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2020 – today
- 2022
[j11]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): 81:1-81:22 (2022)- [j10]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): 752-762 (2022) - [j9]Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha:
Fully Dynamic Inference With Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. 10(2): 962-972 (2022) - [j8]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): 1799-1809 (2022) - [c12]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CVPR 2022: 10011-10020 - [c11]Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
A-ViT: Adaptive Tokens for Efficient Vision Transformer. CVPR 2022: 10799-10808 - [c10]Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez:
When to Prune? A Policy towards Early Structural Pruning. CVPR 2022: 12237-12246 - [c9]Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
LANA: Latency Aware Network Acceleration. ECCV (12) 2022: 137-156 - [i21]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 abs/2202.06924 (2022) - [i20]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CoRR abs/2203.11894 (2022) - [i19]Ali Hatamizadeh, Hongxu Yin, Jan Kautz, Pavlo Molchanov:
Global Context Vision Transformers. CoRR abs/2206.09959 (2022) - [i18]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez:
Structural Pruning via Latency-Saliency Knapsack. CoRR abs/2210.06659 (2022) - 2021
- [j7]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): 1139-1150 (2021) - [c8]Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, Jose M. Alvarez:
Optimal Quantization Using Scaled Codebook. CVPR 2021: 12095-12104 - [c7]Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov:
See Through Gradients: Image Batch Recovery via GradInversion. CVPR 2021: 16337-16346 - [c6]Akshay Chawla, Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez:
Data-free Knowledge Distillation for Object Detection. WACV 2021: 3288-3297 - [i17]Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha:
MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks. CoRR abs/2102.10435 (2021) - [i16]Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov:
See through Gradients: Image Batch Recovery via GradInversion. CoRR abs/2104.07586 (2021) - [i15]Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov:
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. CoRR abs/2107.06304 (2021) - [i14]Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
HANT: Hardware-Aware Network Transformation. CoRR abs/2107.10624 (2021) - [i13]Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz:
NViT: Vision Transformer Compression and Parameter Redistribution. CoRR abs/2110.04869 (2021) - [i12]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez:
HALP: Hardware-Aware Latency Pruning. CoRR abs/2110.10811 (2021) - [i11]Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez:
When to Prune? A Policy towards Early Structural Pruning. CoRR abs/2110.12007 (2021) - [i10]Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
AdaViT: Adaptive Tokens for Efficient Vision Transformer. CoRR abs/2112.07658 (2021) - 2020
- [j6]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Grow and Prune Compact, Fast, and Accurate LSTMs. IEEE Trans. Computers 69(3): 441-452 (2020) - [c5]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: 8712-8721 - [c4]Wenhan Xia, Hongxu Yin, Niraj K. Jha:
INVITED: Efficient Synthesis of Compact Deep Neural Networks. DAC 2020: 1-6 - [i9]Wenhan Xia, Hongxu Yin, Niraj K. Jha:
Efficient Synthesis of Compact Deep Neural Networks. CoRR abs/2004.08704 (2020) - [i8]Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha:
Fully Dynamic Inference with Deep Neural Networks. CoRR abs/2007.15151 (2020)
2010 – 2019
- 2019
- [j5]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): 1487-1497 (2019) - [c3]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: 11398-11407 - [i7]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 abs/1901.10997 (2019) - [i6]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. CoRR abs/1905.10952 (2019) - [i5]Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha:
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks. CoRR abs/1910.04925 (2019) - [i4]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 abs/1912.08795 (2019) - 2018
- [j4]Hongxu Yin, Ayten Ozge Akmandor, Arsalan Mosenia, Niraj K. Jha:
Smart Healthcare. Found. Trends Electron. Des. Autom. 12(4): 401-466 (2018) - [j3]Hongxu Yin, Zeyu Wang, Niraj K. Jha:
A Hierarchical Inference Model for Internet-of-Things. IEEE Trans. Multi Scale Comput. Syst. 4(3): 260-271 (2018) - [j2]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): 914-930 (2018) - [c2]Ayten Ozge Akmandor, Hongxu Yin, Niraj K. Jha:
Simultaneously ensuring smartness, security, and energy efficiency in Internet-of-Things sensors. CICC 2018: 1-8 - [i3]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Grow and Prune Compact, Fast, and Accurate LSTMs. CoRR abs/1805.11797 (2018) - [i2]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 abs/1812.08934 (2018) - 2017
- [j1]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): 228-241 (2017) - [i1]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. CoRR abs/1711.02017 (2017) - 2015
- [c1]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: 954-957
Coauthor Index
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