Huan Wang

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Yun Raymond FuNEU, COE Distinguished Professor; MAE, FNAI, FAAAS, FIEEE, FAAAI, FSPIE, FOSA, FIAPREmail yang diverifikasi di neu.edu
Can QinSalesforceEmail yang diverifikasi di salesforce.com
Yulun ZhangAssociate Professor, Shanghai Jiao Tong UniversityEmail yang diverifikasi di sjtu.edu.cn
Yue BaiNortheastern UniversityEmail yang diverifikasi di northeastern.edu
Qiming ZhangUniversity of SydneyEmail yang diverifikasi di uni.sydney.edu.au
Jian RenEmail yang diverifikasi di rutgers.edu
Haoji HuZhejiang Univeristy, ChinaEmail yang diverifikasi di zju.edu.cn
Sergey TulyakovDirector of Research, Snap Inc.Email yang diverifikasi di snap.com
Yitian ZhangNortheastern UniversityEmail yang diverifikasi di northeastern.edu
Xu MaNortheastern UniversityEmail yang diverifikasi di northeastern.edu
Menglei ChaiBabysitter and Research Scientist, GoogleEmail yang diverifikasi di google.com
Michael JonesResearcher, MERLEmail yang diverifikasi di merl.com
Suhas LohitPrincipal Research Scientist, Mitsubishi Electric Research LaboratoriesEmail yang diverifikasi di merl.com
Zhiqiang TaoAssistant Professor, Rochester Institute of TechnologyEmail yang diverifikasi di rit.edu
Zeng HuangGoogleEmail yang diverifikasi di google.com
Kunpeng LiResearch Scientist, Meta GenAIEmail yang diverifikasi di meta.com
Yijun LiAdobe ResearchEmail yang diverifikasi di adobe.com
Ming-Hsuan YangUniversity of California at Merced; Google DeepMindEmail yang diverifikasi di ucmerced.edu

Ikuti

Huan Wang

Nama lainnya王欢

Westlake University

Email yang diverifikasi di westlake.edu.cn - Beranda

Efficient AI Computer Vision Language Modeling Deep Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
MNN: A universal and efficient inference engine X Jiang, H Wang, Y Chen, Z Wu, L Wang, B Zou, Y Yang, Z Cui, Y Cai, ... MLSys'20, Code: https://github.com/alibaba/MNN, 2020	188	2020
Neural pruning via growing regularization H Wang, C Qin, Y Zhang, Y Fu ICLR'21, Code: https://github.com/MingSun-Tse/Regularization-Pruning, 2021	187	2021
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds Y Li, H Wang, Q Jin*, J Hu, P Chemerys, Y Fu, Y Wang, S Tulyakov, ... NeurIPS'23, Project: https://snap-research.github.io/SnapFusion, 2023	146	2023
Collaborative distillation for ultra-resolution universal style transfer H Wang, Y Li, Y Wang, H Hu, MH Yang CVPR'20, Code: https://github.com/MingSun-Tse/Collaborative-Distillation, 2020	126	2020
Recent Advances on Neural Network Pruning at Initialization H Wang, C Qin, Y Bai, Y Zhang, Y Fu IJCAI'22, 2022	123*	2022
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis H Wang, J Ren, Z Huang, K Olszewski, M Chai, Y Fu, S Tulyakov ECCV'22, Project: https://snap-research.github.io/R2L, 2022	88	2022
Context reasoning attention network for image super-resolution Y Zhang, D Wei, C Qin, H Wang, H Pfister, Y Fu ICCV'21, 4278-4287, 2021	88	2021
Structured probabilistic pruning for deep convolutional neural network acceleration H Wang, Q Zhang, Y Wang, H Hu BMVC'18 (Oral), Code: https://github.com/MingSun-Tse/Caffe_IncReg, 2018	87*	2018
Image as Set of Points X Ma, Y Zhou, H Wang, C Qin, B Sun, C Liu, Y Fu ICLR'23 (Oral, top 5%), Code: https://github.com/ma-xu/Context-Cluster, 2023	74	2023
Structured Pruning for Efficient ConvNets via Incremental Regularization H Wang, Q Zhang, Y Wang, L Yu, H Hu IJCNN'19 (Oral), NeurIPS'18 Workshop, Code: https://github.com/MingSun-Tse …, 2019	71*	2019
Contradictory Structure Learning for Semi-supervised Domain Adaptation C Qin, L Wang, Q Ma, Y Yin, H Wang, Y Fu SIAM International Conference on Data Mining (SDM), 576-584, 2021	65	2021
What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective H Wang, S Lohit, M Jones, Y Fu NeurIPS'22, Code: https://github.com/MingSun-Tse/Good-DA-in-KD, 2022	63*	2022
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution H Wang, Y Zhang, C Qin, Y Fu NeurIPS'21 (Spotlight, 3%), Code: https://github.com/MingSun-Tse/ASSL, 2021	61	2021
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning H Wang, Y Zhang, C Qin, Y Fu ICLR'22, Code: https://github.com/MingSun-Tse/SRP, 2022	59	2022
Triplet distillation for deep face recognition Y Feng, H Wang, R Hu, DT Yi ICML'19 Workshop, ICIP'20, 2019	58	2019
Real-Time Neural Light Field on Mobile Devices J Cao, H Wang, P Chemerys, V Shakhrai, J Hu, Y Fu, D Makoviichuk, ... CVPR'23, Project: https://snap-research.github.io/MobileR2L/, 2023	55	2023
Dual Lottery Ticket Hypothesis Y Bai, H Wang, Z Tao, K Li, Y Fu ICLR'22, Code: https://github.com/yueb17/DLTH, 2022	51	2022
Trainability preserving neural pruning H Wang, Y Fu ICLR'23, Code: https://github.com/MingSun-Tse/TPP, 2023	43	2023
Structured pruning for efficient convolutional neural networks via incremental regularization H Wang, X Hu, Q Zhang, Y Wang, L Yu, H Hu IEEE Journal of Selected Topics in Signal Processing 14 (4), 775-788, 2019	42	2019
Semi-supervised Domain Adaptive Structure Learning C Qin, L Wang, Q Ma, Y Yin, H Wang, Y Fu TIP'22, 2022	28	2022

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