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Peng Fu

Peng Fu has 2 papers in our library, in 2020–2025, most of them on Sentiment & emotion, Vision & language, Efficient models & compression; often with Weiping Wang, Zheng Lin, Haifeng Wang.

2 papers in our library · 2020–2025

OpenAlex · ORCID · h-index 10 · 39 works · 501 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 81 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5799

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2016–2025 · 32 paperscurrent🔬Institute of Information EngineeringBeijing · China2016–2025 · 32 papersEmploymentcurrent🎓University of Chinese Academy of SciencesBeijing · China2016–2025 · 7 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksPsychology · 1 workSocial Psychology · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Sentiment & emotion · 1 workVision & language · 1 workEfficient models & compression · 1 work

 Works by year

2020s

20251 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection (2020 · 182 citations)
    The paper tackles sarcasm detection in social media posts that combine text and an image. Earlier multi-modal approaches either concatenated features or fused modalities with handcrafted schemes, and they did not explicitly model incongruity. Incongruity, a clash between what is said and what is actually the case, is…
  2. BeamLoRA: Beam-Constraint Low-Rank Adaptation (2025 · 6 citations)
    Low-Rank Adaptation (LoRA) is an efficient way to fine-tune large language models, but its accuracy still has room to improve.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm DetectionFindings of the Association for Computational LinguisticsHongliang Pan, Zheng Lin, Peng Fu, et al.2020 · 182 citations
  2. Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetJiangnan Li et al.2021 · 112 citations
  3. Sarcasm Detection with Commonsense Knowledge ↗IEEE/ACM Transactions on Audio Speech and Language Processing · no summary yetJiangnan Li et al.2021 · 66 citations
  4. BeamLoRA: Beam-Constraint Low-Rank AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Naibin Gu, Zhenyu Zhang, Xiyu Liu, et al.2025 · 6 citations

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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