His research interests include accelerating large-scale ML training with comprehensive approaches including compiler-based optimization, topology-aware scheduling, and hardware offloading (GPU / Network / ASIC).
Education
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Ph.D. in Computer Science, 2024-present
KAUST
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M.S. in Computer Science, 2023
KAUST
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B.S. in Computer Science, 2022
Southern University of Science and Technology (SUSTech)