Liwei Wang

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Di HePeking UniversityPatvirtintas el. paštas pku.edu.cn
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowPatvirtintas el. paštas microsoft.com
Tao QinSenior Principal Research Manager, Microsoft ResearchPatvirtintas el. paštas microsoft.com
Tianle CaiPhD Student, Princeton UniversityPatvirtintas el. paštas princeton.edu
Zhiwu LuProfessor, Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Kai ZhengPeking UniversityPatvirtintas el. paštas pku.edu.cn
Tiange LuoUniversity of MichiganPatvirtintas el. paštas umich.edu
Han HuMicrosoft ResearchPatvirtintas el. paštas microsoft.com
John HopcroftCornell UniversityPatvirtintas el. paštas cs.cornell.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonPatvirtintas el. paštas cs.washington.edu
Ze YangUniversity of TorontoPatvirtintas el. paštas cs.toronto.edu
Ji-Rong WenRenmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Stephen LinMicrosoft Research AsiaPatvirtintas el. paštas microsoft.com
Tao XiangUniversity of Surrey; Meta AIPatvirtintas el. paštas surrey.ac.uk
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityPatvirtintas el. paštas princeton.edu
Haochuan LiMIT EECSPatvirtintas el. paštas mit.edu
Jun GaoUniversity of Toronto, NVIDIAPatvirtintas el. paštas cs.toronto.edu
Wenlong MouUC BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Wei Chen (陈薇)Institute of Computing Technology, Chinese Academy of SciencesPatvirtintas el. paštas ict.ac.cn
Zhou LuPhD student at PrincetonPatvirtintas el. paštas princeton.edu

Stebėti

Liwei Wang

Professor, Peking University

Patvirtintas el. paštas cis.pku.edu.cn - Pagrindinis puslapis

machine learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Gradient descent finds global minima of deep neural networks S Du, J Lee, H Li, L Wang, X Zhai International conference on machine learning, 1675-1685, 2019	1002	2019
The expressive power of neural networks: A view from the width Z Lu, H Pu, F Wang, Z Hu, L Wang Advances in neural information processing systems 30, 2017	890	2017
Dual learning for machine translation D He, Y Xia, T Qin, L Wang, N Yu, TY Liu, WY Ma Advances in neural information processing systems 29, 2016	889	2016
On the Euclidean distance of images L Wang, Y Zhang, J Feng IEEE transactions on pattern analysis and machine intelligence 27 (8), 1334-1339, 2005	767	2005
Reppoints: Point set representation for object detection Z Yang, S Liu, H Hu, L Wang, S Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019	657	2019
A theoretical analysis of NDCG type ranking measures Y Wang, L Wang, Y Li, D He, TY Liu Conference on learning theory, 25-54, 2013	556	2013
Learning to navigate for fine-grained classification Z Yang, T Luo, D Wang, Z Hu, J Gao, L Wang Proceedings of the European conference on computer vision (ECCV), 420-435, 2018	448	2018
On layer normalization in the transformer architecture R Xiong, Y Yang, D He, K Zheng, S Zheng, C Xing, H Zhang, Y Lan, ... International Conference on Machine Learning, 10524-10533, 2020	442	2020
Accurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks J Ding, A Li, Z Hu, L Wang Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	361	2017
Nesterov accelerated gradient and scale invariance for adversarial attacks J Lin, C Song, K He, L Wang, JE Hopcroft arXiv preprint arXiv:1908.06281, 2019	250	2019
Memory enhanced global-local aggregation for video object detection Y Chen, Y Cao, H Hu, L Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	211	2020
Cross-lingual knowledge graph alignment via graph matching neural network K Xu, L Wang, M Yu, Y Feng, Y Song, Z Wang, D Yu arXiv preprint arXiv:1905.11605, 2019	201	2019
A fast and accurate one-stage approach to visual grounding Z Yang, B Gong, L Wang, W Huang, D Yu, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	199	2019
Frage: Frequency-agnostic word representation C Gong, D He, X Tan, T Qin, L Wang, TY Liu Advances in neural information processing systems 31, 2018	148	2018
The equivalence of two-dimensional PCA to line-based PCA L Wang, X Wang, X Zhang, J Feng Pattern Recognition Letters 26 (1), 57-60, 2005	147	2005
Boosting few-shot learning with adaptive margin loss A Li, W Huang, X Lan, J Feng, Z Li, L Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	144	2020
On the depth of deep neural networks: A theoretical view S Sun, W Chen, L Wang, X Liu, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	142	2016
Learning relationships for multi-view 3D object recognition Z Yang, L Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019	131	2019
Subspace distance analysis with application to adaptive bayesian algorithm for face recognition L Wang, X Wang, J Feng Pattern recognition 39 (3), 456-464, 2006	128	2006
Representation degeneration problem in training natural language generation models J Gao, D He, X Tan, T Qin, L Wang, TY Liu arXiv preprint arXiv:1907.12009, 2019	126	2019

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