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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 focuses on trustworthy machine reasoning with foundation models to solve complex problems such as mathematics, coding, and planning, as well as to accelerate scientific discovery and application in fields like biology, chemistry, and healthcare.

I believe that reasoning is the essential pathway to achieving AGI. Trustworthy machine reasoning encompasses properties such as reasoning power, robustness, safety, and explainability. My work involves developing methodologies, benchmarks, and theoretical foundations to advance these areas.

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 135 13

  2. tmlr-group/NoisyRationales tmlr-group/NoisyRationales Public

    [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"

    Python 33 2

  3. Awesome-model-inversion-attack Awesome-model-inversion-attack Public

    [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"

    157 10

  4. RGIB RGIB Public

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

    Python 11 2

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

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

    Python 24 3

  6. MC-GRA MC-GRA Public

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

    Python 24 3