Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning

no code implementations • 9 Apr 2024 • ZhiHao Lin, Wei Ma, Tao Lin, Yaowen Zheng, Jingquan Ge, Jun Wang, Jacques Klein, Tegawende Bissyande, Yang Liu, Li Li

We introduce a governance framework centered on federated learning (FL), designed to foster the joint development and maintenance of open-source AI code models while safeguarding data privacy and security.

Federated Learning

LMs: Understanding Code Syntax and Semantics for Code Analysis

no code implementations • 20 May 2023 • Wei Ma, Shangqing Liu, ZhiHao Lin, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, Li Li, Yang Liu

We break down the abilities needed for artificial intelligence~(AI) models to address SE tasks related to code analysis into three categories: 1) syntax understanding, 2) static behavior understanding, and 3) dynamic behavior understanding.

DynamicDet: A Unified Dynamic Architecture for Object Detection

1 code implementation • CVPR 2023 • ZhiHao Lin, Yongtao Wang, Jinhe Zhang, Xiaojie Chu

We also present a novel optimization strategy with an exiting criterion based on the detection losses for our dynamic detectors.

Computational Efficiency Object +1

Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction

no code implementations • 24 Feb 2022 • Shengzhe Wang, Ling Wang, ZhiHao Lin, Xi Zheng

We are the first to use the temporal convolution filters as the backbone to construct a domain adaptation network architecture which is suitable for deep learning regression models with very limited training data of the target domain.

Domain Adaptation