刘力源，男，博士，研究员，博士生导师。
中国科学院半导体研究所研究员，中国科学院大学岗位教授。2010年获清华大学工学博士学位；2010-2012年在清华大学电子工程系从事博士后研究；2012年7月加入中国科学院半导体研究所半导体超晶格国家重点实验室，任副研究员。2018年1月任半导体超晶格国家重点实验室研究员。2016年入选中国科学院青年创新促进会。
刘力源研究员主要从事人工智能视觉芯片研究，基于半导体所平台，围绕人工视觉感知器件和电路、新型视觉传感器、边缘视觉处理器、传感器/处理器集成技术开展研究，取得了一系列创新性的研究成果，为光电融合视觉芯片实用化奠定了基础。
主要研究方向包括：
1）面向3D视觉和高速视觉的单光子图像传感器研制，基于CMOS工艺的太赫兹探测器和面阵成像器件研制；
2）面向边缘图像处理的视觉处理器架构和电路研究，基于神经网络的图像处理算法及轻量化方法研究；
3）CMOS图像传感器和处理器一体化视觉芯片、脉冲型全仿生视觉芯片、基于动态视觉传感的视觉芯片研究。
学术兼职包括：半导体学报编委，国际集成电路技术与应用大会议（ICTA）程序委员会主席（2019-2020），亚洲固态电路会议（A-SSCC）程序委员会成员（2013-2018）；电气与电子工程师协会（IEEE）会员，IEEE固态电路协会北京分会副主席；北京电子学会理事，中国图形图象学会类脑视觉专委会委员，中国运筹学会智能工业数据解析与优化专委会理事。
联系方式：
E-mail：liuly@semi.ac.cn； 电话：010-82304796
在研和完成的项目包括国家重点研发计划课题、国家自然科学基金面上项目、北京市科技计划课题、企业委托项目等。
近5年来的部分学术期刊论文：
1. Mingxin Zhao, Junbo Peng, Shuangming Yu, Liyuan Liu, Member, IEEE,and Nanjian Wu, Member, IEEE，” Exploring Structural Sparsity in CNN via Selective Penalty” IEEE Trans. Circuits Syst. for Video Technol., Early Access，doi: 10.1109/TCSVT.2021.3071532.
2. Song Ma, Liyuan Liu, Tong Fang, Jian Liu, Nanjian Wu, “A Discrete-Time Audio ΔΣ Modulator Using Dynamic Amplifier With Speed Enhancement and Flicker Noise Reduction Techniques”，IEEE Journal of Solid-State Circuits, vol.55(2), pp.333-343, Feb.2020.
3. Zhao Zhang, Jincheng Yang, Liyuan Liu,Nan Qi,Peng Feng, Jian Liu and Nanjian Wu, “An 18-23 GHz 57.4-fs RMS Jitter −253.5-dB FoM Sub-Harmonically Injection-Locked All-Digital PLL with Single-Ended Injection Technique and ILFD Aided Adaptive Injection Timing Alignment Technique”，IEEE Trans. Circuits and Syst., vol.66, pp.3733-3746,No.10, Oct.2019. Zhao-yang Liu, Li-yuan Liu, Jie Yang and Nan-jian Wu, “A CMOS Fully Integrated 860-GHz Terahertz Sensor,” IEEE Trans. THz Sci. Technol., vol. 7, no. 4, pp. 455–465, July. 2017.
4. Qiwen Liao;Yuguang Zhang;Siyuan Ma;Lei Wang;Leliang Li;Guike Li;Zhao Zhang;Jian Liu;Nanjian Wu;Liyuan Liu;Yong Chen;Xi Xiao;Nan Qi，“A 50-Gb/s PAM-4 Silicon-Photonic Transmitter Incorporating Lumped-Segment MZM, Distributed CMOS Driver, and Integrated CDR”, IEEE Journal of Solid-State Circuits, vol.57(3), pp.767-780, March.2022.
5. Shuyu Wang, Mingxin Zhao, Runjiang Dou, Shuangming Yu, Liyuan Liu, and Nanjian Wu, “A Compact High-Quality Image Demosaicking Neural Networkfor Edge-Computing Devices”,Sensors, 2021, 21(9): 3265.
