Liwei Wang

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Di HePeking UniversityEmail yang diverifikasi di pku.edu.cn
Tie-Yan LiuPresident, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA FellowEmail yang diverifikasi di bjzgca.edu.cn
Tianle CaiPhD Student, Princeton UniversityEmail yang diverifikasi di princeton.edu
Tao QinPartner Research Manager, Microsoft ResearchEmail yang diverifikasi di microsoft.com
Ze YangUniversity of TorontoEmail yang diverifikasi di cs.toronto.edu
Zhiwu LuProfessor, Renmin University of ChinaEmail yang diverifikasi di ruc.edu.cn
Bohang ZhangPeking UniversityEmail yang diverifikasi di pku.edu.cn
Han HuMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonEmail yang diverifikasi di cs.washington.edu
Han ZhongPeking UniversityEmail yang diverifikasi di stu.pku.edu.cn
Zhenguo LiHuawei Noah's Ark Lab, Columbia, CUHK, PKUEmail yang diverifikasi di huawei.com
John HopcroftCornell UniversityEmail yang diverifikasi di cs.cornell.edu
Tiange LuoUniversity of MichiganEmail yang diverifikasi di umich.edu
Dong WangPhD, Peking UniversityEmail yang diverifikasi di pku.edu.cn
Stephen LinMicrosoft Research AsiaEmail yang diverifikasi di microsoft.com
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityEmail yang diverifikasi di princeton.edu
Ji-Rong WenRenmin University of ChinaEmail yang diverifikasi di ruc.edu.cn
Haochuan LiMIT EECSEmail yang diverifikasi di mit.edu
Tao XiangUniversity of Surrey; Meta AIEmail yang diverifikasi di surrey.ac.uk
Jun GaoUniversity of Toronto, NVIDIAEmail yang diverifikasi di cs.toronto.edu

Ikuti

Liwei Wang

Professor, Peking University

Email yang diverifikasi di cis.pku.edu.cn - Beranda

machine learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	1437	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	1304	2017
Multi-scale orderless pooling of deep convolutional activation features Y Gong, L Wang, R Guo, S Lazebnik Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	1290	2014
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	1208	2019
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	1135	2020
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	1083	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	880	2005
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	773	2013
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	667	2019
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	665	2018
Stratified transformer for 3d point cloud segmentation X Lai, J Liu, L Jiang, L Wang, H Zhao, S Liu, X Qi, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	466	2022
Accurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks J Ding, A Li, Z Hu, L Wang International conference on medical image computing and computer-assisted …, 2017	458	2017
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	407	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	363	2020
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	292	2019
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	289	2019
Improving one-stage visual grounding by recursive sub-query construction Z Yang, T Chen, L Wang, J Luo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	269	2020
Semi-supervised semantic segmentation with directional context-aware consistency X Lai, Z Tian, L Jiang, S Liu, H Zhao, L Wang, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	265	2021
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	236	2020
Dense relation distillation with context-aware aggregation for few-shot object detection H Hu, S Bai, A Li, J Cui, L Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	222	2021

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