POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. - Fengwei Yu; Wenbo Li 001; Quanquan Li; Yu Liu 015; Xiaohua Shi; Junjie Yan (ECCV Workshops (2), 2016)

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. - Ruihao Gong; Xianglong Liu 001; Shenghu Jiang; Tianxiang Li; Peng Hu; Jiazhen Lin; Fengwei Yu; Junjie Yan (ICCV, 2019)

Forward and Backward Information Retention for Accurate Binary Neural Networks. - Haotong Qin; Ruihao Gong; Xianglong Liu 001; Mingzhu Shen; Ziran Wei; Fengwei Yu; Jingkuan Song (CVPR, 2020)

Towards Unified INT8 Training for Convolutional Neural Network. - Feng Zhu 006; Ruihao Gong; Fengwei Yu; Xianglong Liu 001; Yanfei Wang; Zhelong Li; Xiuqi Yang; Junjie Yan (CVPR, 2020)

Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures. - Qingchang Han; Yongmin Hu; Fengwei Yu; Hailong Yang 002; Bing Liu; Peng Hu; Ruihao Gong; Yanfei Wang; Rui Wang 014; Zhongzhi Luan; Depei Qian (ICPP, 2020)

Efficient Bitwidth Search for Practical Mixed Precision Neural Network. - Yuhang Li 001; Wei Wang 059; Haoli Bai; Ruihao Gong; Xin Dong 009; Fengwei Yu (CoRR, 2020)

Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. - Yuhang Li 001; Feng Zhu 006; Ruihao Gong; Mingzhu Shen; Fengwei Yu; Shaoqing Lu; Shi Gu (CoRR, 2020)

Diversifying Sample Generation for Accurate Data-Free Quantization. - Xiangguo Zhang; Haotong Qin; Yifu Ding; Ruihao Gong; Qinghua Yan; Renshuai Tao; Yuhang Li 001; Fengwei Yu; Xianglong Liu 001 (CVPR, 2021)

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. - Yuhang Li 001; Feng Zhu 006; Ruihao Gong; Mingzhu Shen; Xin Dong 009; Fengwei Yu; Shaoqing Lu; Shi Gu (ICCV, 2021)

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. - Mingzhu Shen; Feng Liang; Ruihao Gong; Yuhang Li 001; Chuming Li; Chen Lin 003; Fengwei Yu; Junjie Yan; Wanli Ouyang (ICCV, 2021)

Incorporating Convolution Designs into Visual Transformers. - Kun Yuan; Shaopeng Guo; Ziwei Liu 002; Aojun Zhou; Fengwei Yu; Wei Wu (ICCV, 2021)

Differentiable Dynamic Wirings for Neural Networks. - Kun Yuan; Quanquan Li; Shaopeng Guo; Dapeng Chen; Aojun Zhou; Fengwei Yu; Ziwei Liu 002 (ICCV, 2021)

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. - Yuhang Li 001; Ruihao Gong; Xu Tan; Yang Yang; Peng Hu; Qi Zhang; Fengwei Yu; Wei Wang 059; Shi Gu (ICLR, 2021)

Real World Robustness from Systematic Noise. - Yan Wang 033; Yuhang Li 001; Ruihao Gong; Tianzi Xiao; Fengwei Yu (AdvM @ ACM Multimedia, 2021)

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. - Yuhang Li 001; Mingzhu Shen; Jian Ma; Yan Ren; Mingxin Zhao; Qi Zhang; Ruihao Gong; Fengwei Yu; Junjie Yan (NeurIPS Datasets and Benchmarks, 2021)

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. - Shiyu Tang; Ruihao Gong; Yan Wang 033; Aishan Liu; Jiakai Wang; Xinyun Chen; Fengwei Yu; Xianglong Liu 001; Dawn Song; Alan L. Yuille; Philip H. S. Torr; Dacheng Tao (CoRR, 2021)

INTERN: A New Learning Paradigm Towards General Vision. - Jing Shao; Siyu Chen; Yangguang Li 001; Kun Wang; Zhenfei Yin; Yinan He; Jianing Teng; Qinghong Sun; Mengya Gao; Jihao Liu; Gengshi Huang; Guanglu Song; et al. (CoRR, 2021)

Equalized Focal Loss for Dense Long-Tailed Object Detection. - Bo Li 126; Yongqiang Yao; Jingru Tan; Gang Zhang; Fengwei Yu; Jianwei Lu; Ye Luo (CVPR, 2022)

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. - Yangguang Li 001; Feng Liang; Lichen Zhao; Yufeng Cui; Wanli Ouyang; Jing Shao; Fengwei Yu; Junjie Yan (ICLR, 2022)

QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. - Xiuying Wei; Ruihao Gong; Yuhang Li 001; Xianglong Liu 001; Fengwei Yu (ICLR, 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 (ICPP, 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 001 (NeurIPS, 2022)

Equalized Focal Loss for Dense Long-Tailed Object Detection. - Bo Li; Yongqiang Yao; Jingru Tan; Gang Zhang; Fengwei Yu; Jianwei Lu; Ye Luo (CoRR, 2022)

Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU. - Jianjin Liao; Mingzhen Li 001; Qingxiao Sun; Jiwei Hao; Fengwei Yu; Shengdong Chen; Ye Tao; Zicheng Zhang; Hailong Yang 002; Zhongzhi Luan; Depei Qian (CoRR, 2022)

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. - Jingru Tan; Bo Li; Xin Lu; Yongqiang Yao; Fengwei Yu; Tong He 001; Wanli Ouyang (CoRR, 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)

UniHCP: A Unified Model for Human-Centric Perceptions. - Yuanzheng Ci; Yizhou Wang 007; Meilin Chen; Shixiang Tang; Lei Bai 001; Feng Zhu 006; Rui Zhao 001; Fengwei Yu; Donglian Qi; Wanli Ouyang (CVPR, 2023)

Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs. - Mingzhen Li 001; Hailong Yang 002; Shanjun Zhang; Fengwei Yu; Ruihao Gong; Yi Liu 013; Zhongzhi Luan; Depei Qian (ICPP, 2023)

Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU. - Jianjin Liao; Mingzhen Li 001; Hailong Yang 002; Qingxiao Sun; Biao Sun; Jiwei Hao; Tianyu Feng; Fengwei Yu; Shengdong Chen; Ye Tao; Zicheng Zhang; Zhongzhi Luan; et al. (IPDPS, 2023)

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. - Yan Wang 033; Yuhang Li 001; Ruihao Gong; Aishan Liu; Yanfei Wang; Jian Hu; Yongqiang Yao; Yunchen Zhang; Tianzi Xiao; Fengwei Yu; Xianglong Liu 001 (MLSys, 2023)

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. - Jingru Tan; Bo Li 126; Xin Lu; Yongqiang Yao; Fengwei Yu; Tong He 001; Wanli Ouyang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Towards Frame Rate Agnostic Multi-object Tracking. - Weitao Feng; Lei Bai 001; Yongqiang Yao; Fengwei Yu; Wanli Ouyang (Int. J. Comput. Vis., 2024)