Minghan Li

Orcid: 0000-0002-1041-8887

Affiliations:
  • Soochow University, Suzhou, China
  • Grenoble Alpes University, LIG, Grenoble, France (PhD 2023)
  • Xidian University, School of Computer Science and TechnologyXi'an, China (former)


According to our database1, Minghan Li authored at least 25 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA.
CoRR, April, 2026

GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval.
CoRR, April, 2026

GenState-AI: State-Aware Dataset for Text-to-Video Retrieval on AI-Generated Videos.
CoRR, March, 2026

Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion.
CoRR, February, 2026

Dual-layer prompt ensembles: Leveraging system- and user-level instructions for robust LLM-based query expansion and rank fusion.
Inf. Fusion, 2026

RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey.
CoRR, September, 2025

A Survey of Long-Document Retrieval in the PLM and LLM Era.
CoRR, September, 2025

Enhanced Retrieval of Long Documents: Leveraging Fine-Grained Block Representations with Large Language Models.
CoRR, January, 2025

2024
KeyB2: Selecting Key Blocks is Also Important for Long Document Ranking with Large Language Models.
CoRR, 2024

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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).
PhD thesis, 2023

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval.
Proceedings of the Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications, 2023

Adaptation de domaine pour la recherche dense par annotation automatique.
Proceedings of the Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications, 2023

2022
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling.
CoRR, 2022

BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Intra-document Block Pre-ranking for BERT-based Long Document Information Retrieval - Abstract.
Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), 2022

Listwise Learning to Rank Based on Approximate Rank Indicators.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics.
CoRR, 2021

KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Learning to Rank for Active Learning: A Listwise Approach.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Generational Distance Indicator-Based Evolutionary Algorithm With an Improved Niching Method for Many-Objective Optimization Problems.
IEEE Access, 2019

Objective Reduction Using Objective Sampling and Affinity Propagation for Many-Objective Optimization Problems.
IEEE Access, 2019

2018
A cooperative co-evolutionary algorithm for large-scale multi-objective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Research on Video Server Placement and Flux Plan Based on GA.
Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017


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