News

  • [May 2024] Our paper “Intersectional Unfairness Discovery” is accepted at ICML 2024.

  • [Jan 2024] Our paper “Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time” is accepted at ICLR 2024 (Oral, 1.2% of the submission).

  • [Dec 2023] Our paper “Generalizing Across Temporal Domains with Koopman Operators” is accepted at AAAI 2024.

  • [Sep 2023] I am invited to be an AC at AISTATS 2024.

  • [Sep 2023] Our paper “On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm” is accepted at NeurIPS 2023.

  • [Aug 2023] I am invited to be an Action Editor in TMLR (Transactions on Machine Learning Research)!

  • [Jul 2023] I am selected as an Expert Reviewer in TMLR (Transactions on Machine Learning Research)!

  • [May 2023] Our paper “Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis” is accepted at MICCAI (Early acceptance, 14% of submissions).

  • [Mar 2023] Our paper “Towards More General Loss and Setting in Unsupervised Domain Adaptation” is accepted at IEEE Transactions on Knowledge and Data Engineering (TKDE).

  • [Jan 2023] Our paper “Gap Minimization for Knowledge Sharing and Transfer. ” is accepted at Journal of Machine Learning Research (JMLR).

  • [Oct 2022] Our paper “On Learning Fairness and Accuracy on Multiple Subgroups” is accepted at NeurIPS 2022 (Spotlight presentation).

  • [Sep 2022] Our paper “Lifelong Online Learning from Accumulated Knowledge” is accepted at ACM Transactions on Knowledge Discovery from Data (TKDD). See our showcase for details!

  • [May 2022] Our paper “Fair Representation Learning through Implicit Path Alignment” is accepted at ICML 2022. See our blog for details!

  • [Feb 2022] I passed the Ph.D thesis defense.