List of Publications

Selected publications are underlined.

• Thesis
  • Qi Chen. [“Theoretical framework for prior knowledge transfer in deep learning”, 2024.][slides]
• Meta Learning, Continual Learning
  • Qi Chen, Changjian Shui, Ligong Han, and Mario Marchand. On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm. NeurIPS 2023.[Open Reivew] [Paper] [Code]
  • Qi Chen, Changjian Shui, Mario Marchand. Generalization Bounds for Meta-Learning: An Information-Theoretic Analysis. NeurIPS 2021. (Spotlight, 3% of submissions) [Open Review][Paper] [Code]
• Domain Adaptation
  • Qi Chen, and Mario Marchand. Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation. AISTATS 2023.[Paper] [Code]
  • Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, and Boyu Wang. A novel domain adaptation theory with Jensen–Shannon divergence. Knowledge-Based Systems, 2022.[Paper]
  • Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, and Boyu Wang. Beyond H-divergence: Domain Adaptation Theory with Jensen-Shannon Divergence. 2020. [paper]
• Algorithmic Fairness
  • Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui.Intersectional Unfairness Discovery. ICML 2024.
  • Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, and Christian Gagné. On learning fairness and accuracy on multiple subgroups. NeurIPS 2022.[Paper]
  • Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, and Christian Gagné. Fair Representation Learning through Implicit Path Alignment. ICML 2022. [Paper]
• Robustness
  • Qiuhao Zeng, Longkai Huang, Qi Chen, Charles Ling, and Wang Boyu. Towards understanding evolving patterns in sequential data. NeurIPS 2024.
• Generative Models
  • Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, et al. Proxedit: Improving tuning-free real image editing with proximal guidance. WACV 2024.