6. Ke Ning, Mingxin Zhao, Chunhe Yao, Xuemin Zheng, Mengmeng Xu, Nanjian Wu, Liyuan Liu, and Shuangming Yu, “A high-speed NMS coprocessor for lightweight ship detection algorithm”IEEE Transactions on Circuits and Systems II: Express Briefs, DOI 10.1109/TCSII.2021.3125487.
7. Cong Shi, Tengxiao Wang, Junxian He, Jianghao Zhang, Liyuan Liu, and Nanjian Wu, “DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Network”IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 68, No. 5, pp. 1581-1585, May 2021.
8. Yang, X.,Zhang, Z., Zhu, W., Yu, S., Liu, L., Wu, N. Deterministic conversion rule for CNNs to efficient spiking convolutional neural networks, SCIENCE CHINA Information Sciences 63(1), 122402:1-122402:19,2020
9. Zhang, Zhao; Liu, Liyuan; Qi, Nan; Liu, Jian; WU, Nan-Jian, A 17.6-to-24.3 GHz -193.3-dB FoMT LC-VCO for 60-GHz wireless applications, Jap. J. Appl. Phys., 59, SGGL05:1-8, 2020.
10. 李鸿龙，杨 杰，张忠星，罗 迁，于双铭，刘力源，吴南健， 用于实时目标检测的高速可编程视觉芯片， 红外与激光工程， 49（5）， 1-10，2020.
11. 方桐，刘力源，刘朝阳，冯鹏，李媛媛，刘俊岐，刘剑，吴南健，“基于65 nm标准CMOS工艺的3.0 THz 探测器”，红外与毫米波学报，39(1)，pp.56-64, Feb, 2020.
12. Mingxin Zhao, Ke Ning, Suangming Yu, Liyuan Liu, Nanjian WU, Quantizing Oriented Object Detection Network via Outlier-Aware Quantization and IoU Approximation, IEEE Signal Processing Letters, vol. 27, pp. 1914-1918, 2020, doi: 10.1109/LSP.2020.3031490.
13. Wei He, Jie Zhang, Yingcheng Lin, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi "A Low-cost High-speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features," in IEEE Transactions on Circuits and Systems II: Express Briefs, doi: 10.1109/TCSII.2020.3020883.
14. Zhao Zhang, Jincheng Yang, Liyuan Liu,Nan Qi,Peng Feng, Jian Liu and Nanjian Wu, “0.1–5 GHz wideband ΔΣ fractional-N frequency synthesiser for software-defined radio application”，IET Circuits, Devices & Systems, vol.13, Issue.7, pp.1071-1077, Oct.2019.
15. Jincheng Yang, Zhao Zhang, Nan Qi, Liyuan Liu, Jian Liu and NanjianWu, “A 0.45-to-1.8GHz synthesized injection-locked bang-bang phase-locked loop with fine frequency tuning circuits,” Sci China Inf Sci, vol.62, pp.062405:1-062405:16, June, 2019.
16. Jiaqing Wang, Yongxing Yang, Liyuan Liu and Nanjian Wu, “High-speed target tracking system based on multi-interconnection heterogeneous processor and multi-descriptor algorithm” Sci China Inf Sci, vol.62, pp.069401:1-069401:3, June, 2019.
17. ZHANG Zhong-Xing, LI Hong-Long, ZHANG Guang-Qian, ZHU Wen-Ping, LIU Li-Yuan, LIU Jian, WU Nan-Jian, “CCNet: A high-speed cascaded convolutional neural network for ship detection with multispectral images,” J. Infrared Millim. Waves, vol.38, no.3, pp.290-295, June, 2019.
18. Jincheng Yang, Zhao Zhang, Nan Qi, Liyuan Liu, Jian Liu and NanjianWu, “2.4-3.2GHz robust self-injecting injection-locked phase-locked loop,” Jpn. J. Appl. Phys. vol.57(4S), 04FF05, 2018.
19. Jincheng Yang, Zhao Zhang, Nan Qi, Liyuan Liu, Jian Liu and NanjianWu, “A fast-locking bang-bang phase-locked loop with adaptive loop gain controller,” Journal of Semiconductors, vol.39, No.12, pp.125002-1–125001-7, Dec. 2018.
