| A cooperative co-evolutionary algorithm for large-scale multi-objective optimization problems M Li, J Wei Proceedings of the genetic and evolutionary computation conference companion …, 2018 | 59 | 2018 |
| Generational distance indicator-based evolutionary algorithm with an improved niching method for many-objective optimization problems Y Liu, J Wei, X Li, M Li IEEE Access 7, 63881-63891, 2019 | 32 | 2019 |
| Learning to Rank for Active Learning: A Listwise Approach M Li, X Liu, J van de Weijer, B Raducanu International Conference on Pattern Recognition (ICPR), 2020 | 25 | 2020 |
| KeyBLD: Selecting key blocks with local pre-ranking for long document information retrieval M Li, E Gaussier Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 24 | 2021 |
| The power of selecting key blocks with local pre-ranking for long document information retrieval M Li, DN Popa, J Chagnon, YG Cinar, E Gaussier ACM Transactions on Information Systems 41 (3), 1-35, 2023 | 13 | 2023 |
| BERT-based dense intra-ranking and contextualized late interaction via multi-task learning for long document retrieval M Li, E Gaussier Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 8 | 2022 |
| Objective reduction using objective sampling and affinity propagation for many-objective optimization problems M Li, J Wei, A Song, Y Liu Ieee Access 7, 68392-68403, 2019 | 8 | 2019 |
| Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling M Li, E Gaussier arXiv preprint arXiv:2212.06552, 2022 | 4 | 2022 |
| Listwise Learning to Rank Based on Approximate Rank Indicators T Thonet, YG Cinar, E Gaussier, M Li, JM Renders AAAI 2022, 2022 | 4 | 2022 |
| SmoothI: Smooth Rank Indicators for Differentiable IR Metrics T Thonet, YG Cinar, E Gaussier, M Li, JM Renders | 2 | 2021 |
| Research on video server placement and flux plan based on GA L Zhao, J Wei, M Li 2017 13th International Conference on Computational Intelligence and …, 2017 | 2 | 2017 |
| Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling M Li, E Gaussier COLING 2024, 2024 | 1 | 2024 |
| Adapting Deep Neural Information Retrieval Models to Long Documents and New Domains M Li https://theses.hal.science/tel-04344209, 1-202, 2023 | | 2023 |
| Adaptation de domaine pour la recherche dense par annotation automatique M Li, E Gaussier 18e Conférence en Recherche d'Information et Applications--16e Rencontres …, 2023 | | 2023 |
| Intra-document Block Pre-ranking for BERT-based Long Document Information Retrieval-Abstract M Li, E Gaussier CIRCLE 2022, 2022 | | 2022 |
