TraceDo: An On-Chip Trace System for Real-Time Debug and Optimization in Multiprocessor SoC. - Xiao Hu 004; Pengyong Ma; Shuming Chen; Yang Guo 003; Xing Fang (ISPA, 2006)

Pseudo Share Data Cache in Multiprocessor: PSDMP. - Pengyong Ma; Xiao Hu 004; Shuming Chen; Yang Guo 003 (ISPA Workshops, 2006)

Scheduling for Combining Traffic of On-Chip Trace Data in Embedded Multi-core Processor. - Xiao Hu 004; Pengyong Ma; Shuming Chen (ICESS, 2007)

Applications of On-chip Trace on Debugging Embedded Processor. - Xiao Hu 004; Shuming Chen (SNPD (1), 2007)

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)

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)

First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset. - Sangpil Kim; Hyung-Gun Chi; Xiao Hu 004; Anirudh Vegesana; Karthik Ramani (BMVC, 2020)

A Lifelong Health Monitoring Framework in Processors: Work-in-Progress. - Xiao Hu 004; Yaohua Wang (CASES, 2020)

A Large-Scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks. - Sangpil Kim; Hyung-Gun Chi; Xiao Hu 004; Qixing Huang; Karthik Ramani (ECCV (18), 2020)

FPGA-Based Multi-precision Architecture for Accelerating Large-Scale Floating-Point Matrix Computing. - Longlong Zhang; Yuanxi Peng; Xiao Hu 004; Ahui Huang; Tian Tian (NPC, 2020)

Crowdsourcing Detection of Sampling Biases in Image Datasets. - Xiao Hu 004; Haobo Wang; Anirudh Vegesana; Somesh Dube; Kaiwen Yu; Gore Kao; Shuo-Han Chen; Yung-Hsiang Lu; George K. Thiruvathukal; Ming Yin 001 (WWW, 2020)

A Scalable Architecture for Accelerating Multi-Operation and Continuous Floating-Point Matrix Computing on FPGAs. - Longlong Zhang; Yuanxi Peng; Ahui Huang; Xiao Hu 004 (IEEE Access, 2020)

Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. - Isha Ghodgaonkar; Abhinav Goel; Fischer Bordwell; Caleb Tung; Sarah Aghajanzadeh; Noah Curran; Ryan Chen; Kaiwen Yu; Sneha Mahapatra; Vishnu Banna; Gore Kao; Kate Lee; et al. (CoRR, 2020)

AIM: Annealing in Memory for Vision Applications. - Zhi Wang; Xiao Hu 004; Jian Zhang 022; Zhao Lv; Yang Guo 003 (Symmetry, 2020)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. - Abhinav Goel; Caleb Tung; Xiao Hu 004; Haobo Wang; James C. Davis 001; George K. Thiruvathukal; Yung-Hsiang Lu (ISLPED, 2021)

A Robust IoT Device Identification Method with Unknown Traffic Detection. - Xiao Hu 004; Hong Li 004; Zhiqiang Shi; Nan Yu; Hongsong Zhu; Limin Sun 001 (WASA (1), 2021)

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. - Caleb Tung; Abhinav Goel; Xiao Hu 004; Nick Eliopoulos; Emmanuel S. Amobi; George K. Thiruvathukal; Vipin Chaudhary; Yung-Hsiang Lu (AICAS, 2022)

Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. - Abhinav Goel; Caleb Tung; Xiao Hu 004; George K. Thiruvathukal; James C. Davis 001; Yung-Hsiang Lu (ASP-DAC, 2022)

Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. - Abhinav Goel; Caleb Tung; Nick Eliopoulos; Xiao Hu 004; George K. Thiruvathukal; James C. Davis 001; Yung-Hsiang Lu (ISLPED, 2022)

Why Accuracy is Not Enough: The Need for Consistency in Object Detection. - Caleb Tung; Abhinav Goel; Fischer Bordwell; Nick Eliopoulos; Xiao Hu 004; Yung-Hsiang Lu; George K. Thiruvathukal (IEEE Multim., 2022)

Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ziteng Jiao; Ayden Kocher; Zhenyu Wu 002; Junjie Liu; James C. Davis 001; George K. Thiruvathukal; Yung-Hsiang Lu (Computer, 2023)

2023 Low-Power Computer Vision Challenge (LPCVC) Summary. - Leo Chen; Benjamin Boardley; Ping Hu; Yiru Wang; Yifan Pu; Xin Jin; Yongqiang Yao; Ruihao Gong; Bo Li 026; Gao Huang 001; Xianglong Liu 001; Zifu Wan; et al. (CoRR, 2024)