Mai, Luo

7 publications

NeurIPS 2025 MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems Yinsicheng Jiang, Yao Fu, Yeqi Huang, Ping Nie, Zhan Lu, Leyang Xue, Congjie He, Man-Kit Sit, Jilong Xue, Li Dong, Ziming Miao, DaYou Du, Tairan Xu, Kai Zou, Edoardo Ponti, Luo Mai

ICML 2024 Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, Siddharth N, Shuo Chen, Mahesh K. Marina

ICML 2023 GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai

MLOSS 2023 TorchOpt: An Efficient Library for Differentiable Optimization Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang

NeurIPS 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang

ECCV 2022 MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu

NeurIPSW 2022 TorchOpt: An Efficient Library for Differentiable Optimization Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang