Fei Chao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
17
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation. | Huachen Qi, Ruiyu Zhuo, Bowen Shi, Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen |
| 2026 | ICPR | CCF: A Context Compression Framework for Efficient Long-Sequence Language Modeling. | Bangcheng Sun, Fei Chao |
| 2025 | AAAI | Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. | Pengfei Jiang, Mingbao Lin, Fei Chao |
| 2025 | ACL | Automated Fine-Grained Mixture-of-Experts Quantization. | Zhanhao Xie, Yuexiao Ma, Xiawu Zheng, Fei Chao, Wanchen Sui, Yong Li, Shen Li, Rongrong Ji |
| 2025 | ICCV | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective. | Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji |
| 2025 | ICML | polybasic Speculative Decoding Through a Theoretical Perspective. | Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji |
| 2025 | IJCNN | Breaking Static Barriers: Dynamic Post-Training Quantization for Diffusion Models. | Xiao Yang, Huixia Li, Lijiang Li, Xiawu Zheng, Yuexiao Ma, Feng Ling, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Fei Chao |
| 2025 | IJCNN | Optimizing Time-Step Sampling Probabilities in Diffusion Models for Enhanced Training Efficiency. | Beibei Zhang, Wenjing Liu, Xiang Chang, Changjing Shang, Qiang Shen, Fei Chao |
| 2024 | AAAI | Learning Image Demoiring from Unpaired Real Data. | Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji |
| 2024 | CVPR | RepAn: Enhanced Annealing through Re-parameterization. | Xiang Fei, Xiawu Zheng, Yan Wang, Fei Chao, Chenglin Wu, Liujuan Cao |
| 2024 | ICASSP | Functionally Similar Multi-Label Knowledge Distillation. | Binghan Chen, Jianlong Hu, Xiawu Zheng, Wei Lin, Fei Chao, Rongrong Ji |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2023 | AAAI | 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 |
| 2023 | CVPR | Discriminator-Cooperated Feature Map Distillation for GAN Compression. | Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji |
| 2023 | CVPR | Meta Architecture for Point Cloud Analysis. | Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | SMMix: Self-Motivated Image Mixing for Vision Transformers. | Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICLR | Real-Time Image Demoiring on Mobile Devices. | Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji |
| 2023 | ICML | Bi-directional Masks for Efficient N: M Sparse Training. | Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji |
| 2023 | ICRA | Automated Action Evaluation for Robotic Imitation Learning via Siamese Neural Networks. | Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen |
| 2022 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | IJCNN | A TOPSIS based Self-Organizing Double Loop Recurrent Broad Learning System for Uncertain Nonlinear Systems. | Wei-Zhong Huang, Yang Zhao, Wei-Bin Hong, Hong-Rui He, Fei Chao, Longzhi Yang, Chih-Min Lin, Xiang Chang, Changjiang Shang, Qiang Shen |
| 2021 | CVPR | 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 |
| 2020 | CEC | A Comparative Study of Genetic Algorithm and Particle Swarm optimisation for Dendritic Cell Algorithm. | Noe Elisa, Longzhi Yang, Fei Chao, Nitin Naik |
| 2020 | CEC | Improving Deep Learning based Optical Character Recognition via Neural Architecture Search. | Zhenyao Zhao, Min Jiang, Shihui Guo, Zhenzhong Wang, Fei Chao, Kay Chen Tan |
| 2020 | IJCNN | A Novel Self-Organizing Emotional CMAC Network for Robotic Control | Juncheng Zhang, Quanfeng Li, Xiang Chang, Fei Chao, Chih-Min Lin, Longzhi Yang, Tuan-Tu Huynh, Ling Zheng, Changle Zhou, Changjing Shang |
| 2019 | UIC | Robotic Chinese Calligraphy with Human Preference. | Fei Chao, Jitu Lyu, Ruiqi Wu, Xingen Gao, Changle Zhou, Longzhi Yang, Chih-Min Lin, Changjing Shang |
| 2018 | HPCC | A Revised Dendritic Cell Algorithm Using K-Means Clustering. | Noe Elisa, Longzhi Yang, Yanpeng Qu, Fei Chao |
| 2018 | ICRA | Generative Adversarial Nets in Robotic Chinese Calligraphy. | Fei Chao, Jitu Lv, Dajun Zhou, Longzhi Yang, Chih-Min Lin, Changjing Shang, Changle Zhou |
| 2018 | SMC | Breast Cancer Diagnosis Using K-Means Type-2 Fuzzy Neural Network. | Tien-Loc Le, Tuan-Tu Huynh, Chih-Min Lin, Fei Chao |
| 2017 | ICNC | A computational evaluation system of Chinese calligraphy via extended possibility-probability distribution method. | Dajun Zhou, Jiamin Ge, Ruiqi Wu, Fei Chao, Longzhi Yang, Changle Zhou |
| 2014 | IJCNN | Improving machine vision via incorporating expectation-maximization into Deep Spatio-Temporal learning. | Min Jiang, Yulong Ding, Ben Goertzel, Zhongqiang Huang, Changle Zhou, Fei Chao |
| 2012 | ICARCV | Integration of brain-like computational structure and infant behaviorial pattern for robotic hand-eye coordination. | Fei Chao, Haixiong Lin, Min Jiang, Minghui Shi, Jinying Chao |
| 2012 | IJCNN | An algorithm for computing attribute reducts based on graph search strategy. | Minghui Shi, Changle Zhou, Fei Chao, Min Jiang |