Minghan Li - RankMe

28 papers A* 4B 1C 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion. CoRR Minghan Li, Ercong Nie, Siqi Zhao, Tongna Chen, Huiping Huang, Guodong Zhou
2026	J	`jnl`	Dual-layer prompt ensembles: Leveraging system- and user-level instructions for robust LLM-based query expansion and rank fusion. Inf. Fusion Minghan Li, Ercong Nie, Huiping Huang, Xinxuan Lv, Guodong Zhou
2026	J	`jnl`	GenState-AI: State-Aware Dataset for Text-to-Video Retrieval on AI-Generated Videos. CoRR Minghan Li, Tongna Chen, Tianrui Lv, Yishuai Zhang, Suchao An, Guodong Zhou
2026	A*	`conf`	RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA. AAAI Chao Zhang, Minghan Li, Tianrui Lv, Guodong Zhou
2025	J	`jnl`	A Survey of Long-Document Retrieval in the PLM and LLM Era. CoRR Minghan Li, Miyang Luo, Tianrui Lv, Yishuai Zhang, Siqi Zhao, Ercong Nie, Guodong Zhou
2025	J	`jnl`	Enhanced Retrieval of Long Documents: Leveraging Fine-Grained Block Representations with Large Language Models. CoRR Minghan Li, Éric Gaussier, Guodong Zhou
2025	J	`jnl`	Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey. CoRR Minghan Li, Xinxuan Lv, Junjie Zou, Tongna Chen, Chao Zhang, Suchao An, Ercong Nie, Guodong Zhou
2025	J	`jnl`	RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA. CoRR Chao Zhang, Minghan Li, Tianrui Lv, Guodong Zhou
2024	—	`conf`	Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling. LREC/COLING Minghan Li, Éric Gaussier
2024	J	`jnl`	Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling. CoRR Minghan Li, Éric Gaussier
2024	J	`jnl`	KeyB2: Selecting Key Blocks is Also Important for Long Document Ranking with Large Language Models. CoRR Minghan Li, Éric Gaussier, Juntao Li, Guodong Zhou
2023	—	`conf`	Adaptation de domaine pour la recherche dense par annotation automatique. CORIA-TALN Minghan Li, Éric Gaussier
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
2023	—	`conf`	The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. CORIA-TALN Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier
2023	J	`jnl`	The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. ACM Trans. Inf. Syst. Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier
2022	A*	`conf`	BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval. SIGIR Minghan Li, Éric Gaussier
2022	J	`jnl`	Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling. CoRR Minghan Li, Éric Gaussier
2022	—	`conf`	Intra-document Block Pre-ranking for BERT-based Long Document Information Retrieval - Abstract. CIRCLE Minghan Li, Éric Gaussier
2022	A*	`conf`	Listwise Learning to Rank Based on Approximate Rank Indicators. AAAI Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders
2021	A*	`conf`	KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. SIGIR Minghan Li, Éric Gaussier
2021	J	`jnl`	SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. CoRR Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders
2021	J	`jnl`	The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. CoRR Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier
2020	B	`conf`	Learning to Rank for Active Learning: A Listwise Approach. ICPR Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu
2020	J	`jnl`	Learning to Rank for Active Learning: A Listwise Approach. CoRR Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu
2019	J	`jnl`	Generational Distance Indicator-Based Evolutionary Algorithm With an Improved Niching Method for Many-Objective Optimization Problems. IEEE Access Yang Liu, Jingxuan Wei, Xin Li, Minghan Li
2019	J	`jnl`	Objective Reduction Using Objective Sampling and Affinity Propagation for Many-Objective Optimization Problems. IEEE Access Minghan Li, Jingxuan Wei, Andy Song, Yang Liu
2018	—	`conf`	A cooperative co-evolutionary algorithm for large-scale multi-objective optimization problems. GECCO (Companion) Minghan Li, Jingxuan Wei
2017	C	`conf`	Research on Video Server Placement and Flux Plan Based on GA. CIS Long Zhao, Jingxuan Wei, Minghan Li