Gao, Ning

10 publications

ICLR 2025 EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha

CVPR 2025 GENMANIP: LLM-Driven Simulation for Generalizable Instruction-Following Manipulation Ning Gao, Yilun Chen, Shuai Yang, Xinyi Chen, Yang Tian, Hao Li, Haifeng Huang, Hanqing Wang, Tai Wang, Jiangmiao Pang

NeurIPS 2025 Progress Reward Model for Reinforcement Learning via Large Language Models Xiuhui Zhang, Ning Gao, Xingyu Jiang, Yihui Chen, Yuheng Pan, Mohan Zhang, Yue Deng

NeurIPS 2025 RF-Agent: Automated Reward Function Design via Language Agent Tree Search Ning Gao, Xiuhui Zhang, Xingyu Jiang, Mukang You, Mohan Zhang, Yue Deng

ICLR 2025 Value-Aligned Behavior Cloning for Offline Reinforcement Learning via Bi-Level Optimization Xingyu Jiang, Ning Gao, Xiuhui Zhang, Hongkun Dou, Yue Deng

ECCV 2024 Efficient Frequency-Domain Image Deraining with Contrastive Regularization Ning Gao, Xingyu Jiang, Xiuhui Zhang, Yue Deng

ECCV 2024 PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation Ning Gao, Sanping Zhou, Le Wang, Nanning Zheng

ECCV 2024 When Fast Fourier Transform Meets Transformer for Image Restoration Xingyu Jiang, Xiuhui Zhang, Ning Gao, Yue Deng

CoRL 2023 SA6D: Self-Adaptive Few-Shot 6d Pose Estimator for Novel and Occluded Objects Ning Gao, Vien Anh Ngo, Hanna Ziesche, Gerhard Neumann

CVPR 2022 What Matters for Meta-Learning Vision Regression Tasks? Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann