Shilei Cao | 曹诗磊
Hi, I'm Shilei Cao, a third-year master's student in the IGCS Lab at Sun Yat-sen University, advised by Prof. Zheng. During my undergraduate studies, I was very fortunate to be advised by Prof. Peng.
My research interests focus on enhancing the robustness and adaptability of machine learning models under complex environments. Specifically, my work spans Domain Adaptation (including Test-Time Adaptation, Federated Learning, and Domain Generalization), as well as Parameter-Efficient Fine-Tuning (PEFT) for large models, with cross-disciplinary applications in Remote Sensing, Weather Foundation Models, and LLM.
I will be joining the HPGC Research Group at Tsinghua University as a Ph.D. student in 2027, under the supervision of Prof. Fu.
Education
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Tsinghua University
Ph.D. in Computer Science and Technology
2027.09 – 2031.06 Expected -
Sun Yat-sen University
M.Eng. in Computer Science and Technology
2024.09 – Present -
Sun Yat-sen University
B.Eng. in Artificial Intelligence
2020.09 – 2024.06
Awards & Honors
Publications
(* indicates equal contribution, # represents corresponding author)First / Co-First Author
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CVPR
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ICLR
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ESWA
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ICME
Navigating the Unknown: Continual Test-Time Adaptation for Unknown-Aware Object DetectionCCF-B -
ACL Findings
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NeurIPS
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JAG
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ICME
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UIST
Co-Author
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TNNLS
FedOSDG: Federated Open-Set Domain Generalization with Adaptive Adjustment Boundary and WeightsCCF-B JCR Q1 IF=9.7 中科院1区Top -
ICML
UniFLoW: Universal Multi-Modal Federated LoRA Fine-Tuning Framework with Analytical AggregationCCF-A -
TGRS
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ICLR
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MM
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AAAI