--- title: "Junnan Zhu — author profile and papers · Question answering" description: "Junnan Zhu, Qilu University of Technology: 6 papers on Elamur Research (2018–2026), h-index 17 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/junnan-zhu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junnan-zhu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Junnan Zhu # Junnan Zhu Junnan Zhu has 6 papers in our library, in 2018–2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Chengqing Zong](https://md.research.elamur.ai/free/en/authors/chengqing-zong/), [Jiang Zhong](https://md.research.elamur.ai/free/en/authors/jiang-zhong/), [Kaiwen Wei](https://md.research.elamur.ai/free/en/authors/kaiwen-wei/). 6 papers in our library · 2018–2026 [OpenAlex](https://openalex.org/A5015809194) · [ORCID](https://orcid.org/0000-0002-9856-2946) · [**h-index 17**](https://openalex.org/authors/A5015809194) · [72 works](https://openalex.org/works?filter=author.id:A5015809194) · [1,244 citations](https://openalex.org/works?filter=author.id:A5015809194&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/junnan-zhu/#papers) · [🔗 Cited 244 times in our library](https://md.research.elamur.ai/free/en/authors/junnan-zhu/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5244](https://md.research.elamur.ai/free/en/paper-stars/page/53/#star-5244) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Junnan+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junnan+Zhu) · [dblp](https://dblp.org/search?q=Junnan+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Junnan+Zhu) ## Affiliations [🔬**Institute of Automation** Beijing · China 2017–2026 · 57 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2018–2026 · 56 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2017–2026 · 27 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Shenyang Institute of Computing Technology** Shenyang · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/shenyang-institute-of-computing-technology/) · [🔬**National Supercomputing Center in Jinan** Jinan · China 2026 · 1 paper*current*](https://ror.org/00q2tt650) · [🎓**Qilu University of Technology** Jinan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/qilu-university-of-technology/) · [🎓**Shandong Academy of Sciences** Jinan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shandong-academy-of-sciences/) 🏛️**Institute of Automation Chinese Academy of Sciences** Beijing · [China](https://md.research.elamur.ai/free/en/countries/china/) 2015–2023Education 2015–2020 · Doctor, National Laboratory of Pattern RecognitionEmployment 2020–2023 · Assistant ProfessorEmployment since 2023 · Associate ProfessorEmployment since 2023 [🎓**Central South University** Changsha · China 2011–2015Education 2011–2015 · Bachelor, School of Information Science and Engineering](https://md.research.elamur.ai/free/en/universities/central-south-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 12 The field of science this work belongs to (OpenAlex fields).[Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) 🧭 Topics 6 Research subjects and languages the work is about.[Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/junnan-zhu/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/junnan-zhu/year/2025/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/junnan-zhu/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[MSMO: Multimodal Summarization with Multimodal Output](https://md.research.elamur.ai/free/en/papers/zhu-2018-msmo-multimodal-summarization-multimodal-output/)** *(2018 · 245 citations)* The paper argues that summaries of multimedia news should be multimodal themselves. It introduces MSMO, a task where a system receives an article plus an unaligned set of images and must return a short text summary together with the single most relevant image. The authors built a large corpus from the Daily Mail… 2. **[TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering](https://md.research.elamur.ai/free/en/papers/zhu-2025-tableeval-real-world-benchmark-complex/)** *(2025 · 7 citations)* TableEval addresses weaknesses in existing table question answering (TableQA) benchmarks. Most rely on simple flat tables, cover a single language, and may overlap with LLM pretraining data. The authors gathered tables from documents published in 2024, drawn from government, finance, academic and industry-report… 3. **[TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification](https://md.research.elamur.ai/free/en/papers/zhu-2025-trove-challenge-fine-grained-text/)** *(2025 · 6 citations)* TROVE frames text provenance as a fine-grained task. For every sentence of a generated or target text, a system must find the exact source sentences it came from, even when the input is long or split across several documents. It must also label how each sentence was derived: quotation, compression, inference, or… 4. **[From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation](https://md.research.elamur.ai/free/en/papers/wei-2026-past-path-masked-history-learning/)** *(2026)* Generative recommenders produce semantic item IDs one step at a time. This left-to-right training tends to anchor them on the most recent interactions and miss longer-range user intent. To counter this, the authors introduce Masked History Learning (MHL), which changes how decoder-only generative models are trained.