Building Effective Short Video Recommendation. - Yang Liu 253; Cheng Lyu; Zhiyuan Liu 002; Dacheng Tao (ICME Workshops, 2019)

Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution. - Yang Liu 253; Fanyou Wu; Baosheng Yu; Zhiyuan Liu 002; Jieping Ye (CoRR, 2019)

A Two-Stage Destination Prediction Framework of Shared Bicycles Based on Geographical Position Recommendation. - Yang Liu 253; Ruo Jia; Xue Xie; Zhiyuan Liu 002 (IEEE Intell. Transp. Syst. Mag., 2019)

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. - Michael Kopp 001; David P. Kreil; Moritz Neun; David Jonietz; Henry Martin; Pedro Herruzo; Aleksandra Gruca; Ali Soleymani; Fanyou Wu; Yang Liu 253; Jingwei Xu; Jianjin Zhang; et al. (NeurIPS (Competition and Demos), 2020)

A spatio-temporal ensemble method for large-scale traffic state prediction. - Yang Liu 253; Zhiyuan Liu 002; Hai L. Vu; Cheng Lyu (Comput. Aided Civ. Infrastructure Eng., 2020)

TLab: Traffic Map Movie Forecasting Based on HR-NET. - Fanyou Wu; Yang Liu 253; Zhiyuan Liu 002; Xiaobo Qu 002; Rado Gazo; Eva Haviarova (CoRR, 2020)

Spatio-Temporal Ensemble Method for Car-Hailing Demand Prediction. - Yang Liu 253; Cheng Lyu; Anish Khadka; Wenbo Zhang 012; Zhiyuan Liu 002 (IEEE Trans. Intell. Transp. Syst., 2020)

Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-Hailing Demand Prediction. - Yang Liu 253; Zhiyuan Liu 002; Cheng Lyu; Jieping Ye (IEEE Trans. Intell. Transp. Syst., 2020)

Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction. - Zhiyuan Liu 002; Yang Liu 253; Cheng Lyu; Jieping Ye (IEEE Trans. Cybern., 2021)

Automatic Feature Engineering for Bus Passenger Flow Prediction Based on Modular Convolutional Neural Network. - Yang Liu 253; Cheng Lyu; Xin Liu 076; Zhiyuan Liu 002 (IEEE Trans. Intell. Transp. Syst., 2021)

Some Practice for Improving the Search Results of E-commerce. - Fanyou Wu; Yang Liu 253; Rado Gazo; Bedrich Benes; Xiaobo Qu 002 (CoRR, 2022)

Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control. - Shen Li 001; Yang Liu 253; Xiaobo Qu 002 (IEEE CAA J. Autom. Sinica, 2022)

Behavior2vector: Embedding Users' Personalized Travel Behavior to Vector. - Yang Liu 253; Fanyou Wu; Cheng Lyu; Xin Liu 076; Zhiyuan Liu 002 (IEEE Trans. Intell. Transp. Syst., 2022)

A Partial-Fréchet-Distance-Based Framework for Bus Route Identification. - Cheng Lyu; Xinhua Wu; Yang Liu 253; Zhiyuan Liu 002 (IEEE Trans. Intell. Transp. Syst., 2022)

How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey. - Hongyi Lin 001; Yang Liu 253; Shen Li 001; Xiaobo Qu 002 (IEEE CAA J. Autom. Sinica, 2023)

Advanced Curve Speed Planning with Sideslip and Rollover Prevention for Heavy Trucks. - Jiahui Liu; Liang Wang; Yang Liu 253; Xiaobo Qu 002 (IV, 2024)

Deep knowledge distillation: A self-mutual learning framework for traffic prediction. - Ying Li 024; Ping Li; Doudou Yan; Yang Liu 253; Zhiyuan Liu 002 (Expert Syst. Appl., 2024)

A Dynamic Transformation Car-Following Model for the Prediction of the Traffic Flow Oscillation. - Shan Fang; Lan Yang 011; Xiangmo Zhao; Wei Wang 026; Zhigang Xu 001; Guoyuan Wu 001; Yang Liu 253; Xiaobo Qu 002 (IEEE Intell. Transp. Syst. Mag., 2024)

Deep Demand Prediction: An Enhanced Conformer Model With Cold-Start Adaptation for Origin-Destination Ride-Hailing Demand Prediction. - Hongyi Lin 001; Yixu He; Yang Liu 253; Kun Gao 004; Xiaobo Qu 002 (IEEE Intell. Transp. Syst. Mag., 2024)

Formation control of multi-agent systems with actuator saturation via neural-based sliding mode estimators. - Yang Fei; Peng Shi 001; Yankai Li; Yang Liu 253; Xiaobo Qu 002 (Knowl. Based Syst., 2024)

Deep Adaptive Control: Deep Reinforcement Learning-Based Adaptive Vehicle Trajectory Control Algorithms for Different Risk Levels. - Yixu He; Yang Liu 253; Lan Yang 011; Xiaobo Qu 002 (IEEE Trans. Intell. Veh., 2024)

A Low-Rank Bayesian Temporal Matrix Factorization for the Transfer Time Prediction Between Metro and Bus Systems. - Pan Wu; Mingyang Pei; Tao Wang; Yang Liu 253; Zhiyuan Liu 002; Lingshu Zhong (IEEE Trans. Intell. Transp. Syst., 2024)

Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models. - Hongyi Lin 001; Cheng Lyu; Yixu He; Yang Liu 253; Kun Gao 004; Xiaobo Qu 002 (IEEE Trans. Veh. Technol., 2024)

Enhanced Scene Understanding and Situation Awareness for Autonomous Vehicles Based on Semantic Segmentation. - Yiyue Zhao; Liang Wang; Xinyu Yun; Chen Chai; Zhiyu Liu; Wenxuan Fan; Xiao Luo; Yang Liu 253; Xiaobo Qu 002 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

An Universal Crack Detection Framework for Intelligent Road-Perceptive Vehicles. - Senyun Kuang; Yang Liu 253; Xin Wang; Xiaobo Qu 002; Yintao Wei (IEEE Trans. Intell. Veh., 2024)

Distance-Adaptive High-Precision Sensing for Autonomous Modular Buses. - Hongyi Lin 001; Yiping Yan; Yang Liu 253; Ying Yang; Xiaobo Qu 002 (ANZCC, 2025)

A systematic review of generative adversarial networks for traffic state prediction: Overview, taxonomy, and future prospects. - Ying Li 024; Fan Bai; Cheng Lyu; Xiaobo Qu 002; Yang Liu 253 (Inf. Fusion, 2025)

Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity With Interpretability. - Shuli Wang; Kun Gao 004; Lanfang Zhang; Yang Liu 253; Lei Chen 006 (IEEE Intell. Transp. Syst. Mag., 2025)

A High-Precision Calibration and Evaluation Method Based on Binocular Cameras and LiDAR for Intelligent Vehicles. - Hongyi Lin 001; Yang Liu 253; Liang Wang; Xiaobo Qu 002 (IEEE Trans. Veh. Technol., 2025)

Big Data-Driven Advancements and Future Directions in Vehicle Perception Technologies: From Autonomous Driving to Modular Buses. - Hongyi Lin 001; Yang Liu 253; Liang Wang; Xiaobo Qu 002 (IEEE Trans. Big Data, 2025)