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Xian Wu

Xian Wu has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Information extraction, Vision & language; often with Chao Zhang, Enhong Chen, Tong Xu.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 59 · 679 works · 13,224 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 294 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #4331

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. 23 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. Large Language Models for Generative Information Extraction: A Survey (2023 · 406 citations)
    Information extraction (IE) turns raw text into structured knowledge such as entities, relations and events.
  2. Multimodal Dual-Path Decoding for Medical Report Generation (2026)
    This Findings of ACL 2026 paper automatically writes chest X-ray reports. Its PDF title reads "…Large-Model Decoding for Radiology Report Generation". The authors argue that vision-language models see the image well but lack medical background knowledge. Text-only LLMs have the opposite profile. To combine them, they…

All works

10 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. Contrastive Attention for Automatic Chest X-ray Report Generation ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetFenglin Liu et al.2021 · 181 citations
  2. Competence-based Multimodal Curriculum Learning for Medical Report Generation ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetFenglin Liu, Shen Ge, Xian Wu2021 · 152 citations
  3. U-BERT: Pre-training User Representations for Improved Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhaopeng Qiu et al.2021 · 121 citations
  4. 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
  5. Federated Learning for Vision-and-Language Grounding Problems ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetFenglin Liu et al.2020 · 111 citations
  6. DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetZhihong Zhu et al.2024 · 9 citations
  7. Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiangxu Zhang et al.2026
  8. Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhengyi Zhao et al.2026

 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 294 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

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