Dong Gong

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 spans continual learning, foundation model adaptation (post-training, test-time learning), generative modeling, and neural architecture design (memory mechanisms, mixture-of-experts), grounded in real-world deployment.

To build is to know, to know is to learn, the constructs still turn.

• Dong Gong (Faculty)

• Haodong Lu (PhD, UNSW; Google PhD Fellowship), Term3 2022 -
  

• Huiyi Wang (PhD; UNSW), Term1 2023 -
  

• Ruilin Tong (PhD; UNSW), Term3 2023 -
  

• Chongyang Zhao (PhD; UNSW), Term1 2024 -
  

• Taylor (Zishan) Qin (PhD; UNSW), Term2 2024 -
  

• Xin Xie (PhD; UNSW), Term3 2024 -
  

• Daijiao Liu (PhD; UNSW), Term3 2024 -
  

• Max Eastwood (PhD; UNSW), Term2 2025 -
  

• Mingsong Li (PhD; UNSW), Term3 2025 -
  

• Zeyu Zhang (RA; UNSW), 2025 -
  

• Zhenhong Sun (PhD ANU; RA; UNSW), 2024/2022 -
  

• Yuhang Liu (Postdoc, visiting PhD, with Javen Shi at AIML), 2018, 2020 -

Alumnus (a partial list, recent members)

• Saurav Jha (PhD, UNSW -> IVADO Fellow, MILA), 2022 - 2025

• 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

(New website coming soon.)