A Discrete State Transition Algorithm for Generalized Traveling Salesman Problem - Xiaolin Tang; Chunhua Yang 001; Xiaojun Zhou; Weihua Gui 001 (CoRR, 2013)

Vesicular Stomatitis Virus Polymerase's Strong Affinity to Its Template Suggests Exotic Transcription Models. - Xiaolin Tang; Mourad Bendjennat; Saveez Saffarian (PLoS Comput. Biol., 2014)

Video Classification Based on Spatial Gradient and Optical Flow Descriptors. - Xiaolin Tang; Abdesselam Bouzerdoum; Son Lam Phung (DICTA, 2015)

Cyber-Physical Control for Energy-Saving Vehicle Following With Connectivity. - Xiaosong Hu; Hong Wang 014; Xiaolin Tang (IEEE Trans. Ind. Electron., 2017)

Pooling-Based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation. - Xiaolin Tang; Son Lam Phung; Abdesselam Bouzerdoum; Van Ha Tang (ACCV (4), 2018)

A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability. - Chongchong Qi; Andy Fourie; Guowei Ma; Xiaolin Tang (Appl. Soft Comput., 2018)

Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study. - Chongchong Qi; Xiaolin Tang (Comput. Ind. Eng., 2018)

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability. - Chongchong Qi; Andy Fourie; Guowei Ma; Xiaolin Tang; Xuhao Du (J. Comput. Civ. Eng., 2018)

A Fast Learning Method for Accurate and Robust Lane Detection Using Two-Stage Feature Extraction with YOLO v3. - Xiang Zhang; Wei Yang 021; Xiaolin Tang; Jie Liu (Sensors, 2018)

Nonlinear Fractional-Order Estimator With Guaranteed Robustness and Stability for Lithium-Ion Batteries. - Changfu Zou; Xiaosong Hu; Satadru Dey; Lei Zhang 053; Xiaolin Tang (IEEE Trans. Ind. Electron., 2018)

Novel Torsional Vibration Modeling and Assessment of a Power-Split Hybrid Electric Vehicle Equipped With a Dual-Mass Flywheel. - Xiaolin Tang; Xiaosong Hu; Wei Yang 021; Haisheng Yu (IEEE Trans. Veh. Technol., 2018)

Noise and Torsional Vibration Analysis of Hybrid Vehicles - Xiaolin Tang; Yanjun Huang; Hong Wang 014; Yechen Qin (Morgan & Claypool Publishers, 2018)

Numerical and Experimental Investigations of Noise and Vibration Characteristics for a Dual-Motor Hybrid Electric Vehicle. - Chuan Hu; Xiaolin Tang; Liang Zou; Kai Yang 032; Yinong Li; Ling Zheng (IEEE Access, 2019)

Tooth Surface Contact Analysis of Involute Rotate Vector Reducer Based on a Finite Element Linear Programming Method. - Wei Yang 021; Xiaolin Tang; Qi Liang (IEEE Access, 2019)

Adaptive Hierarchical Energy Management Design for a Plug-In Hybrid Electric Vehicle. - Teng Liu; Xiaolin Tang; Hong Wang 014; Huilong Yu; Xiaosong Hu (IEEE Trans. Veh. Technol., 2019)

Real-Time Road Profile Identification and Monitoring: Theory and Application - Yechen Qin; Hong Wang 014; Yanjun Huang; Xiaolin Tang (Real-Time Road Profile Identification and Monitoring, 2019)

Research on Key Energy-Saving Technologies in Green Data Centers. - Xiaolei Chang; Shu Yang 002; Yong Jiang 001; Xiaonan Xie; Xiaolin Tang (SmartCloud, 2020)

Transfer Deep Reinforcement Learning-Enabled Energy Management Strategy for Hybrid Tracked Vehicle. - Xiaowei Guo; Teng Liu; Bangbei Tang; Xiaolin Tang; Jinwei Zhang; Wenhao Tan; Shufeng Jin (IEEE Access, 2020)

Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning. - Jiangdong Liao; Teng Liu; Xiaolin Tang; Xingyu Mu; Bing Huang; Dongpu Cao (IEEE Access, 2020)

Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition. - Teng Liu; Xiaolin Tang; Jiaxin Chen; Hong Wang; Wenhao Tan; Yalian Yang (CoRR, 2020)

Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study. - Teng Liu; Xingyu Mu; Xiaolin Tang; Bing Huang; Hong Wang 014; Dongpu Cao (CoRR, 2020)

Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment. - Teng Liu; Xiaolin Tang; Jinwei Zhang; Wenbo Li 003; Zejian Deng; Yalian Yang (CoRR, 2020)

Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences. - Teng Liu; Xiaolin Tang; Xiaosong Hu; Wenhao Tan; Jinwei Zhang (CoRR, 2020)

Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications. - Teng Liu; Xing Yang; Hong Wang 014; Xiaolin Tang; Long Chen 005; Huilong Yu; Fei-Yue Wang 001 (CoRR, 2020)

Driving Conditions-Driven Energy Management for Hybrid Electric Vehicles: A Review. - Teng Liu; Xiaolin Tang; Jinwei Zhang; Wenhao Tan; Yang Xing; Dongpu Cao (CoRR, 2020)

Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning. - Teng Liu; Wenhao Tan; Xiaolin Tang; Jiaxin Chen; Dongpu Cao (CoRR, 2020)

Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles. - Teng Liu; Bo Wang; Dongpu Cao; Xiaolin Tang; Yalian Yang (CoRR, 2020)

A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles. - Teng Liu; Bing Huang; Xingyu Mu; Fuqing Zhao; Xiaolin Tang; Dongpu Cao (CoRR, 2020)

Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning. - Feng Wang; Dongjie Shi; Teng Liu; Xiaolin Tang (CoRR, 2020)

Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon. - Hao Chen; Xiaolin Tang; Teng Liu (CoRR, 2020)

A Cloud-Edge Collaborative Intelligent Fault Diagnosis Method Based on LSTM-VAE Hybrid Model. - Shaofei Lu; Xiaolin Tang; Yajun Zhu; Jingke She (CSCloud/EdgeCom, 2021)

A Reliable Data Compression Scheme in Sensor-Cloud Systems Based on Edge Computing. - Shaofei Lu; Qinhua Xia; Xiaolin Tang; Xuyang Zhang; Yingping Lu; Jingke She (IEEE Access, 2021)

Test Scenarios Construction Based on Combinatorial Testing Strategy for Automated Vehicles. - Hong Shu; Haoran Lv; Kang Liu; Kang Yuan; Xiaolin Tang (IEEE Access, 2021)

TeaNet: Deep learning on Near-Infrared Spectroscopy (NIR) data for the assurance of tea quality. - Jingru Yang; Jin Wang 015; Guodong Lu; Shaomei Fei; Ting Yan; Cheng Zhang; Xiaohui Lu; Zhiyong Yu 003; Wencui Li; Xiaolin Tang (Comput. Electron. Agric., 2021)

Cyber-Physical-Social System for Parallel Driving: From Concept to Application. - Teng Liu; Yang Xing; Xiaolin Tang; Hong Wang 014; Huilong Yu; Fei-Yue Wang 001 (IEEE Intell. Transp. Syst. Mag., 2021)

Distributed Deep Reinforcement Learning-Based Energy and Emission Management Strategy for Hybrid Electric Vehicles. - Xiaolin Tang; Jiaxin Chen; Teng Liu; Yechen Qin; Dongpu Cao (IEEE Trans. Veh. Technol., 2021)

Improving Ride Comfort and Fuel Economy of Connected Hybrid Electric Vehicles Based on Traffic Signals and Real Road Information. - Xiaolin Tang; Ziwen Duan; Xiaosong Hu; Huayan Pu; Dongpu Cao; Xianke Lin (IEEE Trans. Veh. Technol., 2021)

On-Road Object Detection and Tracking Based on Radar and Vision Fusion: A Review. - Xiaolin Tang; Zhiqiang Zhang; Yechen Qin (IEEE Intell. Transp. Syst. Mag., 2022)

