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 ZhouCUHKVerified email at link.cuhk.edu.hk
Tao KongByteDance ResearchVerified email at bytedance.com
Yu-Gang JiangProfessor, Fudan University. IEEE & IAPR Fellow.Verified 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, Meta AI ResearchVerified email at berkeley.edu
Jiahui ZhangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityVerified email at mails.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
Changshui ZhangDept. Automation, Tsinghua University, Beijing, ChinaVerified email at mail.tsinghua.edu.cn
Renkun NiUniversity of MarylandVerified 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

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	1190	2017
Dynamic network surgery for efficient dnns Y Guo, A Yao, Y Chen Advances In Neural Information Processing Systems, 1379-1387, 2016	1144	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	996	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	718	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	482	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	323	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	196	2016
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	167	2017
Sparse dnns with improved adversarial robustness Y Guo, C Zhang, C Zhang, Y Chen Advances in neural information processing systems 31, 242-251, 2018	156	2018
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	149	2008
Weakly supervised dense video captioning Z Shen, J Li, Z Su, M Li, Y Chen, YG Jiang, X Xue CVPR 2017, 2017	147	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	124	2015
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	121	2017
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	115	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	101	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	95	2018
Network Decoupling: From Regular to Depthwise Separable Convolutions J Guo, Y Li, W Lin, Y Chen, J Li BMVC 2018, 2018	89	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	88	2019
Learning Visual Knowledge Memory Networks for Visual Question Answering Z Su, C Zhu, Y Dong, D Cai, Y Chen, J Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	76	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	74	2018

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