20. Zhao Zhang, Jincheng Yang, Liyuan Liu, Peng Feng, Jian Liu and Nanjian Wu, “A 0.9–2.25-GHz Sub-0.2-mW/GHz Compact Low-Voltage Low-Power Hybrid Digital PLL With Loop Bandwidth-Tracking Technique,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 26, no. 5, pp. 933–943, May. 2018.
21. Jie Yang, Yongxing Yang, Zhe Chen, Liyuan Liu, Jian Liu and Nanjian Wu, “A Heterogeneous Parallel Processor for High-Speed Vision Chip,” IEEE Trans. Circuits Syst. for Video Technol., vol.28, no. 3, pp.746-758, 2018.
22. 刘朝阳，刘力源，吴南健，“采用CMOS 太赫兹波探测器的成像系统，”红外与激光工程，卷46，第1期，pp.0125001-1–0125001-6.
23. Zhao Zhang, Liyuan Liu, Peng Feng and Nanjian Wu, “A 2.4–3.6-GHz Wideband Subharmonically Injection-Locked PLL With Adaptive Injection Timing Alignment Technique,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 25, no. 3, pp. 929–941, March. 2017.
24. Yongxing Yang, Jie Yang, Liyuan Liu and Nanjian Wu, “High-Speed Target Tracking System Based on a Hierarchical Parallel Vision Processor and Gray-Level LBP Algorithm,” IEEE Trans. Syst., Man, Cybern., Syst., vol. 47, no. 6, pp. 950–964, June. 2017
25. Zhaoyang LIU, Liyuan LIU, Zhao ZHANG, Jian LIU and Nanjian WU, “Terahertz Detector for Imaging in 180-nm Standard CMOS Process,” Sci China Inf Sci, vol.60, pp.082401:1-082401:9, 2017.
26. Yongxing YANG, Jie YANG, Zhongxing ZHANG, Liyuan LIU and Nanjian WU, “High-speed visual target tracking with mixed rotation invariant description and skipping searching,” Sci China Inf Sci, vol.60, pp.062401:1-062401:12, 2017.
27. Beichen Zhang, Bingbing Yao, Liyuan Liu, Jian Liu and Wu Nanjian, “High power-efficient asynchronous SAR ADC for IoT devices,” Journal of Semiconductors, vol.38, No.10, pp.105001-1–105001-7, Oct. 2017.
28. Victor Nshunguyimfura, Jie Yang, Liyuan Liu and Nanjian Wu, “Property-driven functional verification technique for high-speed vision system-on-chip processor,” Jpn. J. Appl. Phys. vol.56, pp.04CF15-1 –04CF15-7, 2017.
近5年来的部分学术会议论文和邀请报告：
1. 刘力源，“CMOS太赫兹混频探测器的最新研究进展及其在太赫兹成像中的应用”，太赫兹科学与技术高峰论坛，2021年5月27-28日，上海。（邀请报告）
2. 刘力源，“基于动态放大器的ΔΣ调制器及其在太赫兹成像中的应用”，北京地区广受关注论文报告会，2021年4月27日，北京。（邀请报告）
3. Liyuan Liu，“CMOS Terahertz Detectors and Image Sensors”，ACES-China，July 31,2021. （邀请报告）
4. Liyuan Liu，“Smart Vision Chip”，3rd International Symposium on Memory Devices for Abundant Data Computing，May,28 2021
5. 刘力源，“人工智能视觉芯片”，PRCV-2021, 2021年12月21日（线上）。（邀请报告）
6. Tong Fang, Min Liu, Li-yuan Liu, et.al, “A 32×32 Array Terahertz Sensor in 65-nm CMOS Technology”，2021 IEEE ICTA, Nov. 2021.
7. Min Liu, Li-yuan Liu, Jian Liu and Nan-jian Wu, “CMOS Integrated FET-based Detectors for Radiation from 0.7-3.6THz”, 2021 UCMMT.
8. Peng Feng, Liyuan Liu and Nanjian Wu, “Pixel Design of Ultra-high Speed CMOS Image Sensor”2021 IEEE 14th International Conference on ASIC 2021.
