Artificer AI Lab
To build is to know, to know is to learn, the constructs still turn.
Artificer AI Lab pursues AI that learns, adapts, and improves – building systems that are reliable, efficient, and capable in an open-ended world.
Our research focuses on continual learning, foundation model adaptation (including post-training and test-time learning), generative modeling, and neural architecture design covering memory mechanisms and mixture-of-experts, with emphasis on real-world deployment applications.
- Dong Gong (Faculty)
- Haodong Lu (Postdoc, UNSW; PhD, UNSW; Google PhD Fellowship’24), 2026 –
- Huiyi Wang (PhD, UNSW), Term 1 2023 –
- Ruilin Tong (PhD, UNSW), Term 3 2023 –
- Chongyang Zhao (PhD, UNSW), Term 1 2024 –
- Taylor (Zishan) Qin (PhD, UNSW), Term 2 2024 –
- Xin Xie (PhD, UNSW), Term 3 2024 –
- Daijiao Liu (PhD, UNSW), Term 3 2024 –
- Max Eastwood (PhD, UNSW), Term 2 2025 –
- Mingsong Li (PhD, UNSW), Term 3 2025 –
- Will Gong (PhD, UNSW), Term 1 2026 –
- Yuhang Liu (Postdoc, visiting PhD, with Javen Shi at AIML), 2018, 2020 –
Alumni (partial list)
- Haodong Lu (PhD, UNSW, Google PhD Fellowship 2024), T3 2022 – T2 2026 → Artificer AI Lab, UNSW
- Saurav Jha (PhD, UNSW), 2022 – 2025 → IVADO Fellow, MILA
- Zeyu Zhang (RA, UNSW), 2025-2026
- Qianying Dong (MPhil, UNSW), 2022 – 2025
- Jintao Rong (UNSW Practicum Research, visiting PhD), 2024 – 2025
- Cheng Zhang (UNSW Practicum Research, visiting PhD), 2023 – 2024
- Qingsen Yan (AIML, Postdoc, visiting PhD, with Javen Shi), 2018, 2020 – 2022
- Jie Yang (AIML, PhD, with Javen Shi and Lingqiao Liu), 2016 – 2019
- Wei Sun (AIML, visiting PhD, with Javen Shi), 2019 – 2020
- Hai-Ming Xu (AIML, PhD, with Lingqiao Liu), 2018 – 2022