Novel real-time system design for floating-point sub-Nyquist multi-coset signal blind reconstruction. - Hongxu Yin; Bah-Hwee Gwee; Zhiping Lin 001; Achanna Anil Kumar; Sirajudeen Gulam Razul; Chong Meng Samson See (ISCAS, 2015)

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)

Simultaneously ensuring smartness, security, and energy efficiency in Internet-of-Things sensors. - Ayten Ozge Akmandor; Hongxu Yin; Niraj K. Jha (CICC, 2018)

Smart Healthcare. - Hongxu Yin; Ayten Ozge Akmandor; Arsalan Mosenia; Niraj K. Jha (Found. Trends Electron. Des. Autom., 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)

A Hierarchical Inference Model for Internet-of-Things. - Hongxu Yin; Zeyu Wang 004; Niraj K. Jha (IEEE Trans. Multi Scale Comput. Syst., 2018)

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; et al. (CVPR, 2019)

Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM. - Hongxu Yin; Guoyang Chen; Yingmin Li; Shuai Che; Weifeng Zhang 003; Niraj K. Jha (CoRR, 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)

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. - Hongxu Yin; Pavlo Molchanov 001; José M. Álvarez 004; Zhizhong Li 001; Arun Mallya; Derek Hoiem; Niraj K. Jha; Jan Kautz (CVPR, 2020)

INVITED: Efficient Synthesis of Compact Deep Neural Networks. - Wenhan Xia; Hongxu Yin; Niraj K. Jha (DAC, 2020)

Efficient Synthesis of Compact Deep Neural Networks. - Wenhan Xia; Hongxu Yin; Niraj K. Jha (CoRR, 2020)

Grow and Prune Compact, Fast, and Accurate LSTMs. - Xiaoliang Dai; Hongxu Yin; Niraj K. Jha (IEEE Trans. Computers, 2020)

Optimal Quantization Using Scaled Codebook. - Yerlan Idelbayev; Pavlo Molchanov 001; Maying Shen; Hongxu Yin; Miguel Á. Carreira-Perpiñán; José M. Álvarez 004 (CVPR, 2021)

See Through Gradients: Image Batch Recovery via GradInversion. - Hongxu Yin; Arun Mallya; Arash Vahdat; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2021)

Data-free Knowledge Distillation for Object Detection. - Akshay Chawla; Hongxu Yin; Pavlo Molchanov 001; José M. Álvarez 004 (WACV, 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)

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. - Xin Dong 009; Hongxu Yin; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2021)

HANT: Hardware-Aware Network Transformation. - Pavlo Molchanov 001; Jimmy Hall; Hongxu Yin; Jan Kautz; Nicolò Fusi; Arash Vahdat (CoRR, 2021)

NViT: Vision Transformer Compression and Parameter Redistribution. - Huanrui Yang; Hongxu Yin; Pavlo Molchanov 001; Hai Li 001; Jan Kautz (CoRR, 2021)

HALP: Hardware-Aware Latency Pruning. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; Jianna Liu; José M. Álvarez 004 (CoRR, 2021)

AdaViT: Adaptive Tokens for Efficient Vision Transformer. - Hongxu Yin; Arash Vahdat; José M. Álvarez 004; Arun Mallya; Jan Kautz; Pavlo Molchanov 001 (CoRR, 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)

Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. - Xin Dong 009; Hongxu Yin; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001; H. T. Kung 001 (BMVC, 2022)

GradViT: Gradient Inversion of Vision Transformers. - Ali Hatamizadeh; Hongxu Yin; Holger Roth; Wenqi Li 001; Jan Kautz; Daguang Xu; Pavlo Molchanov 001 (CVPR, 2022)

When to Prune? A Policy towards Early Structural Pruning. - Maying Shen; Pavlo Molchanov 001; Hongxu Yin; José M. Álvarez 004 (CVPR, 2022)

A-ViT: Adaptive Tokens for Efficient Vision Transformer. - Hongxu Yin; Arash Vahdat; José M. Álvarez 004; Arun Mallya; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2022)

LANA: Latency Aware Network Acceleration. - Pavlo Molchanov 001; Jimmy Hall; Hongxu Yin; Jan Kautz; Nicolò Fusi; Arash Vahdat (ECCV (12), 2022)

Structural Pruning via Latency-Saliency Knapsack. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; Jianna Liu; José M. Álvarez 004 (NeurIPS, 2022)

Global Context Vision Transformers. - Ali Hatamizadeh; Hongxu Yin; Jan Kautz; Pavlo Molchanov 001 (CoRR, 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)

