--- title: "Hui Xiong — author profile and papers — Elamur Research" description: "Hui Xiong, Hong Kong University of Science and Technology: 4 papers on Elamur Research (2026), h-index 88 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/hui-xiong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hui-xiong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hui Xiong # Hui Xiong Hui Xiong has 4 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bo Jin](https://md.research.elamur.ai/free/en/authors/bo-jin/), [Cehao Yang](https://md.research.elamur.ai/free/en/authors/cehao-yang/), [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/). 4 papers in our library · 2026 [OpenAlex](https://openalex.org/A5101862104) · [ORCID](https://orcid.org/0000-0001-6016-6465) · [Wikidata](https://www.wikidata.org/wiki/Q130801404) · [**h-index 88**](https://openalex.org/authors/A5101862104) · [2,725 works](https://openalex.org/works?filter=author.id:A5101862104) · [49,317 citations](https://openalex.org/works?filter=author.id:A5101862104&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/hui-xiong/#papers) · [🔗 Cited 138 times in our library](https://md.research.elamur.ai/free/en/authors/hui-xiong/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11736](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11736) 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=Hui+Xiong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hui+Xiong) · [dblp](https://dblp.org/search?q=Hui+Xiong) · [ACL Anthology](https://aclanthology.org/search/?q=Hui+Xiong) ## Affiliations [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2021–2026 · 339 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2021–2026 · 192 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2022–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**Rutgers, The State University of New Jersey** New Brunswick · United States 2005–2024 · 3,032 papersEmployment](https://md.research.elamur.ai/free/en/universities/rutgers-the-state-university-of-new-jersey/) · [🏢**Baidu** Beijing · China 2018–2023 · 26 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🔬**Guangzhou HKUST Fok Ying Tung Research Institute** Guangzhou · China 2022–2026 · 21 papers](https://ror.org/05cvbj479) · [🎓**University of Minnesota** Minneapolis · United States 2003–2005 · 18 papers](https://md.research.elamur.ai/free/en/universities/university-of-minnesota/) · [🎓**University of Science and Technology of China** Hefei · China 2018–2020 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**South China University of Technology** Guangzhou · China 2022–2026 · 5 papers](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2024–2026 · 4 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 26 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computational Mechanics · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/computational-mechanics/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/hui-xiong/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/)** *(2026 · 4 citations)* Long chain-of-thought (long-CoT) reasoning can be instilled in LLMs cheaply by supervised fine-tuning on traces generated by strong reasoning models. 2. **[Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models](https://md.research.elamur.ai/free/en/papers/wu-2026-anti-length-shift-dynamic-outlier/)** *(2026 · 1 citation)* Reasoning models trained with RLVR tend to write very long chains of thought even for easy questions, which makes deployment expensive. 3. **[SceneLM: 3D-Aware Language Models for Editable 3D Scene Synthesis](https://md.research.elamur.ai/free/en/papers/yao-2026-scenelm-3d-aware-language-models/)** *(2026)* SceneLM addresses the problem of building an editable 3D scene from one RGB image. Geometry-based pipelines give good quality but usually have to be rerun to fix errors. LLM tool-using systems are interactive but work mainly from text and lack metric 3D understanding. SceneLM reframes the task as two steps. First, a… 4. **[SiLP: Enhancing Non-Dominant Language Capabilities with a Selective Bidirectional Language Projection Framework](https://md.research.elamur.ai/free/en/papers/liu-2026-silp-enhancing-non-dominant-language/)** *(2026)* Large language models handle English and other dominant languages much better than under-represented ones because their pretraining data is skewed. ## All works 8 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting ↗](https://doi.org/10.1609/aaai.v35i12.17325) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Haoyi Zhou et al.*2021 · 7,398 citations* 2. **[Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion ↗](https://doi.org/10.1609/aaai.v34i05.6508) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhao Zhang et al.*2020 · 198 citations* 3. **[Coupled Layer-wise Graph Convolution for Transportation Demand Prediction ↗](https://doi.org/10.1609/aaai.v35i5.16591) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Junchen Ye et al.*2021 · 191 citations* 4. **[Spatio-Temporal Dual Graph Attention Network for Query-POI Matching ↗](https://doi.org/10.1145/3397271.3401159) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Zixuan Yuan et al.*2020 · 58 citations* 5. **[Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cehao Yang, Xueyuan Lin, Xiaojun Wu, et al.*2026 · 4 citations* 6. **[Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models](https://md.research.elamur.ai/free/en/papers/wu-2026-anti-length-shift-dynamic-outlier/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Wu, Liyi Chen, Congxi Xiao, et al.*2026 · 1 citation* 7. **[SceneLM: 3D-Aware Language Models for Editable 3D Scene Synthesis](https://md.research.elamur.ai/free/en/papers/yao-2026-scenelm-3d-aware-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingbo Yao, Xiaoyu Chen, Doudou Zhang, et al.*2026* 8. **[SiLP: Enhancing Non-Dominant Language Capabilities with a Selective Bidirectional Language Projection Framework](https://md.research.elamur.ai/free/en/papers/liu-2026-silp-enhancing-non-dominant-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junpeng Liu, Jiuyi Li, Kaiyu Huang, et al.*2026* ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Bo Jin](https://md.research.elamur.ai/free/en/authors/bo-jin/) - [Cehao Yang](https://md.research.elamur.ai/free/en/authors/cehao-yang/) - [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/) - [Chengqiang Lu](https://md.research.elamur.ai/free/en/authors/chengqiang-lu/) - [Degen Huang](https://md.research.elamur.ai/free/en/authors/degen-huang/) - [Jian Guo](https://md.research.elamur.ai/free/en/authors/jian-guo/) - [Kaiyu Huang](https://md.research.elamur.ai/free/en/authors/kaiyu-huang/) - [Wei Wu](https://md.research.elamur.ai/free/en/authors/wei-wu/) - [Xiaojun Wu](https://md.research.elamur.ai/free/en/authors/xiaojun-wu/) - [Xueyuan Lin](https://md.research.elamur.ai/free/en/authors/xueyuan-lin/) - [Xuhui Jiang](https://md.research.elamur.ai/free/en/authors/xuhui-jiang/) - [Yan Gao](https://md.research.elamur.ai/free/en/authors/yan-gao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - Proceedings of the AAAI Conference on Artificial Intelligence ×3 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ## Cited by Papers of our library cite their works 138 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hui-xiong/cited-by/). Updated 2 November 2026