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2020 – today
- 2024
[c18]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CVPR Workshops 2024: 1685-1694- [i15]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CoRR abs/2404.17152 (2024) - [i14]Pierre-David Letourneau, Manish Kumar Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Harper Langston, Hong Cai, Fatih Porikli:
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer. CoRR abs/2407.11306 (2024) - 2023
- [c17]Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li:
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. ICCV (Workshops) 2023: 1345-1349 - [c16]Sweta Priyadarshi, Tianyu Jiang, Hsin-Pai Cheng, Sendil Krishna, Viswanath Ganapathy, Chirag Patel:
DONNAv2 - Lightweight Neural Architecture Search for Vision tasks. ICCV (Workshops) 2023: 1376-1384 - [c15]Mingu Lee, Saurabh Pitre, Tianyu Jiang, Pierre-David Letourneau, Matthew J. Morse, Kanghwan Jang, Joseph Soriaga, Parham Noorzad, Hsin-Pai Cheng, Christopher Lott:
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions. ICLR 2023 - [i13]Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li:
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. CoRR abs/2309.14666 (2023) - [i12]Sweta Priyadarshi, Tianyu Jiang, Hsin-Pai Cheng, Sendil Krishna, Viswanath Ganapathy, Chirag Patel:
DONNAv2 - Lightweight Neural Architecture Search for Vision tasks. CoRR abs/2309.14670 (2023) - 2022
- [c14]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - 2021
- [c13]Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI 2021: 7090-7098 - 2020
- [j4]Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li:
Adversarial Attack: A New Threat to Smart Devices and How to Defend It. IEEE Consumer Electron. Mag. 9(4): 49-55 (2020) - [c12]Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. AAAI 2020: 6829-6836 - [c11]Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh:
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices. MLSys 2020 - [i11]Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh:
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices. CoRR abs/2003.02369 (2020) - [i10]Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li
, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR abs/2007.04452 (2020) - [i9]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR abs/2011.14584 (2020)
2010 – 2019
- 2019
- [j3]Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 411-421 (2019) - [c10]Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li:
Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. SafeAI@AAAI 2019 - [c9]Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen:
Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. AICAS 2019: 276-278 - [c8]Hsin-Pai Cheng, Juncheng Shen, Huanrui Yang, Qing Wu, Hai Li, Yiran Chen:
AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems. ASP-DAC 2019: 518-525 - [c7]Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen:
Towards Decentralized Deep Learning with Differential Privacy. CLOUD 2019: 130-145 - [c6]Jingchi Zhang, Wei Wen, Michael Deisher, Hsin-Pai Cheng, Hai Helen Li, Yiran Chen:
Learning Efficient Sparse Structures in Speech Recognition. ICASSP 2019: 2717-2721 - [c5]Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li:
MSNet: Structural Wired Neural Architecture Search for Internet of Things. ICCV Workshops 2019: 2033-2036 - [i8]Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR abs/1904.07714 (2019) - [i7]Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen:
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. CoRR abs/1906.08305 (2019) - [i6]Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture. CoRR abs/1911.09251 (2019) - 2018
- [j2]Yiran Chen, Hai (Helen) Li, Chunpeng Wu, Chang Song, Sicheng Li, Chuhan Min, Hsin-Pai Cheng, Wei Wen, Xiaoxiao Liu:
Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view. Integr. 61: 49-61 (2018) - [c4]Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Yiran Chen, Hai Li:
MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. ISVLSI 2018: 476-481 - [i5]Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
2018 Low-Power Image Recognition Challenge. CoRR abs/1810.01732 (2018) - [i4]Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen:
Differentiable Fine-grained Quantization for Deep Neural Network Compression. CoRR abs/1810.10351 (2018) - [i3]Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen:
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. CoRR abs/1811.11124 (2018) - [i2]Jingyang Zhang, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen:
Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack. CoRR abs/1812.02524 (2018) - 2017
- [c3]Hsin-Pai Cheng, Wei Wen, Chunpeng Wu, Sicheng Li, Hai Helen Li, Yiran Chen:
Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective. DATE 2017: 139-144 - [i1]Chang Song, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu:
A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. CoRR abs/1705.09764 (2017) - 2016
- [j1]Chunpeng Wu, Hsin-Pai Cheng, Sicheng Li, Hai (Helen) Li, Yiran Chen:
ApesNet: a pixel-wise efficient segmentation network for embedded devices. IET Cyper-Phys. Syst.: Theory & Appl. 1(1): 78-85 (2016) - [c2]Chunpeng Wu, Hsin-Pai Cheng, Sicheng Li, Hai Helen Li, Yiran Chen:
ApesNet: A Pixel-wise Efficient Segmentation Network. ESTIMedia 2016: 2-8 - [c1]Hsin-Pai Cheng, Wei Wen, Chang Song, Beiye Liu, Hai Li, Yiran Chen:
Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss. NANOARCH 2016: 185-190
Coauthor Index
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