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Home/Authors/Pengpeng Zeng

Pengpeng Zeng

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

3

papers

29

total citations

papers (3)

ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves

A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval