About Me
I am a Master's student in Electrical and Computer Engineering (ECE) at UCLA, expected to graduate in 2026. Previously, I received my B.Eng. degree in Communication Engineering from UESTC.
My research background mainly focuses on Probabilistic Modeling for satellite routing, Non-Convex Optimization for path decision-making, and Deep Learning (specifically applied to neural signal decoding).
Currently, I am actively exploring the fields of Embodied AI and Physical Intelligence, seeking to bridge high-level perception with robust physical interactions.
News
- 2026.01 Begin to intern at AIVC Lab at UCLA! New journey!
- 2026.01 Paper "Turning Reliability into Shortest Path: Parameterized Probabilistic Routing for LEO Satellite Networks" accepted to WCNC 2026.
- 2025.11 Paper "Probabilistic Link Weighting via Feature Fusion for Routing in LEO Satellite Networks" accepted to ISNCC 2025.
- 2024.09 Started my M.S. journey at UCLA ECE Department.
Education
University of California, Los Angeles
M.S. in Electrical and Computer Engineering
UESTC
B.Eng. in Communication Engineering
Research Experience
Neural Signal Decoding for Brain-to-Text Translation
2025University of California, Los Angeles
Developed a robust neural decoding pipeline using dual-mask augmentation and consistency-regularized CTC, reducing Phoneme Error Rate from 21.78% to 15.33%.
View ProjectRobust Routing in LEO Satellite Networks
2024 - 2025National Key Lab of Wireless Communication (Research Intern)
Proposed a probabilistic feature fusion and non-convex optimization framework for robust satellite routing, achieving a 52.4% reduction in flow drop rate.
Semantic Communication for Instruction-Oriented Text
2025Tsinghua University (Summer Intern)
Designed a structured semantic communication system decomposing instruction-like text to enhance fidelity and reliability in critical dialogue tasks.