Yang Liu

According to our database, Yang Liu authored at least 30 papers between 2019 and 2025.

Collaborative distances:

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

2025

Big Data-Driven Advancements and Future Directions in Vehicle Perception Technologies: From Autonomous Driving to Modular Buses.

Hongyi Lin, Yang Liu, Liang Wang, Xiaobo Qu

IEEE Trans. Big Data, June, 2025

A High-Precision Calibration and Evaluation Method Based on Binocular Cameras and LiDAR for Intelligent Vehicles.

Hongyi Lin, Yang Liu, Liang Wang, Xiaobo Qu

IEEE Trans. Veh. Technol., May, 2025

Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity With Interpretability.

Shuli Wang, Kun Gao, Lanfang Zhang, Yang Liu, Lei Chen

IEEE Intell. Transp. Syst. Mag., 2025

A systematic review of generative adversarial networks for traffic state prediction: Overview, taxonomy, and future prospects.

Ying Li, Fan Bai, Cheng Lyu, Xiaobo Qu, Yang Liu

Inf. Fusion, 2025

Distance-Adaptive High-Precision Sensing for Autonomous Modular Buses.

Hongyi Lin, Yiping Yan, Yang Liu, Ying Yang, Xiaobo Qu

Proceedings of the Australian & New Zealand Control Conference, 2025

2024

An Universal Crack Detection Framework for Intelligent Road-Perceptive Vehicles.

Senyun Kuang, Yang Liu, Xin Wang, Xiaobo Qu, Yintao Wei

IEEE Trans. Intell. Veh., December, 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, Xiaobo Qu

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models.

Hongyi Lin, Cheng Lyu, Yixu He, Yang Liu, Kun Gao, Xiaobo Qu

IEEE Trans. Veh. Technol., August, 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, Zhiyuan Liu, Lingshu Zhong

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

Deep Adaptive Control: Deep Reinforcement Learning-Based Adaptive Vehicle Trajectory Control Algorithms for Different Risk Levels.

Yixu He, Yang Liu, Lan Yang, Xiaobo Qu

IEEE Trans. Intell. Veh., January, 2024

Formation control of multi-agent systems with actuator saturation via neural-based sliding mode estimators.

Yang Fei, Peng Shi, Yankai Li, Yang Liu, Xiaobo Qu

Knowl. Based Syst., 2024

Deep Demand Prediction: An Enhanced Conformer Model With Cold-Start Adaptation for Origin-Destination Ride-Hailing Demand Prediction.

Hongyi Lin, Yixu He, Yang Liu, Kun Gao, Xiaobo Qu

IEEE Intell. Transp. Syst. Mag., 2024

A Dynamic Transformation Car-Following Model for the Prediction of the Traffic Flow Oscillation.

Shan Fang, Lan Yang, Xiangmo Zhao, Wei Wang, Zhigang Xu, Guoyuan Wu, Yang Liu, Xiaobo Qu

IEEE Intell. Transp. Syst. Mag., 2024

Deep knowledge distillation: A self-mutual learning framework for traffic prediction.

Ying Li, Ping Li, Doudou Yan, Yang Liu, Zhiyuan Liu

Expert Syst. Appl., 2024

Advanced Curve Speed Planning with Sideslip and Rollover Prevention for Heavy Trucks.

Jiahui Liu, Liang Wang, Yang Liu, Xiaobo Qu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey.

Hongyi Lin, Yang Liu, Shen Li, Xiaobo Qu

IEEE CAA J. Autom. Sinica, September, 2023

2022

A Partial-Fréchet-Distance-Based Framework for Bus Route Identification.

Cheng Lyu, Xinhua Wu, Yang Liu, Zhiyuan Liu

IEEE Trans. Intell. Transp. Syst., 2022

Behavior2vector: Embedding Users' Personalized Travel Behavior to Vector.

Yang Liu, Fanyou Wu, Cheng Lyu, Xin Liu, Zhiyuan Liu

IEEE Trans. Intell. Transp. Syst., 2022

Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control.

Shen Li, Yang Liu, Xiaobo Qu

IEEE CAA J. Autom. Sinica, 2022

Some Practice for Improving the Search Results of E-commerce.

Fanyou Wu, Yang Liu, Rado Gazo, Bedrich Benes, Xiaobo Qu

CoRR, 2022

2021

Automatic Feature Engineering for Bus Passenger Flow Prediction Based on Modular Convolutional Neural Network.

Yang Liu, Cheng Lyu, Xin Liu, Zhiyuan Liu

IEEE Trans. Intell. Transp. Syst., 2021

Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction.

Zhiyuan Liu, Yang Liu, Cheng Lyu, Jieping Ye

IEEE Trans. Cybern., 2021

2020

Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-Hailing Demand Prediction.

Yang Liu, Zhiyuan Liu, Cheng Lyu, Jieping Ye

IEEE Trans. Intell. Transp. Syst., 2020

Spatio-Temporal Ensemble Method for Car-Hailing Demand Prediction.

Yang Liu, Cheng Lyu, Anish Khadka, Wenbo Zhang, Zhiyuan Liu

IEEE Trans. Intell. Transp. Syst., 2020

TLab: Traffic Map Movie Forecasting Based on HR-NET.

Fanyou Wu, Yang Liu, Zhiyuan Liu, Xiaobo Qu, Rado Gazo, Eva Haviarova

CoRR, 2020

A spatio-temporal ensemble method for large-scale traffic state prediction.

Yang Liu, Zhiyuan Liu, Hai L. Vu, Cheng Lyu

Comput. Aided Civ. Infrastructure Eng., 2020

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.

Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

A Two-Stage Destination Prediction Framework of Shared Bicycles Based on Geographical Position Recommendation.

Yang Liu, Ruo Jia, Xue Xie, Zhiyuan Liu

IEEE Intell. Transp. Syst. Mag., 2019

Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution.

Yang Liu, Fanyou Wu, Baosheng Yu, Zhiyuan Liu, Jieping Ye

CoRR, 2019

Building Effective Short Video Recommendation.

Yang Liu, Cheng Lyu, Zhiyuan Liu, Dacheng Tao

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019