News | 孙仲（Zhong Sun）

Apr. 2024

Prof. Zhong Sun was appointed to the Editorial Advisory Board of APL Machine Learning.

Mar. 2024

Lunshuai Pan presented his work at the prestigious conference Design Automation and Test in Europe (DATE) 2024:

BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems

Congratulations to Lunshuai for the nice work!

Mar. 2024

Yubiao Luo's first-author paper is online in Science China Information Sciences:

Smaller, Faster, Lower-Power Analog RRAM Matrix Computing Circuits Without Performance Compromise

Congratulations to Yubiao for the nice work!

Mar. 2024

Prof. Zhong Sun was invited to give a talk about "A full spectrum of computing-in-memory technologies" at the Conference of Science & Technology for Integrated Circuits (CSTIC) 2024, which was held in Shanghai. It was very pleased to meet with Prof. Daniele Ielmini.

Jan. 2024

Prof. Zhong Sun was appointed as a Youth Editorial Board Member of Electronics and Signal Processing.

Dec. 2023

Prof. Zhong Sun was invited to the Horizon Robotics to give a talk about "A full spectrum of computing-in-memory technologies".

Dec. 2023

Shiqing Wang's first-author paper is online in Science Advances:

In-memory analog solution of compressed sensing recovery in one step

Congratulations to Shiqing for this excellent work!

Nov. 2023

Our review paper on computing-in-memory (CIM) is online in Nature Electronics:

A full spectrum of computing-in-memory technologies

This is a remarkable result of international cooperation. Co-authors include Prof. Shahar Kvatinsky (Technion—Israel Institute of Technology, Israel), Prof. Xin Si (Southeast University, China), Prof. Adnan Mehonic (UCL, UK), Prof. Yimao Cai and Prof. Ru Huang (Peking University, China).

Nov. 2023

Prof. Zhong Sun presented a talk titled "Compensation methods for computing-in-memory (CIM)" at the MEMRISYS 2023 conference.

Oct. 2023

Prof. Zhong Sun, as a Special Issue Editor, started a special issue about "Analog Circuits and Analog Computing" in the Electronics journal. The aim of this special issue is to attract reviews and original research outcomes related to the design of analog circuits and their applications to analog computing.

Jun. 2023

Prof. Zhong Sun delivered two Tutorial lectures (Part I and Part II) at the IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2023 conference.

Apr. 2023

Prof. Zhong Sun was recognized as a member of the Intelligent Computing Innovators China 2022!

You can find more information about this Award in many mainstream media (but in Chinese), e.g., the Tencent.

Mar. 2023

Our Review paper “In-memory computing with emerging memory devices: Status and outlook” has been featured on the cover of the inaugural issue of APL Machine Learning! See the link:

In-memory computing with emerging memory devices: Status and outlook

Additionally, a Scilight "Addressing the memory bottleneck with in-memory computing," of this paper was published. Link:

Addressing the memory bottleneck with in-memory computing

Feb. 2023

Pushen Zuo's first first-author paper is online in IEEE TCAS-II:

Extremely-Fast, Energy-Efficient Massive MIMO Precoding with Analog RRAM Matrix Computing

Congratulations to Pushen for the nice work! In this work, for the first time, we apply the emerging analog matrix computing (AMC) to the linear precoding of massive MIMO. Results show that the zero-forcing precoding is solved within 20 ns for a 16x128 MIMO system, which is two orders of magnitude faster than the conventional digital approach. Meanwhile, the energy efficiency is improved by 50x.

Jan. 2023

Prof. Zhong Sun, together with Dr. Hongwei Tan (Aalto University, Finland) and Dr. Xiaojian Zhu (Ningbo Institute of Materials Technology and Engineering, China) co-edited a special issue in Frontiers in Computational Neuroscience:

Neuro-inspired Sensing and Computing: Novel Materials, Devices, and Systems

which collects 4 excellent papers, highlighting the most recent advances and achievements in neuro-inspired intelligent sensing and computing from researchers with multidisciplinary and interdisciplinary backgrounds. Enjoy!

Nov. 2022

Prof. Zhong Sun was invited to give a talk at the prestigious conference MEMRISYS 2022, which is organized by MIT this year.

Aug. 2022

Prof. Zhong Sun was selected as an editorial board member of the SmartMat journal.

Aug. 2022

Yubiao Luo's first first-author paper is online in IEEE TCAS-I:

Modeling and Mitigating the Interconnect Resistance Issue in Analog RRAM Matrix Computing Circuits

Congratulations to Yubiao for the nice work! Yubiao is now a senior undergraduate student, he completed this work in his junior year.

Aug. 2022

Prof. Zhong Sun presented a lecture to the CIE (Chinese Institute of Electronics) community, here is the online video (in Chinese):

【CIE云讲堂】|0821|北京大学孙仲：新时代的模拟计算：模拟矩阵计算

May 2022

Prof. Zhong Sun, together with Prof. Daniele Ielmini from Polimi (Italy), were invited to write a Tutorial for IEEE TCAS-II. The paper is on line now:

Invited Tutorial: Analog Matrix Computing with Crosspoint Resistive Memory Arrays

Apr. 2022

Prof. Zhong Sun was invited to present a talk at VLSI-TSA 2022. The proceeding is as follows:

Analog Matrix Computing with Resistive Memory: Circuits and Theory

Nov. 2021

One paper co-authored by Prof. Zhong Sun and researchers from Polimi (Italy) is online in IEEE TCAS-I:

A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors

Shiqing Wang's first first-author paper is online in IEEE TCAS-I:

Optimization Schemes for In-Memory Linear Regression Circuit With Memristor Arrays

Congratulations to Shiqing for the nice work!

Both papers will be included in the Special Issue for 50th Birthday of Memristor.

Sep. 2021

Prof. Zhong Sun was invited to attend the IFFS Conference on Electronic Science and Technology which was organized by University of Electronic Science and Technology of China. Zhong reported on "Analog matrix computing with crosspoint resistive memory arrays", and chaired one of the sessions "In-memory computing and neuromorphic computing".

Jul. 2021

Two papers co-authored by Prof. Zhong Sun and researchers from Polimi (Italy), HP Labs (USA), HKU and Peter Grünberg Institute (Germany) are online in IEEE TED:

Redundancy and Analog Slicing for Precise in-Memory Machine Learning--Part I: Programming Techniques

Redundancy and Analog Slicing for Precise In-Memory Machine Learning--Part II: Applications and Benchmark

Jul. 2021

Prof. Zhong Sun was invited to attend the 23rd National Semiconductor Physics Conference (SPC 2021), presenting the topic of "Time complexity of in-memory analog computing".

Apr. 2021

Yubiao Luo (Peking Univ.) joined the group. Welcome on board!

Mar. 2021

A new paper co-authored by Prof. Zhong Sun and Prof. Ru Huang is online in IEEE TCAS-II:

Time Complexity of In Memory Matrix-Vector Multiplication

Dec. 2020

Chengjin Wang (Nankai Univ.) and Yuheng Liu (Peking Univ.) joined the group. Welcome on board!

Nov. 2020

Xiaomin Xiao (Peking Univ.) joined the group. Welcome on board!

Oct. 2020

Prof. Zhong Sun was invited to give a talk at the 2020 Beijing Brain Conference (Sub-Forum: Brain-inspired Computing Technology).

Jul. 2020

Shiqing Wang (Nanjing Univ.) joined the group. Welcome on board! Shiqing will be admitted as a PhD student at Peking University in the fall semester of 2021.