Research

At GLOW.AI, we are interested in learning and optimization on data-centric AI, collaborative AI, automated AI, and AI for science problems, their applications to LLMs & MLLMs, among others. See below for the research themes we work on.

Data-Centric AI

Data selection, data valuation, knowledge distillation, data attribution, machine unlearning, data ownership, domain generalization

Agents in ML

Federated learning, collaborative ML, incentives, reinforcement learning

Automated AI

Active learning, Bayesian & zeroth-order optimization, neural architecture search, meta-learning

AI for Science

Experimental design, physics-informed ML, quantum ML, precision agriculture

Recent News

See the list of our publications here.

• Aug 2024 Congrats! to Rachael Hwee Ling Sim and Xinyi Xu for receiving the prestigious Dean's Graduate Research Excellence Award and also to Jingtan Wang, Zhiliang Chen, Zhenfeng He, Gregory Lau, Xiaoqiang Lin, Zhuanghua Liu, Rui Qiao, and Zhaoxuan Wu for receiving the Research Achievement Award. Read more here.
• Jul 2024 PINNACLE 🏔️ won the best paper award (out of 225 submissions) at the ICML 2024 Workshop on AI for Science! Read more here.
• Jul 2024 Our AI Visiting Professorship Proposal (~S$4M for 3 years) on Data-Centric Machine Learning at Scale with Pang Wei Koh is accepted! It is featured on pages 29-30 in Issue 1 (Aug 2024) of Ignite, a new biannual magazine from the Office of the Deputy President (Research and Technology) of NUS. Read more here.
• Jun 2024 Presented AutoAI and PINNACLE in Adaptive Experimentation Workshop @ Meta NYC. Read more here.
• May 2024 Presented our works on Data-Centric AI in the Age of LLMs (FreeShap, WASA, and INSTINCT) in the Data-Centric AI workshop at The Web Conference 2024. Read more here.
• Jul 2024 Bryan served as a Senior Area Chair of ICLR 2025, an Area Chair of AISTATS 2025, ICML 2024, NeurIPS 2024 & AAAI 2025, and a SPC of AAMAS 2025 & IJCAI 2024.

Blogs

Waterfall @ EMNLP 2024

Watermarking, data provenance, copyright, IP protection, personal data ownership

Towards AutoAI @ ICML 2024

Bayesian optimization

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