I am a Ph.D. student at TMLR group of Hong Kong Baptist University, advised by Prof. Bo Han and working with Prof. Jiangchao Yao. Currently, I am a visiting student at STAIR lab of Stanford University, working with Prof. Sanmi Koyejo. Prior to that, I was a visiting student at LARS group of Tsinghua University, working with Prof. Quanming Yao and Prof. Yongqi Zhang.
My research focuses on trustworthy machine reasoning with foundation models (LLMs, VLMs) to solve complex problems such as mathematics and coding, 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:
- Developing advanced trustworthy reasoning systems [AR-Bench] [Landscape of thoughts] [ECON]
- Comprehensive evaluation of foundation model trustworthiness [NoRa] [DeepInception] [G-effect] [NTTA] [EOE]
- Trustworthy machine learning and reasoning on graphs [GRA] [RGIB] [Subgraph] [Neural Atoms] [AdaProp] [KGTuner]
I am leading the reasoning team in the TMLR group, and fortunately working with several talented researchers. We welcome potential collaborations in various forms, including visiting PhD students, research assistants, and undergraduate trainees. Please feel free to email Prof. Bo Han and me to discuss collaboration opportunities. We are also organizing the TMLR Young Scientist Seminars and actively seeking researchers interested in sharing their work. If you would like to give a talk, we encourage you to reach out to us.
E-mail: cszkzhou [at] comp.hkbu.edu.hk / zhanke [at] cs.stanford.edu / andrewzhou924 [at] gmail.com
