Scholar

Xiyuan Tang

Google Scholar ID: jRelNbQAAAAJ

Peking University

Analog/Mixed Signal

Citations & Impact

All-time

Citations

3,429

H-index

i10-index

Publications

Co-authors

list available

Contact

No contact links provided.

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

October 2025: 3 papers accepted to ISSCC 2026! Congrats to Zihan, Zongnan, and Jingpeng!
April 2025: Zongnan’s high-precision ADC accepted to VLSI 2025!
January 2025: Haoyang’s sensor readout circuit accepted to CICC 2025!
January 2025: Haikang’s FP CIM accepted to JSSC 2025!
October 2024: 3 papers accepted to ISSCC 2025! Congrats to Zihan, Zongnan, and Bingrui!
August 2024: Haikang’s approximate CIM published on JSSC 2024!
July 2024: Congratulations to Jiahao, Zilong, and Jiajun on their Graduation!
January 2024: Three papers accepted to CICC 2024! Congrats to Haikang, Zilong, and Xin/Jiahao!
October 2023: Jiahao and Zihan’s Ising Machine accepted to ISSCC 2024! See ya in San Francisco!
September 2023: Jingpeng, Zichen, and Jiachang joined PRIME lab as Ph.D. candidates. Welcome!
March 2023: Jiahao’s transpose SRAM CIM published on TCAS-I!
January 2023: Jiahao’s Robust-CIM and Zilong’s sensor readout chips accepted to CICC 2023!
October 2022: Zongnan’s high-precision ADC accepted to ISSCC 2023! See ya in San Francisco!
September 2022: Haikang and Zongnan joined PRIME research group as Ph.D. candidates. Welcome!
July 2022: Jiahao Song’s CIM macro accepted to ASSCC 2022. Cheers!
July 2022: Yixuan’s stochastic computing NN processor accepted to SSCL. Cheers!
March 2022: Jiahao Song’s paper accepted to SSCL.
September 2021: Haoyang joined PRIME research group as a Ph.D. student. Welcome!
July 2021: Xiyuan joined Peking University as an Assistant Professor!

Research Experience

PRIME Research Group has multiple openings for postdoc, graduate, and undergraduate students in emerging analog/mixed-signal research.

Education

Background

Research Interests: Developing energy-efficient world-machine interfaces that can sense, perceive, reason, and communicate, serving as the foundation for embodied artificial intelligence. Recent research focuses on AMS circuit techniques, emphasizing efficient signal-conditioning circuits and emerging edge intelligent processors.

Miscellany