Name | Research |
---|---|
Guoli Wu (PhD student to start from Spring 2025) | LLM inference optimization |
Chengxi Liao (PhD student since Fall 2024) | Long context LLM inference |
Tong Yuan (PhD student since Fall 2024) | Distributed LLM inference |
Ruijia Yang (PhD student since Fall 2024) | Efficient LLM inference |
Rui Zhang (PhD student since Fall 2024) | Accelerating kernel machine training |
Zeyuan Lin (Visiting MPhil student from Fall 2024) | Kernels for CNNs |
Hangyu Yang (Visiting master student from Fall 2024) | Efficient fine-tuning for LLMs |
Xinhao Huang (PhD student from Spring 2024) | Model Decomposition |
Youliang Huang (MPhil student from Fall 2023) | Efficient fine-tuning for LLMs |
Jihang Li (PhD student since Fall 2023) | Learning operator acceleration with GPUs |
Minping Chen (PhD student since Fall 2023) | Efficient fine-tuning for LLMs |
Yuebin Xu (PhD student since Fall 2023) | Hyper-parameter optimization (HPO) for LLMs |
Xuemei Peng (PhD student since Spring 2023) | Efficient LLM serving |
Yile Chen (Visiting PhD student since 2022) | Hyper-parameter optimization (HPO) |
Hanfeng Liu (PhD student since Fall 2022) | Parallel GBDT training |