Zhenzhong Lan

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Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
Radu SoricutGoogleVerified email at google.com
Shoou-I YuResearch Scientist, Facebook Reality LabsVerified email at oculus.com
Lu JiangResearch Scientist, Google & Adjunct Professor, CMUVerified email at cs.cmu.edu
Kevin GimpelToyota Technological Institute at ChicagoVerified email at ttic.edu
Yi YangZhejiang UniversityVerified email at zju.edu.cn
Bhiksha RajCarnegie Mellon UniversityVerified email at cs.cmu.edu
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Yi ZhuAmazon Web ServicesVerified email at ucmerced.edu
Shawn NewsamUniversity of California, MercedVerified email at ucmerced.edu
Wei LiuHead of Machine Learning Research at NuroVerified email at nuro.ai
Lei BaoInstitute of Computing TechnologyVerified email at ict.ac.cn
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Ming LinAlibaba GroupVerified email at alibaba-inc.com
Minh Hoai NguyenAssociate Professor at Stony Brook UniversityVerified email at cs.stonybrook.edu
Fernando De la TorreResearch Associate Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Nicolas BallasFacebook AI ResearchVerified email at fb.com
Eric NybergProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yang CaiMaster Student of Robotics Institute, Carnegie Mellon University.Verified email at cs.cmu.edu
Wei BiPrincipal Researcher, Tencent AI LABVerified email at tencent.com

Zhenzhong Lan

School of Engineering, Westlake University

Verified email at westlake.edu.cn - Homepage

NLP Computer Vision Multimedia


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Albert: A lite bert for self-supervised learning of language representations Z Lan, M Chen, S Goodman, K Gimpel, P Sharma, R Soricut ICLR 2020, 2020	4493	2020
Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in neural information processing systems 27, 2014	367	2014
Joint segmentation and classification of human actions in video M Hoai, ZZ Lan, F De la Torre CVPR 2011, 3265-3272, 2011	334	2011
Beyond gaussian pyramid: Multi-skip feature stacking for action recognition Z Lan, M Lin, X Li, AG Hauptmann, B Raj Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015	326	2015
Hidden two-stream convolutional networks for action recognition Y Zhu, Z Lan, S Newsam, A Hauptmann Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019	311	2019
CLUE: A Chinese language understanding evaluation benchmark L Xu, H Hu, X Zhang, L Li, C Cao, Y Li, Y Xu, K Sun, D Yu, C Yu, Y Tian, ... arXiv preprint arXiv:2004.05986, 2020	176	2020
Deep local video feature for action recognition Z Lan, Y Zhu, AG Hauptmann, S Newsam Proceedings of the IEEE conference on computer vision and pattern …, 2017	132	2017
Multimedia classification and event detection using double fusion Z Lan, L Bao, SI Yu, W Liu, AG Hauptmann Multimedia tools and applications 71, 333-347, 2014	99	2014
Double fusion for multimedia event detection Z Lan, L Bao, SI Yu, W Liu, AG Hauptmann Advances in Multimedia Modeling: 18th International Conference, MMM 2012 …, 2012	97	2012
Viral video style: A closer look at viral videos on youtube L Jiang, Y Miao, Y Yang, Z Lan, AG Hauptmann Proceedings of International Conference on Multimedia Retrieval, 193-200, 2014	94	2014
Guided optical flow learning Y Zhu, Z Lan, S Newsam, AG Hauptmann arXiv preprint arXiv:1702.02295, 2017	56	2017
Training binary multilayer neural networks for image classification using expectation backpropagation Z Cheng, D Soudry, Z Mao, Z Lan arXiv preprint arXiv:1503.03562, 2015	52	2015
Space-time robust representation for action recognition N Ballas, Y Yang, ZZ Lan, B Delezoide, F Preteux, A Hauptmann Proceedings of the IEEE International Conference on Computer Vision, 2704-2711, 2013	50	2013
Do transformer modifications transfer across implementations and applications? S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ... arXiv preprint arXiv:2102.11972, 2021	47	2021
Extending semi-supervised learning methods for inductive transfer learning Y Shi, Z Lan, W Liu, W Bi 2009 Ninth IEEE international conference on data mining, 483-492, 2009	42	2009
Informedia@ trecvid 2014 med and mer SI Yu, L Jiang, Z Mao, X Chang, X Du, C Gan, Z Lan, Z Xu, X Li, Y Cai, ... NIST TRECVID Video Retrieval Evaluation Workshop 24, 2014	40	2014
CMU-Informedia at TRECVID 2013 multimedia event detection ZZ Lan, L Jiang, SI Yu, S Rawat, Y Cai, C Gao, S Xu, H Shen, X Li, ... TRECVID 2013 Workshop 1 (2), 5, 2013	38	2013
Informedia@ trecvid 2011 L Bao, SI Yu, Z Lan, A Overwijk, Q Jin, B Langner, M Garbus, S Burger, ... Carnegie Mellon University, 2011	38	2011
E-lamp: integration of innovative ideas for multimedia event detection W Tong, Y Yang, L Jiang, SI Yu, ZZ Lan, Z Ma, W Sze, E Younessian, ... Machine vision and applications 25, 5-15, 2014	34	2014
Talking-heads attention N Shazeer, Z Lan, Y Cheng, N Ding, L Hou arXiv preprint arXiv:2003.02436, 2020	30	2020

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