| Full Name | Research Topic | Published/Accepted Papers | |
|---|---|---|---|
| Jinliang Cheng (PhD student to start from Fall'26) | LLM inference optimization | ||
| Lai Hu (PhD student to start from Fall 2026) | Efficient LLM training | ||
| Yizhen Yu (PhD student to start from Fall 2026) | GPU program profiling | ||
| Hangyu Yang (PhD student since Spring 2026) | Offloading for LLMs | ||
| Guang Huang (PhD student since Fall 2025) | KV cache optimization | ||
| Guoli Wu (PhD student since Spring 2025) | LLM inference optimization | ||
| Chengxi Liao (PhD student since Fall 2024) | Long context LLM inference | ICLR | |
| Tong Yuan (PhD student since Fall 2024) | Speculative decoding system | ||
| Ruijia Yang (PhD student since Fall 2024) | Efficient LLM training | DAC | |
| Rui Zhang (PhD student since Fall 2024) | MoE inference with CPUs and GPUs | IPDPS | |
| Xinhao Huang (PhD student from Spring 2024) | Model decomposition | ICML, AAAI, EMNLP | |
| Jihang Li (PhD student since Fall 2023) | Learning operator acceleration with GPUs | ICDE, CIKM, EMNLP | |
| Minping Chen (PhD student since Fall 2023) | Efficient fine-tuning for LLMs | ACLx2, AAAI, CIKM, EMNLPx2 | |
| Yuebin Xu (PhD student since Fall 2023) | Hyper-parameter optimization (HPO) for LLMs | ICLR, EMNLP, CIKM | |
| Xuemei Peng (PhD student since Spring 2023) | Efficient LLM serving | CIKM, ICPP, IPDPS |
| Name | Research |
|---|---|
| Junshan Tan (Year 3 Undergraduate student at Fall 2025) | AI workload profiling |
| Rongji Wang (Year 3 Undergraduate student at Fall 2025) | MoE inference optimization |
| Zhiyi Chen (Year 3 Undergraduate student at Fall 2025) | HPO for LLMs |
| Gengxin Gao (RBM MPhil student from Fall 2025) | RNA sequence analysis |
| Name | Academic Period | Employment | Research |
|---|---|---|---|
| Yile Chen | PhD at SCUT, 2021-26 | Postdoc at National Uni. Singapore | Hyper-parameter optimization (HPO) |
| Hanfeng Liu | PhD at HKUST-GZ, 2022-26 | ML Engineer at Wechat, Tencent | Parallel GBDT training |
| Haichao Fang | Master at HKUST-GZ, 2024-26 | Startup at Guangzhou | Emotion enhancement for LLMs |
| Zeyuan Lin | Master at SCUT, 2023-26 | ML Engineer at GZ Futures Exchange | Kernels for CNNs |
| Youliang Huang | Master at HKUST-GZ, 2023-25 | PhD at Boston University | Efficient fine-tuning for LLMs |
| Jiyuan Shi | Master at HKUST-GZ, 2023-25 | ML Engineer at WeChat, Tencent | LLM compression |
| Tong Yuan | Master at HKUST-GZ, 2022-24 | PhD at HKUST-GZ | Structure learning efficiency optimization |
| Yawen Chen | PhD at SCUT, 2020-24 | Lecturer at Henan University | Kernel optimization and their applications |
| Jiantong Jiang | PhD at UWA, 2021-24 | Postdoc at Melbourne University | Graphical model efficiency optimization |
| Peiyu Yang | PhD at UWA, 2021-24 | Postdoc at Melbourne University | Explaining deep neural networks |