I am a tenure-track assistant professor (starting Fall 2023) at the Department of Electrical and Computer Engineering, The George Washington University.
I previously worked as a principal engineer at TSMC, San Jose, CA. Before that, I was a post-doctoral research associate at Washington University in St. Louis where I also obtained my Ph.D. degree.
I am looking for self-motivated Ph.D. students starting in the Fall, Summer, and Spring of each Calendar year to join my team. If you are interested in working with me, please take a look at "Projects/Openings" and drop me an email at (weidong.cao AT gwu.edu).
My research lies in developing advanced algorithms and computing hardware for intelligent autonomous systems by harnessing and integrating techniques from multi-modal AI, multimodal sensors, multi-modal computing fabric, integrated circuits, physics, and information theory, including:
1) Efficient and robust edge ML systems with multi-modal computing fabric: Efficient, flexible, and resilient inference/training computing fabric for edge systems through the co-design/optimization of computer hardware (e.g., in/near-memory computing), architecture (e.g., ECC), and ML algorithms (e.g., compression and quantization);
2) Multi-modal development of novel circuits and computing systems with physics and AI: Physics-inspired development and generative AI-driven electronic design automation for novel very-large-scale integrated circuits (VLSI) and computing systems;
3) Efficient and adaptive sensor fusion and information processing with multi-modal learning: Compressive, adaptive, and privacy-preserving multi-modal sensor.
Education background:
Ph.D., Washington University in St. Louis 2021
M.S., Washington University in St. Louis 2019
M.S., Tsinghua University 2016
B.S., Northwestern Polytechnical University 2013
Professional Experience:
Principal Research Engineer in AI hardware
TSMC Corporate Research, San Jose, CA, USA July 2022 – July 2023
Post-doctoral Research Fellow
Washington University in St. Louis, Saint Louis, MO, USA Aug. 2021 – Jun. 2022
Research Intern
Mitsubishi Electric Research Laboratories, Boston, MA, USA Sep. 2020 – Apr. 2021
08/2025: One invited paper is accepted by IEEE/ACM ICCAD 2025. Congrats to Shikai and Qiufeng, and thanks to our Collaborators, Prof. Chi from Rice University and Prof. Zhang from Northeastern University.
07/2025: Receive GWU CDRF support. This is a collaborative project with the Department of Biomedical Engineering. Thanks to our OVPR.
05/2025: Two regular papers are accepted by IEEE/ACM ISLPED 2025. Congrats to Yiwen and Qiufeng.
05/2025: One collaborative paper is accepted by ICML 2025.
03/2025: Two Late Breaking Results are accepted by DAC 2025. Congrats to Yiwen and Shikai.
02/2025: Two collaborative papers are accepted by DAC 2025.
01/2025: Two papers (one collaborative) are accepted by ISCAS 2025. Congrats to Zhiqiang.
01/2025: One collaborative paper is accepted by ICLR 2025 as a Spotlight (<5.1%).
10/2024: Receive the very competitive AIDRFIC award from NATCAST as a co-PI. Great thanks to our team leader, Prof. David Pan from UT Austin, and the support of NATCAST.
07/2024: Receive GWU UFF support. Thanks to our OVPR.
07/2024: One paper is accepted by TCAD.
05/2024: One co-authored paper is accepted by ACM Transactions on Design Automation of Electronic Systems.
04/2024: Yiwen receives A. Richard Newton Young Student Fellow Award from DAC 2024 (Student).
02/2024: One paper is accepted by DAC 2024.
11/2023: One paper is accepted by TCAD.
03/2023: One co-authored paper is accepted by ISCA 2023.
02/2023: One paper is accepted by DAC 2023.
02/2023: One paper is accepted by ICLR 2023.
01/2023: Two papers are accepted by ISCAS 2023 and invited for TCAS-II Special Issue.