Survey on Image and Point-Cloud Fusion-Based Object Detection in Autonomous Vehicles. - Ying Peng; Yechen Qin; Xiaolin Tang; Zhiqiang Zhang; Lei Deng (IEEE Trans. Intell. Transp. Syst., 2022)

Q-Learning-Based Supervisory Control Adaptability Investigation for Hybrid Electric Vehicles. - Bin Xu; Xiaolin Tang; Xiaosong Hu; Xianke Lin; Huayi Li; Dhruvang Rathod; Zhe Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Prediction-Uncertainty-Aware Decision-Making for Autonomous Vehicles. - Xiaolin Tang; Kai Yang 032; Hong Wang 014; Jiahang Wu; Yechen Qin; Wenhao Yu 006; Dongpu Cao (IEEE Trans. Intell. Veh., 2022)

Highway Decision-Making and Motion Planning for Autonomous Driving via Soft Actor-Critic. - Xiaolin Tang; Bing Huang; Teng Liu; Xianke Lin (IEEE Trans. Veh. Technol., 2022)

Multi-Objective Design Optimization of a Novel Dual-Mode Power-Split Hybrid Powertrain. - Xiaolin Tang; Jieming Zhang; Xiangyang Cui; Xianke Lin; Lech Marian Grzesiak; Xiaosong Hu (IEEE Trans. Veh. Technol., 2022)

An Improved YOLOv5 Algorithm for Vulnerable Road User Detection. - Wei Yang 047; Xiaolin Tang; Kongming Jiang; Yang Fu; Xinling Zhang (Sensors, 2023)

Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections. - Xiaolin Tang; Guichuan Zhong; Shen Li 001; Kai Yang 032; Keqi Shu; Dongpu Cao; Xianke Lin (IEEE Trans. Intell. Transp. Syst., 2023)

Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives. - Kai Yang 032; Xiaolin Tang; Jun Li 082; Hong Wang 014; Guichuan Zhong; Jiaxin Chen; Dongpu Cao (IEEE Trans. Intell. Transp. Syst., 2023)

Towards Robust Decision-Making for Autonomous Driving on Highway. - Kai Yang 032; Xiaolin Tang; Sen Qiu; Shufeng Jin; Zichun Wei; Hong Wang 014 (IEEE Trans. Veh. Technol., 2023)

Intelligent Learning Algorithm and Intelligent Transportation-Based Energy Management Strategies for Hybrid Electric Vehicles: A Review. - Jiongpeng Gan; Shen Li 001; Chongfeng Wei; Lei Deng; Xiaolin Tang (IEEE Trans. Intell. Transp. Syst., 2023)

A Survey of Lateral Stability Criterion and Control Application for Autonomous Vehicles. - Zhewei Zhu; Xiaolin Tang; Yechen Qin; Yiwei Huang; Ehsan Hashemi (IEEE Trans. Intell. Transp. Syst., 2023)

Stochastic Velocity Prediction for Connected Vehicles Considering V2V Communication Interruption. - Lihua Wang; Fengqi Zhang; Yahui Cui; Serdar Coskun; Xiaolin Tang; Yalian Yang; Xiaosong Hu (IEEE Trans. Intell. Transp. Syst., 2023)

Prediction Failure Risk-Aware Decision-Making for Autonomous Vehicles on Signalized Intersections. - Kai Yang 032; Boqi Li 001; Wenbo Shao; Xiaolin Tang; Xiaochuan Liu; Hong Wang 014 (IEEE Trans. Intell. Transp. Syst., 2023)

An Integrated Decision and Motion Planning Framework for Automated Driving on Highway. - Ping Wu 002; Feng Gao 007; Xiaolin Tang; Keqiang Li (IEEE Trans. Veh. Technol., 2023)

A Comparative Analysis of Deep Reinforcement Learning-Enabled Freeway Decision-Making for Automated Vehicles. - Teng Liu; Yuyou Yang; Wenxuan Xiao; Xiaolin Tang; Mingzhu Yin (IEEE Access, 2024)

Large models for intelligent transportation systems and autonomous vehicles: A survey. - Lu Gan; Wenbo Chu; Guofa Li; Xiaolin Tang; Keqiang Li (Adv. Eng. Informatics, 2024)

Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios. - Xiaolin Tang; Yuyou Yang; Teng Liu; Xianke Lin; Kai Yang 032; Shen Li 001 (IEEE CAA J. Autom. Sinica, 2024)

Energy Management Strategies for Fuel Cell Vehicles: A Comprehensive Review of the Latest Progress in Modeling, Strategies, and Future Prospects. - Arash Khalatbarisoltani; Haitao Zhou; Xiaolin Tang; Mohsen Kandidayeni; Loïc Boulon; Xiaosong Hu (IEEE Trans. Intell. Transp. Syst., 2024)

Decision-Making for Autonomous Vehicles in Random Task Scenarios at Unsignalized Intersection Using Deep Reinforcement Learning. - Wenxuan Xiao; Yuyou Yang; Xinyu Mu; Yi Xie; Xiaolin Tang; Dongpu Cao; Teng Liu (IEEE Trans. Veh. Technol., 2024)

Multi-Agent Deep Reinforcement Learning-Based Multi-Objective Cooperative Control Strategy for Hybrid Electric Vehicles. - Jiongpeng Gan; Shen Li 001; Xianke Lin; Xiaolin Tang (IEEE Trans. Veh. Technol., 2024)

Adaptive risk tendency in uncertainty-aware motion planning using risk-sensitive Reinforcement Learning. - Zhidong Wang; Chongfeng Wei; Xiaolin Tang; Wanzhong Zhao; Chuan Hu; Xi Zhang 016 (Adv. Eng. Informatics, 2025)

Mechanisms behind hazard recognition in potential rear-end collisions: An EEG study of cross-frequency phase synchrony in complex brain networks. - Kongming Jiang; Wei Yang 047; Xiaolin Tang; Bingjun Liu; Zhigang Chu; Shaobo Lu; Yang Fu (Expert Syst. Appl., 2025)

Supervised and unsupervised machine learning for power side-channel-based Trojan detection. - Yan Feng; Mingda Li; Xiaolin Tang; Ye Guo; Guanfei Gong; Zhiqiang Li (IEICE Electron. Express, 2025)

A delay-fault feature based hardware Trojan detection method. - Yan Feng; Ye Guo; Guanfei Gong; Xiaolin Tang; Jingrui Hu; Zhiqiang Li (Int. J. Secur. Networks, 2025)

Toward Safe Motion Planning for Autonomous Driving in Highway. - Liang Cheng; Yechen Qin; Kai Yang 032; Zhige Chen; Xiaolin Tang (IEEE Trans. Veh. Technol., 2025)

HCLT-YOLO: A Hybrid CNN and Lightweight Transformer Architecture for Object Detection in Complex Traffic Scenes. - Zhige Chen; Kai Yang 032; Yandong Wu; Hao Yang; Xiaolin Tang (IEEE Trans. Veh. Technol., 2025)

Improvement of a Learning-Based Tuning Approach for Trajectory Tracking Controller. - Zhihao Liang; Kegang Zhao; Zheng Zhang; Yuyuan Hao; Xiaolin Tang (IEEE Trans. Veh. Technol., 2025)

Towards Safe Decision-Making for Autonomous Vehicles at Unsignalized Intersections. - Kai Yang 032; Shen Li 001; Yongli Chen; Dongpu Cao; Xiaolin Tang (IEEE Trans. Veh. Technol., 2025)

Interactive Decision-Making Integrating Graph Neural Networks and Model Predictive Control for Autonomous Driving. - Kai Yang 032; Shen Li 001; Ming Wang; Xiaolin Tang (IEEE Trans. Intell. Transp. Syst., 2025)

DMIC: Decision-Making Integrated Predictive Control for Intelligent Vehicles. - Yu Zhang 222; Xiaolin Tang; Yechen Qin; Mingming Dong (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Object detection for autonomous vehicles under adverse weather conditions. - Zhige Chen; Zhigang Zhang; Qizheng Su; Kai Yang 032; Yandong Wu; Lei He; Xiaolin Tang (Expert Syst. Appl., 2026)