A test approach of combining partial scan with functional testing for high performance processors. - Quanquan Li; Yingke Gao; Tiejun Zhang; Chaohuan Hou (ASICON, 2011)

Design and implementation of transaction level processor based on UVM. - Yingke Gao; Diancheng Wu; Quanquan Li; Tiejun Zhang; Chaohuan Hou (ASICON, 2013)

Low power instruction cache design based on branch execution tracks. - Quanquan Li; Qi Wang; Tiejun Zhang; Donghui Wang; Chaohuan Hou (ASICON, 2013)

An optimized hardware architecture for intra prediction in H.264 decoder. - Qi Wang; Quanquan Li; Shi Chen; Tiejun Zhang; Chaohuan Hou (ASICON, 2013)

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)

Mimicking Very Efficient Network for Object Detection. - Quanquan Li; Shengying Jin; Junjie Yan (CVPR, 2017)

Grid R-CNN. - Xin Lu; Buyu Li; Yuxin Yue; Quanquan Li; Junjie Yan (CoRR, 2018)

Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer. - Mengya Gao; Yujun Shen; Quanquan Li; Chen Change Loy; Xiaoou Tang (CoRR, 2018)

Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection. - Wanli Ouyang; Hui Zhou 005; Hongsheng Li 001; Quanquan Li; Junjie Yan; Xiaogang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Grid R-CNN. - Xin Lu 002; Buyu Li; Yuxin Yue; Quanquan Li; Junjie Yan (CVPR, 2019)

WIDER Face and Pedestrian Challenge 2018: Methods and Results. - Chen Change Loy; Dahua Lin; Wanli Ouyang; Yuanjun Xiong; Shuo Yang 003; Qingqiu Huang; Dongzhan Zhou; Wei Xia; Quanquan Li; Ping Luo 002; Junjie Yan; Jianfeng Wang; et al. (CoRR, 2019)

Grid R-CNN Plus: Faster and Better. - Xin Lu; Buyu Li; Yuxin Yue; Quanquan Li; Junjie Yan (CoRR, 2019)

Equalization Loss for Large Vocabulary Instance Segmentation. - Jingru Tan; Changbao Wang; Quanquan Li; Junjie Yan (CoRR, 2019)

DMCP: Differentiable Markov Channel Pruning for Neural Networks. - Shaopeng Guo; Yujie Wang; Quanquan Li; Junjie Yan (CVPR, 2020)

Equalization Loss for Long-Tailed Object Recognition. - Jingru Tan; Changbao Wang; Buyu Li; Quanquan Li; Wanli Ouyang; Changqing Yin; Junjie Yan (CVPR, 2020)

MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection. - Xin Lu 002; Quanquan Li; Buyu Li; Junjie Yan (ECCV (14), 2020)

Learning Connectivity of Neural Networks from a Topological Perspective. - Kun Yuan 003; Quanquan Li; Jing Shao; Junjie Yan (ECCV (21), 2020)

Residual Knowledge Distillation. - Mengya Gao; Yujun Shen; Quanquan Li; Chen Change Loy (CoRR, 2020)

Learning Connectivity of Neural Networks from a Topological Perspective. - Kun Yuan; Quanquan Li; Jing Shao; Junjie Yan (CoRR, 2020)

1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask. - Jingru Tan; Gang Zhang; Hanming Deng; Changbao Wang; Lewei Lu; Quanquan Li; Jifeng Dai (CoRR, 2020)

MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection. - Xin Lu; Quanquan Li; Buyu Li; Junjie Yan (CoRR, 2020)

Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks. - Kun Yuan; Quanquan Li; Dapeng Chen; Aojun Zhou; Junjie Yan (CoRR, 2020)

Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection. - Jingru Tan; Xin Lu; Gang Zhang; Changqing Yin; Quanquan Li (CoRR, 2020)

Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection. - Jingru Tan; Xin Lu 002; Gang Zhang; Changqing Yin; Quanquan Li (CVPR, 2021)

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. - Gang Zhang; Xin Lu 002; Jingru Tan; Jianmin Li 001; Zhaoxiang Zhang 001; Quanquan Li; Xiaolin Hu 001 (CVPR, 2021)

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

Differentiable Network Adaption with Elastic Search Space. - Shaopeng Guo; Yujie Wang; Kun Yuan; Quanquan Li (CoRR, 2021)

Fixing the Teacher-Student Knowledge Discrepancy in Distillation. - Jiangfan Han; Mengya Gao; Yujie Wang; Quanquan Li; Hongsheng Li 001; Xiaogang Wang 001 (CoRR, 2021)

RADACS: Towards Higher-Order Reasoning using Action Recognition in Autonomous Vehicles. - Alex Zhuang; Eddy Zhou; Quanquan Li; Rowan Dempster; Alikasim Budhwani; Mohammad K. Al-Sharman; Derek Rayside; William Melek (CoRR, 2022)

Two-stage reverse knowledge distillation incorporated and Self-Supervised Masking strategy for industrial anomaly detection. - Guoxiang Tong; Quanquan Li; Yan Song 002 (Knowl. Based Syst., 2023)

Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization. - Guoxiang Tong; Quanquan Li; Yan Song 002 (IEEE Trans. Big Data, 2024)

RALACs: Action Recognition in Autonomous Vehicles Using Interaction Encoding and Optical Flow. - Eddy Zhou; Owen Leather; Alex Zhuang; Alikasim Budhwani; Rowan Dempster; Quanquan Li; Mohammad K. Al-Sharman; Derek Rayside; William Melek (IEEE Trans. Cybern., 2025)