--- title: "Qi Qi — author profile and papers — Elamur Research" description: "Qi Qi, Beijing University of Posts and Telecommunications: 2 papers on Elamur Research (2025–2026), h-index 31 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/qi-qi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qi-qi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qi Qi # Qi Qi Qi Qi has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Cong Liu](https://md.research.elamur.ai/free/en/authors/cong-liu/), [Haifeng Sun](https://md.research.elamur.ai/free/en/authors/haifeng-sun/), [Jianxin Liao](https://md.research.elamur.ai/free/en/authors/jianxin-liao/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100406584) · [ORCID](https://orcid.org/0000-0003-0829-4624) · [Wikidata](https://www.wikidata.org/wiki/Q130800135) · [**h-index 31**](https://openalex.org/authors/A5100406584) · [361 works](https://openalex.org/works?filter=author.id:A5100406584) · [4,470 citations](https://openalex.org/works?filter=author.id:A5100406584&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qi-qi/#papers) · [🔗 Cited 58 times in our library](https://md.research.elamur.ai/free/en/authors/qi-qi/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9635](https://md.research.elamur.ai/free/en/paper-stars/page/97/#star-9635) 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=Qi+Qi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qi+Qi) · [dblp](https://dblp.org/search?q=Qi+Qi) · [ACL Anthology](https://aclanthology.org/search/?q=Qi+Qi) ## Affiliations [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2008–2026 · 321 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🔬**State Key Laboratory of Networking and Switching Technology** Beijing · China 2008–2026 · 258 papers*current*](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-networking-and-switching-technology/) · [🎓**Harbin Engineering University** Harbin · China 2023–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-engineering-university/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Tsinghua University** Beijing · China 2021–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/qi-qi/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/qi-qi/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-qcrd-quality-guided-contrastive-rationale/)** *(2025 · 13 citations)* QCRD addresses a gap in chain-of-thought distillation. Earlier approaches such as Distilling Step-by-Step (DSS) treat a single teacher-generated rationale as ground truth. This means teacher mistakes are passed to the student, and incorrect reasoning is never used as a learning signal. QCRD keeps the DSS multi-task… 2. **[ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/liu-2026-modularmoe-fast-llm-customization-parameter/)** *(2026)* Running large language models on modest hardware is costly. Current customization routes either compress and fine-tune separately for every target task, which is expensive, or tune once on general data, which tends to hurt task-level quality through interference and forgetting. ModularMoE addresses this by turning an… ## All works 4 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. **[Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis ↗](https://aclanthology.org/2020.acl-main.370/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Chunning Du et al.*2020 · 203 citations* 2. **[Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification ↗](https://aclanthology.org/D19-1551/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Chunning Du et al.*2019 · 94 citations* 3. **[QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-qcrd-quality-guided-contrastive-rationale/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Wang, Zhaowei Li, Qi Xu, et al.*2025 · 13 citations* 4. **[ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/liu-2026-modularmoe-fast-llm-customization-parameter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaxing Liu, Qi Qi, Haifeng Sun, et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Cong Liu](https://md.research.elamur.ai/free/en/authors/cong-liu/) - [Haifeng Sun](https://md.research.elamur.ai/free/en/authors/haifeng-sun/) - [Jianxin Liao](https://md.research.elamur.ai/free/en/authors/jianxin-liao/) - [Jiaxing Liu](https://md.research.elamur.ai/free/en/authors/jiaxing-liu/) - [Jingyu Wang](https://md.research.elamur.ai/free/en/authors/jingyu-wang/) - [Li Xiao](https://md.research.elamur.ai/free/en/authors/li-xiao/) - [Tao Wang](https://md.research.elamur.ai/free/en/authors/tao-wang/) - [Wei Wang](https://md.research.elamur.ai/free/en/authors/wei-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) - Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ## Cited by Papers of our library cite their works 58 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/qi-qi/cited-by/). Updated 1 November 2026