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Minghan Li
Minghan Li
Soochow University
Verified email at univ-grenoble-alpes.fr
Title
Cited by
Cited by
Year
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
502018
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
302019
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
242021
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
212020
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 (TOIS), 2023
132023
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
82019
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
72022
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling
M Li, E Gaussier
arXiv preprint arXiv:2212.06552, 2022
42022
Listwise Learning to Rank Based on Approximate Rank Indicators
T Thonet, YG Cinar, E Gaussier, M Li, JM Renders
AAAI 2022, 2022
22022
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics
T Thonet, YG Cinar, E Gaussier, M Li, JM Renders
22021
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
22017
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
M Li, E Gaussier
Coling 2024, 2024
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
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