Chao, Fei

28 publications

ICML 2025 Determining Layer-Wise Sparsity for Large Language Models Through a Theoretical Perspective Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji

NeurIPS 2025 Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji, Liujuan Cao

ICML 2025 GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Zhaohong Huang, Yuxin Zhang, Jingjing Xie, Fei Chao, Rongrong Ji

AAAI 2025 Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing Pengfei Jiang, Mingbao Lin, Fei Chao

ICML 2025 Polybasic Speculative Decoding Through a Theoretical Perspective Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji

ICCV 2025 Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Wanchen Sui, Shen Li, Yong Li, Fei Chao, Rongrong Ji

NeurIPS 2025 Spotlight Attention: Towards Efficient LLM Generation via Non-Linear Hashing-Based KV Cache Retrieval Wenhao Li, Yuxin Zhang, Gen Luo, Haiyuan Wan, ZiYang Gong, Fei Chao, Rongrong Ji

NeurIPS 2025 Video-RAG: Visually-Aligned Retrieval-Augmented Long Video Comprehension Yongdong Luo, Xiawu Zheng, Guilin Li, Shukang Yin, Haojia Lin, Chaoyou Fu, Jinfa Huang, Jiayi Ji, Fei Chao, Jiebo Luo, Rongrong Ji

ICLR 2024 AffineQuant: Affine Transformation Quantization for Large Language Models Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

AAAI 2024 Learning Image Demoiréing from Unpaired Real Data Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji

ICML 2024 Outlier-Aware Slicing for Post-Training Quantization in Vision Transformer Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

CVPR 2024 RepAn: Enhanced Annealing Through Re-Parameterization Xiang Fei, Xiawu Zheng, Yan Wang, Fei Chao, Chenglin Wu, Liujuan Cao

ICCV 2023 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji

ICCV 2023 Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso Under Information Bottleneck Principle Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji

ICML 2023 Bi-Directional Masks for Efficient N:M Sparse Training Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji

AAAI 2023 CF-ViT: A General Coarse-to-Fine Method for Vision Transformer Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji

ICCV 2023 DiffRate : Differentiable Compression Rate for Efficient Vision Transformers Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo

CVPR 2023 Discriminator-Cooperated Feature mAP Distillation for GAN Compression Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji

CVPR 2023 Meta Architecture for Point Cloud Analysis Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji

ICLR 2023 Real-Time Image Demoir$\acute{e}$ing on Mobile Devices Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Ren Shuai, Yafei Wen, Xiaoxin Chen, Rongrong Ji

ICCV 2023 SMMix: Self-Motivated Image Mixing for Vision Transformers Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji

CVPR 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji

ECCV 2022 Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

ECCV 2022 Fine-Grained Data Distribution Alignment for Post-Training Quantization Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

NeurIPS 2022 Learning Best Combination for Efficient N:M Sparsity Yuxin Zhang, Mingbao Lin, ZhiHang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji

CVPR 2022 Neural Architecture Search with Representation Mutual Information Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji

NeurIPS 2021 Revisiting Discriminator in GAN Compression: A Generator-Discriminator Cooperative Compression Scheme Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji

CVPR 2021 Towards Compact CNNs via Collaborative Compression Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji