64 citations · 263 across the 13 of their papers we have counts for
15 papers
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
Mingyue Zhang, Jialong Li, Haiyan Zhao +3
A self-learning adaptive system (SLAS) uses machine learning to enable and enhance its adaptability. Such systems are expected to perform well in dynamic situations. For learning h…
Modular Tree Network for Source Code Representation Learning
Wenhan Wang, Ge Li, Sijie Shen +2
Learning representation for source code is a foundation of many program analysis tasks. In recent years, neural networks have already shown success in this area, but most existing…
Massive Self-Assembly in Grid Environments
Wenjie Chu, Wei Zhang, Haiyan Zhao +2
Self-assembly plays an essential role in many natural processes, involving the formation and evolution of living or non-living structures, and shows potential applications in many…
Multi-task Learning based Pre-trained Language Model for Code Completion
Fang Liu, Ge Li, Yunfei Zhao +1
Code completion is one of the most useful features in the Integrated Development Environments (IDEs), which can accelerate software development by suggesting the next probable toke…
Retrieve and Refine: Exemplar-based Neural Comment Generation
Bolin Wei, Yongmin Li, Ge Li +2
Code comment generation which aims to automatically generate natural language descriptions for source code, is a crucial task in the field of automatic software development. Tradit…
Towards Full-line Code Completion with Neural Language Models
Wenhan Wang, Sijie Shen, Ge Li +1
A code completion system suggests future code elements to developers given a partially-complete code snippet. Code completion is one of the most useful features in Integrated Devel…