Elamur Research⌕
☰
home / authors / Peiying Yu / all works

Peiying Yu — all works

31 works · ← Peiying Yu

  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
  25. Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetYe Liu et al.2021 · 22 citations
  26. ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiuxuan Shen et al.2025 · 5 citations
  27. Multi-View Incongruity Learning for Multimodal Sarcasm Detection ↗Proceedings of the 31st International Conference on Computational Linguistics · no summary yetDiandian Guo et al.2025 · 3 citations
  28. LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering ↗Proceedings of the 4th Workshop on Towards Knowledgeable Foundation Models (KnowFM 2026) · no summary yetYuanjie Zhu et al.2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/peiying-yu/works/