Zhangyang (Atlas) Wang

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Shiyu ChangUniversity of California, Santa BarbaraVerified email at cs.ucsb.edu
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
Yu ChengVisiting Professor at Rice UniversityVerified email at rice.edu
Sijia LiuMichigan State University & MIT-IBM Watson AI LabVerified email at msu.edu
Humphrey Shi𝐆𝐞𝐨𝐫𝐠𝐢𝐚 𝐓𝐞𝐜𝐡 | Oregon, UIUC | Picsart AI Research (PAIR)Verified email at gatech.edu
Qing LingSchool of Computer Science and Engineering, Sun Yat-Sen UniversityVerified email at mail.sysu.edu.cn
Jiayu ZhouAssociate Professor at Michigan State UniversityVerified email at cse.msu.edu
Wotao YinDAMO Academy, Alibaba Group USVerified email at alibaba-inc.com
Ji LiuMetaVerified email at meta.com
Yifan PengAssistant Professor at Weill Cornell MedicineVerified email at med.cornell.edu
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Rohan KheraYale UniversityVerified email at yale.edu
Jonathan FrankleMassachusetts Institute of TechnologyVerified email at mit.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
Denny ZhouResearch Scientist, Google DeepMindVerified email at google.com
Cong (Callie) HaoGeorgia Institute of TechnologyVerified email at gatech.edu
Yingbin LiangThe Ohio State UniversityVerified email at osu.edu
Pan LiGeorgia Institute of Technology, Purdue UniversityVerified email at gatech.edu
Beidi ChenCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Boris HaninAssistant Professor, Princeton ORFEVerified email at princeton.edu

Zhangyang (Atlas) Wang

University of Texas at Austin & Picsart AI Research

Verified email at utexas.edu - Homepage

ML Efficient AI Sparsity Generative AI LLM


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Aod-net: All-in-one dehazing network B Li, X Peng, Z Wang, J Xu, D Feng Proceedings of the IEEE international conference on computer vision, 4770-4778, 2017	1588	2017
Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ... Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017	1490	2017
Benchmarking single-image dehazing and beyond B Li, W Ren, D Fu, D Tao, D Feng, W Zeng, Z Wang IEEE Transactions on Image Processing 28 (1), 492-505, 2018	1378	2018
Graph Contrastive Learning with Augmentations Y You, T Chen, Y Sui, T Chen, Z Wang, Y Shen Advances in Neural Information Processing Systems (NeurIPS), 2020	1261	2020
Unitbox: An advanced object detection network J Yu, Y Jiang, Z Wang, Z Cao, T Huang Proceedings of the 24th ACM international conference on Multimedia, 516-520, 2016	1235	2016
EnlightenGAN: Deep light enhancement without paired supervision Y Jiang, X Gong, D Liu, Y Cheng, C Fang, X Shen, J Yang, P Zhou, ... IEEE Transactions on Image Processing (TIP), 2020	1137	2020
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better O Kupyn, T Martyniuk, J Wu, Z Wang IEEE International Conference on Computer Vision (ICCV), 2019	800	2019
ABD-Net: Attentive but Diverse Person Re-Identification T Chen, S Ding, J Xie, Y Yuan, W Chen, Y Yang, Z Ren, Z Wang IEEE International Conference on Computer Vision (ICCV), 2019	514	2019
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Y Jiang, S Chang, Z Wang Thirty-Fifth Conference on Neural Information Processing Systems, 2021	483*	2021
DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks M Karimi, D Wu, Z Wang, Y Shen Bioinformatics 35 (18), 3329-3338, 2019	342	2019
Can we gain more from orthogonality regularizations in training deep networks? N Bansal, X Chen, Z Wang Advances in Neural Information Processing Systems 31, 2018	308	2018
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers EK Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin International Conference on Machine Learning (ICML), 2019	298	2019
The lottery ticket hypothesis for pre-trained bert networks T Chen, J Frankle, S Chang, S Liu, Y Zhang, Z Wang, M Carbin Advances in Neural Information Processing Systems (NeurIPS), 2020	287	2020
Graph Contrastive Learning Automated Y You, T Chen, Y Shen, Z Wang International Conference on Machine Learning (ICML), 2021	285	2021
AutoGAN: Neural architecture search for generative adversarial networks X Gong, S Chang, Y Jiang, Z Wang Proceedings of the IEEE International Conference on Computer Vision, 3224-3234, 2019	278	2019
Studying very low resolution recognition using deep networks Z Wang, S Chang, Y Yang, D Liu, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	278	2016
Single Image Deraining: A Comprehensive Benchmark Analysis S Li, IB Araujo, W Ren, Z Wang, EK Tokuda, RH Junior, R Cesar-Junior, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019	277	2019
Robust video super-resolution with learned temporal dynamics D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, T Huang Proceedings of the IEEE International Conference on Computer Vision, 2507-2515, 2017	236	2017
D3: Deep dual-domain based fast restoration of jpeg-compressed images Z Wang, D Liu, S Chang, Q Ling, Y Yang, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	221	2016
Drawing early-bird tickets: Towards more efficient training of deep networks H You, C Li, P Xu, Y Fu, Y Wang, X Chen, Y Lin, Z Wang, RG Baraniuk International Conference on Learning Representation (ICLR), 2020	220	2020

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