Fengwei Yu - RankMe

45 papers A* 14A 1B 3Journal 23Unranked 4

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