2022年10月至今，复旦大学芯片与系统前沿技术研究院青年副研究员，复旦大学卓学优秀人才

2020年7月-2022年9月，复旦大学芯片与系统前沿技术研究院博士后，上海市超博

2015年9月-2020年6月，中国科学院微电子研究所，硕博连读，获得工学博士学位。

2018年9月-2019年10月，美国马萨诸塞大学安姆斯特分校，访学博士。

研究内容：面向脉冲驱动型忆阻类脑系统的实现，研究基于忆阻动力学的新型神经元电路实现方法、基于脉冲的新型计算和通讯方式以及脉冲驱动的忆阻类脑芯片。从感知、计算和控制三个层面探索脉冲驱动型类脑芯片在人形机器人及无人机等领域的应用，为发展下一代人工智能硬件提供新方案。当前以第一/通讯作者在Nat. Mater. Nat. Commun., Adv. Mater., IEDM, IEEE Electron Device Lett. 等期刊/会议上发表学术论文20余篇，ESI高引2篇。申请10余项，授权5项。Google学术引用3700余次。

代表论著：

1. Yue Yang^#, Fangduo Zhu^#, Xumeng Zhang*, Pei Chen, Yongzhou Wang, Jiaxue Zhu, Yanting Ding, Lingli Cheng, Chao Li, Hao Jiang, Zhongrui Wang, Peng Lin, Tuo Shi, Ming Wang, Qi Liu*, Ningsheng Xu, Ming Liu, “Firing feature-driven neural circuits with scalable memristive neurons for robotic obstacle avoidance”, Nature Communications, 15(4318), 2024.

2. Guangjian Wu^#, Xumeng Zhang^#, Guangdi Feng^#, Jingli Wang, Keji Zhou, Jinhua Zeng, Danian Dong, Fangduo Zhu, Chenkai Yang, Xiaoming Zhao, Danni Gong, Mengru Zhang, Bobo Tian, Chungang Duan, Qi Liu, Jianlu Wang, Junhao Chu, Ming Liu, “Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computing”, Nature Materials, 22(6862), 1499–1506, 2023.

3. Rongrong Cao^#, Xumeng Zhang^#, Sen Liu^#, Jikai Lu, Yongzhou Wang, Hao Jiang, Yang Yang, Yize Sun, Wei Wei, Jianlu Wang, Hui Xu, Qingjiang Li*, Qi Liu*, “Compact artificial neuron based on anti-ferroelectric transistor”, Nature Communications, 13, 7018 (2022).

4. Zhongfang Zhang, Xiaolong Zhao*, Xumeng Zhang*, Xiaohu Hou, Xiaolan Ma, Shuangzhu Tang, Ying Zhang, Guangwei Xu, Qi Liu, and Shibing Long*, “In-sensor reservoir computing system for latent fingerprint recognition with deep ultraviolet photo-synapses and memristor array”, Nature Communications, 13, 6590 (2022).

5. Xumeng Zhang, Ye Zhuo, Qing Luo, Zuheng Wu, Rivu Midya, Zhongrui Wang, Wenhao Song, Rui Wang, Navnidhi K. Upadhyay, Yilin Fang, Fatemeh Kiani, Mingyi Rao, Yang Yang, Qingfei Xia, Qi Liu^*, Ming Liu^*, and J. Joshua Yang^*, “An Artificial Spiking Afferent Nerve Based on Mott Memristors for Neuro-robotics”, Nature Communications, Jan. 2020, 11(20): 3372.

6. Jiaxue Zhu, Xumeng Zhang*, Rui Wang, Ming Wang, Pei Chen, Lingli Cheng, Zuheng Wu, Yongzhou Wang, Qi Liu*, Ming Liu, “A Heterogeneously Integrated Spiking Neuron Array for Multimode-Fused Perception and Object Classification”, Advanced Materials, 2200481, 2022.

7. Xumeng Zhang^#, Jian Lu^#, Zhongrui Wang, Rui Wang, Jinsong Wei, Tuo Shi, Chunmeng Dou, Zuheng Wu, Jiaxue Zhu, Dashan Shang, Guozhong Xing, Mansun Chan, Qi Liu*, and Ming Liu, “Hybrid Memristor-CMOS Neurons for In-situ Learning in Fully Hardware Memristive Spiking Neural Networks”, Science Bulletin, Aug. 2021, 66(16): 1624-1633.

8. Xumeng Zhang^#, Zuheng Wu^#, Jikai Lu, Jinsong Wei, Jian Lu, Jiaxue Zhu, Jie Qiu, Rui Wang, Kaihua Lou, Yongzhou Wang, Tuo Shi, Chunmeng Dou, Dashan Shang, Qi Liu*, and Ming Liu*, “Fully Memristive SNNs with Temporal Coding for Fast and Low-power Edge Computing”, in IEDM Tech. Dig., Dec. 2020, San Francisco, US.

