/DeepInception tmlr-group/DeepInception Public

    [arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

    Python 120 11

  2. Awesome-model-inversion-attack Awesome-model-inversion-attack Public

    A curated list of resources for model inversion attack (MIA).

    134 8

  3. MC-GRA MC-GRA Public

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

    Python 24 2

  4. RGIB RGIB Public

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

    Python 10 2

  5. LARS-research/AdaProp LARS-research/AdaProp Public

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

    Python 19 3

  6. LARS-research/KGTuner LARS-research/KGTuner Public

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

    Python 19 1