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Ziqing Wang

Ziqing Wang has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Shengpeng Ji, Yifu Chen, Zhou Zhao.

4 papers in our library · 2025–2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #8335

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Beijing University of TechnologyBeijing · China2026 · 2 paperscurrent🎓Peking UniversityBeijing · China2026 · 1 papercurrent

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksMaterials Science · 1 workComputational Theory and Mathematics · 1 workMaterials Chemistry · 1 work

🧭 Topics 5Research subjects and languages the work is about.Dialogue systems · 2 worksLanguage models & pretraining · 2 worksInformation retrieval & search · 1 workSpeech & spoken language · 1 workEfficient models & compression · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models (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 (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 (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 (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 17 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 24 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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