A Biological Retina Inspired Tone Mapping Processor for High-Speed and Energy-Efficient Image Enhancement. - Xiaoqiang Xiang; Lili Liu; Luying Que; Conghan Jia; Bo Yan; Yongjie Li; Jinhong Guo; Jun Zhou 017 (Sensors, 2020)

RAODAT: An Energy-Efficient Reconfigurable AI-based Object Detection and Tracking Processor with Online Learning. - Yuchuan Gong; Qingsong Liu; Luying Que; Conghan Jia; Jiahui Huang; Ye Liu 011; Jiayan Gan; Yuxiang Xie; Yong Zhou; Lili Liu; Xiaoqiang Xiang; Liang Chang 002; et al. (A-SSCC, 2021)

A Lightweight Pedestrian Detection Engine with Two-Stage Low-Complexity Detection Network and Adaptive Region Focusing Technique. - Luying Que; Teng Zhang; Hongtao Guo; Conghan Jia; Yuchuan Gong; Liang Chang 002; Jun Zhou 017 (Sensors, 2021)

DL-VOPU: An Energy-Efficient Domain-Specific Deep-Learning-Based Visual Object Processing Unit Supporting Multi-Scale Semantic Feature Extraction for Mobile Object Detection/Tracking Applications. - Yuchuan Gong; Teng Zhang; Hongtao Guo; Xiyuan Liu; Jingxiao Zheng; Hongqiang Wu; Conghan Jia; Luying Que; Liang Zhou; Liang Chang 002; Jun Zhou 017 (ISSCC, 2023)

An Energy-Efficient Visual Object Tracking Processor Exploiting Domain-Specific Features. - Yuchuan Gong; Hongtao Guo; Xiyuan Liu; Jingxiao Zheng; Teng Zhang; Luying Que; Conghan Jia; Guangbin Ou; Xiben Jiao; Zherong Liu; Liang Chang 002; Liang Zhou; et al. (IEEE Trans. Circuits Syst. II Express Briefs, 2024)