Hongxu Danny Yin ![](/sites/default/files/person/hongxu.png) 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](/index.php/research-area/algorithms) [Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence) [Computer Vision](/index.php/research-area/computer-vision) Main Field of Interest [Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence) Google Scholar [https://scholar.google.com/citations?user=4gdSoOYAAAAJ&hl=en](https://scholar.google.com/citations?user=4gdSoOYAAAAJ&hl=en) ### Publications ### 2024 [DoRA: Weight-Decomposed Low-Rank Adaptation](/publication/2024-07_dora-weight-decomposed-low-rank-adaptation) Shih-Yang Liu, Chien-Yi Wang, [Hongxu Danny Yin](/person/danny-yin), [Pavlo Molchanov](/person/pavlo-molchanov), [Frank Wang](/person/frank-wang), Kwang-Ting Cheng, [Min-Hung Chen](/person/min-hung-chen) [International Conference on Machine Learning (ICML) 2024](https://icml.cc/Conferences/2024) [RegionGPT: Towards Region Understanding Vision Language Model](/publication/2024-06_regiongpt-towards-region-understanding-vision-language-model) Qiushan Guo, [Shalini De Mello](/person/shalini-de-mello), [Hongxu Danny Yin](/person/danny-yin), [Wonmin Byeon](/person/wonmin-byeon), Ka Chun Cheung, Yizhou Yu, Ping Luo, [Sifei Liu](/person/sifei-liu) [IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024](https://openaccess.thecvf.com/content/CVPR2024/papers/Guo_RegionGPT_Towards_Region_Understanding_Vision_Language_Model_CVPR_2024_paper.pdf) [FasterViT: Fast Vision Transformers with Hierarchical Attention](/publication/2024-05_fastervit-fast-vision-transformers-hierarchical-attention) Ali Hatamizadeh , [Greg Heinrich](/person/greg-heinrich), [Hongxu Danny Yin](/person/danny-yin), Andrew Tao, Jose M. Alvarez, [Jan Kautz](/person/jan-kautz), [Pavlo Molchanov](/person/pavlo-molchanov) [International Conference on Learning Representations (ICLR) 2024](https://iclr.cc/) ### 2023 [Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection](/publication/2023-08_online-overexposed-pixels-hallucination-videos-adaptive-reference-frame) Yazhou Xing, [Amrita Mazumdar](/person/amrita-mazumdar), Anjul Patney, [Chao Liu](/person/chao-liu), [Hongxu Danny Yin](/person/danny-yin), Qifeng Chen, [Jan Kautz](/person/jan-kautz), [Iuri Frosio](/person/iuri-frosio) [Arxiv](https://arxiv.org/abs/2308.15462) [Global Context Vision Transformers](/publication/2023-07_global-context-vision-transformers) Ali Hatamizadeh , [Hongxu Danny Yin](/person/danny-yin), [Greg Heinrich](/person/greg-heinrich), [Jan Kautz](/person/jan-kautz), [Pavlo Molchanov](/person/pavlo-molchanov) [ International Conference on Machine Learning (ICML) 2023](https://icml.cc/Conferences/2023) ### 2022 [Structural Pruning via Latency-Saliency Knapsack](/publication/2022-11_structural-pruning-latency-saliency-knapsack) Maying Shen, [Hongxu Danny Yin](/person/danny-yin), [Pavlo Molchanov](/person/pavlo-molchanov), Lei Mao, Jianna Liu, Jose M. Alvarez [NeurIPS 2022](https://nips.cc/Conferences/2022/ScheduleMultitrack?event=52841) [LANA: Latency Aware Network Acceleration](/publication/2022-10_lana-latency-aware-network-acceleration) [Pavlo Molchanov](/person/pavlo-molchanov), Jimmy Hall, [Hongxu Danny Yin](/person/danny-yin), [Jan Kautz](/person/jan-kautz), Nicolo Fusi, [Arash Vahdat](/person/arash-vahdat) [European Conference on Computer Vision (ECCV), 2022](https://arxiv.org/abs/2107.10624) [A-ViT: Adaptive Tokens for Efficient Vision Transformer](/index.php/publication/2022-06_vit-adaptive-tokens-efficient-vision-transformer) [Hongxu Danny Yin](/index.php/person/danny-yin), [Arash Vahdat](/index.php/person/arash-vahdat), Jose M. Alvarez, Arun Mallya, [Jan Kautz](/index.php/person/jan-kautz), [Pavlo Molchanov](/index.php/person/pavlo-molchanov) IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Ora… [GradViT: Gradient Inversion of Vision Transformers](/publication/2022-05_gradvit-gradient-inversion-vision-transformers) Ali Hatamizadeh , [Hongxu Danny Yin](/person/danny-yin), [Holger Roth](/person/holger-roth), [Wenqi Li](/person/wenqi-li), [Jan Kautz](/person/jan-kautz), [Daguang Xu](/person/daguang-xu), [Pavlo Molchanov](/person/pavlo-molchanov) [IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022](https://cvpr2022.thecvf.com/) [When to Prune? A Policy towards Early Structural Pruning](/publication/2022-05_when-prune-policy-towards-early-structural-pruning) Maying Shen, [Pavlo Molchanov](/person/pavlo-molchanov), [Hongxu Danny Yin](/person/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](/publication/2021-06_see-through-gradients-image-batch-recovery-gradinversion) [Hongxu Danny Yin](/person/danny-yin), Arun Mallya, [Arash Vahdat](/person/arash-vahdat), Jose M. Alvarez, [Jan Kautz](/person/jan-kautz), [Pavlo Molchanov](/person/pavlo-molchanov) [IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021](https://openaccess.thecvf.com/content/CVPR2021/papers/Yin_See_Through_Gradients_Image_Batch_Recovery_via_GradInversion_CVPR_2021_paper.pdf) [Optimal Quantization Using Scaled Codebook](/index.php/publication/2021-06_optimal-quantization-using-scaled-codebook) Yerlan Idelbayev, [Pavlo Molchanov](/index.php/person/pavlo-molchanov), Maying Shen, [Hongxu Danny Yin](/index.php/person/danny-yin), Miguel A. Carreira-Perpinan, Jose M. Alvarez [IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Idelbayev_Optimal_Quantization_Using_Scaled_Codebook_CVPR_2021_paper.html) [Data-Free Knowledge Distillation for Object Detection](/publication/2021-01_data-free-knowledge-distillation-object-detection) Akshay Chawla, [Hongxu Danny Yin](/person/danny-yin), [Pavlo Molchanov](/person/pavlo-molchanov), Jose M. Alvarez [WACV 2021](https://openaccess.thecvf.com/content/WACV2021/html/Chawla_Data-Free_Knowledge_Distillation_for_Object_Detection_WACV_2021_paper.html) ### 2020 [Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion](/index.php/publication/2020-06_dreaming-distill-data-free-knowledge-transfer-deepinversion) [Hongxu Danny Yin](/index.php/person/danny-yin), [Pavlo Molchanov](/index.php/person/pavlo-molchanov), Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, [Jan Kautz](/index.php/person/jan-kautz) [IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 (Ora…](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yin_Dreaming_to_Distill_Data-Free_Knowledge_Transfer_via_DeepInversion_CVPR_2020_paper.pdf)