Miao, Fei

11 publications

ICLR 2026 LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts Yuan Zhuang, Yi Shen, Yuexin Bian, Qing Su, Shihao Ji, Yuanyuan Shi, Fei Miao

TMLR 2026 Α-OCC: Uncertainty-Aware Camera-Based 3D Semantic Occupancy Prediction Sanbao Su, Nuo Chen, Chenchen Lin, Felix Juefei-Xu, Chen Feng, Fei Miao

AAAI 2025 CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction Huiqun Huang, Sihong He, Fei Miao

ICML 2024 Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou

ECCV 2024 MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks Sanbao Su, Xin Li, Thang Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren

ICML 2024 Momentum for the Win: Collaborative Federated Reinforcement Learning Across Heterogeneous Environments Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson

NeurIPS 2024 Policy Optimization for Robust Average Reward MDPs Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou

TMLR 2024 What Is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao

TMLR 2023 Robust Multi-Agent Reinforcement Learning with State Uncertainty Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao

ICMLW 2023 What Is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao

IJCAI 2021 Enabling Retrain-Free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao