Peijun Ye

According to our database, Peijun Ye authored at least 54 papers between 2011 and 2025.

Collaborative distances:

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

2025

Sparse-attention augmented domain adaptation for unsupervised person re-identification.

Wei Zhang, Peijun Ye, Tao Su, Dihu Chen

Pattern Recognit. Lett., 2025

2024

Personality Shaping: A Prescriptive Approach Based on Virtual-Real Human Interaction.

Peijun Ye, Fei-Yue Wang

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

Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning.

Jinhao Xi, Fenghua Zhu, Peijun Ye, Yisheng Lv, Gang Xiong, Fei-Yue Wang

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

Large Models Defining a New Era in Intelligence Testing: A Short Discussion and Exploration.

Rui Zhou, Jingwei Ge, Jing Yang, Peijun Ye, Yuchen Li, Levente Kovács

IEEE Trans. Intell. Veh., August, 2024

An Urban Trajectory Data-Driven Approach for COVID-19 Simulation.

Zhishuai Li, Gang Xiong, Yisheng Lv, Peijun Ye, Xiaoli Liu, Sasu Tarkoma, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., June, 2024

A New Perspective for Computational Social Systems: Fuzzy Modeling and Reasoning for Social Computing in CPSS.

Tan Wang, Yifan Zhu, Peijun Ye, Weichao Gong, Hao Lu, Hong Mo, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., February, 2024

Modeling Digital Personality: A Fuzzy-Logic-Based Myers-Briggs Type Indicator for Fine-Grained Analytics of Digital Human.

Tan Wang, Peijun Ye, Hongqiang Lv, Weichao Gong, Hao Lu, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., February, 2024

DATraj: A Dynamic Graph Attention Based Model for Social-Aware Pedestrian Trajectory Prediction.

Zeze Si, Peijun Ye, Gang Xiong, Yisheng Lv, Fenghua Zhu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning.

Yijia Li, Hao Qi, Fenghua Zhu, Yisheng Lv, Peijun Ye

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving.

Peijun Ye, Hao Qi, Fenghua Zhu, Yisheng Lv

IEEE Trans. Intell. Veh., December, 2023

Raven solver: From perception to reasoning.

Qinglai Wei, Diancheng Chen, Beiming Yuan, Peijun Ye

Inf. Sci., July, 2023

A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse.

Xuan Li, Yonglin Tian, Peijun Ye, Haibin Duan, Fei-Yue Wang

IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective.

Haiping Du, Siyu Teng, Hong Chen, Jiaqi Ma, Xiao Wang, Chao Gou, Bai Li, Siji Ma, Qinghai Miao, Xiaoxiang Na, Peijun Ye, Hui Zhang, Guiyang Luo, Fei-Yue Wang

IEEE Trans. Intell. Veh., March, 2023

Compression Using Feature Score and Refinement for Deep Neural Networks.

Fenghua Zhu, Jiachen Hou, Yue Wei, Peijun Ye, Gang Xiong, Yisheng Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Small Object Detector Using Contextual Local Features and Global Representations for Autonomous Driving.

Xuke Wu, Bin Tian, Gang Xiong, Bing Song, Peijun Ye, Fenghua Zhu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Shallow Feature Enhanced Regression Model for UAV Traffic Object Detection.

Mian Li, Gang Xiong, Peijun Ye, Guangmin Liu, Fenghua Zhu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Cognitive Reinforcement Learning For Autonomous Driving.

Hao Qi, Enguang Hou, Guangmin Liu, Peijun Ye

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

Geometry Problem Solving Based on Counter-Factual Evolutionary Reasoning.

Bing Song, Gang Xiong, Zhen Shen, Fenghua Zhu, Yisheng Lv, Peijun Ye

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

An Agent-Based Traffic Recommendation System: Revisiting and Revising Urban Traffic Management Strategies.

Junchen Jin, Dingding Rong, Yuqi Pang, Peijun Ye, Qingyuan Ji, Xiao Wang, Ge Wang, Fei-Yue Wang

IEEE Trans. Syst. Man Cybern. Syst., 2022

MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis.

Chizhan Zhang, Fenghua Zhu, Yisheng Lv, Peijun Ye, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand.

Jinhao Xi, Fenghua Zhu, Peijun Ye, Yisheng Lv, Haina Tang, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework.

Xiaoshuang Li, Peijun Ye, Junchen Jin, Fenghua Zhu, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

Acting as a Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction.

Yuanyuan Chen, Hongyu Chen, Peijun Ye, Yisheng Lv, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis.

Peijun Ye, Bin Tian, Yisheng Lv, Qijie Li, Fei-Yue Wang

IEEE Trans. Cybern., 2022

Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics.

