About
I am an undergraduate student in Electrical and Electronic Engineering at Southern University of Science and Technology (SUSTech), advised by Prof. Junmin Jiang. I will join the Hong Kong University of Science and Technology (HKUST) as a PhD student in Electronic and Computer Engineering in Fall 2026, advised by Prof. Wei Zhang.
My research focuses on Analog IC Design Automation, Reinforcement Learning, and AI-driven EDA tools. I collaborate with Prof. Yibo Lin at Peking University on analog layout migration, and Prof. Liangqiong Qu at The University of Hong Kong on federated learning and medical AI.
Research Interests: Analog IC Design Automation, Reinforcement Learning, Multimodal Large Models, AI for EDA, Computer Vision
Recent News
- [Jan 2026] One co-first authored paper is accepted at ISCAS 2026
- [Dec 2025] Our co-authored paper is accepted at IEEE TPAMI
- [Nov 2025] My offer in HKUST is arrived
- [Nov 2025] Our paper on analog circuit sizing optimization（FD-MAGRPO） is accepted at AAAI 2026
- [Nov 2025] Our paper on analog circuit grouping（ACEMARL） is accepted as at DATE 2026
- [Nov 2025] Our paper on analog layout migration (GRAIN) accepted as Extended Abstract at DATE 2026
- [June 2025] Awarded HKSTP2025 grant (100,000 RMB) as Principal Investigator
- [May 2025] Won International Second Prize at ASC25 World Supercomputing Competition
- [Jan - Mar 2025] AI Algorithm Internship at HUAWEI Ascend LLM Team
- [Nov 2024] Awarded Guangdong Climbing Project grant (20,000 RMB) as Leader
- [Nov 2024] Excellence Award (Top 8) at APAC HPC-AI Competition
- [Apr 2024] International Second Prize at ASC24 World Supercomputing Competition
Education
Hong Kong University of Science and Technology (HKUST), Hong Kong Ph.D. in Electronic and Computer Engineering, Fall 2026 (incoming) Advisor: Prof. Wei Zhang
Southern University of Science and Technology (SUSTech), Shenzhen, China B.S. in Electrical and Electronic Engineering, Sep. 2022 - June 2026 (expected) GPA: 3.72/4.0 (90.14/100)
Experience
AI Algorithm Intern, HUAWEI Ascend LLM Team | Jan. 2025 - Mar. 2025
- Built text-to-image pipelines (Stable Diffusion) using Diffusers framework
- Reduced GPU memory usage by 45% through tiled matrix computation and online softmax optimization
- Hosted technical workshops on distributed training, LoRA fine-tuning, and GRPO algorithm
Selected Research Projects
Analog IC Design Automation | Peking University & SUSTech
- Design-intent-driven analog layout migration framework achieving 45.4% performance improvement in 65nm→40nm/28nm migrations
- Critic-free GRPO framework with 7.9×-45.6× faster convergence than MA-PPO
- Novel device grouping method achieving 5.2× faster training
Medical AI & Federated Learning | The University of Hong Kong
- Foundation model for presurgical brain tumor diagnosis
- Privacy risk evaluation through gradient inversion attacks
- Vision-language pretraining for medical imaging alignment
AI-Powered EDA Tools | Tsinghua University
- Deep learning system for MOSFET curve extraction (89.3% accuracy)
- MLLM validation improving reliability by 22%
Honors & Awards
- ASC25 World Supercomputing Competition - International Second Prize (May 2025)
- Research Fundings - HKSTP2025 (100,000 RMB) + Guangdong Climbing Project (20,000 RMB, PI) (2025)
- APAC HPC-AI Competition - Excellence Award, Top 8 (Nov 2024)
- ASC24 World Supercomputing Competition - International Second Prize (Apr 2024)
- Computer System Design Competition - First Prize, South China Region (2024)
Academic Service
Reviewer and Program Committee Member: AAAI 2026, CVPR 2026
Patents
MARL Optimization Method for Analog Circuits and Related Devices (Invention Patent) Wu Han, Jiang Junmin, Jiang Haoning, Wang Ziheng, Ouyang Zhuoli, Liang Bushu