| Proxedit: Improving tuning-free real image editing with proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 82 | 2024 |
| On learning fairness and accuracy on multiple subgroups C Shui, G Xu, Q Chen, J Li, CX Ling, T Arbel, B Wang, C Gagné Advances in Neural Information Processing Systems 35, 34121-34135, 2022 | 77 | 2022 |
| Generalization bounds for meta-learning: An information-theoretic analysis Q Chen, C Shui, M Marchand Advances in Neural Information Processing Systems 34, 25878-25890, 2021 | 77 | 2021 |
| A novel domain adaptation theory with Jensen–Shannon divergence C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang Knowledge-Based Systems 257, 109808, 2022 | 43 | 2022 |
| Fair representation learning through implicit path alignment C Shui, Q Chen, J Li, B Wang, C Gagné International Conference on Machine Learning, 20156-20175, 2022 | 38 | 2022 |
| Beyond -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang arXiv preprint arXiv:2007.15567, 2020 | 36 | 2020 |
| On the stability-plasticity dilemma in continual meta-learning: Theory and algorithm Q Chen, C Shui, L Han, M Marchand Advances in Neural Information Processing Systems 36, 27414-27468, 2023 | 31 | 2023 |
| Improving negative-prompt inversion via proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, Y Chen, D Liu, ... arXiv. org, 2023 | 25 | 2023 |
| Algorithm-dependent bounds for representation learning of multi-source domain adaptation Q Chen, M Marchand International Conference on Artificial Intelligence and Statistics, 10368-10394, 2023 | 19 | 2023 |
| Intersectional unfairness discovery G Xu, Q Chen, C Ling, B Wang, C Shui ICML 2024, 2024 | 13 | 2024 |
| Towards understanding evolving patterns in sequential data Q Zeng, LK Huang, Q Chen, C Ling, B Wang Advances in Neural Information Processing Systems 37, 132747-132773, 2024 | 5 | 2024 |
| Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis Q Chen, J Zhu, F Shkurti arxiv, 2025 | 4 | 2025 |
| Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis Q Chen, J Zhu, F Shkurti The Thirteenth International Conference on Learning Representations, 2025 | 4 | 2025 |
| Informing Acquisition Functions via Foundation Models for Molecular Discovery Q Chen, F Ramos, A Aspuru-Guzik, F Shkurti arXiv preprint arXiv:2512.13935, 2025 | | 2025 |
| Theoretical framework for prior knowledge transfer in deep learning Q Chen | | 2024 |
| On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm C Qi, C Shui, L Han, M Marchand Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
| ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance (Supplementary Materials) L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... | | |
Changjian ShuiUniversity of OttawaVerified email at uottawa.ca
Boyu WangDepartment of Computer Science, University of Western OntarioVerified email at csd.uwo.ca
Ligong HanRed Hat AI, MIT-IBM, Rutgers UniversityVerified email at mit.edu
Christian GagnéProfessor at Université Laval - IID - LVSN - CeRVIM - CRDM - CIFAR - MilaVerified email at gel.ulaval.ca
Mario Marchandprofesseur d'informatique (retraité), Université LavalVerified email at ift.ulaval.ca
Gezheng XuUniversity of Western OntarioVerified email at uwo.ca
Florian ShkurtiAssistant Professor, Computer Science, University of TorontoVerified email at cs.toronto.edu
Fabio RamosUniversity of Sydney and NVIDIAVerified email at sydney.edu.au
Alan Aspuru-GuzikProfessor of Chemistry and Computer Science, University of Toronto (starting July 1, 2018)Verified email at utoronto.ca