9. Xumeng Zhang, Zhongrui Wang, Wenhao Song, Rivu Midya, Ye Zhuo, Rui Wang, Mingyi Rao, Navhidhi K. Upadhyay, Qiangfei Xia, J. Joshua Yang^*, Qi Liu^*, and Ming Liu^*, “Experimental Demonstration of Conversion-Based SNNs with 1T1R Mott Neurons for Neuromorphic Inference”, in IEDM Tech. Dig., Dec. 2019, San Francisco, US.

10. Yanting Ding, Yu Li, Shujing Jia, Pei Chen, Xumeng Zhang*, Wei Wang, Yang Li, Yunxia Hao, Jinshun Bi, Tiancheng Gong, Hao Jiang, Ming Wang, Qi Liu*, Ningsheng Xu, Ming Liu, “Fatigue of NbO_x-Based Locally Active Memristors—Part I: Experimental Characteristics”, IEEE Transactions on Electron Devices, 70 (12), 6600 – 6605, 2023.

11. Yu Li, Yanting Ding, Xumeng Zhang*, Shujing Jia, Wei Wang, Yang Li, Ming Wang, Hao Jiang*, Qi Liu*, Ningsheng Xu, Ming Liu, “Fatigue of NbO_x-Based Locally Active Memristors—Part II: Mechanisms and Modeling”, IEEE Transactions on Electron Devices, 70 (12), 6606 – 6612, 2023.

12. Chao Li, Fangduo Zhu, Xumeng Zhang*, Pei Chen, Yajun Zhang, Yue Yang, Lingli Cheng, Yanting Ding, Ming Wang, Zhe Yuan, and Qi Liu, “Anticipative Objective Tracking with Short-Term Memristive Synapses”, IEEE Electron Device Letters, 45(2), 2024.

13. Chao Li, Xumeng Zhang*, Pei Chen, Keji Zhou, Jie Yu, Guangjian Wu, Du Xiang*, Hao Jiang, Ming Wang, Qi Liu*, “Short-term synaptic plasticity in emerging devices for neuromorphic computing”, iScience,  26(4), 2023.

14. Pei Chen, Xumeng Zhang*, Zuheng Wu, Yongzhou Wang, Jiaxue Zhu, Yunxia Hao, Guan Feng, Yize Sun, Tuo Shi, Ming Wang, Qi Liu*, “High-Yield and Uniform NbOₓ-Based Threshold Switching Devices for Neuron Applications”, IEEE Transactions on Electron Devices, 69 (5), 2391 – 2397, 2022.

15. Xumeng Zhang, Sen Liu, Xiaolong Zhao, Facai Wu, Quantan Wu, Wei Wang, Rongrong Cao, Yilin Fang, Hangbing Lv, Shibing Long, Qi Liu^*, and Ming Liu, “Emulating Short-term and Long-term Plasticity of Bio-Synapse Based on Cu/a-Si/Pt Memristor”, IEEE Electron Device Letters, Sep. 2017, 38(9): 1208-1211.

16. Xumeng Zhang^#,Wei Wang^#, Qi Liu^*, Xiaolong Zhao, Jingsong Wei, Rongrong Cao, Zhihong Yao, Xiaoli Zhu, Feng Zhang, Hangbing Lv, Shibing Long, and Ming Liu, “An Artificial Neuron Based on a Threshold Switching Memristor”, IEEE Electron Device Letters, Feb. 2018, 39(2): 308-311.

……

专利申请

1. 张续猛，刘琦，刘明，黄张成，一种动态唤醒神经元电路及事件驱动神经网络系统（申请号：202111488369.8）

2. 黄张成，张续猛，刘琦，具有盲元记忆和抑制功能的读出电路和红外探测器（申请号：202110399234）

3. 刘琦，张续猛，刘明，吕杭炳，龙世兵，赵晓龙，基于易失性阈值转变器件的神经元电路（授权号：CN107909146B）

4. 刘琦，张续猛，刘明，吕杭炳，龙世兵，一种神经元电路以及神经网络电路（申请号：CN109102071A）

5. 刘琦，张续猛，刘明，吕杭炳，龙世兵，吴祖恒，一种传入神经元电路及机械感受系统（申请号：201911127991.9）

6. 刘琦，张续猛，曹荣荣，刘明，吴祖恒，一种神经元电路、基于神经网络的集成电路和电子设备（申请号：201911127991.9）

获奖及荣誉

1. 2021年，中科院百篇优博论文

2. 2021年，电子学会优秀博士论文

3. 2020年度中国科学院“院长特别奖”

4. 2020年度“王守武”奖学金优秀奖

5. 2020年度中国科学院大学“优秀毕业生”

6. 2020年度“北京市优秀毕业生”

7. 2018年度博士研究生国家奖学金

8. 2020年度，上海脑中心求索杰出青年