9. Mingxin Zhao, Xuemin Zheng, Ke Ning, Chunhe Yao, Qian Luo, Shuangming Yu, Liyuan Liu, Nanjian Wu， A verification method for array-based vision chip using a fixed-point neural network simulation tool (on line), 2020 IEEE 11th Latin American Symposium on Circuits & Systems (LASCAS), 25-28, Feb. 2020
10. Yang Liu, Nan Qi, Xiuli Xu, Weizhong Li, Lei Wang, Minjia Chen, Qixiang Cheng, Jingbo Shi, Liyuan Liu, Jian Liu, Xi Xiao, Nanjian Wu, A 50Gb/s PAM-4 Optical Receiver with Si-Photonic PD and Linear TIA in 40nm CMOS, 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Oct. 20-21,2020 (online)
11. Liyuan Liu，Low Power Discrete-Time Delta-Sigma Modulator Design Techniques, Workshop on IC Advances in China, June.11, 2020.
12. 刘力源, 刘剑，吴南健，“基于硅基CMOS的太赫兹探测器和成像阵列”, 第22届全国半导体物理学术会议，杭州，2019.7.9-12. (邀请报告)
13. 刘力源，“硅基CMOS太赫兹波图像传感器设计”，第五届全国太赫兹科学技术学术年会，上海，2019.6.23-26 (邀请报告)
14. 刘力源，“光电融合的人工视觉片上系统研究” 2019全球人工智能与机器人峰会，深圳，2019.7.12-14.
15. S. Ma, L. Liu, J. Liu and N. Wu, “A 8-b 1GS/s 2b/cycle SAR ADC in 28-nm CMOS,” 2019 15th IEEE Asia Pacific Conference on Circuits and Systems, Nov.11-14, Bangkok,Thailand.
16. Li-yuan Liu, Tong Fang, Jian Liu and Nanjian Wu, “Design, Implementation and Characteristic of CMOS Terahertz Detectors: an Overview” in Proceedings of 2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT),pp.1-3, Oct.31-Nov.3, Qingdao, China, 2018. (邀请报告)
17. 刘力源, “硅基CMOS太赫兹波成像芯片研究”, 2018年中国电子学会第24届青年学术年会邀请报告，北京，2018.11.23-25. (邀请报告)
18. 刘力源，方桐，刘剑，吴南健，“硅基CMOS太赫兹探测器和图像传感器”，第四届全国太赫兹科学技术学术年会，成都，2018.7.13-15 (邀请报告)
19. Liyuan Liu, “Extending the Capability of CMOS Image Sensor: From Visible to Terahertz Region”, Nano S&T-2018 October, 24-26, Germany.
20. Tong Fang, Zhao-yang Liu, Li-yuan Liu,Jian Liu and Nan-jian Wu, “A 25fps 32×24 Digital CMOS Terahertz Image Sensor,” in Proceedings of IEEE Asian Solid-State Circuits Conference (A-SSCC), pp.87-90, Nov. 5-7, Tainan, Taiwan, China, 2018.
21. Zhao Zhang, Jincheng Yang, Liyuan Liu, Nan Qi, Peng Feng, Jian Liu and Nan-jian Wu, “A Fast Auto-Frequency Calibration Technique for Wideband PLL with Wide Reference Frequency Range,” in Proceedings of IEEE Asian Solid-State Circuits Conference (A-SSCC), pp.227-230, Nov. 5-7, Tainan, Taiwan, China, 2018.
22. Jincheng Yang, Zhao Zhang, Liyuan Liu, Jian Liu and Nanjian Wu, “A 2.4 – 3.2 GHz Robust Self-Injecting Injection-Locked PLL,” 2017 International Conference on Solid State Devices and Materials (SSDM), pp.813-814,Sept.19-22,Sendai, Japan, 2017.
23. Jincheng Yang, Zhao Zhang, Liyuan Liu, Jian Liu and Nanjian Wu, “A 0.45-to-1.8 GHz Fully Synthesized Injection Locked Bang-Bang PLL with OFDAC to Enhance DCO resolution,” 2017 International Conference on Solid State Devices and Materials (SSDM), pp.815-816,Sept.19-22,Sendai, Japan, 2017.
24. Bing Xia, Nan Qi, Liyuan Liu and Nanjian Wu, “A Low-Power 2.4GHz ZigBee Transceiver with Inductor-less RF Front-end for IoT applications,” in Proceedings of 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), pp.1332-1335, Aug. 6-9, Boston, USA, 2017.
