---
title: "Xiangnan He — author profile and papers — Elamur Research"
description: "Xiangnan He, University of Science and Technology of China: 7 papers on Elamur Research (2018–2026), h-index 93 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/xiangnan-he/"
---
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# Xiangnan He

Xiangnan He has 7 papers in our library, in 2018–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Fuli Feng](https://md.research.elamur.ai/free/en/authors/fuli-feng/), [Wentao Shi](https://md.research.elamur.ai/free/en/authors/wentao-shi/), [Alireza Salemi](https://md.research.elamur.ai/free/en/authors/alireza-salemi/).

7 papers in our library · 2018–2026

[OpenAlex](https://openalex.org/A5038668215) · [ORCID](https://orcid.org/0000-0001-8472-7992) · [Wikidata](https://www.wikidata.org/wiki/Q130800205) · [**h-index 93**](https://openalex.org/authors/A5038668215) · [398 works](https://openalex.org/works?filter=author.id:A5038668215) · [45,585 citations](https://openalex.org/works?filter=author.id:A5038668215&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/xiangnan-he/#papers) · [🔗 Cited 300 times in our library](https://md.research.elamur.ai/free/en/authors/xiangnan-he/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2716](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2716)

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=Xiangnan+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiangnan+He) · [dblp](https://dblp.org/search?q=Xiangnan+He) · [ACL Anthology](https://aclanthology.org/search/?q=Xiangnan+He)

## Affiliations

[🎓**University of Science and Technology of China** Hefei · China 2018–2026 · 259 papersEmployment since 2019 · Professor, School of Information Science and Technology*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Henan University of Science and Technology** Luoyang · China 2026 · 1 paper*current*](https://ror.org/05d80kz58) · [🎓**National University of Singapore** Singapore · Singapore 2011–2024 · 70 papersEducation 2011–2016 · PhD, Depart of Computer Science](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Fudan University** Shanghai · China 2009–2022 · 9 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🔬**Agricultural Information Institute** Beijing · China 2024–2025 · 3 papers](https://ror.org/00q62zf58) · [🏛️**Chinese Academy of Agricultural Sciences** Beijing · China 2024–2025 · 3 papers](https://ror.org/0313jb750)

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.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Chatbots · 1 work](https://md.research.elamur.ai/free/en/concepts/chatbot/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/xiangnan-he/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xiangnan-he/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangnan-he/year/2023/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangnan-he/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation](https://md.research.elamur.ai/free/en/papers/bao-2023-tallrec-effective-efficient-tuning-framework/)** *(2023 · 531 citations)* The paper asks why general-purpose LLMs make poor recommenders when used only through In-context Learning, and how to fix this cheaply.
2. **[Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/)** *(2018 · 430 citations)* Conventional task-oriented dialogue systems chain separate modules, and the belief tracker is the weakest link.
3. **[Personalized Generation In Large Model Era: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2025-personalized-generation-large-model-era/)** *(2025 · 24 citations)* Work on generating content tailored to individual users has grown separately in NLP, computer vision and information retrieval.
4. **[Route Sparse Autoencoder to Interpret Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2025-route-sparse-autoencoder-interpret-large/)** *(2025 · 11 citations)* Sparse autoencoders (SAEs) are a popular way to break LLM activations into interpretable, mostly monosemantic features.
5. **[Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search](https://md.research.elamur.ai/free/en/papers/shi-2026-efficient-multi-agent-system-training/)** *(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.
6. **[AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation](https://md.research.elamur.ai/free/en/papers/shi-2026-aj-bench-benchmarking-agent-as/)** *(2026)* As reinforcement learning is scaled up for LLM-based agents, checking whether an agent actually did its job becomes a bottleneck.
7. **[Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation](https://md.research.elamur.ai/free/en/papers/zhu-2026-mitigating-hallucinations-large-vision-language/)** *(2026)* Large vision-language models (LVLMs) often describe things that are not in the image. Representation-editing fixes are cheaper than fine-tuning on curated data, but they tend to damage general output quality, causing repetitive or incoherent text. The authors trace this damage to two causes. First, the extracted…

