Hongxu Yin

According to our database, Hongxu Yin authored at least 64 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models.

Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov

CoRR, 2024

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

CoRR, 2024

NaVILA: Legged Robot Vision-Language-Action Model for Navigation.

An-Chieh Cheng, Yandong Ji, Zhaojing Yang, Xueyan Zou, Jan Kautz, Erdem Biyik, Hongxu Yin, Sifei Liu, Xiaolong Wang

CoRR, 2024

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 Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu

CoRR, 2024

EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation.

Shih-Yang Liu, Huck Yang, Chein-Yi Wang, Nai Chit Fung, Hongxu Yin, Charbel Sakr, Saurav Muralidharan, Kwang-Ting Cheng, Jan Kautz, Yu-Chiang Frank Wang, Pavlo Molchanov, Min-Hung Chen

CoRR, 2024

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.

Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang

CoRR, 2024

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu

CoRR, 2024

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.

Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu

CoRR, 2024

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

CoRR, 2024

VILA²: VILA Augmented VILA.

Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin

CoRR, 2024

Step Out and Seek Around: On Warm-Start Training with Incremental Data.

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez

CoRR, 2024

SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model.

An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu

CoRR, 2024

X-VILA: Cross-Modality Alignment for Large Language Model.

Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin

CoRR, 2024

DoRA: Weight-Decomposed Low-Rank Adaptation.

Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Flextron: Many-in-One Flexible Large Language Model.

Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.

Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FasterViT: Fast Vision Transformers with Hierarchical Attention.

Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks.

Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LITA: Language Instructed Temporal-Localization Assistant.

De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz

Proceedings of the Computer Vision - ECCV 2024, 2024

VILA: On Pre-training for Visual Language Models.

Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RegionGPT: Towards Region Understanding Vision Language Model.

Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth

IEEE Trans. Medical Imaging, 2023

VILA: On Pre-training for Visual Language Models.

Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han

CoRR, 2023

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.

Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth

CoRR, 2023

Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection.

Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Yin, Qifeng Chen, Jan Kautz, Iuri Frosio

CoRR, 2023

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.

Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat

Proceedings of the International Conference on Machine Learning, 2023

Global Context Vision Transformers.

Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov

Proceedings of the International Conference on Machine Learning, 2023

Global Vision Transformer Pruning with Hessian-Aware Saliency.

Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models.

Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Heterogeneous Continual Learning.

Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks.

Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha

ACM Trans. Embed. Comput. Syst., November, 2022

Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm.

Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha

IEEE Trans. Emerg. Top. Comput., 2022

Fully Dynamic Inference With Deep Neural Networks.

Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha

IEEE Trans. Emerg. Top. Comput., 2022

Incremental Learning Using a Grow-and-Prune Paradigm With Efficient Neural Networks.

Xiaoliang Dai, Hongxu Yin, Niraj K. Jha

IEEE Trans. Emerg. Top. Comput., 2022

Global Context Vision Transformers.

Ali Hatamizadeh, Hongxu Yin, Jan Kautz, Pavlo Molchanov

CoRR, 2022

Structural Pruning via Latency-Saliency Knapsack.

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LANA: Latency Aware Network Acceleration.

Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat

Proceedings of the Computer Vision - ECCV 2022, 2022

A-ViT: Adaptive Tokens for Efficient Vision Transformer.

Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

When to Prune? A Policy towards Early Structural Pruning.

Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GradViT: Gradient Inversion of Vision Transformers.

Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks.

Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

DiabDeep: Pervasive Diabetes Diagnosis Based on Wearable Medical Sensors and Efficient Neural Networks.

Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha

IEEE Trans. Emerg. Top. Comput., 2021

AdaViT: Adaptive Tokens for Efficient Vision Transformer.

Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov

CoRR, 2021

HALP: Hardware-Aware Latency Pruning.

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez

CoRR, 2021

NViT: Vision Transformer Compression and Parameter Redistribution.

Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz

CoRR, 2021

HANT: Hardware-Aware Network Transformation.

Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat

CoRR, 2021

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion.

Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov

CoRR, 2021

MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks.

Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha

CoRR, 2021

Data-free Knowledge Distillation for Object Detection.

Akshay Chawla, Hongxu Yin, Pavlo Molchanov, José M. Álvarez

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

See Through Gradients: Image Batch Recovery via GradInversion.

Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Optimal Quantization Using Scaled Codebook.

Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Grow and Prune Compact, Fast, and Accurate LSTMs.

Xiaoliang Dai, Hongxu Yin, Niraj K. Jha

IEEE Trans. Computers, 2020

Efficient Synthesis of Compact Deep Neural Networks.

Wenhan Xia, Hongxu Yin, Niraj K. Jha

CoRR, 2020

INVITED: Efficient Synthesis of Compact Deep Neural Networks.

Wenhan Xia, Hongxu Yin, Niraj K. Jha

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion.

Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm.

Xiaoliang Dai, Hongxu Yin, Niraj K. Jha

IEEE Trans. Computers, 2019

Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM.

Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha

CoRR, 2019

ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Hierarchical Inference Model for Internet-of-Things.

Hongxu Yin, Zeyu Wang, Niraj K. Jha

IEEE Trans. Multi Scale Comput. Syst., 2018

Smart, Secure, Yet Energy-Efficient, Internet-of-Things Sensors.

Ayten Ozge Akmandor, Hongxu Yin, Niraj K. Jha

IEEE Trans. Multi Scale Comput. Syst., 2018

Smart Healthcare.

Hongxu Yin, Ayten Ozge Akmandor, Arsalan Mosenia, Niraj K. Jha

Found. Trends Electron. Des. Autom., 2018

Simultaneously ensuring smartness, security, and energy efficiency in Internet-of-Things sensors.

Ayten Ozge Akmandor, Hongxu Yin, Niraj K. Jha

Proceedings of the 2018 IEEE Custom Integrated Circuits Conference, 2018

2017

A Health Decision Support System for Disease Diagnosis Based on Wearable Medical Sensors and Machine Learning Ensembles.

Hongxu Yin, Niraj K. Jha

IEEE Trans. Multi Scale Comput. Syst., 2017

2015

Novel real-time system design for floating-point sub-Nyquist multi-coset signal blind reconstruction.

Hongxu Yin, Bah-Hwee Gwee, Zhiping Lin, Achanna Anil Kumar, Sirajudeen Gulam Razul, Chong Meng Samson See

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015