• 2005-2008：英国纽卡斯尔大学 集成电路与系统设计 博士学位（全日制）
• 2000-2004：电子科技大学 通信工程 & 微电子 双学士学位

工作经历：

• 2026-至今：深圳河套学院，教授
• 2017-至今：电子科技大学信息与通信工程学院，教授
• 2014-2017：新加坡国家微电子研究院A*STAR IME，研究科学家II/博导
• 2011-2014：新加坡国家微电子研究院A*STAR IME，研究科学家I/博导
• 2008-2011：欧洲微电子研究中心IMEC，研究员/硕导

国家高层次人才（2025），国家青年千人（2017），中国工程院“中国工程前沿杰出青年学者”，先进微处理器技术国家工程研究中心理事会理事，四川省电子学会嵌入式人工智能专委会主任，四川省无人系统智能电路与系统工程技术研究中心常务副主任，曾在欧洲微电子研究中心IMEC、新加坡微电子研究院A*STAR IME工作近10年，担任智能芯片方向技术负责人。主要研究方向包括低功耗人工智能芯片设计、人工智能算法与芯片协同设计等，主持了国家自然基金联合重点项目、国家重点研发计划项目等重点项目。在相关领域发表高水平论文150余篇，包括ISSCC、JSSC、HPCA、DAC等，设计并流片实现了多款低功耗端侧AI芯片，面向视觉感知、声音感知、健康穿戴等应用，在满足准确率、实时性的同时，达到了国际同类设计最低功耗。获得多个IEEE最佳论文奖、吴文俊人工智能技术发明奖等。担任芯片设计领域奥林匹克会议ISSCC数字架构与系统专委会TPC委员（中国大陆唯一），亚洲固态电路会议A-SSCC数字电路与系统专委会TPC主席（中国大陆首位）、人工智能芯片领域旗舰会议AICAS 2026 TPC共同主席，芯片设计领域顶级期刊JSSC、TBioCAS和TVLSI编委，以及华为中央研究院AI芯片领域顾问专家。

1. R. Mao, A. Shen, L. Tang, J. Zhou*, “CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics”, AAAI Conference on Artificial Intelligence (AAAI), 2025.

2. J. Xiao, X. Zhang, S. Zhu, Z. Yang, M. Du, C. Ji, Y. Long, X. Chen, X. Miao, L. Zhou, L. Chang, S. Liu, J. Zhou*, “KASP: A 97.8% 10-Keyword Accuracy and 1.68μJ/Classification Keyword Spotting and Speaker Verification Processor using Adaptive Beamforming and Progressive Wake-Up,” IEEE International Solid-State Circuits Conference (ISSCC), 2024.

3. R. Mao, L. Tang, X. Yuan, Ye Liu, J. Zhou∗, “Stellar: Energy-efficient and low-latency snn algorithm and hardware co-design with spatiotemporal computation”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2024.

4. R. Mao, L. Tang, Z. Xia, Z. Zhang, A. Shen, Y. Long, J. Guo, Y. He, L. Zhang, S. Wang, L. Zhou, L. Chang, S. Liu, J. Zhou*, FSNAP: An Ultra-Energy-Efficient Few-Spikes-Neuron based Reconfigurable SNN Processor Enabling Unified On-Chip Learning and Accuracy-Driven Adaptive Time-Window Tuning, IEEE Symposium on VLSI Circuits (VLSIC), 2024

5. J. Liu, X. Liu, X. Wang, Z. Xie, Z. Zhong, J. Fan, H. Qiu, Y. Xu, H. Qin, Y. Long, Y. Zhou, Z. Shen, L. Zhou, L. Chang, S. Liu, S. Lin, C. Wang, J. Zhou*, “A High Accuracy and Energy-Efficient Zero-Shot-Retraining Seizure Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adaptive Channel Selection,” IEEE International Solid-State Circuits Conference (ISSCC), 2024.

6. Y. Gong, T. Zhang, H. Guo, X. Liu, J. Zheng, H. Wu, C. Jia, L. Que, L. Zhou, L. Chang, J. Zhou*, "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," 2023 IEEE International Solid-State Circuits Conference (ISSCC), 2023.

7. J. Liu, Z. Xie, X. Wang, X. Liu, X. Jiao, J. Fan, H. Qin, C. Guo, J. Xiao, J. Zhou*, “BioWAP: A Reconfigurable Biomedical AI Processor with Adaptive Processing for Co-Optimized Accuracy and Energy Efficiency”, IEEE Custom Integrated Circuits Conference (CICC), 2024.

8. J. Liu, Z. Zhong, Y. Zhou, H. Qiu, J. Xiao, J. Fan, Z. Zhang, S. Li, Y. Xu, S. Yang, W. Shan, S. Lin, L. Chang, J. Zhou*, "An energy-efficient seizure detection processor using event-driven multi-stage CNN classification and segmented data processing with adaptive channel selection," ACM/IEEE Design Automation Conference (DAC), 2022.

