Hsin-Pai Cheng

41 papers A* 4A 1B 1Misc 1Journal 22Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative Scenario Rollouts for End-to-End Autonomous Driving. CoRR Rajeev Yasarla, Deepti Hegde, Shizhong Han, Hsin-Pai Cheng, Yunxiao Shi, Meysam Sadeghigooghari, Shweta Mahajan, Apratim Bhattacharyya, Litian Liu, Risheek Garrepalli, Thomas Svantesson, Fatih Porikli, Hong Cai
2025	J	`jnl`	FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices. CoRR Shizhong Han, Hsin-Pai Cheng, Hong Cai, Jihad Masri, Soyeb Nagori, Fatih Porikli
2025	A*	`conf`	PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer. ICLR Pierre-David Letourneau, Manish Kumar Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Harper Langston, Hong Cai, Fatih Porikli
2025	J	`jnl`	RoCA: Robust Cross-Domain End-to-End Autonomous Driving. CoRR Rajeev Yasarla, Shizhong Han, Hsin-Pai Cheng, Litian Liu, Shweta Mahajan, Apratim Bhattacharyya, Yunxiao Shi, Risheek Garrepalli, Hong Cai, Fatih Porikli
2024	—	`conf`	CSCO: Connectivity Search of Convolutional Operators. CVPR Workshops Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen
2024	J	`jnl`	CSCO: Connectivity Search of Convolutional Operators. CoRR Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen
2024	J	`jnl`	PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer. CoRR Pierre-David Letourneau, Manish Kumar Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Harper Langston, Hong Cai, Fatih Porikli
2023	A*	`conf`	Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions. ICLR Mingu Lee, Saurabh Pitre, Tianyu Jiang, Pierre-David Letourneau, Matthew J. Morse, Kanghwan Jang, Joseph Soriaga, Parham Noorzad, Hsin-Pai Cheng, Christopher Lott
2023	—	`conf`	DONNAv2 - Lightweight Neural Architecture Search for Vision tasks. ICCV (Workshops) Sweta Priyadarshi, Tianyu Jiang, Hsin-Pai Cheng, Sendil Krishna, Viswanath Ganapathy, Chirag Patel
2023	J	`jnl`	DONNAv2 - Lightweight Neural Architecture Search for Vision tasks. CoRR Sweta Priyadarshi, Tianyu Jiang, Hsin-Pai Cheng, Sendil Krishna, Viswanath Ganapathy, Chirag Patel
2023	—	`conf`	ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. ICCV (Workshops) Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li
2023	J	`jnl`	ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. CoRR Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li
2022	—	`conf`	ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
2021	A*	`conf`	NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen
2020	J	`jnl`	Adversarial Attack: A New Threat to Smart Devices and How to Defend It. IEEE Consumer Electron. Mag. Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li
2020	A*	`conf`	AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. AAAI Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen
2020	J	`jnl`	NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen
2020	—	`conf`	Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices. MLSys Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh
2020	J	`jnl`	Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices. CoRR Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh
2020	J	`jnl`	ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
2019	—	`conf`	AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems. ASP-DAC Hsin-Pai Cheng, Juncheng Shen, Huanrui Yang, Qing Wu, Hai Li, Yiran Chen
2019	J	`jnl`	AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture. CoRR Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen
2019	—	`conf`	Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. SafeAI@AAAI Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li
2019	—	`conf`	Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. AICAS Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen
2019	Misc	`conf`	Learning Efficient Sparse Structures in Speech Recognition. ICASSP Jingchi Zhang, Wei Wen, Michael Deisher, Hsin-Pai Cheng, Hai Helen Li, Yiran Chen
2019	J	`jnl`	Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR 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
2019	J	`jnl`	Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 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
2019	—	`conf`	MSNet: Structural Wired Neural Architecture Search for Internet of Things. ICCV Workshops Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li
2019	J	`jnl`	SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. CoRR Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen
2019	B	`conf`	Towards Decentralized Deep Learning with Differential Privacy. CLOUD Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen
2018	J	`jnl`	2018 Low-Power Image Recognition Challenge. CoRR 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	J	`jnl`	Differentiable Fine-grained Quantization for Deep Neural Network Compression. CoRR Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen
2018	J	`jnl`	LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. CoRR Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen
2018	—	`conf`	MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. ISVLSI Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Yiran Chen, Hai Li
2018	J	`jnl`	Neuromorphic computing's yesterday, today, and tomorrow - an evolutional view. Integr. Yiran Chen, Hai (Helen) Li, Chunpeng Wu, Chang Song, Sicheng Li, Chuhan Min, Hsin-Pai Cheng, Wei Wen, Xiaoxiao Liu
2018	J	`jnl`	Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack. CoRR Jingyang Zhang, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen
2017	J	`jnl`	A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. CoRR Chang Song, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu
2017	A	`conf`	Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective. DATE Hsin-Pai Cheng, Wei Wen, Chunpeng Wu, Sicheng Li, Hai Helen Li, Yiran Chen
2016	—	`conf`	ApesNet: A Pixel-wise Efficient Segmentation Network. ESTIMedia Chunpeng Wu, Hsin-Pai Cheng, Sicheng Li, Hai Helen Li, Yiran Chen
2016	J	`jnl`	ApesNet: a pixel-wise efficient segmentation network for embedded devices. IET Cyper-Phys. Syst.: Theory & Appl. Chunpeng Wu, Hsin-Pai Cheng, Sicheng Li, Hai (Helen) Li, Yiran Chen
2016	—	`conf`	Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss. NANOARCH Hsin-Pai Cheng, Wei Wen, Chang Song, Beiye Liu, Hai Li, Yiran Chen