Oct. 2025: Paper titled 'S-Leon: An Efficient Split Learning Framework over Heterogeneous LEO Satellite Networks' accepted at IEEE TPDS 2025.
Oct. 2025: Awarded the National Scholarship for the 2024-2025 academic year!
Sep. 2025: Paper titled 'Enabling Near-realtime Remote Sensing via Satellite–Ground Collaboration of Large Vision–Language Models' conditionally accepted at ACM/IEEE SenSys 2026.
Aug. 2025: Paper titled 'LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks' accepted at IEEE TMC 2025.
Jul. 2025: Paper titled 'SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework' accepted at Engineering 2025.
Jul. 2025: Paper titled 'A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation' accepted at ACM MM 2025.
Jun. 2025: Paper titled 'ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks' received the Best Paper Award at WASA 2025 (3/282).
Dec. 2024: Paper titled 'LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data' accepted at IEEE ICASSP 2025.
Jul. 2024: Released the source code of the SplitLoRA project!
Jun. 2024: Paper titled 'Gradient Free Personalized Federated Learning' accepted at ACM ICPP 2024.
Research Experience
Currently conducting research at the INC Lab, School of Computer Science, Fudan University.
Background
PhD student in the School of Computer Science at Fudan University, with research interests including large vision-language models, split learning, federated learning, distributed machine learning, and satellite AI.