## All works

18 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. **[LightGCN ↗](https://doi.org/10.1145/3397271.3401063) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Xiangnan He et al.*2020 · 4,432 citations*
2. **[Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks ↗](https://doi.org/10.24963/ijcai.2017/435) International Joint Conference on Artificial Intelligence · no summary yet**Jun Xiao et al.*2017 · 927 citations*
3. **[Explainable Reasoning over Knowledge Graphs for Recommendation ↗](https://doi.org/10.1609/aaai.v33i01.33015329) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Xiang Wang et al.*2019 · 770 citations*
4. [**TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation arXiv:2305.00447**Keqin Bao; Jizhi Zhang; Yang Zhang; Wenjie Wang; Fuli Feng;, Xiangnan He*2023 · 531 citations*](https://md.research.elamur.ai/free/en/papers/bao-2023-tallrec-effective-efficient-tuning-framework/)
5. **[Causal Intervention for Leveraging Popularity Bias in Recommendation ↗](https://doi.org/10.1145/3404835.3462875) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Yang Zhang et al.*2021 · 437 citations*
6. **[Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al.*2018 · 430 citations*
7. **[Multi-behavior Recommendation with Graph Convolutional Networks ↗](https://doi.org/10.1145/3397271.3401072) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Bowen Jin et al.*2020 · 422 citations*
8. **[Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering ↗](https://doi.org/10.1609/aaai.v33i01.33018658) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Xiangpeng Li et al.*2019 · 280 citations*
9. **[Context-aware Image Tweet Modelling and Recommendation ↗](https://doi.org/10.1145/2964284.2964291) ACM International Conference on Multimedia (ACM MM) · no summary yet**Tao Chen, Xiangnan He, Min‐Yen Kan*2016 · 84 citations*
10. **[Conversational Recommendation: Formulation, Methods, and Evaluation ↗](https://doi.org/10.1145/3397271.3401419) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Wenqiang Lei et al.*2020 · 77 citations*
11. **[How to Retrain Recommender System? ↗](https://doi.org/10.1145/3397271.3401167) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Yang Zhang et al.*2020 · 71 citations*
12. **[Shorter-is-Better ↗](https://doi.org/10.1145/2964284.2964307) ACM International Conference on Multimedia (ACM MM) · no summary yet**Jianglong Zhang et al.*2016 · 63 citations*
13. **[Personalized Generation In Large Model Era: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2025-personalized-generation-large-model-era/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.*2025 · 24 citations*
14. **[Route Sparse Autoencoder to Interpret Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2025-route-sparse-autoencoder-interpret-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Shi, Sihang Li, Tao Liang, et al.*2025 · 11 citations*
15. **[Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search](https://md.research.elamur.ai/free/en/papers/shi-2026-efficient-multi-agent-system-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://arxiv.org/abs/2302.08975) arXiv:2302.08975 · no summary yet**Keqin Bao et al.*2023 · 2 citations*
17. **[AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation](https://md.research.elamur.ai/free/en/papers/shi-2026-aj-bench-benchmarking-agent-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wentao Shi, Yu Wang, Yuyang Zhao, et al.*2026*
18. **[Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation](https://md.research.elamur.ai/free/en/papers/zhu-2026-mitigating-hallucinations-large-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.*2026*

## Co-authors here

12 of 25 co-authors with a page, the most papers together first.

- [Fuli Feng](https://md.research.elamur.ai/free/en/authors/fuli-feng/) ×3
- [Wentao Shi](https://md.research.elamur.ai/free/en/authors/wentao-shi/) ×2
- [Alireza Salemi](https://md.research.elamur.ai/free/en/authors/alireza-salemi/)
- [Chenyan Xiong](https://md.research.elamur.ai/free/en/authors/chenyan-xiong/)
- [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/)
- [Hamed Zamani](https://md.research.elamur.ai/free/en/authors/hamed-zamani/)
- [Hui Su](https://md.research.elamur.ai/free/en/authors/hui-su/)
- [Jinghao Zhang](https://md.research.elamur.ai/free/en/authors/jinghao-zhang/)
- [Junfeng Fang](https://md.research.elamur.ai/free/en/authors/junfeng-fang/)
- [Min-Yen Kan](https://md.research.elamur.ai/free/en/authors/min-yen-kan/)
- [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/)
- [Sihang Li](https://md.research.elamur.ai/free/en/authors/sihang-li/)

## 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)](https://md.research.elamur.ai/free/en/venues/acl/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2018](https://md.research.elamur.ai/free/en/venues/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)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/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); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiangnan-he/cited-by/).

Updated 2 November 2026