Fully Dynamic Inference With Deep Neural Networks. - Wenhan Xia; Hongxu Yin; Xiaoliang Dai; Niraj K. Jha (IEEE Trans. Emerg. Top. Comput., 2022)

Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm. - Hongxu Yin; Guoyang Chen; Yingmin Li; Shuai Che; Weifeng Zhang 003; Niraj K. Jha (IEEE Trans. Emerg. Top. Comput., 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., 2022)

Heterogeneous Continual Learning. - Divyam Madaan; Hongxu Yin; Wonmin Byeon; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2023)

Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models. - Paul Micaelli; Arash Vahdat; Hongxu Yin; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2023)

Global Vision Transformer Pruning with Hessian-Aware Saliency. - Huanrui Yang; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; Hai Li 001; Jan Kautz (CVPR, 2023)

Global Context Vision Transformers. - Ali Hatamizadeh; Hongxu Yin; Greg Heinrich; Jan Kautz; Pavlo Molchanov 001 (ICML, 2023)

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. - Jiaming Song; Qinsheng Zhang; Hongxu Yin; Morteza Mardani; Ming-Yu Liu 001; Jan Kautz; Yongxin Chen; Arash Vahdat (ICML, 2023)

Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection. - Yazhou Xing; Amrita Mazumdar; Anjul Patney; Chao Liu 064; Hongxu Yin; Qifeng Chen; Jan Kautz; Iuri Frosio (CoRR, 2023)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yiran Chen 001; Holger R. Roth (CoRR, 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Yao Lu 006; Pavlo Molchanov 001; Andrew Tao; Huizi Mao; Jan Kautz; Mohammad Shoeybi; Song Han 003 (CoRR, 2023)

Do Gradient Inversion Attacks Make Federated Learning Unsafe? - Ali Hatamizadeh; Hongxu Yin; Pavlo Molchanov 001; Andriy Myronenko; Wenqi Li 001; Prerna Dogra; Andrew Feng; Mona G. Flores; Jan Kautz; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 2023)

RegionGPT: Towards Region Understanding Vision Language Model. - Qiushan Guo; Shalini De Mello; Hongxu Yin; Wonmin Byeon; Ka Chun Cheung; Yizhou Yu; Ping Luo 002; Sifei Liu (CVPR, 2024)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Pavlo Molchanov 001; Mohammad Shoeybi; Song Han 003 (CVPR, 2024)

LITA: Language Instructed Temporal-Localization Assistant. - De-An Huang; Shijia Liao; Subhashree Radhakrishnan; Hongxu Yin; Pavlo Molchanov 001; Zhiding Yu; Jan Kautz (ECCV (64), 2024)

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. - Anna Bair; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; José M. Álvarez 004 (ICLR, 2024)

FasterViT: Fast Vision Transformers with Hierarchical Attention. - Ali Hatamizadeh; Greg Heinrich; Hongxu Yin; Andrew Tao; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (ICLR, 2024)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yudong Liu; Zhixu Du; Yiran Chen 001; Holger R. Roth (ICML, 2024)

Flextron: Many-in-One Flexible Large Language Model. - Ruisi Cai; Saurav Muralidharan; Greg Heinrich; Hongxu Yin; Zhangyang Wang; Jan Kautz; Pavlo Molchanov 001 (ICML, 2024)

DoRA: Weight-Decomposed Low-Rank Adaptation. - Shih-Yang Liu; Chien-Yi Wang; Hongxu Yin; Pavlo Molchanov 001; Yu-Chiang Frank Wang; Kwang-Ting Cheng; Min-Hung Chen (ICML, 2024)

SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models. - An-Chieh Cheng; Hongxu Yin; Yang Fu; Qiushan Guo; Ruihan Yang; Jan Kautz; Xiaolong Wang 004; Sifei Liu (NeurIPS, 2024)

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. - Gongfan Fang; Hongxu Yin; Saurav Muralidharan; Greg Heinrich; Jeff Pool; Jan Kautz; Pavlo Molchanov 001; Xinchao Wang (NeurIPS, 2024)

X-VILA: Cross-Modality Alignment for Large Language Model. - Hanrong Ye; De-An Huang; Yao Lu 006; Zhiding Yu; Wei Ping; Andrew Tao; Jan Kautz; Song Han 003; Dan Xu 002; Pavlo Molchanov 001; Hongxu Yin (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 004; Sifei Liu (CoRR, 2024)

Step Out and Seek Around: On Warm-Start Training with Incremental Data. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; José M. Álvarez 004 (CoRR, 2024)

