--- title: "Tao Qi — author profile and papers — Elamur Research" description: "Tao Qi, Beijing University of Posts and Telecommunications: 3 papers on Elamur Research (2020–2026), h-index 26 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/tao-qi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tao-qi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tao Qi # Tao Qi Tao Qi has 3 papers in our library, in 2020–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Fangzhao Wu](https://md.research.elamur.ai/free/en/authors/fangzhao-wu/), [Xing Xie](https://md.research.elamur.ai/free/en/authors/xing-xie/), [Chuhan Wu](https://md.research.elamur.ai/free/en/authors/chuhan-wu/). 3 papers in our library · 2020–2026 [OpenAlex](https://openalex.org/A5035067940) · [ORCID](https://orcid.org/0000-0002-1250-3217) · [**h-index 26**](https://openalex.org/authors/A5035067940) · [65 works](https://openalex.org/works?filter=author.id:A5035067940) · [2,907 citations](https://openalex.org/works?filter=author.id:A5035067940&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/tao-qi/#papers) · [🔗 Cited 169 times in our library](https://md.research.elamur.ai/free/en/authors/tao-qi/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3595](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3595) 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=Tao+Qi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tao+Qi) · [dblp](https://dblp.org/search?q=Tao+Qi) · [ACL Anthology](https://aclanthology.org/search/?q=Tao+Qi) ## Affiliations [🎓**Tsinghua University** Beijing · China 2019–2025 · 51 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🔬**State Key Laboratory of Networking and Switching Technology** Beijing · China 2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-networking-and-switching-technology/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2020–2021 · 12 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🏢**Microsoft Research Asia** Beijing · China 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/tao-qi/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/tao-qi/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[MIND: A Large-scale Dataset for News Recommendation](https://md.research.elamur.ai/free/en/papers/wu-2020-mind-large-scale-dataset-news/)** *(2020 · 564 citations)* News recommendation has lagged behind product and movie recommendation because there has been no large, public, English benchmark. Earlier public sets are small, mostly non-English, or ship without the original article text. The authors fill this gap with MIND, which they built from Microsoft News behavior logs. 2. **[Measuring Human Contribution in AI-Assisted Content Generation](https://md.research.elamur.ai/free/en/papers/xie-2026-measuring-human-contribution-ai-assisted/)** *(2026 · 1 citation)* As more writing is produced by LLMs following human prompts, deciding how much of a piece reflects the person rather than the model has become difficult. 3. **[Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-black-box-membership-inference-attacks/)** *(2026)* The paper tackles a practical question: can one tell whether a particular video was used to train a multimodal large language model (MLLM) when only the model's text output is visible? Earlier video membership inference attacks (MIAs) have two weaknesses. ## All works 9 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. **[MIND: A Large-scale Dataset for News Recommendation](https://md.research.elamur.ai/free/en/papers/wu-2020-mind-large-scale-dataset-news/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, et al.*2020 · 564 citations* 2. **[Neural News Recommendation with Multi-Head Self-Attention ↗](https://aclanthology.org/D19-1671/) 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**Chuhan Wu et al.*2019 · 387 citations* 3. **[Privacy-Preserving News Recommendation Model Learning ↗](https://aclanthology.org/2020.findings-emnlp.128/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Tao Qi et al.*2020 · 144 citations* 4. **[HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation ↗](https://aclanthology.org/2021.acl-long.423/) 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 yet**Tao Qi et al.*2021 · 92 citations* 5. **[Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling ↗](https://aclanthology.org/2021.acl-short.107/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yet**Chuhan Wu et al.*2021 · 79 citations* 6. **[PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity ↗](https://aclanthology.org/2021.acl-long.424/) 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 yet**Tao Qi et al.*2021 · 69 citations* 7. **[Measuring Human Contribution in AI-Assisted Content Generation](https://md.research.elamur.ai/free/en/papers/xie-2026-measuring-human-contribution-ai-assisted/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yueqi Xie, Tao Qi, Jingwei Yi, et al.*2026 · 1 citation* 8. **[Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-black-box-membership-inference-attacks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinrui Wang, Zhenfeng Gao, Wendan Wang, et al.*2026* 9. **[Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation ↗](https://aclanthology.org/2026.acl-long.892/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Peiru Yang et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Fangzhao Wu](https://md.research.elamur.ai/free/en/authors/fangzhao-wu/) ×2 - [Xing Xie](https://md.research.elamur.ai/free/en/authors/xing-xie/) ×2 - [Chuhan Wu](https://md.research.elamur.ai/free/en/authors/chuhan-wu/) - [Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/) - [Jianxun Lian](https://md.research.elamur.ai/free/en/authors/jianxun-lian/) - [Ming Zhou](https://md.research.elamur.ai/free/en/authors/ming-zhou/) - [Xiyuan Yang](https://md.research.elamur.ai/free/en/authors/xiyuan-yang/) - [Yueqi Xie](https://md.research.elamur.ai/free/en/authors/yueqi-xie/) ## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/) - 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) ×3 - Findings of the Association for Computational Linguistics: EMNLP 2020 - 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 169 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tao-qi/cited-by/). Updated 1 November 2026