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Home/Authors/Fang Liu

Fang Liu

6 indexed papers

Recent (6 mo)
5
With code
0
Influential cites
0
Benchmarked
0

Publications per year

6
26

Top categories

Software Eng.×3AI×2Neural Computing×1Comp. Eng.×1Networking×1Vision×1NLP×1Crypto×1

Frequent co-authors

Li Zhang3×
Peiding Wang2×
Yinghao Zhu2×
Taichuan Li1×
Chao Wang1×
Lingling Li1×

Research Timeline

2026
ContraFix: Agentic Vulnerability Repair via Differential Runtime Evidence and Skill Reuse

ContraFix is an agentic framework that improves automated vulnerability repair by using differential runtime evidence to pinpoint the root cause of bugs, achieving state-of-the-art performance on major benchmarks.

EgoCS-400K: An Egocentric Gameplay Dataset for World Models

The paper introduces EgoCS-400K, a large-scale replay-grounded egocentric Counter-Strike dataset for world models.

Wireless Personal Agent: Extending Wireless Intelligence from Networks to Terminals

This paper proposes WISPA, a framework for automated terminal-side resource management in wireless networks based on large language model agents.

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems

This paper proposes Evolutionary Intelligence (EI) for scientific discovery, which links candidate refinement with experience retention across evolutionary cycles.

MRCoder: An Efficient Context Selecting Approach for Repository-Level Code Generation

This paper proposes MRCoder, an efficient context selection framework for repository-level code generation using a Map-Reduce paradigm.

CodeSpec: Dual Executable Specifications for Agentic Long-Horizon Feature Development

This paper proposes CodeSpec, a method for reliable feature development in repository-level software using dual executable specifications.

Highlighted terms show continued research focus across papers

Papers

cs.SEEmpiricalRecentJul 29, 2026

MRCoder: An Efficient Context Selecting Approach for Repository-Level Code Generation

Peiding Wang, Li Zhang, Fang Liu

This paper proposes MRCoder, an efficient context selection framework for repository-level code generation using a Map-Reduce paradigm.

View →
cs.SEEmpiricalRecent
Jul 29, 2026

CodeSpec: Dual Executable Specifications for Agentic Long-Horizon Feature Development

Peiding Wang, Li Zhang, Fang Liu, Taichuan Li +1 more

This paper proposes CodeSpec, a method for reliable feature development in repository-level software using dual executable specifications.

View →
cs.NEcs.AIcs.CESurveyRecentJul 10, 2026

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems

Chao Wang, Lingling Li, Fang Liu, Licheng Jiao

This paper proposes Evolutionary Intelligence (EI) for scientific discovery, which links candidate refinement with experience retention across evolutionary cycles.

View →
cs.NIEmpiricalRecentJun 22, 2026

Wireless Personal Agent: Extending Wireless Intelligence from Networks to Terminals

Jiedan Tan, Fang Liu, Jingwen Tong, Shengli Zhang +2 more

This paper proposes WISPA, a framework for automated terminal-side resource management in wireless networks based on large language model agents.

View →
cs.CVDatasetRecentJun 16, 2026

EgoCS-400K: An Egocentric Gameplay Dataset for World Models

Rongjin Guo, Dong Liang, Yuhao Liu, Fang Liu +3 more

The paper introduces EgoCS-400K, a large-scale replay-grounded egocentric Counter-Strike dataset for world models.

View →
cs.SEcs.AIcs.CLMay 17, 2026

ContraFix: Agentic Vulnerability Repair via Differential Runtime Evidence and Skill Reuse

Simiao Liu, Fang Liu, Li Zhang, Yang Liu +1 more

ContraFix is an agentic framework that improves automated vulnerability repair by using differential runtime evidence to pinpoint the root cause of bugs, achieving state-of-the-art performance on majo…

View →