Hsin-Pai Cheng

According to our database, Hsin-Pai Cheng authored at least 32 papers between 2016 and 2024.

Collaborative distances:

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

2024

PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer.

Pierre-David Letourneau, Manish Kumar Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Harper Langston, Hong Cai, Fatih Porikli

CoRR, 2024

CSCO: Connectivity Search of Convolutional Operators.

Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen

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

2023

Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions.

Mingu Lee, Saurabh Pitre, Tianyu Jiang, Pierre-David Letourneau, Matthew J. Morse, Kanghwan Jang, Joseph Soriaga, Parham Noorzad, Hsin-Pai Cheng, Christopher Lott

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DONNAv2 - Lightweight Neural Architecture Search for Vision tasks.

Sweta Priyadarshi, Tianyu Jiang, Hsin-Pai Cheng, Sendil Krishna, Viswanath Ganapathy, Chirag Patel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks.

Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation.

Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition.

Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

CoRR, 2020

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen

CoRR, 2020

Adversarial Attack: A New Threat to Smart Devices and How to Defend It.

Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li

IEEE Consumer Electron. Mag., 2020

Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices.

Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh

Proceedings of the Third Conference on Machine Learning and Systems, 2020

AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture.

Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Low-Power Computer Vision: Status, Challenges, and Opportunities.

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

IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures.

Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen

CoRR, 2019

Low-Power Computer Vision: Status, Challenges, Opportunities.

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

CoRR, 2019

MSNet: Structural Wired Neural Architecture Search for Internet of Things.

Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning Efficient Sparse Structures in Speech Recognition.

Jingchi Zhang, Wei Wen, Michael Deisher, Hsin-Pai Cheng, Hai Helen Li, Yiran Chen

Proceedings of the IEEE International Conference on Acoustics, 2019

Towards Decentralized Deep Learning with Differential Privacy.

Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen

Proceedings of the Cloud Computing - CLOUD 2019, 2019

AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems.

Hsin-Pai Cheng, Juncheng Shen, Huanrui Yang, Qing Wu, Hai Li, Yiran Chen

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Exploration of Automatic Mixed-Precision Search for Deep Neural Networks.

Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen

Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions.

Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view.

Yiran Chen, Hai (Helen) Li, Chunpeng Wu, Chang Song, Sicheng Li, Chuhan Min, Hsin-Pai Cheng, Wei Wen, Xiaoxiao Liu

Integr., 2018

Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack.

Jingyang Zhang, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen

CoRR, 2018

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning.

Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen

CoRR, 2018

Differentiable Fine-grained Quantization for Deep Neural Network Compression.

Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen

CoRR, 2018

2018 Low-Power Image Recognition Challenge.

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

CoRR, 2018

MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks.

Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Yiran Chen, Hai Li

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

2017

A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks.

Chang Song, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu

CoRR, 2017

Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective.

Hsin-Pai Cheng, Wei Wen, Chunpeng Wu, Sicheng Li, Hai Helen Li, Yiran Chen

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

ApesNet: a pixel-wise efficient segmentation network for embedded devices.

Chunpeng Wu, Hsin-Pai Cheng, Sicheng Li, Hai (Helen) Li, Yiran Chen

IET Cyper-Phys. Syst.: Theory & Appl., 2016

Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss.

Hsin-Pai Cheng, Wei Wen, Chang Song, Beiye Liu, Hai Li, Yiran Chen

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2016

ApesNet: A Pixel-wise Efficient Segmentation Network.

Chunpeng Wu, Hsin-Pai Cheng, Sicheng Li, Hai Helen Li, Yiran Chen

Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time Multimedia, 2016