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Dugang Liu

Dugang Liu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Bin Yu, Erxue Min, Xu Chen.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 13 · 78 works · 682 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 8 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10544

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

🎓Shenzhen UniversityShenzhen · China2020–2026 · 59 papersEmployment since 2024 · Assistant Professor, College of Computer Science and Software Engineeringcurrent🎓University Town of ShenzhenShenzhen · China2026 · 2 paperscurrent🎓Shenzhen Technology UniversityShenzhen · China2026 · 1 papercurrent🔬Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen)Guangming District · China2022–2024 · 7 papers🎓Xiamen UniversityXiamen · China2018–2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Formally Specifying the Intended Behavior of the Program: LLM-Driven Neuro-Symbolic Program Specification Synthesis (2026 · 5 citations)
    Deductive verification can prove that C code meets its requirements, but only after someone writes formal annotations such as contracts and loop invariants.
  2. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement (2026)
    Zero-RL training with verifiable rewards wastes much of its compute on weaker base LLMs. With a fixed prompt template, many problems yield no correct rollout, so accuracy-based filtering discards them. Cog-Rethinker tackles this by adding two cognition-inspired rollout stages on top of a DAPO-style pipeline. Problems…

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. A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetDugang Liu et al.2020 · 194 citations
  2. Formally Specifying the Intended Behavior of the Program: LLM-Driven Neuro-Symbolic Program Specification SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Wen, Hu Junjie, YiKun Hu, et al.2026 · 5 citations
  3. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Zexu Sun, Yongcheng Zeng, Erxue Min, et al.2026

 Co-authors here

3 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 8 times (of the 149,439 papers whose bibliographies we read).

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/dugang-liu/