--- title: "Huizhi Liang — author profile and papers — Elamur Research" description: "Huizhi Liang, Microsoft Research Asia: 5 papers on Elamur Research (2022–2026), h-index 18 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/huizhi-liang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/huizhi-liang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Huizhi Liang # Huizhi Liang Huizhi Liang has 5 papers in our library, in 2022–2026, 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/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Dawei Wang](https://md.research.elamur.ai/free/en/authors/dawei-wang/), [Gary Ushaw](https://md.research.elamur.ai/free/en/authors/gary-ushaw/), [Richard Davison](https://md.research.elamur.ai/free/en/authors/richard-davison/). 5 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5075528828) · [ORCID](https://orcid.org/0000-0003-4408-4528) · [**h-index 18**](https://openalex.org/authors/A5075528828) · [154 works](https://openalex.org/works?filter=author.id:A5075528828) · [898 citations](https://openalex.org/works?filter=author.id:A5075528828&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/huizhi-liang/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/huizhi-liang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10333](https://md.research.elamur.ai/free/en/paper-stars/page/104/#star-10333) 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=Huizhi+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Huizhi+Liang) · [dblp](https://dblp.org/search?q=Huizhi+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Huizhi+Liang) ## Affiliations [🎓**Newcastle University** Newcastle upon Tyne · United Kingdom 2021–2026 · 72 papersEmployment since 2022*current*](https://md.research.elamur.ai/free/en/universities/newcastle-university/) · [🎓**Tsinghua University** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Microsoft Research Asia** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**University of Reading** Reading · United Kingdom 2017–2023 · 15 papersEmployment 2017–2021 · Lecture, Department of Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-reading/) · [🎓**Queensland University of Technology** Brisbane · Australia 2007–2014 · 14 papersEducation 2007–2011 · PhD](https://md.research.elamur.ai/free/en/universities/queensland-university-of-technology/) · [🎓**The University of Melbourne** Melbourne · Australia 2014–2016 · 7 papersEmployment 2014–2016 · Postdoctoral Research Fellow, Computing and Information Systems](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🎓**Australian National University** Canberra · Australia 2012–2015 · 5 papersEmployment 2012–2014 · Postdoctoral Research Fellow, Research School of Computer Science](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🎓**Albert Einstein College of Medicine** Bronx · United States 2024–2025 · 3 papers](https://ror.org/05cf8a891) 🏛️**Sorbonne Université Campus Pierre et Marie Curie** Paris · [France](https://md.research.elamur.ai/free/en/countries/france/) 2016–2017Employment 2016–2017 · Postdoctoral Research Fellow, LIP6 From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 7 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Knowledge graphs & ontologies · 2 works](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/huizhi-liang/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/huizhi-liang/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection](https://md.research.elamur.ai/free/en/papers/brefo-2022-uor-ncl-semeval-2022-task/)** *(2022 · 4 citations)* The paper presents the UoR-NCL entry to iSarcasmEval (SemEval-2022 Task 6, sub-task A), a binary task of deciding whether English or Arabic tweets are sarcastic. 2. **[NCL at SemEval-2026 Task 8: Deterministic Small-LLM RAG with Relation Classification](https://md.research.elamur.ai/free/en/papers/liu-2026-ncl-semeval-2026-task-8/)** *(2026 · 1 citation)* This paper describes Newcastle University's entry to SemEval-2026 Task 8B, the generation track of MTRAGEval. 3. **[SemEval-2026 Task 12: Knowledge Graph with hyperbolic embedding in Abductive Event Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-semeval-2026-task-12-knowledge/)** *(2026 · 1 citation)* The paper describes a system for SemEval-2026 Task 12, Abductive Event Reasoning (AER). Given a real-world news event and a set of retrieved documents, some of them distractors, a model must pick the most plausible direct cause from four candidate options (A–D). More than one option can be correct. The authors… 4. **[KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge](https://md.research.elamur.ai/free/en/papers/robertson-2026-kghalubench-knowledge-graph-based-hallucination/)** *(2026)* Hallucination benchmarks often rely on fixed question sets and short or multiple-choice formats. These go stale, cover a narrow slice of knowledge, and rarely test how deeply a model knows a topic. KGHaluBench addresses this by building questions dynamically from Wikidata. It samples random entities, balancing very… 5. **[Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-tracing-light-thought-probabilistic-self/)** *(2026)* Self Consistency (SC) samples many reasoning chains and returns the most common answer. It breaks down on hard math problems, where wrong answers outnumber right ones. The authors borrow an idea from computer graphics, Metropolis Light Transport, which concentrates sampling near light paths already known to carry… ## All works 7 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. **[Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents ↗](https://aclanthology.org/2023.semeval-1.178/) Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) · no summary yet**Junzhe Zhao et al.*2023 · 5 citations* 2. **[nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation ↗](https://aclanthology.org/2023.semeval-1.36/) Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) · no summary yet**Nicolay Rusnachenko, Thanet Markchom, Huizhi Liang*2023 · 4 citations* 3. **[UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection](https://md.research.elamur.ai/free/en/papers/brefo-2022-uor-ncl-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Emmanuel Osei-Brefo, Huizhi Liang*2022 · 4 citations* 4. **[NCL at SemEval-2026 Task 8: Deterministic Small-LLM RAG with Relation Classification](https://md.research.elamur.ai/free/en/papers/liu-2026-ncl-semeval-2026-task-8/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Zehao Liu, Huizhi Liang*2026 · 1 citation* 5. **[SemEval-2026 Task 12: Knowledge Graph with hyperbolic embedding in Abductive Event Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-semeval-2026-task-12-knowledge/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mingkai Wang, Varun Ojha, Huizhi Liang*2026 · 1 citation* 6. **[KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge](https://md.research.elamur.ai/free/en/papers/robertson-2026-kghalubench-knowledge-graph-based-hallucination/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alex Robertson, Huizhi Liang, Mahbub Gani, et al.*2026* 7. **[Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-tracing-light-thought-probabilistic-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaoyang Liu, Dawei Wang, Tian Li, et al.*2026* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Dawei Wang](https://md.research.elamur.ai/free/en/authors/dawei-wang/) - [Gary Ushaw](https://md.research.elamur.ai/free/en/authors/gary-ushaw/) - [Richard Davison](https://md.research.elamur.ai/free/en/authors/richard-davison/) - [Xiaoyang Liu](https://md.research.elamur.ai/free/en/authors/xiaoyang-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) ×6: [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ×2, [SemEval 2022](https://md.research.elamur.ai/free/en/venues/semeval/2022/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 ## Cited by Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/huizhi-liang/cited-by/). Updated 1 November 2026