Fengwei Yu

According to our database, Fengwei Yu authored at least 30 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.

Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency.

Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu

CoRR, 2023

Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU.

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs.

Mingzhen Li, Hailong Yang, Shanjun Zhang, Fengwei Yu, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 52nd International Conference on Parallel Processing, 2023

UniHCP: A Unified Model for Human-Centric Perceptions.

Yuanzheng Ci, Yizhou Wang, Meilin Chen, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Fengwei Yu, Donglian Qi, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning.

Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu

CoRR, 2022

Towards Frame Rate Agnostic Multi-Object Tracking.

Weitao Feng, Lei Bai, Yongqiang Yao, Fengwei Yu, Wanli Ouyang

CoRR, 2022

Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU.

Jianjin Liao, Mingzhen Li, Qingxiao Sun, Jiwei Hao, Fengwei Yu, Shengdong Chen, Ye Tao, Zicheng Zhang, Hailong Yang, Zhongzhi Luan, Depei Qian

CoRR, 2022

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models.

Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database.

Liang Liu, Mingzhu Shen, Ruihao Gong, Fengwei Yu, Hailong Yang

Proceedings of the 51st International Conference on Parallel Processing, 2022

QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm.

Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.

Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

INTERN: A New Learning Paradigm Towards General Vision.

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

CoRR, 2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.

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

CoRR, 2021

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark.

Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Real World Robustness from Systematic Noise.

Yan Wang, Yuhang Li, Ruihao Gong, Tianzi Xiao, Fengwei Yu

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu

Proceedings of the 9th International Conference on Learning Representations, 2021

Differentiable Dynamic Wirings for Neural Networks.

Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Incorporating Convolution Designs into Visual Transformers.

Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search.

Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing.

Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Diversifying Sample Generation for Accurate Data-Free Quantization.

Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization.

Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu

CoRR, 2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network.

Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu

CoRR, 2020

Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures.

Qingchang Han, Yongmin Hu, Fengwei Yu, Hailong Yang, Bing Liu, Peng Hu, Ruihao Gong, Yanfei Wang, Rui Wang, Zhongzhi Luan, Depei Qian

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Towards Unified INT8 Training for Convolutional Neural Network.

Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Forward and Backward Information Retention for Accurate Binary Neural Networks.

Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks.

Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016

POI: Multiple Object Tracking with High Performance Detection and Appearance Feature.

Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016