🧑‍🔬 Zhuo Chen

🏛️ Affiliations

🏛️Commonwealth Scientific and Industrial Research OrganisationCanberra · Australia2007–2025 · 98 paperscurrent🔬Data61Sydney · Australia2016–2025 · 41 paperscurrent🎓University of Science and Technology of ChinaHefei · China2024–2025 · 2 paperscurrent🏢ByteDanceBeijing · China2025 · 1 papercurrent🔬China Electric Power Research InstituteBeijing2025 · 1 papercurrent🏛️State Administration for Market RegulationBeijing · China2025 · 1 papercurrent🏢MicrosoftRedmond · United States2017–2024 · 50 papers🔬Information and Communication Technologies CentreSydney · Australia2007–2014 · 46 papers🎓The University of SydneySydney · Australia2002–2006 · 10 papers🎓Carnegie Mellon UniversityPittsburgh · United States2014–2018 · 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 42 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (2023 · 333 citations)
   Zero-shot text-to-speech means reproducing a voice the system never saw during training. Earlier approaches relied on speaker adaptation or dedicated speaker encoders. Models trained on small, studio-clean corpora tend to generalize poorly to new speakers.
2. Seed-TTS: A Family of High-Quality Versatile Speech Generation Models (2024 · 69 citations)
   ByteDance's Seed Team presents Seed-TTS, a family of large text-to-speech models. The goal is to clone any speaker's voice from a brief reference recording, producing output that listeners cannot tell apart from real human recordings. The main system has four components. A speech tokenizer feeds an autoregressive…
3. A Comprehensive Survey on Long Context Language Modeling (2025 · 64 citations)
   Language models that can read very long inputs, such as whole books, extended dialogues or large codebases, are now common.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Neural Codec Language Models are Zero-Shot Text to Speech SynthesizersChengyi Wang, Sanyuan Chen, Yu Wu, et al.arXiv:2301.02111 · 333 citations
2. Seed-TTS: A Family of High-Quality Versatile Speech Generation ModelsPhilip Anastassiou, Jiawei Chen, Jitong Chen, et al.arXiv:2406.02430 · 69 citations
3. A Comprehensive Survey on Long Context Language ModelingJiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.arXiv:2503.17407 · 64 citations
4. Modeling and Reasoning in Event Calculus using Goal-Directed Constraint Answer Set Programming · original ↗ · no summary yet · arXiv:2106.14566Joaquín Arias et al.2021 · 14 citations

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Chenchen Zhang
• Chengyi Wang
• Dawei Zhu
• Ge Zhang
• Haoran Que
• Jiaheng Liu
• Jiawei Chen
• Long Zhou
• Shujie Liu
• Yancheng He
• Yu Wu
• Yuanxing Zhang

🔗 Cited by

Papers of our library cite their works 297 times (of the 141,840 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated 24 October 2026

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