🧑‍🔬 Ying Jin

🏛️ Affiliations

🎓University of PennsylvaniaPhiladelphia · United States2025–2026 · 13 papersEmployment since 2025 · Assistant Professor, Department of Statistics and Data Sciencecurrent🏥Nanjing General Hospital of Nanjing Military CommandNanjing · China2026 · 1 papercurrent🎓Nanjing UniversityNanjing · China2026 · 1 papercurrent🎓Stanford UniversityStanford · United States2019–2024 · 13 papersEmployment 2019–2024 · Department of Statistics🎓Harvard UniversityCambridge · United States2024–2025 · 6 papers🎓Tsinghua UniversityBeijing · China2019–2020 · 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. Contemporary Symbolic Regression Methods and their Relative Performance (2021 · 156 citations)
   Progress in symbolic regression (SR) has been hard to measure because studies rely on small, easy, or outdated test problems.
2. Automated Hypothesis Validation with Agentic Sequential Falsifications (2025 · 19 citations)
   Large language models can now propose scientific hypotheses faster than people can check them. Many of these claims are also abstract statements that cannot be tested directly. The authors present POPPER, an agent-based system that judges free-form natural-language hypotheses by trying to refute them, following Karl…

All works

8 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. Contemporary Symbolic Regression Methods and their Relative PerformancearXiv:2107.14351William La Cava, Patryk Orzechowski, Bogdan Burlacu, et al.2021 · 156 citations
2. Uncertainty Quantification over Graph with Conformalized Graph Neural Networks ↗neural information processing systems · no summary yetKexin Huang et al.2023 · 39 citations
3. Automated Hypothesis Validation with Agentic Sequential FalsificationsarXiv:2502.09858Kexin Huang, Ying Jin, Ryan Li, et al.2025 · 19 citations
4. The Illusion of Readiness in Health AI ↗arXiv (Cornell University) · no summary yetGu, Yu et al.2025 · 7 citations
5. X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2025 · 5 citations
6. Evaluating the robustness and readiness of large frontier models in health AI applications ↗Nature Medicine · no summary yet裕二 池谷 et al.2026 · 4 citations
7. TxConformal: Controlling False Discoveries in AI-Driven Therapeutic Discovery ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetYing Jin et al.2026
8. Scaling medical imaging report generation with multimodal reinforcement learning ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2026

🤝 Co-authors here

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

• Emmanuel J. Candès
• Jure Leskovec
• Kexin Huang
• Marco Virgolin
• Michael Y. Li
• Ryan Li

Venues

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

• Nature Medicine
• bioRxiv (Cold Spring Harbor Laboratory)
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 52 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated 3 November 2026

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