Scholar
Weidong Cao
Google Scholar ID: 9WpO0ZcAAAAJ
Assistant Professor, The George Washington University
EDA
VLSI
Computer Architecture
Quantum Computing
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Citations & Impact
All-time
Citations
484
H-index
14
i10-index
16
Publications
20
Co-authors
0
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Publications
7 items
IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents
2026
Cited
0
When Forgetting Builds Reliability: LLM Unlearning for Reliable Hardware Code Generation
2025
Cited
0
HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization
2025
Cited
0
AnalogFed: Federated Discovery of Analog Circuit Topologies with Generative AI
2025
Cited
0
Unicorn-CIM: Unconvering the Vulnerability and Improving the Resilience of High-Precision Compute-in-Memory
2025
Cited
0
AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies
2025
Cited
1
A Hybrid-Domain Floating-Point Compute-in-Memory Architecture for Efficient Acceleration of High-Precision Deep Neural Networks
2025
Cited
0
Resume (English only)
Academic Achievements
Aug 2025: One invited paper accepted by IEEE/ACM ICCAD 2025
Jul 2025: Awarded GWU CDRF support (collaborative project with Department of Biomedical Engineering)
May 2025: Two regular papers accepted by IEEE/ACM ISLPED 2025; one collaborative paper accepted by ICML 2025
Mar 2025: Two Late Breaking Results accepted by DAC 2025
Feb 2025: Two collaborative papers accepted by DAC 2025
Jan 2025: Two papers (one collaborative) accepted by ISCAS 2025; one collaborative paper accepted by ICLR 2025 as Spotlight (<5.1%)
Oct 2024: Co-PI awarded the competitive AIDRFIC grant from NATCAST
Jul 2024: Awarded GWU UFF support; one paper accepted by TCAD
May 2024: One co-authored paper accepted by ACM Transactions on Design Automation of Electronic Systems
Apr 2024: Student Yiwen received A. Richard Newton Young Student Fellow Award from DAC 2024
Feb 2024: One paper accepted by DAC 2024
Nov 2023: One paper accepted by TCAD
Background
Tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at The George Washington University (starting Fall 2023)
Research focuses on developing advanced algorithms and computing hardware for intelligent autonomous systems
Integrates techniques from multi-modal AI, multi-modal sensors, multi-modal computing fabric, integrated circuits, physics, and information theory
Specific research directions include:
1) Efficient and robust edge ML systems with multi-modal computing fabric (co-design of hardware, architecture, and ML algorithms)
2) Physics-inspired and generative AI-driven development of novel VLSI circuits and computing systems
3) Efficient, adaptive, and privacy-preserving multi-modal sensor fusion and information processing
Co-authors
0 total
Co-authors: 0 (list not available)
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