no code implementations • 15 Jul 2024 • Xuhong Wang, Haoyu Jiang, Yi Yu, Jingru Yu, Yilun Lin, Ping Yi, Yingchun Wang, Yu Qiao, Li Li, Fei-Yue Wang
Large Language Models (LLMs) are increasingly integrated into diverse industries, posing substantial security risks due to unauthorized replication and misuse.
no code implementations • 6 Nov 2023 • Xi Chen, Wei Hu, Jingru Yu, Ding Wang, Shengyue Yao, Yilun Lin, Fei-Yue Wang
This paper introduces a novel approach, aiming to enable cities to evolve and respond more effectively to such dynamic demand.
no code implementations • 25 Jul 2023 • Shengyue Yao, Jingru Yu, Yi Yu, Jia Xu, Xingyuan Dai, Honghai Li, Fei-Yue Wang, Yilun Lin
Furthermore, an operation algorithm is proposed regarding the issue of structural rigidity in DAO.
no code implementations • 13 Jul 2023 • Wei Hu, Xuhong Wang, Ding Wang, Shengyue Yao, Zuqiu Mao, Li Li, Fei-Yue Wang, Yilun Lin
In the realm of software applications in the transportation industry, Domain-Specific Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various other benefits.
1 code implementation • 25 May 2023 • Ding Wang, Xuhong Wang, Liang Chen, Shengyue Yao, Ming Jing, Honghai Li, Li Li, Shiqiang Bao, Fei-Yue Wang, Yilun Lin
To the best of our knowledge, this is the first traffic simulator that can automatically learn traffic patterns from real-world data and efficiently generate accurate and realistic traffic environments.
no code implementations • 24 May 2023 • Xuhong Wang, Ding Wang, Liang Chen, Yilun Lin
This data-driven and model-free simulation method addresses the challenges faced by traditional systems in terms of structural complexity and model accuracy and provides a foundation for solving complex transportation problems with real data.
no code implementations • 23 Nov 2020 • Yilun Lin, Chaochao Chen, Cen Chen, Li Wang
Federated learning (FL) has attracted increasing attention in recent years.
no code implementations • 25 Apr 2020 • Sicong Du, Hengkai Guo, Yao Chen, Yilun Lin, Xiangbing Meng, Linfu Wen, Fei-Yue Wang
Initialization is essential to monocular Simultaneous Localization and Mapping (SLAM) problems.
1 code implementation • 6 Aug 2018 • Yilun Lin, Xingyuan Dai, Li Li, Fei-Yue Wang
Urban Traffic Control (UTC) plays an essential role in Intelligent Transportation System (ITS) but remains difficult.
no code implementations • 11 Jul 2017 • Xingyuan Dai, Rui Fu, Yilun Lin, Li Li, Fei-Yue Wang
Detrending based methods decompose original flow series into trend and residual series, in which trend describes the fixed temporal pattern in traffic flow and residual series is used for prediction.