🧑‍🔬 Jinqiao Wang

🏛️ Affiliations

🏛️Chinese Academy of SciencesBeijing · China2006–2026 · 323 paperscurrent🔬Institute of AutomationBeijing · China2006–2026 · 309 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2016–2026 · 134 paperscurrent🔬Peng Cheng LaboratoryShenzhen · China2022–2026 · 27 paperscurrent🏥The First People's Hospital of WenlingWenling · China2013–2023 · 6 papers🎓Central China Normal UniversityWuhan · China2009–2010 · 5 papers🔬Institute for Infocomm ResearchSingapore · Singapore2006–2008 · 4 papers🎓Wenzhou Medical UniversityWenzhou · China2019–2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence (2025 · 21 citations)
   Large vision-language models (LVLMs) often hallucinate, describing objects that are not in the image. Most existing remedies retrain the model or adjust output logits after generation. This paper instead looks inside the multi-head attention module. The authors define Vision-aware Head Divergence (VHD), which…
2. C³D: Enhancing LLM Reasoning via Confidence-Guided Contrastive Decoding (2026)
   LLMs solving multi-step problems are easily misled by surrounding context. The model may latch onto irrelevant or locally coherent details, and one wrong token can propagate through the rest of the reasoning chain. The authors propose C$^3$D (Confidence-guided Cross-premise Contrastive Decoding), a training-free…

All works

5 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. AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhaopeng Gu et al.2024 · 307 citations
2. High-Performance Discriminative Tracking with Transformers ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetBin Yu et al.2021 · 149 citations
3. Learning Adaptive Receptive Fields for Deep Image Parsing Network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhen Lin Wei et al.2017 · 64 citations
4. Cracking the Code of Hallucination in LVLMs with Vision-aware Head DivergenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghan He, Kuan Zhu, Haiyun Guo, et al.2025 · 21 citations
5. C³D: Enhancing LLM Reasoning via Confidence-Guided Contrastive DecodingFindings of the Association for Computational LinguisticsYufeng Zhang, Xuepeng Wang, Lingxiang Wu, et al.2026

🤝 Co-authors here

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

• Junfeng Fang
• Tat-Seng Chua
• Yuheng Jia

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• IEEE/CVF International Conference on Computer Vision (ICCV)
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 26 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated 2 November 2026

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