Maonan Wang

According to our database, Maonan Wang authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments.

Maonan Wang, Aoyu Pang, Yuheng Kan, Man-On Pun, Chung Shue Chen, Bo Huang

CoRR, 2024

2023

UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control.

Maonan Wang, Xi Xiong, Yuheng Kan, Chengcheng Xu, Man-On Pun

CoRR, 2023

An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks.

Xi Xiong, Maonan Wang, Dengfeng Sun, Li Jin

CoRR, 2023

Reinforcement Learning-based Traffic Signal Control Using Delayed Observations for V2X.

Aoyu Pang, Zixiao Xu, Maonan Wang, Man-On Pun, Yuheng Kan

Proceedings of the IEEE International Conference on Communications, 2023

2022

Frequency offset estimation based on a combination of FFT and CZT for DP-QDB coherent receiver.

Chun Chang, Maonan Wang, Zhengguang Xu, Tiezhou Wu

Evol. Intell., 2022

ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning.

Maonan Wang, Yutong Xu, Xi Xiong, Yuheng Kan, Chengcheng Xu, Man-On Pun

CoRR, 2022

2021

Adaptive Coordinated Traffic Control for Arterial Intersections based on Reinforcement Learning.

Zian Ma, Chengcheng Xu, Yuheng Kan, Maonan Wang, Wei Wu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Adversarial Text Generation for Personality Privacy Protection.

Zhe Wang, Kangfeng Zheng, Qingbiao Li, Maonan Wang, Xiujuan Wang

Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021

CENTIME: A Direct Comprehensive Traffic Features Extraction for Encrypted Traffic Classification.

Maonan Wang, Kangfeng Zheng, Xinyi Ning, Yanqing Yang, Xiujuan Wang

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020

An Explainable Machine Learning Framework for Intrusion Detection Systems.

Maonan Wang, Kangfeng Zheng, Yanqing Yang, Xiujuan Wang

IEEE Access, 2020