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Mingxin Li

16 papers hereh-index 61.3k citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author13

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.CV3
  • cs.IR3
  • cs.LG1
same name
  • Mingxin Li — 1 paper, h 0
  • Mingxin Li — 1 paper, h 3
  • Mingxin Li — 1 paper, h 1
  • Mingxin Li — 1 paper, h 2
  • Mingxin Li — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
agentic coding 1benchmark 1code retrieval 1code search 1software engineering 1

From the 1 of 16 linked papers with an AI index.

activity
20242026
most citedQwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking

2 citations · 2 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

UEmbed: Unified Sparse and Dense Multimodal Embeddings

Tingyu Song, Mingxin Li, Yanzhao Zhang +5

Sparse retrieval underpins modern search systems, from web search to retrieval-augmented generation. Existing work has introduced Learned Sparse Retrieval (LSR) to push beyond exac…

cs.CV2026

Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing

Tingyu Song, Yanzhao Zhang, Mingxin Li +6

Composed Image Retrieval (CIR) is a pivotal and complex task in multimodal understanding. Current CIR benchmarks typically feature limited query categories and fail to capture the…

cs.CV2025

Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum

Zhuoning Guo, Mingxin Li, Yanzhao Zhang +3

The prevailing video retrieval paradigm is structurally misaligned, as narrow benchmarks incentivize correspondingly limited data and single-task training. Therefore, universal cap…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.