🧑‍🔬 Tao Qi

🏛️ Affiliations

🎓Tsinghua UniversityBeijing · China2019–2025 · 51 paperscurrent🎓Beijing University of Posts and TelecommunicationsBeijing · China2025 · 2 paperscurrent🔬State Key Laboratory of Networking and Switching TechnologyBeijing · China2025 · 2 paperscurrent🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2020–2021 · 12 papers🏢Microsoft Research AsiaBeijing · China2020–2021 · 3 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MIND: A Large-scale Dataset for News Recommendation (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 (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 (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 RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, et al.2020 · 564 citations
2. Neural News Recommendation with Multi-Head Self-Attention ↗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 yetChuhan Wu et al.2019 · 387 citations
3. Privacy-Preserving News Recommendation Model Learning ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetTao Qi et al.2020 · 144 citations
4. HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation ↗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 yetTao Qi et al.2021 · 92 citations
5. Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling ↗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 yetChuhan Wu et al.2021 · 79 citations
6. PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity ↗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 yetTao Qi et al.2021 · 69 citations
7. Measuring Human Contribution in AI-Assisted Content GenerationAnnual Meeting of the Association for Computational Linguistics (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 ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinrui Wang, Zhenfeng Gao, Wendan Wang, et al.2026
9. Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPeiru Yang et al.2026

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Fangzhao Wu ×2
• Xing Xie ×2
• Chuhan Wu
• Jianfeng Gao
• Jianxun Lian
• Ming Zhou
• Xiyuan Yang
• 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) ×4: ACL 2026 ×2, 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 →.

Updated 1 November 2026

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