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Chang Su

  1. DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
    2024/03/06 by Zhongkai Hao, Chang Su, Hao, Zhongkai +15 · 26 citations
    Computer Science · Engineering · #Advanced Sensor and Control Systems #FOS: Computer and information sciences #FOS: Mathematics #Flow Measurement and Analysis #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA)
  2. PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
    2023/06/15 by Zhongkai Hao, Hao, Zhongkai, Jiachen Yao +19 · 15 citations
    Physics and Astronomy · #Model Reduction and Neural Networks
  3. Empirical Bayes PCA in high dimensions
    2020/12/21 by Xinyi Zhong, Zhong, Xinyi, Chang Su +3 · 3 citations
    Computer Science · Engineering · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
  4. Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
    2021/03/21 by Jianlan Luo, Oleg Sushkov, Luo, Jianlan +15 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  5. CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
    2023/11/22 by Yilun Liu, Liu, Yilun, Shimin Tao +24 · 4 citations
    Engineering · #Real-time simulation and control systems
  6. Using Large Language Model for End-to-End Chinese ASR and NER
    2024/01/21 by Yuang Li, Li, Yuang, Jiawei Yu +13 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech Recognition and Synthesis
  7. MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
    2023/06/05 by Jiachen Yao, Chang Su, Yao, Jiachen +9 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)