VILA2: VILA Augmented VILA. - Yunhao Fang; Ligeng Zhu; Yao Lu 006; Yan Wang 051; Pavlo Molchanov 001; Jang Hyun Cho; Marco Pavone 001; Song Han 003; Hongxu Yin (CoRR, 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Fuzhao Xue; Yukang Chen; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Ethan He; Hongxu Yin; et al. (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; et al. (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 001; Min-Hung Chen (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (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 004 (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; et al. (CoRR, 2024)

RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models. - Greg Heinrich; Mike Ranzinger; Hongxu Yin; Yao Lu 006; Jan Kautz; Andrew Tao; Bryan Catanzaro; Pavlo Molchanov 001 (CoRR, 2024)

RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models. - Greg Heinrich; Mike Ranzinger; Hongxu Yin; Yao Lu 006; Jan Kautz; Andrew Tao; Bryan Catanzaro; Pavlo Molchanov 001 (CVPR, 2025)

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; Haotian Tang; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

Scaling Vision Pre-Training to 4K Resolution. - Baifeng Shi; Boyi Li; Han Cai; Yao Lu 006; Sifei Liu; Marco Pavone 001; Jan Kautz; Song Han 003; Trevor Darrell; Pavlo Molchanov 001; Hongxu Yin (CVPR, 2025)

LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing. - Ruisi Cai; Saurav Muralidharan; Hongxu Yin; Zhangyang Wang; Jan Kautz; Pavlo Molchanov 001 (ICLR, 2025)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Yukang Chen; Fuzhao Xue; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Yihui He; Hongxu Yin; et al. (ICLR, 2025)

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. - Min Shi; Fuxiao Liu; Shihao Wang; Shijia Liao; Subhashree Radhakrishnan; Yilin Zhao; De-An Huang; Hongxu Yin; Karan Sapra; Yaser Yacoob; Humphrey Shi; Bryan Catanzaro; et al. (ICLR, 2025)

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation. - Yecheng Wu; Zhuoyang Zhang; Junyu Chen 003; Haotian Tang; Dacheng Li; Yunhao Fang; Ligeng Zhu; Enze Xie; Hongxu Yin; Li Yi; Song Han 003; Yao Lu 006 (ICLR, 2025)

Design of a Dual Attention Mechanism for Small Object Detection. - Cheng Qian; Simon Fong 001; Hongxu Yin; Chao Gao; Huafeng Qin; João Alexandre Lôbo Marques (ISCBI, 2025)

AgentUNet: A U-shaped Hybrid Network with CNN-Transformer for Medical Image Segmentation. - Hongxu Yin; Qun Song 007; Cheng Qian; Huafeng Qin; Zhiheng Rao; João Alexandre Lôbo Marques (ISCBI, 2025)

Advancing Weight and Channel Sparsification with Enhanced Saliency. - Xinglong Sun; Maying Shen; Hongxu Yin; Lei Mao; Pavlo Molchanov 001; José M. Álvarez 004 (WACV, 2025)

WorldModelBench: Judging Video Generation Models As World Models. - Dacheng Li; Yunhao Fang; Yukang Chen; Shuo Yang; Shiyi Cao; Justin Wong; Michael Luo; Xiaolong Wang 004; Hongxu Yin; Joseph E. Gonzalez; Ion Stoica; Song Han 003; et al. (CoRR, 2025)

Token-Efficient Long Video Understanding for Multimodal LLMs. - Jindong Jiang; Xiuyu Li; Zhijian Liu; Muyang Li; Guo Chen 006; Zhiqi Li; De-An Huang; Guilin Liu; Zhiding Yu; Kurt Keutzer; Sungjin Ahn; Jan Kautz; et al. (CoRR, 2025)

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. - Shizhe Diao; Yu Yang; Yonggan Fu; Xin Dong 009; Dan Su 003; Markus Kliegl; Zijia Chen; Peter Belcak; Yoshi Suhara; Hongxu Yin; Mostofa Patwary; Yingyan Lin; et al. (CoRR, 2025)

Scaling RL to Long Videos. - Yukang Chen; Wei Huang; Baifeng Shi; Qinghao Hu 004; Hanrong Ye; Ligeng Zhu; Zhijian Liu; Pavlo Molchanov 001; Jan Kautz; Xiaojuan Qi; Sifei Liu; Hongxu Yin; et al. (CoRR, 2025)

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos. - Ruihan Yang; Qinxi Yu; Yecheng Wu; Rui Yan; Borui Li; An-Chieh Cheng; Xueyan Zou; Yunhao Fang; Xuxin Cheng; Ri-Zhao Qiu; Hongxu Yin; Sifei Liu; et al. (CoRR, 2025)