Cognitive Radio Prototyping. - Peter Jung 002; Alexander Vießmann; Christoph Spiegel 001; Admir Burnic; Zijian Bai; Guido Horst Bruck; Konstantin Statnikov; Andreas Waadt; Shangbo Wang; Xavier Popon; Rafael Rodriguez Velilla; Harri Saarnisaari; et al. (CrownCom, 2008)

System implementation study on RSSI based positioning in UWB networks. - Shangbo Wang; Andreas Waadt; Admir Burnic; Dong Xu 012; Christian Kocks; Guido Horst Bruck; Peter Jung 002 (ISWCS, 2010)

Positioning in multiband OFDM UWB utilizing received signal strength. - Andreas Waadt; Shangbo Wang; Christian Kocks; Admir Burnic; Dong Xu 012; Guido Horst Bruck; Peter Jung 002 (WPNC, 2010)

STARIMA-based traffic prediction with time-varying lags. - Peibo Duan; Guoqiang Mao; Changsheng Zhang 001; Shangbo Wang (ITSC, 2016)

STARIMA-based Traffic Prediction with Time-varying Lags. - Peibo Duan; Guoqiang Mao; Shangbo Wang; Changsheng Zhang 001; Bin Zhang 001 (CoRR, 2017)

A Unified STARIMA based Model for Short-term Traffic Flow Prediction. - Peibo Duan; Guoqiang Mao; Wenwei Yue; Shangbo Wang (ITSC, 2018)

Spatio-temporal traffic flow estimation and optimum control in sensor-equipped road networks - Shangbo Wang (2018)

MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor. - Yimeng Feng; Guoqiang Mao; Bo Cheng 001; Baoqi Huang; Shangbo Wang; Junliang Chen 001 (ITSC, 2019)

Missing Data Estimation for Traffic Volume by Searching an Optimum Closed Cut in Urban Networks. - Shangbo Wang; Guoqiang Mao (IEEE Trans. Intell. Transp. Syst., 2019)

Joint Time-of-Arrival Estimation for Coherent UWB Ranging in Multipath Environment With Multi-User Interference. - Shangbo Wang; Guoqiang Mao; J. Andrew Zhang (IEEE Trans. Signal Process., 2019)

Network Capacity Maximization Using Route Choice and Signal Control With Multiple OD Pairs. - Shangbo Wang; Changle Li; Wenwei Yue; Guoqiang Mao (IEEE Trans. Intell. Transp. Syst., 2020)

Fundamental Limits of Missing Traffic Data Estimation in Urban Networks. - Shangbo Wang; Guoqiang Mao (IEEE Trans. Intell. Transp. Syst., 2020)

Towards Enhanced Recovery and System Stability: Analytical Solutions for Dynamic Incident Effects in Road Networks. - Wenwei Yue; Changle Li; Shangbo Wang; Zhigang Xu 001; Guoqiang Mao (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Hybrid Car-Following Model Combining Kinetic Dynamics and Deep Learning Networks. - Pan Han; Dongyao Jia; Jie Sun; Shangbo Wang (ICITE, 2023)

Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach. - Yuli Zhang; Shangbo Wang; Xiaoguang Ma; Wenwei Yue; Ruiyuan Jiang (ITSC, 2023)

A Joint Traffic Flow Estimation and Prediction Approach for Urban Networks. - Ruiyuan Jiang; Shangbo Wang; Yuli Zhang; Valerio Selis (PerCom Workshops, 2023)

A Novel Multi-Agent Deep RL Approach for Traffic Signal Control. - Shijie Wang 002; Shangbo Wang (PerCom Workshops, 2023)

A Coupling Approach to Demand Prediction and Repositioning in SAV Systems. - Yang Jin; Dongyao Jia; Yechao She; Meng Xu 009; Shangbo Wang; Jianping Wang 001 (VTC Fall, 2023)

Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach. - Yuli Zhang; Shangbo Wang; Ruiyuan Jiang (CoRR, 2023)

A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction. - Ruiyuan Jiang; Shangbo Wang; Yuli Zhang (CoRR, 2023)

Large-Scale Regional Traffic Signal Control Using Dynamic Deep Reinforcement Learning. - Hankang Gu; Shangbo Wang (CoRR, 2023)

Engineering Traffic Prediction With Online Data Imputation: A Graph-Theoretic Perspective. - Wenwei Yue; Di Zhou; Shangbo Wang; Peibo Duan (IEEE Syst. J., 2023)

Cooperative Incident Management in Mixed Traffic of CAVs and Human-Driven Vehicles. - Wenwei Yue; Changle Li; Shangbo Wang; Nan Xue 005; Jiaming Wu (IEEE Trans. Intell. Transp. Syst., 2023)

A Novel Feature-Sharing Auto-Regressive Neural Network for Enhanced Car-Following Model Calibration. - Chengming Wang; Dongyao Jia; Zuduo Zheng; Wei Wang 077; Shangbo Wang (ITSC, 2024)

Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning. - Hankang Gu; Shangbo Wang; Xiaoguang Ma; Dongyao Jia; Guoqiang Mao; Eng Gee Lim; Cheuk Pong Ryan Wong (IEEE Trans. Intell. Transp. Syst., 2024)

A knowledge-informed dynamic correlation modeling framework for lane-level traffic flow prediction. - Ruiyuan Jiang; Shangbo Wang; Wei Ma; Yuli Zhang; Pengfei Fan; Dongyao Jia (Inf. Fusion, 2025)

DRL-GCNet: A Deep Reinforcement Learning and Graph Convolutional Network for Harmonic Drive Fault Diagnosis. - Zhenrui Wu; Zhuo Long; Chunbo Luo; Shangbo Wang; Xiaoguang Ma (IEEE Trans. Instrum. Meas., 2025)

Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control. - Yuli Zhang; Shangbo Wang; Dongyao Jia; Pengfei Fan; Ruiyuan Jiang; Hankang Gu; Andy H. F. Chow (CoRR, 2025)

RSA-fusion: radar spatial attention fusion for object detection and classification. - Boxun Feng; Baojiang Li; Shangbo Wang; Ningwei Ouyang; Wei Dai (Multim. Tools Appl., 2025)

An Adaptive Prediction Model for Randomly Distributed Traffic Data in Urban Road Networks. - Ruiyuan Jiang; Shangbo Wang; Dongyao Jia; Guoqiang Mao; Eng Gee Lim (IEEE Trans. Veh. Technol., 2025)

Integrating Vehicle Acoustic Data for Enhanced Urban Traffic Management: A Study on Speed Classification in Suzhou. - Pengfei Fan; Yuli Zhang; Xinheng Wang; Ruiyuan Jiang; Hankang Gu; Dongyao Jia; Shangbo Wang (CoRR, 2025)

A Joint Topology-Data Fusion Graph Network for Robust Traffic Speed Prediction with Data Anomalism. - Ruiyuan Jiang; Dongyao Jia; Eng Gee Lim; Pengfei Fan; Yuli Zhang; Shangbo Wang (CoRR, 2025)

Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control. - Hankang Gu; Shangbo Wang; Dongyao Jia; Yuli Zhang; Yanrong Luo; Guoqiang Mao; Jianping Wang 001; Eng Gee Lim (IEEE Trans. Intell. Transp. Syst., 2025)

A novel hybrid macroscopic fundamental diagram-informed deep learning method for lane-level traffic prediction. - Ruiyuan Jiang; Shangbo Wang; Bingyi Liu; Yuli Zhang; Pengfei Fan; Dongyao Jia (Inf. Fusion, 2026)