--- title: "Tongliang Liu — author profile and papers — Elamur Research" description: "Tongliang Liu, The University of Sydney: 2 papers on Elamur Research (2023–2024), h-index 60 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/tongliang-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tongliang-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tongliang Liu # Tongliang Liu Tongliang Liu has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/), [Bo Han](https://md.research.elamur.ai/free/en/authors/bo-han/), [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5065250332) · [ORCID](https://orcid.org/0000-0002-9640-6472) · [Wikidata](https://www.wikidata.org/wiki/Q102444224) · [**h-index 60**](https://openalex.org/authors/A5065250332) · [422 works](https://openalex.org/works?filter=author.id:A5065250332) · [12,864 citations](https://openalex.org/works?filter=author.id:A5065250332&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tongliang-liu/#papers) · [🔗 Cited 174 times in our library](https://md.research.elamur.ai/free/en/authors/tongliang-liu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4662](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4662) 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=Tongliang+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tongliang+Liu) · [dblp](https://dblp.org/search?q=Tongliang+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Tongliang+Liu) ## Affiliations [🎓**The University of Sydney** Sydney · Australia 2017–2026 · 348 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · [🎓**Mohamed bin Zayed University of Artificial Intelligence** Abu Dhabi · United Arab Emirates 2023–2026 · 30 papers*current*](https://md.research.elamur.ai/free/en/universities/mohamed-bin-zayed-university-of-artificial-intelligence/) · [🎓**University of Technology Sydney** Sydney · Australia 2014–2021 · 30 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-technology-sydney/) · [🎓**The University of Melbourne** Melbourne · Australia 2021–2026 · 12 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2023–2026 · 6 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**RIKEN** Wako · Japan 2021–2025 · 5 papers](https://md.research.elamur.ai/free/en/labs/riken/) · [🎓**Hong Kong Baptist University** Hong Kong · Hong Kong 2020–2024 · 4 papers](https://ror.org/0145fw131) · [🔬**Institute of Information Engineering** Beijing · China 2023–2026 · 3 papers](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🔬**RIKEN Center for Advanced Intelligence Project** Tokyo · Japan 2021–2025 · 3 papers](https://md.research.elamur.ai/free/en/labs/riken-center-for-advanced-intelligence-project/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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. 📚 Shelves 4 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/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2024** 1 paper Tongliang Liu's papers of 2024](https://md.research.elamur.ai/free/en/papers/li-2024-one-shot-learning-as-instruction/) · [**2023** 1 paper Tongliang Liu's papers of 2023](https://md.research.elamur.ai/free/en/papers/li-2023-deepinception-hypnotize-large-language-model/) ## Papers The most cited first (OpenAlex and our library). 1. **[DeepInception: Hypnotize Large Language Model to Be Jailbreaker](https://md.research.elamur.ai/free/en/papers/li-2023-deepinception-hypnotize-large-language-model/)** *(2023 · 138 citations)* Safety-aligned LLMs can still be manipulated into producing harmful output. However, many existing jailbreaks depend on white-box optimization or expensive prompt search, and models usually refuse requests that state malicious intent openly. The authors propose DeepInception, a training-free, black-box attack… 2. **[One-Shot Learning as Instruction Data Prospector for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-one-shot-learning-as-instruction/)** *(2024 · 61 citations)* Instruction tuning datasets keep growing, but larger collections often carry noisy examples, and choosing good subsets usually depends on costly trial-and-error. ## All works 3 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. [**DeepInception: Hypnotize Large Language Model to Be Jailbreaker arXiv:2311.03191**Xuan Li, Zhanke Zhou, Jianing Zhu, et al.*2023 · 138 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-deepinception-hypnotize-large-language-model/) 2. **[One-Shot Learning as Instruction Data Prospector for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-one-shot-learning-as-instruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.*2024 · 61 citations* 3. **[MedDCR: Learning to Design Agentic Workflows for Medical Coding ↗](https://aclanthology.org/2026.findings-acl.627/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Jiyang Zheng et al.*2026 · 2 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/) - [Bo Han](https://md.research.elamur.ai/free/en/authors/bo-han/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Jiaxi Yang](https://md.research.elamur.ai/free/en/authors/jiaxi-yang/) - [Lei Zhang](https://md.research.elamur.ai/free/en/authors/lei-zhang/) - [Min Yang](https://md.research.elamur.ai/free/en/authors/min-yang/) - [Yongbin Li](https://md.research.elamur.ai/free/en/authors/yongbin-li/) - [Yunshui Li](https://md.research.elamur.ai/free/en/authors/yunshui-li/) ## 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/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 174 times (of the 141,840 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tongliang-liu/cited-by/). Updated 24 October 2026