ApesNet: A Pixel-wise Efficient Segmentation Network. - Chunpeng Wu; Hsin-Pai Cheng; Sicheng Li 001; Hai Helen Li; Yiran Chen 001 (ESTIMedia, 2016)

Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss. - Hsin-Pai Cheng; Wei Wen; Chang Song 001; Beiye Liu; Hai Li 001; Yiran Chen 001 (NANOARCH, 2016)

ApesNet: a pixel-wise efficient segmentation network for embedded devices. - Chunpeng Wu; Hsin-Pai Cheng; Sicheng Li 001; Hai (Helen) Li; Yiran Chen 001 (IET Cyper-Phys. Syst.: Theory & Appl., 2016)

Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective. - Hsin-Pai Cheng; Wei Wen; Chunpeng Wu; Sicheng Li 001; Hai Helen Li; Yiran Chen 001 (DATE, 2017)

A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. - Chang Song 001; Hsin-Pai Cheng; Chunpeng Wu; Hai Li 001; Yiran Chen 001; Qing Wu 002 (CoRR, 2017)

MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. - Chang Song 001; Hsin-Pai Cheng; Huanrui Yang; Sicheng Li 001; Chunpeng Wu; Qing Wu 002; Yiran Chen 001; Hai Li 001 (ISVLSI, 2018)

2018 Low-Power Image Recognition Challenge. - Sergei Alyamkin; Matthew Ardi; Achille Brighton; Alexander C. Berg; Yiran Chen 001; Hsin-Pai Cheng; Bo Chen 019; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Jongkook Go; et al. (CoRR, 2018)

Differentiable Fine-grained Quantization for Deep Neural Network Compression. - Hsin-Pai Cheng; Yuanjun Huang; Xuyang Guo; Yifei Huang 007; Feng Yan 001; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. - Hsin-Pai Cheng; Patrick Yu; Haojing Hu; Feng Yan 001; Shiyu Li 001; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack. - Jingyang Zhang; Hsin-Pai Cheng; Chunpeng Wu; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view. - Yiran Chen 001; Hai (Helen) Li; Chunpeng Wu; Chang Song 001; Sicheng Li 001; Chuhan Min; Hsin-Pai Cheng; Wei Wen; Xiaoxiao Liu 001 (Integr., 2018)

Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. - Huanrui Yang; Jingchi Zhang; Hsin-Pai Cheng; Wenhan Wang; Yiran Chen 001; Hai Li 001 (SafeAI@AAAI, 2019)

Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. - Xuyang Guo; Yuanjun Huang; Hsin-Pai Cheng; Bing Li 017; Wei Wen; Siyuan Ma; Hai Helen Li; Yiran Chen 001 (AICAS, 2019)

AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems. - Hsin-Pai Cheng; Juncheng Shen; Huanrui Yang; Qing Wu 002; Hai Li 001; Yiran Chen 001 (ASP-DAC, 2019)

Towards Decentralized Deep Learning with Differential Privacy. - Hsin-Pai Cheng; Patrick Yu; Haojing Hu; Syed Zawad; Feng Yan 001; Shiyu Li 001; Hai Helen Li; Yiran Chen 001 (CLOUD, 2019)

Learning Efficient Sparse Structures in Speech Recognition. - Jingchi Zhang; Wei Wen; Michael Deisher; Hsin-Pai Cheng; Hai Helen Li; Yiran Chen 001 (ICASSP, 2019)

MSNet: Structural Wired Neural Architecture Search for Internet of Things. - Hsin-Pai Cheng; Tunhou Zhang; Yukun Yang 001; Feng Yan 001; Harris Teague; Yiran Chen 001; Hai Li 001 (ICCV Workshops, 2019)

Low-Power Computer Vision: Status, Challenges, Opportunities. - Sergei Alyamkin; Matthew Ardi; Alexander C. Berg; Achille Brighton; Bo Chen 019; Yiran Chen 001; Hsin-Pai Cheng; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Abhinav Goel; et al. (CoRR, 2019)

