Investigating Operational Benefits of Group-based Signal Control in Japan Through a Stochastic Approach. - Keshuang Tang; Hideki Nakamura (Int. J. Intell. Transp. Syst. Res., 2011)

Traffic sign detection based on cascaded convolutional neural networks. - Di Zang; Junqi Zhang; Dongdong Zhang; Maomao Bao; Jiujun Cheng; Keshuang Tang (SNPD, 2016)

Modeling Drivers' Dynamic Decision-Making Behavior During the Phase Transition Period: An Analytical Approach Based on Hidden Markov Model Theory. - Keshuang Tang; Shengfa Zhu; Yanqing Xu; Fen Wang (IEEE Trans. Intell. Transp. Syst., 2016)

A Hybrid Learning Algorithm for the Optimization of Convolutional Neural Network. - Di Zang; Jianping Ding; Jiujun Cheng; Dongdong Zhang; Keshuang Tang (ICIC (3), 2017)

Using Convolutional Neural Network with Asymmetrical Kernels to Predict Speed of Elevated Highway. - Di Zang; Jiawei Ling; Jiujun Cheng; Keshuang Tang; Xin Li (ICIS, 2017)

Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network. - Di Zang; Dehai Wang; Jiujun Cheng; Keshuang Tang; Xin Li (ICIS, 2017)

Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network. - Di Zang; Yang Fang; Dehai Wang; Zhihua Wei; Keshuang Tang; Xin Li (PRCV (2), 2018)

Deep learning-based traffic sign recognition for unmanned autonomous vehicles. - Di Zang; Zhihua Wei; Maomao Bao; Jiujun Cheng; Dongdong Zhang; Keshuang Tang; Xin Li (J. Syst. Control. Eng., 2018)

Traffic Flow Data Prediction Using Residual Deconvolution Based Deep Generative Network. - Di Zang; Yang Fang; Zhihua Wei; Keshuang Tang; Jiujun Cheng (IEEE Access, 2019)

Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network. - Di Zang; Jiawei Ling; Zhihua Wei; Keshuang Tang; Jiujun Cheng (IEEE Trans. Intell. Transp. Syst., 2019)

Fuzing license plate recognition data and vehicle trajectory data for lane-based queue length estimation at signalized intersections. - Chaopeng Tan; Lei Liu; Hao Wu; Yumin Cao; Keshuang Tang (J. Intell. Transp. Syst., 2020)

Sampled Trajectory Data-Driven Method of Cycle-Based Volume Estimation for Signalized Intersections by Hybridizing Shockwave Theory and Probability Distribution. - Jiarong Yao; Fuliang Li; Keshuang Tang; Jian Sun 010 (IEEE Trans. Intell. Transp. Syst., 2020)

Architecture Design and Key Technology Research of Urban Intelligent Transportation Integrated Control System Based on Edge Cloud Cooperation Technology. - Fenxin Zhang; Keshuang Tang; Huixin Zhang; Peng Zhang (CSAE, 2021)

Traffic Data Prediction with Geometric Algebra Convolutional Neural Network. - Di Zang; Xihao Chen; Keshuang Tang; Junqi Zhang; Bin Luo (ICCPR, 2021)

Dynamic origin-destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach. - Keshuang Tang; Yumin Cao; Can Chen; Jiarong Yao; Chaopeng Tan; Jian Sun 010 (Comput. Aided Civ. Infrastructure Eng., 2021)

Cycle-Based Queue Length Estimation for Signalized Intersections Using Sparse Vehicle Trajectory Data. - Chaopeng Tan; Jiarong Yao; Keshuang Tang; Jian Sun 010 (IEEE Trans. Intell. Transp. Syst., 2021)

Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network. - Di Zang; Yongjie Ding; Xiaoke Qu; Xihao Chen; Keshuang Tang; Junqi Zhang (ICBDC, 2022)

Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks. - Di Zang; Xiaoke Qu; Yongjie Ding; Xihao Chen; Keshuang Tang; Junqi Zhang (ICBDC, 2022)

Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network. - Di Zang; Yongjie Ding; Xiaoke Qu; Chenglin Miao; Xihao Chen; Junqi Zhang; Keshuang Tang (Sensors, 2022)

Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment. - Xuejian Chen; Juyuan Yin; Keshuang Tang; Ye Tian 002; Jian Sun 010 (IEEE Trans. Intell. Transp. Syst., 2022)

Cumulative Flow Diagram Estimation and Prediction Based on Sampled Vehicle Trajectories at Signalized Intersections. - Chaopeng Tan; Jiarong Yao; Xuegang Ban; Keshuang Tang (IEEE Trans. Intell. Transp. Syst., 2022)

Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models. - Keshuang Tang; Siqu Chen; Yumin Cao; Xiaosong Li; Di Zang; Jian Sun 010; Yangbeibei Ji (IEEE Trans. Intell. Transp. Syst., 2022)

Critical Path Identification for Network Signal Coordination Control Using Connected Vehicle Data Based on Analytic Hierarchy Process Method. - Jiarong Yao; Chaopeng Tan; Hao Wu; Yumin Cao; Keshuang Tang (ICARCV, 2024)

Intersection Dynamics-Aware Continuous Learning in Adaptive Traffic Signal Control Featuring Fast Startup and Adaptation. - Jialong Feng; Hong Zhu; Keshuang Tang; Tianyang Han; Zhixian Tang (ITSC, 2024)

Integrating Multi-Graph Convolutional Networks and Temporal-Aware Multi-Head Attention for Lane-Level Traffic Flow Prediction in Urban Networks. - Fengmei Sun; Hong Zhu; Keshuang Tang; Yingchang Xiong; Chaopeng Tan; Zhixian Tang (ITSC, 2024)

Predictive resilience assessment featuring diffusion reconstruction for road networks under rainfall disturbances. - Di Zang; Chenguang Wei; Jiayi Zhao; Junqi Zhang; Keshuang Tang; Hong Zhu (Eng. Appl. Artif. Intell., 2024)

Predictive resilience assessment of road networks based on dynamic multi-granularity graph neural network. - Di Zang; Yongjie Ding; Jiayi Zhao; Keshuang Tang; Hong Zhu (Neurocomputing, 2024)

Connected Vehicle Data-Driven Fixed-Time Traffic Signal Control Considering Cyclic Time-Dependent Vehicle Arrivals Based on Cumulative Flow Diagram. - Chaopeng Tan; Yumin Cao; Xuegang Ban; Keshuang Tang (IEEE Trans. Intell. Transp. Syst., 2024)

Dynamic origin-destination flow estimation for urban road network solely using probe vehicle trajectory data. - Yumin Cao; Jiarong Yao; Keshuang Tang; Qi Kang (J. Intell. Transp. Syst., 2024)

A Coordination Graph Based Framework for Network Traffic Signal Control. - Hong Zhu; Fengmei Sun; Keshuang Tang; Tianyang Han; Junping Xiang (IEEE Trans. Intell. Transp. Syst., 2024)

MGCL: Multiorder Graph Neural Network With Cross-Learning for Multivariate Time-Series Anomaly Detection. - Zhe Cui; Di Zang; Junqi Zhang; Keshuang Tang (IEEE Trans. Instrum. Meas., 2025)

Sharing Control Knowledge Among Heterogeneous Intersections: A Distributed Arterial Traffic Signal Coordination Method Using Multi-Agent Reinforcement Learning. - Hong Zhu; Jialong Feng; Fengmei Sun; Keshuang Tang; Di Zang; Qi Kang (IEEE Trans. Intell. Transp. Syst., 2025)

Privacy-Preserving Cycle-Based Arrival Profile Estimation Based on Cross-Company Connected Vehicles. - Chaopeng Tan; Jiarong Yao; Keshuang Tang; Jinhao Liang; Guodong Yin (IEEE Trans. Consumer Electron., 2025)

Cooperative Path Planning With Asynchronous Multiagent Reinforcement Learning. - Jiaming Yin; Weixiong Rao; Yu Xiao 001; Keshuang Tang (IEEE Trans. Mob. Comput., 2025)