Curriculum Vitae
🎓 Education
Ph.D. in Electronic and Computer Engineering Fall 2026 (incoming)
Hong Kong University of Science and Technology (HKUST)
Advisor: Prof. Wei Zhang
Advisor: Prof. Wei Zhang
B.S. in Electrical and Electronic Engineering Sep. 2022 - June 2026 (expected)
Southern University of Science and Technology (SUSTech), Shenzhen, China
GPA: 3.72/4.0 (90.14/100)
GPA: 3.72/4.0 (90.14/100)
Core Courses
- Methods in Mathematical Physics
- Microwave Engineering
- Wireless Communications
- Optoelectronics Intellisense
- Communication Principles
- Solid-State Electronics
- Data Communications and Networking
💼 Work Experience
AI Algorithm Intern Jan. 2025 - Mar. 2025
Ascend LLM Team, Hunan Kunpeng Ecological Innovation Research Center (HUAWEI)
Changsha, Hunan, China
Changsha, Hunan, China
- Built text-to-image and image generation pipelines using Diffusers framework with Stable Diffusion
- Hosted technical workshops on reinforcement learning and post-training techniques (GRPO algorithm)
- Implemented tiled matrix computation and online softmax, reducing GPU memory usage by 45%
🔬 Research Experience
Analog Circuit Design Automation
- Design-Intent-Driven Interactive Analog Layout Migration Framework, Peking University (Advisor: Prof. Yibo Lin)
- Reinforcement Learning in Analog Circuit Sizing, SUSTech (Advisor: Prof. Junmin Jiang)
- Achieved 5.2×-45.6× faster convergence using novel GRPO framework
Federated Learning and Medical AI
- Privacy-Preserving Federated Learning, The University of Hong Kong (Advisor: Prof. Liangqiong Qu)
- Multimodal LLM for Brain Tumor Diagnosis, The University of Hong Kong (Advisor: Prof. Liangqiong Qu)
Computer Vision and Edge Computing
- AI-Powered SPICE Modeling Chart Analyzer, Tsinghua University (Advisor: Prof. Jian Song)
- Real-Time Table Tennis Ball Tracking System, SUSTech (Advisor: Prof. Xihan Chen)
🛠️ Skills
EDA Tools
Cadence Virtuoso, Mentor Calibre, GDSTK
Cadence Virtuoso, Mentor Calibre, GDSTK
Deep Learning
PyTorch, TensorFlow, Diffusers
PyTorch, TensorFlow, Diffusers
Algorithms & Models
Stable Diffusion, GRPO, YOLO, Cascade R-CNN, Mask2Former, MAE, CLIP, SAM
Stable Diffusion, GRPO, YOLO, Cascade R-CNN, Mask2Former, MAE, CLIP, SAM
Research Areas
Analog IC Design Automation, Reinforcement Learning, Federated Learning, Computer Vision
Analog IC Design Automation, Reinforcement Learning, Federated Learning, Computer Vision
📝 Publications
10 papers (including submissions to BMJ, DATE, ISCAS, AAAI, DAC, TCAD, TPAMI)
→ View Full Publication List
🏆 Awards & Fundings
ASC25 World Supercomputing Competition
International Second Prize (May 2025)
International Second Prize (May 2025)
APAC HPC-AI Competition
Excellence Award, Top 8 (Nov. 2024)
Excellence Award, Top 8 (Nov. 2024)
ASC24 World Supercomputing Competition
International Second Prize (Apr. 2024)
International Second Prize (Apr. 2024)
Computer System Design Competition
First Prize, South China Region
First Prize, South China Region
Guangdong Climbing Project 2025
PI, 20,000 RMB Grant
PI, 20,000 RMB Grant
HKSTP2025
Research Grant, 100,000 RMB
Research Grant, 100,000 RMB
📜 Patents
MARL Optimization Method for Analog Circuits and Related Devices (Invention Patent)
Wu Han, Jiang Junmin, Jiang Haoning, Wang Ziheng, Ouyang Zhuoli, Liang Bushu
Wu Han, Jiang Junmin, Jiang Haoning, Wang Ziheng, Ouyang Zhuoli, Liang Bushu
📋 Academic Service
Reviewer and Program Committee Member: AAAI 2026, CVPR 2026