Fengwei Yu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 45

Top Topics

Forward And Backward

Uniform Quantization

Top Venues

Publications

Weitao Feng, Lei Bai, Yongqiang Yao, Fengwei Yu, Wanli Ouyang
Towards Frame Rate Agnostic Multi-object Tracking. Int. J. Comput. Vis. 132 (5) (2024)
Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. MLSys (2023)
Yuanzheng Ci, Yizhou Wang, Meilin Chen, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Fengwei Yu, Donglian Qi, Wanli Ouyang
UniHCP: A Unified Model for Human-Centric Perceptions. CVPR (2023)
Jianjin Liao, Mingzhen Li, Hailong Yang, Qingxiao Sun, Biao Sun, Jiwei Hao, Tianyu Feng, Fengwei Yu, Shengdong Chen, Ye Tao, Zicheng Zhang, Zhongzhi Luan, Depei Qian
Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU. IPDPS (2023)
Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. CoRR (2023)
Yuanzheng Ci, Yizhou Wang, Meilin Chen, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Fengwei Yu, Donglian Qi, Wanli Ouyang
UniHCP: A Unified Model for Human-Centric Perceptions. CoRR (2023)
Mingzhen Li, Hailong Yang, Shanjun Zhang, Fengwei Yu, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian
Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs. ICPP (2023)
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. CoRR (2022)
Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. ICLR (2022)
Weitao Feng, Lei Bai, Yongqiang Yao, Fengwei Yu, Wanli Ouyang
Towards Frame Rate Agnostic Multi-Object Tracking. CoRR (2022)
Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
Equalized Focal Loss for Dense Long-Tailed Object Detection. CoRR (2022)
Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning. CoRR (2022)
Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
Equalized Focal Loss for Dense Long-Tailed Object Detection. CVPR (2022)
Jianjin Liao, Mingzhen Li, Qingxiao Sun, Jiwei Hao, Fengwei Yu, Shengdong Chen, Ye Tao, Zicheng Zhang, Hailong Yang, Zhongzhi Luan, Depei Qian
Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU. CoRR (2022)
Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. CoRR (2022)
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. NeurIPS (2022)
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR (2022)
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR (2022)
Liang Liu, Mingzhu Shen, Ruihao Gong, Fengwei Yu, Hailong Yang
NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database. ICPP (2022)
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR (2021)
Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. CoRR (2021)
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. ICLR (2021)
Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. NeurIPS Datasets and Benchmarks (2021)
Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. CoRR (2021)
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV (2021)
Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. ICCV (2021)
Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu
Differentiable Dynamic Wirings for Neural Networks. ICCV (2021)
Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao
INTERN: A New Learning Paradigm Towards General Vision. CoRR (2021)
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. CoRR (2021)
Yan Wang, Yuhang Li, Ruihao Gong, Tianzi Xiao, Fengwei Yu
Real World Robustness from Systematic Noise. AdvM @ ACM Multimedia (2021)
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu
Incorporating Convolution Designs into Visual Transformers. ICCV (2021)
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR (2021)
Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR (2021)
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu
Incorporating Convolution Designs into Visual Transformers. CoRR (2021)
Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu
Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR (2020)
Qingchang Han, Yongmin Hu, Fengwei Yu, Hailong Yang, Bing Liu, Peng Hu, Ruihao Gong, Yanfei Wang, Rui Wang, Zhongzhi Luan, Depei Qian
Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures. ICPP (2020)
Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan
Towards Unified INT8 Training for Convolutional Neural Network. CVPR (2020)
Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song
Forward and Backward Information Retention for Accurate Binary Neural Networks. CVPR (2020)
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. CoRR (2020)
Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. ICCV (2019)
Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. CoRR (2019)
Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan
Towards Unified INT8 Training for Convolutional Neural Network. CoRR (2019)
Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. CoRR (2016)
Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. ECCV Workshops (2) (2016)