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Peiying Yu

Peiying Yu has 2 papers in our library, in 2025–2026, most of them on Reasoning; often with Daiting Shi, Guoxin Chen, Long Xia.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 168 · 2,368 works · 138,846 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,839 times in our library · 29 more in our library without a page yet · ⭐ Paper Stars ranking: #8698

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. 55 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. Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning (2025 · 25 citations)
    Large language models often fail at multi-step reasoning over tables. A wrong choice early in the chain, such as picking the wrong row or column, tends to carry through to the final answer. Earlier decomposition methods like Binder, Dater and Chain-of-Table have no reliable way to catch and fix these intermediate…
  2. UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning (2026 · 1 citation)
    LLM creative writing faces two opposite problems. Long stories and scripts need global planning, or they drift off topic, repeat themselves and lose structure. Short pieces such as poems, slogans or blessings get worse when forced through rigid outlines, and models already tend toward bland, high-probability wording.…

All works

31 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. Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYunbo Wang et al.2019 · 483 citations
  2. User Preference-aware Fake News Detection ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetYingtong Dou et al.2021 · 292 citations
  3. COSNET ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetYutao Zhang et al.2015 · 283 citations
  4. Spatiotemporal Pyramid Network for Video Action Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYunbo Wang et al.2017 · 277 citations
  5. Spectral clustering for multi-type relational data ↗International Conference on Machine Learning · no summary yetBo Long et al.2006 · 253 citations
  6. Generative Dual Adversarial Network for Generalized Zero-Shot Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHe Huang et al.2019 · 248 citations
  7. Transfer Sparse Coding for Robust Image Representation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMingsheng Long et al.2013 · 190 citations
  8. A Survey of AI-Generated Content (AIGC) ↗ACM Computing Surveys · no summary yetYihan Cao et al.2024 · 187 citations
  9. DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhi‐Hong Deng et al.2019 · 184 citations
  10. Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity ↗ACM Computing Surveys · no summary yetShuai Zhou et al.2022 · 156 citations
  11. Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetLichao Sun et al.2020 · 156 citations
  12. SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetXuming Hu et al.2020 · 121 citations
  13. Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetJianguo Zhang et al.2020 · 112 citations
  14. Multi-grained Named Entity Recognition ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetCongying Xia et al.2019 · 112 citations
  15. LLM Agents for Education: Advances and Applications ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetZhendong Chu et al.2025 · 110 citations
  16. Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetJianguo Zhang et al.2021 · 103 citations
  17. HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetZhongfen Deng et al.2021 · 87 citations
  18. Semi-supervised Relation Extraction via Incremental Meta Self-Training ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetXuming Hu et al.2021 · 83 citations
  19. Large Language Models in Law: A Survey ↗arXiv:2312.03718 · no summary yetJinqi Lai et al.2023 · 80 citations
  20. Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers ↗arXiv:2404.04925 · no summary yetLibo Qin et al.2024 · 75 citations
  21. Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLi Sun et al.2021 · 52 citations
  22. Unsupervised Feature Selection on Networks: A Generative View ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXiaokai Wei, Bokai Cao, Philip S. Yu2016 · 52 citations
  23. Composed Variational Natural Language Generation for Few-shot Intents ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetCongying Xia et al.2020 · 43 citations
  24. Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYibo Yan et al.2026 · 23 citations

See all 31 works by Peiying Yu →

 Co-authors here

8 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 1,839 times (of the 149,439 papers whose bibliographies we read); 293 citing papers with a page here →.

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