Research on Video Server Placement and Flux Plan Based on GA. - Long Zhao; Jingxuan Wei; Minghan Li 003 (CIS, 2017)

A cooperative co-evolutionary algorithm for large-scale multi-objective optimization problems. - Minghan Li 003; Jingxuan Wei (GECCO (Companion), 2018)

Objective Reduction Using Objective Sampling and Affinity Propagation for Many-Objective Optimization Problems. - Minghan Li 003; Jingxuan Wei; Andy Song; Yang Liu 116 (IEEE Access, 2019)

Generational Distance Indicator-Based Evolutionary Algorithm With an Improved Niching Method for Many-Objective Optimization Problems. - Yang Liu 116; Jingxuan Wei; Xin Li; Minghan Li 003 (IEEE Access, 2019)

Learning to Rank for Active Learning: A Listwise Approach. - Minghan Li 003; Xialei Liu; Joost van de Weijer 001; Bogdan Raducanu (ICPR, 2020)

KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. - Minghan Li 003; Éric Gaussier (SIGIR, 2021)

SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. - Thibaut Thonet; Yagmur Gizem Cinar; Éric Gaussier; Minghan Li 003; Jean-Michel Renders (CoRR, 2021)

Listwise Learning to Rank Based on Approximate Rank Indicators. - Thibaut Thonet; Yagmur Gizem Cinar; Éric Gaussier; Minghan Li 003; Jean-Michel Renders (AAAI, 2022)

Intra-document Block Pre-ranking for BERT-based Long Document Information Retrieval - Abstract. - Minghan Li 003; Éric Gaussier (CIRCLE, 2022)

BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval. - Minghan Li 003; Éric Gaussier (SIGIR, 2022)

Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling. - Minghan Li 003; Éric Gaussier (CoRR, 2022)

Adaptation de domaine pour la recherche dense par annotation automatique. - Minghan Li 003; Éric Gaussier (CORIA-TALN, 2023)

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. - Minghan Li 003; Diana Nicoleta Popa; Johan Chagnon; Yagmur Gizem Cinar; Éric Gaussier (ACM Trans. Inf. Syst., 2023)

Adapting Deep Neural Information Retrieval Models to Long Documents and New Domains. (Adapter des modèles de recherche d'information basés sur les réseaux neuronauxprofonds pour les documents longs et les nouveaux domaines). - Minghan Li 003 (2023)

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling. - Minghan Li 003; Éric Gaussier (LREC/COLING, 2024)

KeyB2: Selecting Key Blocks is Also Important for Long Document Ranking with Large Language Models. - Minghan Li 003; Éric Gaussier; Juntao Li; Guodong Zhou (CoRR, 2024)

Enhanced Retrieval of Long Documents: Leveraging Fine-Grained Block Representations with Large Language Models. - Minghan Li 003; Éric Gaussier; Guodong Zhou (CoRR, 2025)