• Wenqi Fang
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    Wenqi Fang

    Wenqi Fang

    Scientific Researcher

    • Shenzhen
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    • Identifying Conserved Quantities and Phase Transitions in Physical Systems via Deep Learning
      ICTP, Trieste, Italy, September 2026
    • Improving Infinitely Deep Bayesian Neural Networks with Nesterov’s Accelerated Gradient Method
      2026 3rd International Conference on Machine Learning and Intelligent Computing, April 2026
    • Discovering Conserved Quantities in Dynamical Systems Using Machine Learning Approach
      Invited Talk, Guangdong Technion-Israel Institute of Technology, August 2025