Jie Liu
- Researcher, Institute of Software, Chinese Academy of Sciences (CAS)
- Master's Supervisor and Professor, University of Chinese Academy of Sciences (UCAS)
- Member, Youth Innovation Promotion Association of CAS
- Executive Member, System Software Professional Committee, China Computer Federation (CCF)
Research Areas
Big Data Intelligent Analysis Models and Systems
(Interdisciplinary direction of AI, Software Engineering, and System Software)
1. Research Areas
Big Data and Machine Learning Systems: Statistical and AI algorithm model libraries, data quantification and analysis tools, LLM inference optimization, and Earth big data.
Intelligent Software Engineering: Constraint-aware code LLMs, data science agents, and system log analysis agents.
Knowledge-Enhanced Intelligent Model Construction: Knowledge extraction, knowledge graph building, and domain-specific AI model design.
Major Work
EarthDataMiner Platform Development
Under the support of the CAS Class-A Strategic Priority Program “Big Earth Data Science Engineering”, led the development of EarthDataMiner, achieving breakthroughs in large-scale remote sensing image distributed computing and interactive cloud-based analysis. The platform enables end-to-end online computation of SDG indicators.
Awards:
2024 Beijing Science and Technology Progress Award (First Prize)
2023 Chinese Society for Geodesy, Photogrammetry and Cartography – Science and Technology Progress Award (Special Prize)
RISC-V Fundamental Software Research
Supported by the CAS Class-A Strategic Priority Program “RISC-V Fundamental Software”, conducted research on LLM-based RISC-V software package migration, integrated into the Ruiqian tool: https://rvpt.top/.
Knowledge-Driven Intelligent Model Design
Proposed a knowledge-driven intelligent model design framework, applied across domains such as consulting, healthcare, intelligent devices, civil aviation, law, and geoscience.
Research Leadership
Principal Investigator of two National Natural Science Foundation of China (NSFC) projects, one National Key R&D Program subproject, one Key Fund project, and over ten additional research projects.
Industry Collaboration
Led multiple collaborative projects with Huawei, JD.com, China Aviation Information, CASIC, CASC, and AVIC.
Academic Achievements
Authored over 50 papers and 10 invention patents.
Supervised graduate students who have won multiple awards in big data competitions.
Academic Service
Reviewer for the National Natural Science Foundation of China; reviewer for Journal of Computer Research and Development and Journal of Software; Program Committee member or reviewer for several international conferences.
Teaching
Lecturer of the graduate-level course “Machine Learning Systems” at the University of Chinese Academy of Sciences.
Recent Highlights
Sep 2025: Paper “Segment Policy Optimization: Improved Credit Assignment in Reinforcement Learning” accepted by NeurIPS 2025, proposing an enhancement to the GRPO algorithm for DeepSeek R1 through segment-level RL.
Aug 2025: Paper “Root Cause Analysis of RISC-V Build Failures via LLM and MCTS Reasoning” accepted by ASE 2025 (CCF-A).
Mar 2025: Participated in “Key Technologies and Applications for Big Earth Data Evaluation of the Sustainable Development Goals”, winner of the 2024 Beijing Science and Technology Progress Award (First Prize).
Aug 2024: Paper “Dynamic Scoring Code Token Tree: A Novel Decoding Strategy for Generating High-Performance Code” accepted by ASE 2024 (CCF-A).
Sep 22, 2021: Featured in China Science Daily: “An Independently Developed Online Analysis Tool for Big Earth Data.”
Education
2004-09--2011-01 University of Science and Technology of China, Ph.D.
2000-09--2004-06 University of Science and Technology of China, Bachelor’s Degree
Experience
Work Experience
Oct 2024 – Present
Research Professor, Institute of Software, Chinese Academy of Sciences (ISCAS)Jul 2014 – Sep 2024
Associate Professor, Institute of Software, Chinese Academy of Sciences (ISCAS)Apr 2011 – Jun 2014
Assistant Professor, Institute of Software, Chinese Academy of Sciences (ISCAS)
Teaching Experience
Machine Learning Systems
Cloud Computing and Big Data Technologies and Systems
Introduction to Big Data Technologies
Honors & Distinctions
Beijing Science and Technology Progress Award, First Prize, Provincial Level, 2024
Surveying and Mapping Science and Technology Award, Special Prize, Ministerial Level, 2023
DASFAA Best Paper Runner-up Award, Second Prize, International, 2013