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Tianhao Wang

Tianhao Wang has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Jin Huang, Xiang Yue, Xinyao Niu.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 27 · 160 works · 2,968 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 93 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7050

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 · China2009–2026 · 21 paperscurrent🏥Zhongshan HospitalShanghai · China2009–2026 · 19 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2020–2026 · 4 paperscurrent🎓University of VirginiaCharlottesville · United States2020–2025 · 41 papersEmployment🎓Purdue University West LafayetteWest Lafayette · United States2016–2021 · 23 papers🎓Yale UniversityNew Haven · United States2018–2024 · 9 papers🎓Shanghai Medical College of Fudan UniversityShanghai · China2013–2022 · 5 papers🎓Harvard UniversityCambridge · United States2020–2021 · 5 papers🎓Beijing Institute of TechnologyBeijing · China2024–2025 · 4 papers🎓Nanjing University of Information Science and TechnologyNanjing · China2023 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 24 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Machine Unlearning of Pre-trained Large Language Models (2024 · 86 citations)
    The paper addresses how to make a pre-trained large language model behave as if certain training documents had never been included, for example in response to copyright or privacy removal requests.
  2. Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks (2026)
    ARC and ARC-AGI are often treated as tests of "fluid" reasoning, and frontier vision-language models (VLMs) score far below humans on them.

All works

5 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. A Principled Approach to Data Valuation for Federated Learning ↗Lecture notes in computer science · no summary yetTianhao Wang et al.2020 · 178 citations
  2. Differential Privacy for Text Analytics via Natural Text Sanitization ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetXiang Yue et al.2021 · 94 citations
  3. Machine Unlearning of Pre-trained Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Yao, Eli Chien, Minxin Du, et al.2024 · 86 citations
  4. 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
  5. Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhe Wang, Jin Huang, Xingjian Zhang, et al.2026

 Co-authors here

3 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 93 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

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