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Cihang Xie

Cihang Xie has 2 papers in our library, in 2025, most of them on Vision & language, Language models & pretraining, Reasoning; often with Haoqin Tu, Hardy Chen, Hui Liu.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 27 · 124 works · 6,387 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 121 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #7922

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

🎓University of California, Santa CruzSanta Cruz · United States2020–2026 · 71 paperscurrent🎓Johns Hopkins UniversityBaltimore · United States2016–2024 · 17 papersEducation 2016–2020 · Ph.D., Computer Science🎓Huazhong University of Science and TechnologyWuhan · China2010–2014 · 1 paperEducation 2010–2014 · Bachelor, Telecommunications Engineering
🏛️University of California Santa Cruz Jack Baskin School of EngineeringSanta Cruz · United States2021Employment since 2021 · Assistant Professor, Computer Science and Engineering
🎓University of California, Los AngelesLos Angeles · United States2014–2015Education 2014–2015 · Master, Electrical Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 2 worksLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models (2025 · 37 citations)
    The authors examine whether the common recipe of supervised fine-tuning followed by reinforcement learning, popularised by DeepSeek-R1, also works for Large Vision-Language Models (LVLMs).
  2. ViLBench: A Suite for Vision-Language Process Reward Modeling (2025 · 9 citations)
    Process reward models (PRMs) score every reasoning step rather than only the final answer, which helps pick good solution paths.

All works

9 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. Improving Transferability of Adversarial Examples With Input Diversity ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCihang Xie et al.2019 · 1,255 citations
  2. Feature Denoising for Improving Adversarial Robustness ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCihang Xie et al.2019 · 915 citations
  3. Adversarial Examples Improve Image Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCihang Xie et al.2020 · 506 citations
  4. Smooth Adversarial Training ↗arXiv (Cornell University) · no summary yetCihang Xie et al.2020 · 92 citations
  5. SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language ModelsarXiv:2504.11468Hardy Chen, Haoqin Tu, Fali Wang, et al.2025 · 37 citations
  6. VHELM: A Holistic Evaluation of Vision Language Models ↗neural information processing systems · no summary yetTong Lee et al.2024 · 34 citations
  7. ViLBench: A Suite for Vision-Language Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Haoqin Tu, Weitao Feng, Hardy Chen, et al.2025 · 9 citations
  8. AHELM: A Holistic Evaluation of Audio-Language Models ↗arXiv (Cornell University) · no summary yetTong Lee et al.2025 · 7 citations
  9. Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails ↗arXiv (Cornell University) · no summary yetSiwei Han et al.2025 · 2 citations

 Co-authors here

6 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 121 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

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