--- title: "Zhenya Huang — author profile and papers — Elamur Research" description: "Zhenya Huang, University of Science and Technology of China: 2 papers on Elamur Research (2026), h-index 34 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zhenya-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhenya-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhenya Huang # Zhenya Huang Zhenya Huang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/), [Mengdi Zhang](https://md.research.elamur.ai/free/en/authors/mengdi-zhang/), [Qi Liu](https://md.research.elamur.ai/free/en/authors/qi-liu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5085496384) · [ORCID](https://orcid.org/0000-0003-1661-0420) · [Wikidata](https://www.wikidata.org/wiki/Q130822691) · [**h-index 34**](https://openalex.org/authors/A5085496384) · [184 works](https://openalex.org/works?filter=author.id:A5085496384) · [4,989 citations](https://openalex.org/works?filter=author.id:A5085496384&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhenya-huang/#papers) · [🔗 Cited 70 times in our library](https://md.research.elamur.ai/free/en/authors/zhenya-huang/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11772](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11772) 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=Zhenya+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhenya+Huang) · [dblp](https://dblp.org/search?q=Zhenya+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhenya+Huang) ## Affiliations [🎓**University of Science and Technology of China** Hefei · China 2014–2026 · 168 papersEducation 2014–2020 · Ph.D., School of Computer Science and TechnologyEmployment*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zhenya-huang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?](https://md.research.elamur.ai/free/en/papers/sun-2026-swe-mutation-can-llms-generate/)** *(2026 · 1 citation)* Training and evaluating LLMs for software engineering depends on test suites, both for synthesizing repair trajectories and for providing reward signals in reinforcement learning. 2. **[One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment](https://md.research.elamur.ai/free/en/papers/que-2026-one-llm-does-not-simulate/)** *(2026)* LLM-based student simulators usually use one strong model to stand in for every learner. The authors show this creates an ability-dependent distortion. Powerful models tend to answer correctly where weak students would fail. Small models lack the knowledge to imitate strong students. So simulations inflate low… ## All works 11 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Neural Cognitive Diagnosis for Intelligent Education Systems ↗](https://doi.org/10.1609/aaai.v34i04.6080) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Fei Wang et al.*2020 · 322 citations* 2. **[RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems ↗](https://doi.org/10.1145/3404835.3462932) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Weibo Gao et al.*2021 · 184 citations* 3. **[Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective ↗](https://doi.org/10.1609/aaai.v33i01.33011052) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Chengqiang Lu et al.*2019 · 178 citations* 4. **[Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process ↗](https://doi.org/10.1145/3397271.3401288) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Shuanghong Shen et al.*2020 · 150 citations* 5. **[Question Difficulty Prediction for READING Problems in Standard Tests ↗](https://doi.org/10.1609/aaai.v31i1.10740) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhenya Huang et al.*2017 · 135 citations* 6. **[HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem ↗](https://doi.org/10.1609/aaai.v35i5.16547) AAAI 2021 · no summary yet**Xin Lin et al.*2021 · 77 citations* 7. **[Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education ↗](https://doi.org/10.1609/aaai.v36i4.20399) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yan Zhuang et al.*2022 · 64 citations* 8. **[Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification ↗](https://arxiv.org/abs/2205.08772) arXiv:2205.08772 · no summary yet**Kai Zhang et al.*2022 · 17 citations* 9. **[SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?](https://md.research.elamur.ai/free/en/papers/sun-2026-swe-mutation-can-llms-generate/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Sun, Yuze Zhao, Yufeng Wang, et al.*2026 · 1 citation* 10. **[One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment](https://md.research.elamur.ai/free/en/papers/que-2026-one-llm-does-not-simulate/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Huixing Que, Qi Liu, Weibo Gao, et al.*2026* 11. **[Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ↗](https://aclanthology.org/2026.acl-long.1390/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zheng Zhang et al.*2026* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) - [Mengdi Zhang](https://md.research.elamur.ai/free/en/authors/mengdi-zhang/) - [Qi Liu](https://md.research.elamur.ai/free/en/authors/qi-liu/) - [Yuxuan Sun](https://md.research.elamur.ai/free/en/authors/yuxuan-sun/) - [Zhiyuan Ma](https://md.research.elamur.ai/free/en/authors/zhiyuan-ma/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the AAAI Conference on Artificial Intelligence ×4 - [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 - International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2 - AAAI 2021 - Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 70 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhenya-huang/cited-by/). Updated 1 November 2026