--- title: "Ziqing Wang · Peking University — author profile and papers" description: "Ziqing Wang, Peking University: 4 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/ziqing-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ziqing-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ziqing Wang # Ziqing Wang Ziqing Wang has 4 papers in our library, in 2025–2026, 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/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Shengpeng Ji](https://md.research.elamur.ai/free/en/authors/shengpeng-ji/), [Yifu Chen](https://md.research.elamur.ai/free/en/authors/yifu-chen/), [Zhou Zhao](https://md.research.elamur.ai/free/en/authors/zhou-zhao/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139779833) · [**h-index 0**](https://openalex.org/authors/A5139779833) · [4 works](https://openalex.org/works?filter=author.id:A5139779833) · [0 citations](https://openalex.org/works?filter=author.id:A5139779833&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/ziqing-wang/#papers) · [🔗 Cited 24 times in our library](https://md.research.elamur.ai/free/en/authors/ziqing-wang/cited-by/) · [⭐ Paper Stars ranking: #9537](https://md.research.elamur.ai/free/en/paper-stars/page/96/#star-9537) 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=Ziqing+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ziqing+Wang) · [dblp](https://dblp.org/search?q=Ziqing+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Ziqing+Wang) ## Affiliations [🎓**Beijing University of Technology** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-technology/) · [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) 🧭 Topics 5 Research subjects and languages the work is about.[Dialogue systems · 2 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/ziqing-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/ziqing-wang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models](https://md.research.elamur.ai/free/en/papers/chen-2025-wavrag-audio-integrated-retrieval-augmented/)** *(2025 · 22 citations)* Most retrieval-augmented generation (RAG) systems assume text input, so spoken dialogue models usually reach them through a cascaded ASR step. 2. **[A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-survey-large-language-models-text/)** *(2026 · 7 citations)* This survey reviews how large language models are used to design molecules from text instructions. It covers two tasks: generating new molecules from scratch and editing an existing molecule to improve its properties. The authors limit the scope to models with over 1B parameters that directly output molecular… 3. **[Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models](https://md.research.elamur.ai/free/en/papers/chen-2026-dual-axis-generative-reward-model/)** *(2026 · 4 citations)* Full-duplex spoken dialogue models (SDMs) must decide both what to say and when to say it. Reinforcement learning could improve this, but current automatic metrics make poor rewards. Timing-oracle proxies, event counts and metric suites each capture only part of interaction quality, and human ratings are expensive… 4. **[Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-soft-orthogonal-low-rank-adaptation/)** *(2026)* The paper addresses continual learning (CL) for large language models. Full retraining is too costly at this scale, and most existing CL methods focus only on preventing catastrophic forgetting, without exploiting knowledge that tasks could share. The authors first observe that better-performing CL models produce… ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Shengpeng Ji](https://md.research.elamur.ai/free/en/authors/shengpeng-ji/) ×2 - [Yifu Chen](https://md.research.elamur.ai/free/en/authors/yifu-chen/) ×2 - [Zhou Zhao](https://md.research.elamur.ai/free/en/authors/zhou-zhao/) ×2 - [Han Liu](https://md.research.elamur.ai/free/en/authors/han-liu/) - [Jin Xu](https://md.research.elamur.ai/free/en/authors/jin-xu/) - [Jinzheng He](https://md.research.elamur.ai/free/en/authors/jinzheng-he/) - [Junlan Feng](https://md.research.elamur.ai/free/en/authors/junlan-feng/) - [Kaize Ding](https://md.research.elamur.ai/free/en/authors/kaize-ding/) - [Kexin Zhang](https://md.research.elamur.ai/free/en/authors/kexin-zhang/) - [Lijun Mei](https://md.research.elamur.ai/free/en/authors/lijun-mei/) - [Qian Chen](https://md.research.elamur.ai/free/en/authors/qian-chen/) - [Qian Hu](https://md.research.elamur.ai/free/en/authors/qian-hu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) ×3, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 24 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ziqing-wang/cited-by/). Updated 1 November 2026