Hongxu Yin

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 68

Top Topics

Incremental Learning

Diffusion Models

Top Venues

IEEE Trans. Emerg. Top. Comput.

IEEE Trans. Multi Scale Comput. Syst.

Publications

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez
Step Out and Seek Around: On Warm-Start Training with Incremental Data. CoRR (2024)
Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin
X-VILA: Cross-Modality Alignment for Large Language Model. CoRR (2024)
Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu
RegionGPT: Towards Region Understanding Vision Language Model. CoRR (2024)
De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz
LITA: Language Instructed Temporal-Localization Assistant. CoRR (2024)
Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin
: VILA Augmented VILA. CoRR (2024)
Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen
DoRA: Weight-Decomposed Low-Rank Adaptation. CoRR (2024)
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. ICLR (2024)
An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu
SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model. CoRR (2024)
Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
Flextron: Many-in-One Flexible Large Language Model. CoRR (2024)
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
FasterViT: Fast Vision Transformers with Hierarchical Attention. ICLR (2024)
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
FasterViT: Fast Vision Transformers with Hierarchical Attention. CoRR (2023)
Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR (2023)
Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz
Global Vision Transformer Pruning with Hessian-Aware Saliency. CVPR (2023)
Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han
VILA: On Pre-training for Visual Language Models. CoRR (2023)
Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. ICML (2023)
Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Yin, Qifeng Chen, Jan Kautz, Iuri Frosio
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection. CoRR (2023)
Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models. CVPR (2023)
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov
Heterogeneous Continual Learning. CVPR (2023)
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. CoRR (2023)
Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov
Global Context Vision Transformers. ICML (2023)
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging 42 (7) (2023)
Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models. CoRR (2023)
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov
Heterogeneous Continual Learning. CoRR (2023)
Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
GradViT: Gradient Inversion of Vision Transformers. CVPR (2022)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Incremental Learning Using a Grow-and-Prune Paradigm With Efficient Neural Networks. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR (2022)
Ali Hatamizadeh, Hongxu Yin, Jan Kautz, Pavlo Molchanov
Global Context Vision Transformers. CoRR (2022)
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
Fully Dynamic Inference With Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
A-ViT: Adaptive Tokens for Efficient Vision Transformer. CVPR (2022)
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
Structural Pruning via Latency-Saliency Knapsack. NeurIPS (2022)
Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez
When to Prune? A Policy towards Early Structural Pruning. CVPR (2022)
Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha
Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
Structural Pruning via Latency-Saliency Knapsack. CoRR (2022)
Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. BMVC (2022)
Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat
LANA: Latency Aware Network Acceleration. ECCV (12) (2022)
Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
GradViT: Gradient Inversion of Vision Transformers. CoRR (2022)
Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez
When to Prune? A Policy towards Early Structural Pruning. CoRR (2021)
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
DiabDeep: Pervasive Diabetes Diagnosis Based on Wearable Medical Sensors and Efficient Neural Networks. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
HALP: Hardware-Aware Latency Pruning. CoRR (2021)
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
See through Gradients: Image Batch Recovery via GradInversion. CoRR (2021)
Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat
HANT: Hardware-Aware Network Transformation. CoRR (2021)
Akshay Chawla, Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez
Data-free Knowledge Distillation for Object Detection. WACV (2021)
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
See Through Gradients: Image Batch Recovery via GradInversion. CVPR (2021)
Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. CoRR (2021)
Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
AdaViT: Adaptive Tokens for Efficient Vision Transformer. CoRR (2021)
Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz
NViT: Vision Transformer Compression and Parameter Redistribution. CoRR (2021)
Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, Jose M. Alvarez
Optimal Quantization Using Scaled Codebook. CVPR (2021)
Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha
MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks. CoRR (2021)
Wenhan Xia, Hongxu Yin, Niraj K. Jha
Efficient Synthesis of Compact Deep Neural Networks. CoRR (2020)
Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR (2020)
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
Fully Dynamic Inference with Deep Neural Networks. CoRR (2020)
Wenhan Xia, Hongxu Yin, Niraj K. Jha
INVITED: Efficient Synthesis of Compact Deep Neural Networks. DAC (2020)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Grow and Prune Compact, Fast, and Accurate LSTMs. IEEE Trans. Computers 69 (3) (2020)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. CoRR (2019)
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks. CoRR (2019)
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. CVPR (2019)
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR (2019)
Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM. CoRR (2019)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. IEEE Trans. Computers 68 (10) (2019)
Hongxu Yin, Ayten Ozge Akmandor, Arsalan Mosenia, Niraj K. Jha
Smart Healthcare. Found. Trends Electron. Des. Autom. 12 (4) (2018)
Ayten Ozge Akmandor, Hongxu Yin, Niraj K. Jha
Smart, Secure, Yet Energy-Efficient, Internet-of-Things Sensors. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Ayten Ozge Akmandor, Hongxu Yin, Niraj K. Jha
Simultaneously ensuring smartness, security, and energy efficiency in Internet-of-Things sensors. CICC (2018)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Grow and Prune Compact, Fast, and Accurate LSTMs. CoRR (2018)
Hongxu Yin, Zeyu Wang, Niraj K. Jha
A Hierarchical Inference Model for Internet-of-Things. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (2018)
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. CoRR (2018)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. CoRR (2017)
Hongxu Yin, Niraj K. Jha
A Health Decision Support System for Disease Diagnosis Based on Wearable Medical Sensors and Machine Learning Ensembles. IEEE Trans. Multi Scale Comput. Syst. 3 (4) (2017)
Hongxu Yin, Bah-Hwee Gwee, Zhiping Lin, Achanna Anil Kumar, Sirajudeen Gulam Razul, Chong Meng Samson See
Novel real-time system design for floating-point sub-Nyquist multi-coset signal blind reconstruction. ISCAS (2015)