Hongxu (Danny) Yin

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Niraj JhaProfessor of Electrical and Computer Engineering,Princeton UniversityVerified email at princeton.edu
Pavlo MolchanovNVIDIA ResearchVerified email at nvidia.com
Jan KautzVice President of Research, NVIDIA ResearchVerified email at nvidia.com
Jose M. AlvarezNVIDIAVerified email at nvidia.com
Xiaoliang DaiResearch Scientist, FacebookVerified email at fb.com
Arun MallyaNVIDIA (Ph.D. - University of Illinois at Urbana-Champaign, B.Tech. - IIT Kharagpur)Verified email at nvidia.com
Arash VahdatSenior Research Manager at NVIDIA ResearchVerified email at nvidia.com
Derek HoiemProfessor of Computer Science, University of IllinoisVerified email at illinois.edu
Holger R. RothNVIDIAVerified email at nvidia.com
Yangqing JiaVP, Alibaba GroupVerified email at daggerfs.com
Bichen WuGenAI at Meta, UC BerkeleyVerified email at berkeley.edu
Hai LiClare Boothe Luce Professor of Electrical and Computer EngineeringVerified email at duke.edu
Nicolo FusiPartner Researcher, Microsoft ResearchVerified email at microsoft.com
Weifeng ZhangLightelligence (Chief Architect, VP of Software)Verified email at lightelligence.ai
Zhiping LinNanyang Technological UniversityVerified email at ntu.edu.sg
Andrew TaoNvidiaVerified email at nvidia.com
H. T. KungProfessor, Harvard UniversityVerified email at harvard.edu
Jiaming SongStanford UniversityVerified email at cs.stanford.edu
Ming-Yu LiuVice President of Research at NVIDIAVerified email at nvidia.com
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke UniversityVerified email at duke.edu

Hongxu (Danny) Yin

Senior Research Scientist, NVIDIA Research; Princeton University

Verified email at princeton.edu - Homepage

Efficient deep learning Computer vision Pruning Knowledge distillation Foundation models


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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion H Yin, P Molchanov, JM Alvarez, Z Li, A Mallya, D Hoiem, NK Jha, J Kautz CVPR 2020 (Oral), 2020	435	2020
See through Gradients: Image Batch Recovery via GradInversion H Yin, A Mallya, A Vahdat, JM Alvarez, J Kautz, P Molchanov CVPR 2021, 2021	305	2021
ChamNet: Towards Efficient Network Design through Platform-aware Model Adaptation X Dai, P Zhang, B Wu, H Yin, F Sun, Y Wang, M Dukhan, Y Hu, Y Wu, ... CVPR 2019, 2019	282	2019
NeST: A Neural Network Synthesis Tool based on a Grow-and-prune Paradigm X Dai, H Yin, NK Jha IEEE Transactions on Computers 68 (10), 1487-1497, 2019	247	2019
A-ViT: Adaptive Tokens for Efficient Vision Transformer H Yin, A Vahdat, JM Alvarez, A Mallya, J Kautz, P Molchanov CVPR 2022 (Oral), 2022	133*	2022
A Health Decision Support System for Disease Diagnosis based on Wearable Medical Sensors and Machine Learning Ensembles H Yin, NK Jha IEEE Transactions on Multi-Scale Computing Systems 3 (4), 228-241, 2017	123	2017
Grow and Prune Compact, Fast, and Accurate LSTMs X Dai, H Yin, NK Jha IEEE Transactions on Computers, 2019	92	2019
Data-Free Knowledge Distillation for Object Detection A Chawla, H Yin, P Molchanov, JM Alvarez WACV 2021, 2021	60	2021
Smart, Secure, Yet Energy-Efficient, Internet-of-Things Sensors A Akmandor, H Yin, NK Jha IEEE Transactions on Multi-Scale Computing Systems 4 (4), 914-930, 2018	55	2018
Global Vision Transformer Pruning with Hessian-Aware Saliency H Yang, H Yin, M Shen, P Molchanov, H Li, J Kautz CVPR 2023, 2023	47*	2023
Smart Healthcare H Yin, A Akmandor, A Mosenia, NK Jha Foundations and Trends® in Electronic Design Automation 12 (4), 401-466, 2018	44	2018
DiabDeep: Pervasive Diabetes Diagnosis Based on Wearable Medical Sensors and Efficient Neural Networks H Yin, B Mukadam, X Dai, NK Jha IEEE Transactions on Emerging Topics in Computing, 2019	43	2019
Global Context Vision Transformers A Hatamizadeh, H Yin, J Kautz, P Molchanov ICML 2023, 2023	35	2023
Incremental Learning Using a Grow-and-prune Paradigm with Efficient Neural Networks X Dai, H Yin, NK Jha IEEE Transactions on Emerging Topics in Computing, 2020	35	2020
Structural Pruning via Latency-Saliency Knapsack M Shen, H Yin, P Molchanov, L Mao, J Liu, JM Alvarez NeurIPS 2022, 2022	28*	2022
GradViT: Gradient Inversion of Vision Transformers A Hatamizadeh, H Yin, H Roth, W Li, J Kautz, D Xu, P Molchanov CVPR 2022, 2022	27	2022
Fully Dynamic Inference with Deep Neural Networks W Xia, H Yin, X Dai, NK Jha IEEE Transactions on Emerging Topics in Computing, 2021	26	2021
A Hierarchical Inference Model for Internet-of-Things H Yin, Z Wang, NK Jha IEEE Transactions on Multi-Scale Computing Systems 4 (3), 260-271, 2018	26	2018
Do Gradient Inversion Attacks Make Federated Learning Unsafe? A Hatamizadeh, H Yin, P Molchanov, A Myronenko, W Li, P Dogra, ... IEEE Transactions on Medical Imaging, 2023	24*	2023
When to Prune? A Policy towards Early Structural Pruning M Shen, P Molchanov, H Yin, J Alvarez CVPR 2022, 2022	20	2022

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