Jichang Yang

I am a Postdoctoral Fellow in the Department of Electrical and Computer Engineering, The University of Hong Kong (HKU), supervised by Prof. Han Wang. I am also with the Center for Advanced Semiconductors and Integrated Circuits (CASIC), HKU. During my PhD, I was advised by Prof. Han Wang and Prof. Zhongrui Wang. As a first or co-first author, I have papers published or accepted in Nature Communications, Science Advances, and Advanced Materials, and at IEDM (3 papers). My research lies at the intersection of advanced semiconductor devices and next-generation Edge AI computing systems, with a specific focus on in-memory computing. My current work involves the circuit-level optimization of RRAM-based in-memory computing systems, aiming to overcome the hardware bottlenecks that limit efficient inference and on-device learning at the edge.

Beyond the chip itself, I build the embedded systems around it, with hands-on experience in circuit design, hardware-software co-design, and control system simulation, drawing on my earlier background in power electronics and motor control. I aim to empower traditional industrial frameworks by integrating the intelligent capabilities of in-memory computing, leveraging the synergistic strengths of both to build smarter and more efficient edge computing systems.

News

Selected publications

1. 
   2026 IEEE International Electron Devices Meeting (IEDM) · 2026 · Accepted

   All-PWM RRAM compute-in-memory with in-loop state memory for energy-efficient closed-loop state evolution

   Jichang Yang†, Xinyuan Zhang†, Songqi Wang†, and 8 more authors
2. 
   2026 IEEE International Electron Devices Meeting (IEDM) · 2026 · Accepted

   Comprehensive reliability enhancement for high-precision RRAM compute-in-memory via fault-aware hadamard transform and low-rank compensation

   Jichang Yang†, Xinyuan Zhang†, Jia Chen†, and 9 more authors
3. 
   Nature Communications · 2026

   Resistive memory-based neural differential equation solver for score-based diffusion model

   Jichang Yang†, Hegan Chen†, Jia Chen†*, and 23 more authors

   Paper ↗
4. 
   2024 IEEE International Electron Devices Meeting (IEDM) · 2024

   Conditional Diffusion Model Acceleration with First-Demonstrated RRAM-Based In-Memory Neural Differential Equation Solver

   Jichang Yang†, Hegan Chen†, Jia Chen, and 12 more authors

   Paper ↗
5. 
   Science Advances · 2025

   Continuous-time digital twin with analog memristive neural ordinary differential equation solver

   Hegan Chen†, Jichang Yang†, Jia Chen†*, and 23 more authors

   Paper ↗
6. 
   Advanced Materials · 2026

   Adaptive Redox Resistive Memory Programming for Efficient and Robust Class-Incremental Learning

   Yi Li†, Jichang Yang†, Qunsheng Hou†, and 11 more authors

   Paper ↗

View all publications →

Education

The University of Hong Kong2022.09 – 2026.08

Ph.D., Electrical and Computer Engineering

In-memory computing, resistive memory and analog circuit design

Advisors: Prof. Han Wang and Prof. Zhongrui Wang

Huazhong University of Science and Technology2019.09 – 2022.06

M.S., Center for Advanced Electrical Machine and Drives

Active magnetic bearing, control systems and power electronics

Advisors: Prof. Dong Jiang and Prof. Ronghai Qu

Huazhong University of Science and Technology2015.09 – 2019.06

B.S., Electrical and Electronic Engineering

Talks

1. Nov 27, 2025 · Invited Talk

   Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model

   Institute of Microelectronics, Chinese Academy of Sciences (IMECAS) · Beijing, China

2. Nov 25, 2025 · Seminar

   Diffusion Model Acceleration with RRAM-based In-memory Neural Differential Equation Solver

   Department of Electrical and Computer Engineering, The University of Hong Kong · Hong Kong SAR, China

3. Jun 10, 2025 · Presentation

   Guarder: A Stable and Lightweight Reconfigurable RRAM-based PIM Accelerator for DNN IP Protection

   IEEE Design Automation Conference (DAC), 2025 · San Francisco, CA, USA

4. Dec 10, 2024 · Presentation

   Conditional Diffusion Model Acceleration with First-Demonstrated RRAM-based In-memory Neural Differential Equation Solver

   IEEE International Electron Devices Meeting (IEDM), 2024 · San Francisco, CA, USA

Teaching

Teaching assistant at The University of Hong Kong.

1. 2025 - 2026Fall · Undergraduate course

   ELEC3350 Electronic circuits and devices I

2. 2024 - 2025Fall · Undergraduate course

   ELEC3350 Electronic circuits and devices I

3. 2023 - 2024Spring · Graduate course

   ELEC6049 Digital system design techniques (Awarded Best TA)

4. 2022 - 2023Spring · Graduate course

   ELEC6049 Digital system design techniques