I’m a joint PhD student at Zhejiang University and the Beijing Institute for General Artificial Intelligence (BIGAI). My research mainly focuses on Embodied AI, Reinforcement Learning and World Model. Previously, I received my B.Eng. and M.Eng. degrees from Sun Yat-sen University (SYSU).

📝 Publications

• Physics-Informed Neural Networks for PDE Problems: A Comprehensive Review

  Kuang Luo, Jingshang Zhao, Yingping Wang, Jiayao Li, Junjie Wen, Jiong Liang, Henry Soekmadji, Shaolin Liao

  Artificial Intelligence Review, 2025

  [Paper]

• An Enhanced Hybrid Adaptive Physics-Informed Neural Network for Forward and Inverse PDE Problems

  Kuang Luo, Shaolin Liao, Zhong Guan, Baiquan Liu

  Applied Intelligence, 2025

  [Paper]

• Sub-6G Domain-Adaptive Non-Contact Sensing Using Transformer and Prototypical Neural Network

  Ming Zhang, Lu Ou, Chuangfeng Zhang, Kuang Luo, Shaolin Liao, Chengpei Tang

  IEEE Transactions on Cognitive Communications and Networking, 2025

  [Paper]

• A Dictionary Learning-Based Unsupervised Neural Network for Single-Image Compressed Sensing

  Kuang Luo, Lu Ou, Ming Zhang, Shaolin Liao, Chuangfeng Zhang

  Image and Vision Computing, 2024

  [Paper]

📖 Educations

• 2025.09 - Present, Ph.D. Student in Artificial Intelligence, Zhejiang University & Beijing Institute for General Artificial Intelligence.
• 2022.09 - 2025.06, M.Eng. in Information and Communication Engineering, Sun Yat-sen University.
• 2018.09 - 2022.06, B.Eng. in Information Engineering, Sun Yat-sen University.