CV

Education

• Ph.D student, Michigan State University, 2025 (expected)
• Master of Science, Fudan University, 2019
• Bachelor of Engineering, Beijing Jiaotong University, 2016

Publications

AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE

MOAZ: A Multi-Objective AutoML-Zero Framework.

Does unsupervised architecture representation learning help neural architecture search?

FUSAR-Ship: Building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition

Needles in a haystack: Tracking city-scale moving vehicles from continuously moving satellite

Detection and discrimination of ship targets in complex background from spaceborne ALOS-2 SAR images

Skills

• Programming: Python, C++, PyTorch, Lightning, Pymoo, Microsoft SEAL

Talks

AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE

March 24, 2024

Presentation at The 3rd Annual FHE.org Conference on Fully Homomorphic Encryption, Toronto, Canada

Teaching

CSE 840

Service and Leadership

• Reviewer: AutoML 2023/2024, IEEE Transactions on Evolutionary Computation