Hongxu (Danny) Yin

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Pavlo MolchanovNVIDIA ResearchVerified email at nvidia.com
Jan KautzVice President of Research, NVIDIA ResearchVerified email at nvidia.com
Niraj JhaProfessor of Electrical and Computer Engineering,Princeton UniversityVerified email at princeton.edu
Jose M. AlvarezNVIDIAVerified email at nvidia.com
Xiaoliang DaiResearch Scientist, FacebookVerified email at fb.com
Arun MallyaPh.D. - University of Illinois at Urbana-Champaign, B.Tech. - IIT KharagpurVerified email at nvidia.com
Holger R. RothNVIDIAVerified email at nvidia.com
Song HanMassachusetts Institute of TechnologyVerified email at mit.edu
Derek HoiemProfessor of Computer Science, University of IllinoisVerified email at illinois.edu
Yangqing JiaFounder, Lepton AIVerified email at daggerfs.com
Wei PingPrincipal Research Scientist, NVIDIAVerified email at nvidia.com
Hai LiMarie Foote Reel E'46 Distinguished Professor of ECE Dept, Duke Univ.Verified email at duke.edu
Andrew TaoNvidiaVerified email at nvidia.com
Mohammad ShoeybiDirector of Applied Research at NVIDIAVerified email at nvidia.com
Jiaming SongStanford UniversityVerified email at cs.stanford.edu
Ming-Yu LiuVice President of Research at NVIDIAVerified email at nvidia.com
Zhiding YuPrincipal Research Scientist & Research Lead, NVIDIA ResearchVerified email at nvidia.com
Nicolò FusiPartner Researcher, Microsoft ResearchVerified email at microsoft.com
Sifei LiuNVIDIAVerified email at nvidia.com
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke UniversityVerified email at duke.edu

Hongxu (Danny) Yin

Staff Research Scientist, NVIDIA Research; Princeton University

Verified email at princeton.edu - Homepage

Efficient deep learning Computer vision Artificial intelligence 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	590	2020
See through Gradients: Image Batch Recovery via GradInversion H Yin, A Mallya, A Vahdat, JM Alvarez, J Kautz, P Molchanov CVPR 2021, 2021	476	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	322	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	278	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	232	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	144	2017
Grow and Prune Compact, Fast, and Accurate LSTMs X Dai, H Yin, NK Jha IEEE Transactions on Computers, 2019	112	2019
DoRA: Weight-Decomposed Low-Rank Adaptation SY Liu, CY Wang, H Yin, P Molchanov, YCF Wang, KT Cheng, MH Chen ICML 2024 (Oral), 2024	107	2024
Global Context Vision Transformers A Hatamizadeh, H Yin, J Kautz, P Molchanov ICML 2023, 2023	107	2023
VILA: On Pre-training for Visual Language Models J Lin, H Yin, W Ping, Y Lu, P Molchanov, A Tao, H Mao, J Kautz, ... CVPR 2024, 2024	100	2024
Data-Free Knowledge Distillation for Object Detection A Chawla, H Yin, P Molchanov, JM Alvarez WACV 2021, 2021	80	2021
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	65	2023
GradViT: Gradient Inversion of Vision Transformers A Hatamizadeh, H Yin, H Roth, W Li, J Kautz, D Xu, P Molchanov CVPR 2022, 2022	64	2022
NViT: Vision Transformer Compression and Parameter Redistribution H Yang, H Yin, P Molchanov, H Li, J Kautz	58	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	58	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	55	2019
Smart Healthcare H Yin, A Akmandor, A Mosenia, NK Jha Foundations and Trends® in Electronic Design Automation 12 (4), 401-466, 2018	55	2018
When to Prune? A Policy towards Early Structural Pruning M Shen, P Molchanov, H Yin, J Alvarez CVPR 2022, 2022	48	2022
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	45	2020
Fully Dynamic Inference with Deep Neural Networks W Xia, H Yin, X Dai, NK Jha IEEE Transactions on Emerging Topics in Computing, 2021	41	2021

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