4 papers
Closed-Loop Hybrid Digital Twin Platform for Connected and Automated Vehicle Validation
Kanglong Quan, Zhebing Xia, Linfeng Jiang +4
Comprehensive and efficient validation of connected and automated vehicles (CAVs) is critical prior to real-world deployment. While simulation-based testing offers scalability, exi…
A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
Hankang Gu, Yuli Zhang, Chengming Wang +4
Deep reinforcement learning (DRL) has become a popular approach in traffic signal control (TSC) due to its ability to learn adaptive policies from complex traffic environments. Wit…
Mixture of Small and Large Models for Chinese Spelling Check
Ziheng Qiao, Houquan Zhou, Zhenghua Li
In the era of large language models (LLMs), the Chinese Spelling Check (CSC) task has seen various LLM methods developed, yet their performance remains unsatisfactory. In contrast,…
DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check
Ziheng Qiao, Houquan Zhou, Yumeng Liu +6
One key characteristic of the Chinese spelling check (CSC) task is that incorrect characters are usually similar to the correct ones in either phonetics or glyph. To accommodate th…