Maonan Wang

According to our database, Maonan Wang authored at least 20 papers between 2020 and 2025.

Collaborative distances:

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

2025

Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning Approach.

Yuejiao Xie, Maonan Wang, Di Zhou, Man-On Pun, Zhu Han

CoRR, July, 2025

VLMLight: Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning.

Maonan Wang, Yirong Chen, Aoyu Pang, Yuxin Cai, Chung Shue Chen, Yuheng Kan, Man-On Pun

CoRR, May, 2025

A Large Language Model-Enhanced Q-learning for Capacitated Vehicle Routing Problem with Time Windows.

Linjiang Cao, Maonan Wang, Xi Xiong

CoRR, May, 2025

CL-CoTNav: Closed-Loop Hierarchical Chain-of-Thought for Zero-Shot Object-Goal Navigation with Vision-Language Models.

Yuxin Cai, Xiangkun He, Maonan Wang, Hongliang Guo, Wei-Yun Yau, Chen Lv

CoRR, April, 2025

2024

Traffic Signal Cycle Control With Centralized Critic and Decentralized Actors Under Varying Intervention Frequencies.

Maonan Wang, Yirong Chen, Yuheng Kan, Chengcheng Xu, Michael D. Lepech, Man-On Pun, Xi Xiong

IEEE Trans. Intell. Transp. Syst., December, 2024

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

Xi Xiong, Maonan Wang, Dengfeng Sun, Li Jin

IEEE Trans. Intell. Transp. Syst., November, 2024

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

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

IEEE Trans. Veh. Technol., October, 2024

Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic.

Yuting Wang, Lu Liu, Maonan Wang, Xi Xiong

CoRR, 2024

iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement.

Aoyu Pang, Maonan Wang, Man-On Pun, Chung Shue Chen, Xi Xiong

CoRR, 2024

A Multi-Agent Rollout Approach for Highway Bottleneck Decongenston in Mixed Autonomy.

Lu Liu, Maonan Wang, Man-On Pun, Xi Xiong

CoRR, 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

A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy.

Lu Liu, Maonan Wang, Man-On Pun, Xi Xiong

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

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