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Mingyuan Zhou

Mingyuan Zhou has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Chengyue Gong, Eli Shechtman, Kaiqiang Song.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 34 · 238 works · 4,571 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 207 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #6485

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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. Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion (2025 · 146 citations)
    Autoregressive video diffusion models build a video frame by frame. They are usually trained with Teacher Forcing or Diffusion Forcing, where the context frames are ground-truth or noised ground-truth. At inference, however, the model must condition on its own imperfect frames. This exposure bias causes errors to…
  2. AutoML-GPT: Automatic Machine Learning with GPT (2023 · 52 citations)
    Selecting a model architecture, optimizer and hyperparameters for a new task still takes considerable manual effort.
  3. ContextCheck: Sentence-Level Faithfulness Verification with Context-Aware Disambiguation (2026)
    LLM outputs often contain claims that the supplied source does not support. Sentence-level checkers usually judge each sentence on its own, so they fail when a sentence depends on earlier ones, for example through pronouns or entities mentioned before. The usual fix is to rewrite such sentences into standalone claims…

All works

11 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. A Bayesian Nonparametric Approach to Image Super-Resolution ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetGungor Polatkan et al.2014 · 79 citations
  2. AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
  3. Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ↗arXiv (Cornell University) · no summary yetAaron Schein et al.2016 · 45 citations
  4. KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetZhangchen Xu et al.2025 · 36 citations
  5. Poisson-Randomized Gamma Dynamical Systems ↗arXiv (Cornell University) · no summary yetAaron Schein et al.2019 · 11 citations
  6. Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization ↗arXiv:2402.14270 · no summary yetXuxi Chen et al.2024 · 8 citations
  7. One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation ↗arXiv (Cornell University) · no summary yetZhendong Wang et al.2024 · 5 citations
  8. Probabilistic Conformal Prediction Using Conditional Random Samples ↗arXiv (Cornell University) · no summary yetZhendong Wang et al.2022 · 4 citations

 Co-authors here

10 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 207 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

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