People

Hongxu Danny Yin

Hongxu (Danny) Yin received his Ph.D. from Princeton University. He is a recipient of Princeton Yan Huo 94* Graduate Fellowship, Princeton Natural Sciences and Engineering Fellowship, Defense Science & Technology Agency gold medal, and Thomson Asia Pacific Holdings gold medal. His research focuses on efficient and secure deep learning. 

Research Area(s)
Algorithms and Numerical Methods
Artificial Intelligence and Machine Learning
Computer Vision
Main Field of Interest
Artificial Intelligence and Machine Learning
Google Scholar
https://scholar.google.com/citations?user=4gdSoOYAAAAJ&hl=en

Publications

2025

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Danny Yin, Yee Man Law, Stephanie Harmon, Benjamin Simon, Greg Heinrich, Stephen Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
CVPR 2025

2024

DoRA: Weight-Decomposed Low-Rank Adaptation
Shih-Yang Liu, Chien-Yi Wang, Hongxu Danny Yin, Pavlo Molchanov, Frank Wang, Kwang-Ting Cheng, Min-Hung Chen
International Conference on Machine Learning (ICML) 2024
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Jingwei Sun, Ziyue Xu, Hongxu Danny Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger Roth
International Conference on Machine Learning 2024
RegionGPT: Towards Region Understanding Vision Language Model
Qiushan Guo, Shalini De Mello, Hongxu Danny Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024
FasterViT: Fast Vision Transformers with Hierarchical Attention
Ali Hatamizadeh , Greg Heinrich, Hongxu Danny Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
International Conference on Learning Representations (ICLR) 2024

2023

Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection
Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Danny Yin, Qifeng Chen, Jan Kautz, Iuri Frosio
Arxiv
Global Context Vision Transformers
Ali Hatamizadeh , Hongxu Danny Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov
International Conference on Machine Learning (ICML) 2023
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
Ali Hatamizadeh, Hongxu Danny Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G Flores, Jan Kautz, Daguang Xu, Holger Roth
IEEE Transactions of Medical Imaging

2022

Structural Pruning via Latency-Saliency Knapsack
Maying Shen, Hongxu Danny Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
NeurIPS 2022
LANA: Latency Aware Network Acceleration
Pavlo Molchanov, Jimmy Hall, Hongxu Danny Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
European Conference on Computer Vision (ECCV), 2022
A-ViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Danny Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Ora…
GradViT: Gradient Inversion of Vision Transformers
Ali Hatamizadeh , Hongxu Danny Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
When to Prune? A Policy towards Early Structural Pruning
Maying Shen, Pavlo Molchanov, Hongxu Danny Yin, Jose M. Alvarez
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022

2021

See through Gradients: Image Batch Recovery via GradInversion
Hongxu Danny Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Optimal Quantization Using Scaled Codebook
Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Danny Yin, Miguel A. Carreira-Perpinan, Jose M. Alvarez
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Data-Free Knowledge Distillation for Object Detection
Akshay Chawla, Hongxu Danny Yin, Pavlo Molchanov, Jose M. Alvarez
WACV 2021

2020

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Danny Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 (Ora…