25. Tong Fang, Zhao-yang Liu, Li-yuan Liu,Yuan-yuan Li, Jun-qi Liu, Jian Liu and Nan-jian Wu, “Detection of 3.0 THz wave with a detector in 65 nm standard CMOS process,” in Proceedings of IEEE Asian Solid-State Circuits Conference (A-SSCC), pp.189-192, Nov. 6-8, Seoul, Korea, 2017.
26. Zhao Zhang, Jincheng Yang, Liyuan Liu, Peng Feng, Jian Liu and Nanjian Wu, “A 18-to-23 GHz -253.5dB-FoM Sub-Harmonically Injection-Locked ADPLL with ILFD Aided Adaptive Injection Timing Alignment Technique,” in Proceedings of IEEE Asian Solid-State Circuits Conference (A-SSCC), pp.249-252, Nov. 6-8, Seoul, Korea, 2017.
近5年来授权发明专利：
1. 王加庆，窦润江，刘力源，吴南健，秦琦，“基于多种不变性混合的目标跟踪方法和系统”，201711439231.2
2. 王加庆，窦润江，刘力源，吴南健，刘剑，“多互连视觉处理器及采用其的图像处理方法”，201711498263.X
3. 杨旭，于双铭，朱文平，刘力源，吴南健，“一种脉冲序列压缩编码方法和装置”，201910149571.4
4. 张忠星，张广乾，朱文平，刘力源，刘剑，吴南健，“基于光学遥感图像的目标船只检测方法”，201910149622.3
5. 窦润江，刘力源，刘剑，吴南健，“基于特征匹配的亚像素级目标跟踪方法”，201910397719.6
6. 马松，刘力源，窦润江，刘剑，吴南健，“一种开关电容积分器”，201910421151.7
7. 于双铭，刘力源，吴南健，“仿生视觉成像与处理装置”，ZL.201710572643.7
8. 王红伟，王加庆，刘力源，吴南健，秦琦，“基于多层次异构并行处理的高速追踪系统及方法”，ZL.201711498701.2
9. 郭志强，刘力源，吴南健，“CMOS图像传感器”，ZL.201710255127.1
10. 杨锦城，刘力源，刘剑，吴南健，“一种锁相环时钟发生器”，ZL.201710908611.X
11. 马松，刘力源，冯鹏，刘剑，吴南健，“一种基于动态放大器的开关电容积分器”，ZL.201910421155.5
12. 杨锦城，刘力源，刘剑，吴南健，“一种数字锁相环频率综合装置”，ZL.201710908626.6
13. 窦润江，刘力源，吴南健，刘剑，“紧凑型工业相机”，ZL.201711439306.7
14. 方桐，刘力源，刘剑，吴南健，“紧凑型太赫兹波阵列图像传感器芯片”，ZL.201811292306.3
15. 姚兵兵，刘力源，刘剑，吴南健，“一种自适应电荷再分布模数转换器、转换方法及校准方法”，ZL.201410837263.8
16. 姚兵兵，刘力源，刘剑，吴南健，“一种自适应电荷再分布模数转换器、转换方法及校准方法”，ZL.201410837054.3
17. 姚兵兵，刘力源，刘剑，吴南健，“一种自适应电荷再分布模数转换器、转换方法和校准方法”，ZL.201410837188.5
18. 刘朝阳，刘力源，吴南健，“带有读出电路的太赫兹波探测器”，ZL.201510764950.6
19. 姚兵兵，刘力源，刘剑，吴南健, “冗余自适应电荷再分布模数转换器的校准方法”, ZL.201410837266.1
20. 刘力源，吴南健，郭志强, “用于CMOS图像传感器的模拟读出预处理电路及其控制方法”, ZL.201410836377.0
21. 李全良，吴南健，刘力源，韩烨, “用于固态图像传感器的模拟读出预处理电路”, ZL.201410097892.1
22. 秦琦，吴南健，冯鹏，刘力源, “一种图像传感器特性参数测量分析系统”, ZL.201410838194.2
23. Liyuan Liu, et.al, ANALOG READOUT PREPROCESSING CIRCUIT FOR CMOS IMAGE SENSOR AND CONTROL METHOD, No. 995.199US1, Beijing Ref. No. FP160399US/A. (已授权2018.3.27)