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Tao Luo

  1. Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
    2025/12/31 by Weixun Wang, XiaoXiao Xu, Wanhe An +86 · 22 voices · 2 citations
    #cs.AI #cs.CL
  2. Overview frequency principle/spectral bias in deep learning
    2022/01/19 by Zhi‐Qin John Xu, Xu, Zhi-Qin John, Yaoyu Zhang +3 · 20 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Neural Networks and Applications #Structural Health Monitoring Techniques
  3. Phase diagram for two-layer ReLU neural networks at infinite-width limit
    2020/07/15 by Tao Luo, Luo, Tao, Zhi‐Qin John Xu +5 · 11 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  4. Two-Layer Neural Networks for Partial Differential Equations: Optimization and Generalization Theory
    2020/06/28 by Tao Luo, Luo, Tao, Haizhao Yang +1 · 6 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
  5. Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter and Greedier
    2018/11/04 by Jingwei Liang, Liang, Jingwei, Tao Luo +3 · 4 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods #Medical Image Segmentation Techniques
  6. Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks
    2019/05/24 by Yaoyu Zhang, Zhang, Yaoyu, Zhi‐Qin John Xu +5 · 5 citations
    Computer Science · Physics and Astronomy · #68Q32 #68T01 #FOS: Computer and information sciences #Face and Expression Recognition #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
  7. Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach
    2022/08/17 by Yining Wang, Wang, Yining, Mingzhe Chen +11 · 5 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Robotics and Automated Systems #Topic Modeling
  8. A type of generalization error induced by initialization in deep neural networks
    2019/05/19 by Yaoyu Zhang, Zhi‐Qin John Xu, Zhang, Yaoyu +5 · 4 citations
    Computer Science · Physics and Astronomy · #68Q32 #68T01 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  9. Multi-stage jet evolution through QGP using the JETSCAPE framework: inclusive jets, correlations and leading hadrons
    2019/02/15 by C. Park, A. Angerami, Park, C. +85 · 1 citation
    Physics and Astronomy · #High-Energy Particle Collisions Research #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions
  10. Phase Diagram of Initial Condensation for Two-layer Neural Networks
    2023/03/12 by Zhengan Chen, Yuqing Li, Chen, Zhengan +7 · 2 citations
    Computer Science · Materials Science · Physics and Astronomy · #34A45 #68U99 #90C26 #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Neural Networks and Applications #Optimization and Control (math.OC)
  11. An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network
    2021/05/25 by Tao Luo, Luo, Tao, Zheng Ma +7 · 1 citation
    Earth and Planetary Sciences · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Seismic Imaging and Inversion Techniques
  12. Optimization of Private Semantic Communication Performance: An Uncooperative Covert Communication Method
    2025/08/11 by Wenjing Zhang, Ye Hu, Zhang, Wenjing +7 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Privacy-Preserving Technologies in Data #Security in Wireless Sensor Networks #Wireless Communication Security Techniques
  13. Dating magmatic and hydrothermal processes using andradite-rich garnet U–Pb geochronometry
    2017/08/03 by Xiao-Dong Deng, Jianwei Li, Jian-Wei Li +3 · 2 citations
    Earth and Planetary Sciences · Computer Science · #Geological and Geochemical Analysis #Geochemistry and Geologic Mapping #earthquake and tectonic studies