Bio

I am a research scientist at the Machine Intellection department, Institute for Infocomm Research (I2R), A*Star. I received my Ph.D degree from School of Computing and Information Systems, Singapore Management University, under the supervision of Prof. Steven Hoi. My research interests include continual learning, time series forecasting, meta learning, domain adaptation.

Useful links: Google Scholar, Github, Linkedin

Professional service: I regularly serve as a reviewer for prestigious conferences and journals in AI and ML.

• Journal: TPAMI,  IJCV, CSUR, Neural Networks, TNNLS, Entropy.

• Conference: NeurIPS, ICML, CVPR, ICCV, ECCV, AISTATS.

Selected Publications

• Quang Pham, Chenghao Liu, Doyen Sahoo, Steven Hoi. Learning Fast and Slow for Online Time Series Forecasting.  ICLR-2023. [openreview]

• Quang Pham, Chenghao Liu, Steven Hoi. Continual Normalization: Rethinking Batch Normalization for Online Continual Learning.  ICLR-2022. [openreview]

• Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag. TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. MIA (IF=13.828) . [arXiv].

• Quang Pham, Chenghao Liu, Steven Hoi. DualNet: Continual Learning, Fast and Slow. NeurIPS-2021. [openreview]

• • Quang Pham, Chenghao Liu, Doyen Sahoo, Steven Hoi. Contextual Transformation Networks for Online Continual Learning. ICLR-2021. [openreview]

  • Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi. Online Deep Learning: Learning Deep Neural Networks on the Fly.  IJCAI-2018. [arXiv]