🧑‍🔬 Xiangnan He

🏛️ Affiliations

🎓University of Science and Technology of ChinaHefei · China2018–2026 · 259 papersEmployment since 2019 · Professor, School of Information Science and Technologycurrent🎓Henan University of Science and TechnologyLuoyang · China2026 · 1 papercurrent🎓National University of SingaporeSingapore · Singapore2011–2024 · 70 papersEducation 2011–2016 · PhD, Depart of Computer Science🎓Fudan UniversityShanghai · China2009–2022 · 9 papers🔬Agricultural Information InstituteBeijing · China2024–2025 · 3 papers🏛️Chinese Academy of Agricultural SciencesBeijing · China2024–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures (2018 · 430 citations)
   Conventional task-oriented dialogue systems chain separate modules, and the belief tracker is the weakest link.
2. Personalized Generation In Large Model Era: A Survey (2025 · 24 citations)
   Work on generating content tailored to individual users has grown separately in NLP, computer vision and information retrieval.
3. Route Sparse Autoencoder to Interpret Large Language Models (2025 · 11 citations)
   Sparse autoencoders (SAEs) are a popular way to break LLM activations into interpretable, mostly monosemantic features.
4. Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search (2026 · 2 citations)
   Jointly optimizing LLM-based multi-agent systems (MAS) is difficult, partly because each agent's contribution to the outcome is hard to measure.
5. AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation (2026)
   As reinforcement learning is scaled up for LLM-based agents, checking whether an agent actually did its job becomes a bottleneck.

All works

17 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. LightGCN ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetXiangnan He et al.2020 · 4,432 citations
2. Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks ↗International Joint Conference on Artificial Intelligence · no summary yetJun Xiao et al.2017 · 927 citations
3. Explainable Reasoning over Knowledge Graphs for Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXiang Wang et al.2019 · 770 citations
4. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation ↗arXiv:2305.00447 · no summary yetKeqin Bao; Jizhi Zhang; Yang Zhang; Wenjie Wang; Fuli Feng;, Xiangnan He2023 · 531 citations
5. Causal Intervention for Leveraging Popularity Bias in Recommendation ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetYang Zhang et al.2021 · 437 citations
6. Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence ArchitecturesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al.2018 · 430 citations
7. Multi-behavior Recommendation with Graph Convolutional Networks ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetBowen Jin et al.2020 · 422 citations
8. Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXiangpeng Li et al.2019 · 280 citations
9. Context-aware Image Tweet Modelling and Recommendation ↗ACM International Conference on Multimedia (ACM MM) · no summary yetTao Chen, Xiangnan He, Min‐Yen Kan2016 · 84 citations
10. Conversational Recommendation: Formulation, Methods, and Evaluation ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetWenqiang Lei et al.2020 · 77 citations
11. How to Retrain Recommender System? ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetYang Zhang et al.2020 · 71 citations
12. Shorter-is-Better ↗ACM International Conference on Multimedia (ACM MM) · no summary yetJianglong Zhang et al.2016 · 63 citations
13. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
14. Route Sparse Autoencoder to Interpret Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Shi, Sihang Li, Tao Liang, et al.2025 · 11 citations
15. Efficient Multi-Agent System Training with Data Influence-Oriented Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Shi, Zichun Yu, Fuli Feng, et al.2026 · 2 citations
16. Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors ↗arXiv:2302.08975 · no summary yetKeqin Bao et al.2023 · 2 citations
17. AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware EvaluationFindings of the Association for Computational LinguisticsWentao Shi, Yu Wang, Yuyang Zhao, et al.2026

🤝 Co-authors here

12 of 21 co-authors with a page, the most papers together first.

• Fuli Feng ×3
• Wentao Shi ×2
• Alireza Salemi
• Chenyan Xiong
• Dawei Yin
• Hamed Zamani
• Hui Su
• Jinghao Zhang
• Min-Yen Kan
• Sihang Li
• Tao Liang
• Tat-Seng Chua

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×5
• Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026, ACL 2025, ACL 2018
• ACM International Conference on Multimedia (ACM MM) ×2
• Proceedings of the AAAI Conference on Artificial Intelligence ×2
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• International Joint Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 300 times (of the 149,439 papers whose bibliographies we read); 35 citing papers with a page here →.

Updated 1 November 2026

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