9. J. Liu, J. Xiao, J. Fan, Q. Liu, Z. Zhu, S. Li, Z. Zhang, S. Yang, W. Shan, S. Lin, L. Chang, L. Zhou, J. Zhou*, "An Energy-Efficient Cardiac Arrhythmia Classification Processor using Heartbeat Difference based Classification and Event-Driven Neural Network Computation with Adaptive Wake-Up," 2022 IEEE Custom Integrated Circuits Conference (CICC), 2022.

10. J. Liu, Z. Zhu, Y. Zhou, N. Wang, G. Dai, Q. Liu, J. Xiao, Y. Xie, Z. Zhong, H. Liu, L. Chang, J. Zhou*, "BioAIP: A Reconfigurable Biomedical AI Processor with Adaptive Learning for Versatile Intelligent Health Monitoring," 2021 IEEE International Solid- State Circuits Conference (ISSCC), 2021.

11. D. Li, R. Tian, H. Jia, W. Shao, X. Liu, Z. Chen, Z. Xu, X. Li,  S. Xu, Z. Xie, J. Jian, X. Wang, L. Tao, X. Wu, Z. Cheng, Z. Dong, H. Liu*, Y. Yang*, J. Zhou*, Tian-Ling Ren*, “Motion-unrestricted dynamic electrocardiogram system utilizing imperceptible electronics”, Nature Communications, vol. 16, no. 1, pp. 3259, 2025.

12. T. Zhang, X. Yuan, X. Zhao, H. Wei, L. Jin, J. Zeng, C. Shi, L. Zhuang, Y. Long, J. Zhou*, “PRADO: A Low-Latency and Energy-Efficient 6DoF Pose Refinement Accelerator With Domain-Specific Explorations”, IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), 2025.

13. Y. Liu, K. Huang, N. Zhao, Y. Li, X. Qi, R. Mao, S. Hao, J. Li, Z. Huang, M. Yang, S. Li, A. Hu, L. Zhou, Y. Long, S. Liu, J. Zhou*, “VSLAM-BA: Algorithm and Hardware Co-Design for High Performance and Energy-Efficient Visual SLAM Backend Hardware Accelerator”, IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), 2025.

14. Y. Liu, S. Hao, X. Qi, K. Huang, M. Yang, Z. Huang, Y. Li, L. Chang, L. Zhou, Y. Long, J. Zhou*, “An Ultra-High Performance and Scalable Optical Flow Hardware Accelerator Based on FPGA for Autonomous Driving”, IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), 2025.

15. R. Mao, L. Tang, Z. Zhang, Y. Lu, Y. Long, J. Guo, L. Zhou, L. Chang, S. Liu, T. Kim, J. Zhou*, “FSNAP: An Ultra-Energy-Efficient Reconfigurable Few-Spikes-Neuron-Based SNN Processor Supporting Unified On-Chip Learning and Adaptive Time-Window Tuning”, IEEE Journal of Solid-State Circuits (JSSC), 2025.

16. J. Liu, X. Liu, C. Guo, X. Wang, Z. Zhong, J. Fan, H. Qiu, Z. Xie, Y. Xu, H. Qin, Y. Long, Y. Zhou, Z. Shen, L. Zhou, L. Chang, S. Liu, S. Lin, C. Wang, J. Zhou*, "A High Accuracy and Ultra-Energy-Efficient Zero-Shot-Retraining Seizure Detection Processor," IEEE Journal of Solid-State Circuits (JSSC), vol. 59, no. 11, pp. 3549-3565, Nov. 2024.

17. L. Peng, J. Yang, Z. Chen, L. Yan, X. Jiao, J. Xiao, L. Zhou, L. Chang, Y. Long, J. Zhou*, "A High Accuracy and Low Power CNN-Based Environmental Sound Classification Processor," in IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), pp. 1-12, Aug. 2023.

18. Y. Gong, H. Guo, X. Liu, J. Zheng, T. Zhang, L. Que, C. Jia, G. Ou, X. Jiao, Z. Liu, L. Chang, L. Zhou, J. Zhou*, "An Energy-Efficient Visual Object Tracking Processor Exploiting Domain-Specific Features," in IEEE Transactions on Circuits and Systems II (TCAS-II), Early Access, 2023.

19. J. Liu, J. Fan, Z. Zhong, H. Qiu, J. Xiao, Y. Zhou,  Z. Zhu, G. Dai, N. Wang, Q. Liu, Y. Xie,  H. Liu, L. Chang, J. Zhou*. "An Ultra-low Power Reconfigurable Biomedical AI Processor with Adaptive Learning for Versatile Wearable Intelligent Health Monitoring," in IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), pp. 1-16, Aug. 2023.

20. Y. Liu, F. Wu, N. Zhao, Q. Zhang, W. Wang, Y. Yang, X. Li, S. Li, Z. Huang, J. Zhou*. "NVP: A Flexible and Efficient Processor Architecture for Accelerating Diverse Computer Vision Tasks including DNN," in IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), vol. 70, no. 1, pp. 271-275, Jan. 2023.