🧑‍🔬 Jianxun Lian

🏛️ Affiliations

🏢Microsoft Research AsiaBeijing · China2015–2026 · 81 papersEmployment since 2018 · Researchercurrent🏢MicrosoftRedmond · United States2015–2026 · 11 paperscurrent🏢Microsoft ResearchCambridge · United Kingdom2020–2026 · 2 paperscurrent🎓University of Science and Technology of ChinaHefei · China2014–2018 · 6 papersEducation 2014–2018 · Ph.D Candidate, Computer Science🎓Shenzhen UniversityShenzhen · China2024 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MIND: A Large-scale Dataset for News Recommendation (2020 · 562 citations)
   News recommendation has lagged behind product and movie recommendation because there has been no large, public, English benchmark. Earlier public sets are small, mostly non-English, or ship without the original article text. The authors fill this gap with MIND, which they built from Microsoft News behavior logs.
2. Large Language Models Understand and Can be Enhanced by Emotional Stimuli (2023 · 114 citations)
   This study asks whether large language models react to psychologically grounded emotional cues the way humans do, and whether such cues can improve their output.

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. MIND: A Large-scale Dataset for News RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, et al.2020 · 562 citations
2. Large Language Models Understand and Can be Enhanced by Emotional StimuliarXiv:2307.11760Cheng Li, Jindong Wang, Yixuan Zhang, et al.2023 · 114 citations
3. Knowing-but-Doing: Diagnosing and Defending Role-Play-Driven LLMs Jailbreaks via Moral Disengagement ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetHaiming Qin et al.2026 · 1 citation
4. Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetZihan Luo et al.2026
5. PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetWenlong Shi et al.2026
6. Reasoning-Aware AIGC Detection via Alignment and Reinforcement ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetZhao Wang et al.2026

🤝 Co-authors here

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

• Xing Xie ×2
• Cheng Li
• Chuhan Wu
• Fangzhao Wu
• Jianfeng Gao
• Jindong Wang
• Kaijie Zhu
• Ming Zhou
• Yixuan Zhang

Venues

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

• Findings of the Association for Computational Linguistics: ACL 2026 ×4
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2020

🔗 Cited by

Papers of our library cite their works 132 times (of the 141,840 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated 24 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jianxun-lian/