Qi Meng

1. R-Drop: Regularized Dropout for Neural Networks
   2021/06/28 by Xiaobo Liang, Liang, Xiaobo, Lijun Wu +15 · 14 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling
   2017/09/29 by Qi Meng, Meng, Qi, Wei Chen +7 · 4 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
3. A Communication-Efficient Parallel Algorithm for Decision Tree
   2016/11/04 by Qi Meng, Guolin Ke, Meng, Qi +11 · 2 citations
   Computer Science · #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification
4. The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous\n Neural Networks
   2020/12/11 by Bohan Wang, Qi Meng, Wang, Bohan +5 · 2 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Machine Learning and ELM
5. Doubly heavy tetraquarks including one-pion exchange potential
   2023/08/10 by Qi Meng, Meng, Qi, Emiko Hiyama +7 · 2 citations
   Earth and Planetary Sciences · Physics and Astronomy · #FOS: Physical sciences #High-pressure geophysics and materials #Nuclear Theory (nucl-th) #Quantum Chromodynamics and Particle Interactions #Quantum, superfluid, helium dynamics
6. Differential Equations for Modeling Asynchronous Algorithms
   2018/05/08 by He Li, Qi Meng, He, Li +7 · 1 citation
   Computer Science · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
7. Smart Feasibility Pump: Reinforcement Learning for (Mixed) Integer Programming
   2021/02/18 by Qi Meng, Mengxin Wang, Qi, Meng +3 · 1 citation
   Computer Science · Engineering · #Reinforcement Learning in Robotics #Smart Parking Systems Research #Optimization and Search Problems
8. MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
   2024/06/07 by Jitai Hao, Weiwei Sun, Hao, Jitai +11 · 1 citation
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Computation and Language (cs.CL) #FOS: Computer and information sciences #Neural Networks and Reservoir Computing #Photonic and Optical Devices
9. Robustness of Off-Axis Electron Vortices in Nonuniform Magnetic Fields
   2026/07/24 by Hui-Dong Huang, Qi Meng, Zhi-Bin Wang +3
   #physics.acc-ph #physics.plasm-ph #quant-ph
10. Generative Video Compression with Adaptive Score Distillation
    2026/07/24 by Naifu Xue, Zhaoyang Jia, Haosen Li +7
    #eess.IV #cs.CV