张学永职务:
单位:东南大学 电话: 出生年月: 邮箱:xueyong.zhang@seu.edu.cn 学历:博士 地址: 职称:教授
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  • 教学授课
  • 科学研究
  • 荣誉奖励
  • 团队及招生情况
个人简介
东南大学青年首席教授,博导,入选国家高层次青年人才。博士毕业于南洋理工大学,曾先后在矽力杰、华为新加坡研所工作。长期从事高性能模拟和数模混合集成电路方面的研究,在神经形态芯片等国际学术前沿领域取得多项原创性研究成果,相关成果发表在IEEE JSSC、TCAS-I等学术期刊和IEEE CICC、ISCAS等国际会议。
教育经历
工作经历
讲授课程
教学研究
出版物
研究领域或方向

高性能数模混合芯片设计,包括电源管理芯片、数据转换芯片、神经形态和类脑计算、感存算一体化芯片设计等。

研究项目
研究成果

近年代表作:

[1] X. Zhang and A. Basu, A 915–1220 TOPS/W, 976–1301 GOPS Hybrid In-Memory Computing Based Always-On Image Processing for Neuromorphic Vision Sensors, in IEEE Journal of Solid-State Circuits, vol. 58, no. 3, pp. 589-599, March 2023, doi: 10.1109/JSSC.2022.3218573.

[2] X. Zhang, B. -K. An and T. T. -H. Kim, A Robust Time-Based Multi-Level Sensing Circuit for Resistive Memory, in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 70, no. 1, pp. 340-352, Jan. 2023, doi: 10.1109/TCSI. 2022.3211989.

[3] X. Zhang, J. Acharya and A. Basu, A 0.11–0.38 pJ/cycle Differential Ring Oscillator in 65 nm CMOS for Robust Neurocomputing, in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 2, pp. 617-630, Feb. 2021, doi: 10.1109/TCSI.2020.3036454.

[4] X. Zhang, V. Mohan and A. Basu, CRAM: Collocated SRAM and DRAM With In-Memory Computing-Based Denoising and Filling for Neuromorphic Vision Sensors in 65 nm CMOS, in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 5, pp. 816-820, May 2020, doi: 10.1109/TCSII.2020.2980125.

[5] X. Zhang and A. Basu, A 915–1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS, 2022 IEEE Custom Integrated Circuits Conference (CICC), Newport Beach, CA, USA, 2022, pp. 1-2, doi: 10.1109/CICC53496. 2022.9772788.

[6] A. Basu, L. Deng, C. Frenkel and X. Zhang, Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions, 2022 IEEE Custom Integrated Circuits Conference (CICC), Newport Beach, CA, USA, 2022, pp. 1-8, doi: 10.1109/CICC53496.2022.9772783.


学术兼职
团队介绍
招生情况

每年招收博士生2名,硕士生4名。

毕业生介绍