Hao Li

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Hanan SametUniversity of MarylandVerified email at cs.umd.edu
Hans Peter GrafNEC Laboratories AmericaVerified email at nec-labs.com
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Zheng XuGoogle ResearchVerified email at google.com
Christoph StuderAssociate Professor at the Dept. of Information Technology and Electrical Engineering, ETH ZurichVerified email at ethz.ch
Gavin TaylorUS Naval AcademyVerified email at usna.edu
Meng Wang, IEEE Fellow, IAPR FellowHefei University of TechnologyVerified email at hfut.edu.cn
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSVerified email at ucla.edu
Avinash RavichandranPrincipal Applied Scientist, Perception, CruiseVerified email at cis.jhu.edu
Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Charless FowlkesDepartment of Computer Science, University of California, IrvineVerified email at ics.uci.edu
Soham DeDeepMindVerified email at google.com
Alessandro AchilleSenior Applied Scientist, Amazon Web Services and CaltechVerified email at caltech.edu
Xian-Sheng Hua (华先胜)(IEEE Fellow)Terminus GroupVerified email at tslsmart.com
Pratik ChaudhariUniversity of PennsylvaniaVerified email at seas.upenn.edu
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Xilin ChenInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoVerified email at ucsd.edu

Hao Li

AWS AI Labs

Verified email at amazon.com - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Pruning Filters for Efficient ConvNets H Li, A Kadav, I Durdanovic, H Samet, HP Graf International Conference on Learning Representations (ICLR), 2017	3983	2017
Visualizing the Loss Landscape of Neural Nets H Li, Z Xu, G Taylor, C Studer, T Goldstein Neural Information Processing Systems (NeurIPS), 2018	1719	2018
Multimodal Graph-based Reranking for Web Image Search M Wang, H Li, D Tao, K Lu, X Wu IEEE Transactions on Image Processing 21 (11), 4649-4661, 2012	381	2012
Training Quantized Nets: A Deeper Understanding H Li, S De, Z Xu, C Studer, H Samet, T Goldstein Neural Information Processing Systems (NIPS), 2017	214	2017
MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset H Li, M Wang, XS Hua ICDM Workshop on Internet Multimedia Mining, 164-169, 2009	113	2009
Rethinking the Hyperparameters for Fine-tuning H Li, P Chaudhari, H Yang, M Lam, A Ravichandran, R Bhotika, S Soatto International Conference on Learning Representations (ICLR), 2020	103	2020
MALT: Distributed Data-Parallelism for Existing ML Applications H Li, A Kadav, E Kruus, C Ungureanu ACM European Conference on Computer Systems (EuroSys), 2015	78	2015
Adaptive Consensus ADMM for Distributed Optimization Z Xu, G Taylor, H Li, M Figueiredo, X Yuan, T Goldstein International Conference on Machine Learning (ICML), 2017	73	2017
Task Adaptive Parameter Sharing for Multi-Task Learning M Wallingford, H Li, A Achille, A Ravichandran, C Fowlkes, R Bhotika, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022	47	2022
Parallelized machine learning with distributed lockless training A Kadav, E Kruus, H Li US Patent 9,984,337, 2018	42	2018
A linearized framework and a new benchmark for model selection for fine-tuning A Deshpande, A Achille, A Ravichandran, H Li, L Zancato, C Fowlkes, ... arXiv preprint arXiv:2102.00084, 2021	34	2021
Passive pruning of filters in a convolutional neural network A Kadav, I Durdanovic, HP Graf, H Li US Patent 10,832,136, 2020	14	2020
Streaming News Image Summarization H Li, S Peng, H Samet International Conference on Pattern Recognition (ICPR), 2016	5	2016
Content moderation using object detection and image classification H Chen, H Wu, H Li, MQT Lam, X Li, K Kundu, M Wang, JP Tighe, ... US Patent 11,423,265, 2022	4	2022
View-Adaptive Metric Learning for Multi-view Person Re-identification C Yan, S Shan, D Wang, H Li, X Chen Asian Conference on Computer Vision (ACCV), 2014	3	2014
Simplification and Refinement for Speedy Spatio-temporal Hot Spot Detection Using Spark (GIS Cup) S Peng, H Wei, H Li, H Samet ACM SIGSPATIAL, 2017	2	2017
Guided Recommendation for Model Fine-Tuning H Li, C Fowlkes, H Yang, O Dabeer, Z Tu, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	1	2023
Towards Fast and Efficient Representation Learning H Li Doctoral Dissertation. University of Maryland, College Park, 2018	1	2018
Optimizing Multimodal Reranking for Web Image Search H Li, M Wang, Z Li, ZJ Zha, J Shen ACM SIGIR, 1119-1120, 2011	1	2011
Security system using a convolutional neural network with pruned filters A Kadav, I Durdanovic, HP Graf, H Li US Patent 10,885,437, 2021		2021

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