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Hongxu (Danny) Yin
Hongxu (Danny) Yin
Staff Research Scientist, NVIDIA Research; Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
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
5362020
See through Gradients: Image Batch Recovery via GradInversion
H Yin, A Mallya, A Vahdat, JM Alvarez, J Kautz, P Molchanov
CVPR 2021, 2021
4412021
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
3122019
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
2692019
A-ViT: Adaptive tokens for efficient vision transformer
H Yin, A Vahdat, JM Alvarez, A Mallya, J Kautz, P Molchanov
CVPR 2022 (Oral), 2022
2002022
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
1392017
Grow and Prune Compact, Fast, and Accurate LSTMs
X Dai*, H Yin*, NK Jha
IEEE Transactions on Computers, 2019
1072019
Global Context Vision Transformers
A Hatamizadeh, H Yin, J Kautz, P Molchanov
ICML 2023, 2023
842023
Data-Free Knowledge Distillation for Object Detection
A Chawla, H Yin, P Molchanov, JM Alvarez
WACV 2021, 2021
742021
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
582018
GradViT: Gradient Inversion of Vision Transformers
A Hatamizadeh*, H Yin*, H Roth, W Li, J Kautz, D Xu, P Molchanov
CVPR 2022, 2022
572022
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
552023
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
532024
NViT: Vision Transformer Compression and Parameter Redistribution
H Yang, H Yin, P Molchanov, H Li, J Kautz
532021
DoRA: Weight-Decomposed Low-Rank Adaptation
SY Liu, CY Wang, H Yin, P Molchanov, YCF Wang, KT Cheng, MH Chen
ICML 2024 (Oral), 2024
522024
Smart Healthcare
H Yin, A Akmandor, A Mosenia, NK Jha
Foundations and Trends« in Electronic Design Automation 12 (4), 401-466, 2018
522018
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
502019
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
432020
When to Prune? A Policy towards Early Structural Pruning
M Shen, P Molchanov, H Yin, J Alvarez
CVPR 2022, 2022
422022
Fully Dynamic Inference with Deep Neural Networks
W Xia, H Yin, X Dai, NK Jha
IEEE Transactions on Emerging Topics in Computing, 2021
362021
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