Doctoral Candidates
| Full Name | Research Topic | Published/Accepted Papers |
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| Hangyu Yang (PhD student from Spring 2026) | Offloading for LLMs | |
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| Guang Huang (PhD student from Fall 2025) | KV cache optimization | |
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| Guoli Wu (PhD student from Spring 2025) | LLM inference optimization | |
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| Chengxi Liao (PhD student since Fall 2024) | Long context LLM inference | ICLR | |
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| Tong Yuan (PhD student since Fall 2024) | Speculative decoding system | |
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| Ruijia Yang (PhD student since Fall 2024) | Efficient LLM training | DAC |
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| Rui Zhang (PhD student since Fall 2024) | MoE inference with CPUs and GPUs | IPDPS |
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| Xinhao Huang (PhD student from Spring 2024) | Model decomposition | ICML, AAAI, EMNLP |
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| Jihang Li (PhD student since Fall 2023) | Learning operator acceleration with GPUs | ICDE, CIKM, EMNLP |
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| Minping Chen (PhD student since Fall 2023) | Efficient fine-tuning for LLMs | ACLx2, AAAI, CIKM, EMNLPx2 |
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| Yuebin Xu (PhD student since Fall 2023) | Hyper-parameter optimization (HPO) for LLMs | ICLR, EMNLP, CIKM |
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| Xuemei Peng (PhD student since Spring 2023) | Efficient LLM serving | CIKM, ICPP, IPDPS |
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| Yile Chen (Visiting PhD student since 2022) | Hyper-parameter optimization (HPO) | ICLR, ICDE, AAAI, TKDDx2 |
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Master's and Undergraduate Students
| Name | Research |
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| Junshan Tan (Year 3 Undergraduate student at Fall 2025) | AI workload profiling |
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| Rongji Wang (Year 3 Undergraduate student at Fall 2025) | MoE inference optimization |
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| Zhiyi Chen (Year 3 Undergraduate student at Fall 2025) | HPO for LLMs |
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| Gengxin Gao (RBM MPhil student from Fall 2025) | RNA sequence analysis |
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Alumni
| Name | Academic Period | Employment | Research |
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| Hanfeng Liu | PhD at HKUST-GZ, 2022-26 | ML Engineer at Wechat, Tencent | Parallel GBDT training |
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| Haichao Fang | Master at HKUST-GZ, 2024-26 | Startup at Guangzhou | Emotion enhancement for LLMs |
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| Zeyuan Lin | Master at SCUT, 2023-26 | ML Engineer at GZ Futures Exchange | Kernels for CNNs |
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| Youliang Huang | Master at HKUST-GZ, 2023-25 | PhD at Boston University | Efficient fine-tuning for LLMs |
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| Jiyuan Shi | Master at HKUST-GZ, 2023-25 | ML Engineer at WeChat, Tencent | LLM compression |
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| Tong Yuan | Master at HKUST-GZ, 2022-24 | PhD at HKUST-GZ | Structure learning efficiency optimization |
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| Yawen Chen | PhD at SCUT, 2020-24 | Lecturer at Henan University | Kernel optimization and their applications |
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| Jiantong Jiang | PhD at UWA, 2021-24 | Postdoc at Melbourne University | Graphical model efficiency optimization |
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| Peiyu Yang | PhD at UWA, 2021-24 | Postdoc at Melbourne University | Explaining deep neural networks |
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