… 5. **[GenProve: Learning to Generate Text with Fine-Grained Provenance](https://md.research.elamur.ai/free/en/papers/wei-2026-genprove-learning-generate-text-fine/)** *(2026)* Citations in LLM answers often point only to whole documents. They do not show which sentence backs a claim or how that sentence is used, so checking the answer stays hard. The authors define a task called Generation-time Fine-grained Provenance. The model writes an answer and, for each sentence, emits structured… 6. **[MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis](https://md.research.elamur.ai/free/en/papers/sun-2026-mentalseek-dx-progressive-hypothetico-deductive/)** *(2026)* The paper tackles automated psychiatric diagnosis with LLMs. Existing evaluation data are mostly social-media posts or synthetic stories with coarse labels, so they say little about real clinical use. The authors build MentalDx Bench from 712 de-identified electronic health records collected at partner hospitals.… ## All works 11 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them. 1. **[MSMO: Multimodal Summarization with Multimodal Output](https://md.research.elamur.ai/free/en/papers/zhu-2018-msmo-multimodal-summarization-multimodal-output/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junnan Zhu, Haoran Li, Tianshang Liu, et al.*2018 · 245 citations* 2. **[NCLS: Neural Cross-Lingual Summarization ↗](https://aclanthology.org/D19-1302/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Junnan Zhu et al.*2019 · 174 citations* 3. **[Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video ↗](https://aclanthology.org/D17-1114/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Haoran Li et al.*2017 · 141 citations* 4. **[Multimodal Summarization with Guidance of Multimodal Reference ↗](https://doi.org/10.1609/aaai.v34i05.6525) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Junnan Zhu et al.*2020 · 129 citations* 5. **[Keywords-Guided Abstractive Sentence Summarization ↗](https://doi.org/10.1609/aaai.v34i05.6333) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Haoran Li et al.*2020 · 107 citations* 6. **[Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization ↗](https://aclanthology.org/2020.acl-main.121/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Junnan Zhu et al.*2020 · 69 citations* 7. **[TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering](https://md.research.elamur.ai/free/en/papers/zhu-2025-tableeval-real-world-benchmark-complex/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junnan Zhu, Jingyi Wang, Bohan Yu, et al.*2025 · 7 citations* 8. **[TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification](https://md.research.elamur.ai/free/en/papers/zhu-2025-trove-challenge-fine-grained-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junnan Zhu, Min Xiao, Yining Wang, et al.*2025 · 6 citations* 9. **[From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation](https://md.research.elamur.ai/free/en/papers/wei-2026-past-path-masked-history-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kaiwen Wei, Kejun he, Xiaomian Kang, et al.*2026* 10. **[GenProve: Learning to Generate Text with Fine-Grained Provenance](https://md.research.elamur.ai/free/en/papers/wei-2026-genprove-learning-generate-text-fine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingxuan Wei, Xingyue Wang, Yanghaoyu Liao, et al.*2026* 11. **[MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis](https://md.research.elamur.ai/free/en/papers/sun-2026-mentalseek-dx-progressive-hypothetico-deductive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Sun, Ymyang, Xinyi Jiang, et al.*2026* ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Chengqing Zong](https://md.research.elamur.ai/free/en/authors/chengqing-zong/) ×2 - [Jiang Zhong](https://md.research.elamur.ai/free/en/authors/jiang-zhong/) ×2 - [Kaiwen Wei](https://md.research.elamur.ai/free/en/authors/kaiwen-wei/) ×2 - [Ymyang](https://md.research.elamur.ai/free/en/authors/ymyang/) ×2 - [Yu Zhou](https://md.research.elamur.ai/free/en/authors/yu-zhou/) ×2 - [Bihui Yu](https://md.research.elamur.ai/free/en/authors/bihui-yu/) - [Bohan Yu](https://md.research.elamur.ai/free/en/authors/bohan-yu/) - [Feifei Zhai](https://md.research.elamur.ai/free/en/authors/feifei-zhai/) - [Haoran Li](https://md.research.elamur.ai/free/en/authors/haoran-li/) - [Jiajun Zhang](https://md.research.elamur.ai/free/en/authors/jiajun-zhang/) - [Jie Zhang](https://md.research.elamur.ai/free/en/authors/jie-zhang/) - [Jingxuan Wei](https://md.research.elamur.ai/free/en/authors/jingxuan-wei/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/), [EMNLP 2018](https://md.research.elamur.ai/free/en/venues/emnlp/2018/) - Proceedings of the AAAI Conference on Artificial Intelligence ×2 - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ## Cited by Papers of our library cite their works 244 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junnan-zhu/cited-by/). Updated 1 November 2026