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Xingjun Ma

Xingjun Ma has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Yingchun Wang, Shujie Wang, Xin Wang.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 31 · 174 works · 7,122 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 67 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #13189

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

🎓Fudan UniversityShanghai · China2020–2026 · 78 papersEmployment since 2022 · Associate Professor, School of Computer Sciencecurrent🎓The University of MelbourneMelbourne · Australia2015–2026 · 29 papersEducation 2015–2019 · PhD, Computing and Information SystemsEmployment 2018–2020 · Research Fellow, School of Computing and Information Systemscurrent🎓Deakin UniversityBurwood · Australia2020–2025 · 31 papersEmployment 2020–2022 · Lecturer, School of Information Technology🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2023–2025 · 4 papers🎓Tsinghua UniversityBeijing · China2012–2017 · 1 paperEducation 2012–2015 · Master, Software Engineering🎓Jilin UniversityChangchun · China2006–2010Education 2006–2010 · Bachelor, Software Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksEngineering · 1 workSafety Research · 1 workSafety, Risk, Reliability and Quality · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models (2026 · 1 citation)
    Static safety benchmarks for LLMs age quickly. They struggle to reflect complex legal requirements and are hard to adapt to an organization's own policies. AgenticEval addresses this by treating safety evaluation as an ongoing, self-updating process rather than a single audit. In this multi-agent framework:
  2. Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints (2026)
    Search-augmented LLMs often give wrong answers while sounding fully sure of themselves. The authors address this with Deliberative Searcher, an agent that puts reasoning first and treats web retrieval as a supporting tool. While generating its chain of thought, the model can think, issue a search query, and read a…

All works

6 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. Symmetric Cross Entropy for Robust Learning With Noisy Labels ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYisen Wang et al.2019 · 1,012 citations
  2. Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ↗arXiv (Cornell University) · no summary yetXingjun Ma et al.2018 · 464 citations
  3. Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetBojia Zi et al.2021 · 100 citations
  4. Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models ↗Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · no summary yetJialuo Chen et al.2022 · 97 citations
  5. AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language ModelsFindings of the Association for Computational LinguisticsYixu Wang, Xin Wang, Yang Yao, et al.2026 · 1 citation
  6. Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyun Yin, Shujie Wang, Xuhong Wang, et al.2026

 Co-authors here

5 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 67 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

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