Yurong Chen

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Anbang Yao (姚安邦)Principal AI Scientist, PE, Intel Labs ChinaVerified email at intel.com
Jianguo LiDirector, Ant GroupVerified email at antgroup.com
Yiwen GuoResearch ScientistVerified email at bytedance.com
Hao ZhaoTsinghua UniversityVerified email at air.tsinghua.edu.cn
Dongqi CaiIntel Labs ChinaVerified email at intel.com
Aojun ZhouThe Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Tao KongResearch Scientist, ByteDance ResearchVerified email at bytedance.com
Yu-Gang JiangProfessor, Fudan University. IEEE & IAPR FellowVerified email at fudan.edu.cn
Xiangyang XueProfessor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Zhiqiang ShenAssistant Professor at Mohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
Zhuang LiuResearch Scientist, FAIR, MetaVerified email at berkeley.edu
Jiahui ZhangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Changshui ZhangDept. Automation, Tsinghua University, Beijing, ChinaVerified email at mail.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityVerified email at tsinghua.edu.cn
Feng XuAssociate Professor of Tsinghua UniversityVerified email at tsinghua.edu.cn
Huaping Liu（刘华平）Department of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
Renkun NiCapital One, AI FoundationVerified email at cs.umd.edu
Zixin LUOApple Inc.Verified email at cse.ust.hk
Long QUANProfessor, Department of Computer Science and Engineering, HKUSTVerified email at cse.ust.hk
Dawei SunUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu

Yurong Chen

Sr. Principal AI Scientist / Research Director, Intel Labs China

Verified email at intel.com

Computer Vision Machine Learning Parallel Computing Performance Analysis Computer Architecture


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Incremental network quantization: Towards lossless cnns with low-precision weights A Zhou, A Yao, Y Guo, L Xu, Y Chen ICLR 2017, 2017	1299	2017
Dynamic network surgery for efficient dnns Y Guo, A Yao, Y Chen Advances In Neural Information Processing Systems, 1379-1387, 2016	1296	2016
Hypernet: Towards accurate region proposal generation and joint object detection T Kong, A Yao, Y Chen, F Sun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	1100	2016
Dsod: Learning deeply supervised object detectors from scratch Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue Proceedings of the IEEE International Conference on Computer Vision, 1919-1927, 2017	789	2017
RON: Reverse Connection with Objectness Prior Networks for Object Detection T Kong, A Yao, F Sun, M Lu, H Liu, Y Chen CVPR 2017, 2017	514	2017
Learning two-view correspondences and geometry using order-aware network J Zhang, D Sun, Z Luo, A Yao, L Zhou, T Shen, Y Chen, L Quan, H Liao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	414	2019
Efficient facial landmark tracking using online shape regression method A Yao, Y Du, X Tong, T Wang, Y Chen, J Li, J Ye, W Li, Y Zhang US Patent 9,361,510, 2016	326	2016
Sparse dnns with improved adversarial robustness Y Guo, C Zhang, C Zhang, Y Chen Advances in neural information processing systems 31, 242-251, 2018	184	2018
Learning Supervised Scoring Ensemble for Emotion Recognition in the Wild P Hu, D Cai, S Wang, A Yao, Y Chen Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017	178	2017
Weakly supervised dense video captioning Z Shen, J Li, Z Su, M Li, Y Chen, YG Jiang, X Xue CVPR 2017, 2017	158	2017
SIFT implementation and optimization for multi-core systems Q Zhang, Y Chen, Y Zhang, Y Xu 2008 IEEE International Symposium on Parallel and Distributed Processing, 1-8, 2008	151	2008
Network sketching: Exploiting binary structure in deep cnns Y Guo, A Yao, H Zhao, Y Chen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	142	2017
Capturing AU-aware facial features and their latent relations for emotion recognition in the wild A Yao, J Shao, N Ma, Y Chen 17th ACM International Conference on Multimodal Interaction, ICMI 2015, 451-458, 2015	127	2015
HoloNet: towards robust emotion recognition in the wild A Yao, D Cai, P Hu, S Wang, L Sha, Y Chen Proceedings of the 18th ACM International Conference on Multimodal …, 2016	119	2016
Bundled depth-map merging for multi-view stereo J Li, E Li, Y Chen, L Xu, Y Zhang 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	114	2010
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks A Zhou, A Yao, K Wang, Y Chen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	111	2018
Efficient Semantic Scene Completion Network with Spatial Group Convolution J Zhang, H Zhao, A Yao, Y Chen, L Zhang, H Liao ECCV 2018, 2018	104	2018
Object detection from scratch with deep supervision Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue IEEE transactions on pattern analysis and machine intelligence 42 (2), 398-412, 2019	101	2019
Network Decoupling: From Regular to Depthwise Separable Convolutions J Guo, Y Li, W Lin, Y Chen, J Li BMVC 2018, 2018	100	2018
A closed-form solution to universal style transfer M Lu, H Zhao, A Yao, Y Chen, F Xu, L Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	85	2019

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