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Wenxiao Wang

Wenxiao Wang has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Aounon Kumar, Chaochen Gu, Chen Shen.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 31 · 150 works · 3,998 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 171 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #4834

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

🎓Zhejiang UniversityHangzhou · China2019–2026 · 23 paperscurrent🎓Macau University of Science and TechnologyMacao · China2018–2026 · 18 papersEmployment · Assistant Professorcurrent🎓South China Normal UniversityGuangzhou · China2024–2026 · 7 paperscurrent🎓Xinjiang UniversityÜrümqi · China2025–2026 · 6 paperscurrent🎓Qingdao University of TechnologyQingdao · China2026 · 1 papercurrent🔬State Key Laboratory of Cognitive Neuroscience and LearningBeijing2017–2024 · 14 papers🎓Beijing Normal UniversityBeijing · China2017–2024 · 13 papers🎓University of JinanJinan · China2019–2024 · 9 papers🎓Beijing Institute of TechnologyBeijing · China2023–2025 · 8 papers🎓Kwangwoon UniversitySeoul · South Korea2022–2024 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 30 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 1 workEfficient models & compression · 1 workInformation retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Can AI-Generated Text be Reliably Detected? (2023 · 306 citations)
    The paper tests whether current detectors of machine-written text still work when someone deliberately tries to fool them.
  2. From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks (2025 · 12 citations)
    Large vision-language models (LVLMs) turn each image into hundreds of tokens before passing it to an LLM. How those visual tokens actually shape the generated answer has been unclear. The authors study this "information flow", meaning how strongly system, image and user-prompt tokens influence answer tokens, layer by…
  3. HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference (2026)
    Storing keys and values for every token during long-context LLM generation consumes memory that grows linearly with input length.

All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuheng Zhang et al.2020 · 463 citations
  2. Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 306 citations
  3. CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuqi Lin et al.2023 · 243 citations
  4. From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 12 citations
  5. DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing ↗Proceedings on Privacy Enhancing Technologies · no summary yetWenxiao Wang et al.2021 · 8 citations
  6. HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Shi, Qibo Qiu, Xuefeng, et al.2026

 Co-authors here

12 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 171 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

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