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. - Hsin-Pai Cheng; Tunhou Zhang; Yukun Yang 001; Feng Yan 001; Shiyu Li 001; Harris Teague; Hai Helen Li; Yiran Chen 001 (CoRR, 2019)

Low-Power Computer Vision: Status, Challenges, and Opportunities. - Sergei Alyamkin; Matthew Ardi; Alexander C. Berg; Achille Brighton; Bo Chen 019; Yiran Chen 001; Hsin-Pai Cheng; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Abhinav Goel; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. - Tunhou Zhang; Hsin-Pai Cheng; Zhenwen Li; Feng Yan 001; Chengyu Huang 001; Hai Helen Li; Yiran Chen 001 (AAAI, 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 (MLSys, 2020)

Adversarial Attack: A New Threat to Smart Devices and How to Defend It. - Chang Song 001; Hsin-Pai Cheng; Huanrui Yang; Sicheng Li 001; Chunpeng Wu; Qing Wu 002; Hai Li 001 (IEEE Consumer Electron. Mag., 2020)

NASGEM: Neural Architecture Search via Graph Embedding Method. - Hsin-Pai Cheng; Tunhou Zhang; Shiyu Li 001; Feng Yan 001; Meng Li 004; Vikas Chandra; Hai Helen Li; Yiran Chen 001 (CoRR, 2020)

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. - Hsin-Pai Cheng; Feng Liang 001; Meng Li 004; Bowen Cheng; Feng Yan 001; Hai Li 001; Vikas Chandra; Yiran Chen 001 (CoRR, 2020)

NASGEM: Neural Architecture Search via Graph Embedding Method. - Hsin-Pai Cheng; Tunhou Zhang; Yixing Zhang; Shiyu Li 001; Feng Liang 001; Feng Yan 001; Meng Li 004; Vikas Chandra; Hai Li 001; Yiran Chen 001 (AAAI, 2021)

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. - Hsin-Pai Cheng; Feng Liang 001; Meng Li 004; Bowen Cheng; Feng Yan 001; Hai Li 001; Vikas Chandra; Yiran Chen 001 (AutoML, 2022)

ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. - Kartikeya Bhardwaj; Hsin-Pai Cheng; Sweta Priyadarshi; Zhuojin Li (ICCV (Workshops), 2023)

DONNAv2 - Lightweight Neural Architecture Search for Vision tasks. - Sweta Priyadarshi; Tianyu Jiang 004; Hsin-Pai Cheng; Sendil Krishna; Viswanath Ganapathy; Chirag Patel (ICCV (Workshops), 2023)

Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions. - Mingu Lee; Saurabh Pitre; Tianyu Jiang 004; Pierre-David Letourneau; Matthew J. Morse; Kanghwan Jang; Joseph Soriaga; Parham Noorzad; Hsin-Pai Cheng; Christopher Lott (ICLR, 2023)

CSCO: Connectivity Search of Convolutional Operators. - Tunhou Zhang; Shiyu Li 001; Hsin-Pai Cheng; Feng Yan 001; Hai Li 001; Yiran Chen 001 (CVPR Workshops, 2024)

PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer. - Pierre-David Letourneau; Manish Kumar Singh 002; Hsin-Pai Cheng; Shizhong Han; Yunxiao Shi; Dalton Jones; Matthew Harper Langston; Hong Cai; Fatih Porikli (ICLR, 2025)

FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices. - Shizhong Han; Hsin-Pai Cheng; Hong Cai; Jihad Masri; Soyeb Nagori; Fatih Porikli (CoRR, 2025)

RoCA: Robust Cross-Domain End-to-End Autonomous Driving. - Rajeev Yasarla; Shizhong Han; Hsin-Pai Cheng; Litian Liu; Shweta Mahajan; Apratim Bhattacharyya; Yunxiao Shi; Risheek Garrepalli; Hong Cai; Fatih Porikli (CoRR, 2025)