Peijun Ye, Yuanyuan Chen, Fenghua Zhu, Yisheng Lv, Wanze Lu, Fei-Yue Wang

IEEE Trans. Cybern., 2022

Parallel cognition: hybrid intelligence for human-machine interaction and management.

Peijun Ye, Xiao Wang, Wenbo Zheng, Qinglai Wei, Fei-Yue Wang

Frontiers Inf. Technol. Electron. Eng., 2022

Parallel Population and Parallel Human - A Cyber-Physical Social Approach.

Peijun Ye, Fei-Yue Wang

IEEE Intell. Syst., 2022

From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V.

Xuan Li, Peijun Ye, Juanjuan Li, Zhongmin Liu, Longbing Cao, Fei-Yue Wang

IEEE Intell. Syst., 2022

Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder.

Peijun Ye, Fenghua Zhu, Yisheng Lv, Xiao Wang, Yuanyuan Chen

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Empirical Learning of Decision Parameters for Agent-Based Model.

Bing Song, Gang Xiong, Fenghua Zhu, Xuke Wu, Yisheng Lv, Peijun Ye

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Interpretable Learning for Travel Behaviours in Cyber-Physical-Social-Systems.

Hao Qi, Peijun Ye

Proceedings of the Australian & New Zealand Control Conference, 2022

2021

TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution.

Peijun Ye, Xiao Wang, Gang Xiong, Shichao Chen, Fei-Yue Wang

IEEE Trans. Cybern., 2021

YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces.

Noreen Anwar, Zhen Shen, Qinglai Wei, Gang Xiong, Peijun Ye, Zhishuai Li, Yisheng Lv, Hongxia Zhao

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Calibration of Agent-Based Model Using Reinforcement Learning.

Bing Song, Gang Xiong, Song-min Yu, Peijun Ye, Xisong Dong, Yisheng Lv

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

Fast Calibration of Agent-Based Model using Mean-Field Approach.

Wanze Lu, Gang Xiong, Xudong Liu, Sheng Liu, Peijun Ye, Liguo Zhang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

An Interpretability Analysis of Travel Decision Learning in Cyber-Physical-Social-Systems.

Miao Guo, Peijun Ye, Xudong Liu, Sheng Liu, Gang Xiong, Liguo Zhang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

Cyber-Physical -Social Systems for Smart Cities: An Overview.

Noreen Anwar, Gang Xiong, Wanze Lu, Peijun Ye, Hongxia Zhao, Qinglai Wei

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation.

Siqi Fan, Qiulei Dong, Fenghua Zhu, Yisheng Lv, Peijun Ye, Fei-Yue Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Consistent Population Synthesis With Multi-Social Relationships Based on Tensor Decomposition.

Peijun Ye, Fenghua Zhu, Samer Sabri, Feiyue Wang

IEEE Trans. Intell. Transp. Syst., 2020

2019

Social Intelligence: The Way We Interact, The Way We Go.

Fei-Yue Wang, Peijun Ye, Juanjuan Li

IEEE Trans. Comput. Soc. Syst., 2019

Social Computing: From Crowdsourcing to Crowd Intelligence by Cyber Movement Organizations.

Fei-Yue Wang, Xiao Wang, Juanjuan Li, Peijun Ye, Qiang Li

IEEE Trans. Comput. Soc. Syst., 2019

2018

A Survey of Cognitive Architectures in the Past 20 Years.

Peijun Ye, Tao Wang, Fei-Yue Wang

IEEE Trans. Cybern., 2018

A General Cognitive Architecture for Agent-Based Modeling in Artificial Societies.

Peijun Ye, Shuai Wang, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., 2018

Parallel Crime Scene Analysis Based on ACP Approach.

Shuai Wang, Xiao Wang, Peijun Ye, Yong Yuan, Shuo Liu, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., 2018

Population Synthesis using Discrete Copulas.

Peijun Ye, Xiao Wang

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework.

Peijun Ye, Ding Wen

IEEE Trans. Intell. Transp. Syst., 2017

Population Synthesis Based on Joint Distribution Inference Without Disaggregate Samples.

Peijun Ye, Xiaolin Hu, Yong Yuan, Fei-Yue Wang

J. Artif. Soc. Soc. Simul., 2017

Hybrid calibration of agent-based travel model using traffic counts and AVI data.

Peijun Ye, Fei-Yue Wang

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016

ACP-based social computing and parallel intelligence: Societies 5.0 and beyond.

Xiao Wang, Lingxi Li, Yong Yuan, Peijun Ye, Fei-Yue Wang

CAAI Trans. Intell. Technol., 2016

2015

Content-Based Recommendation for Traffic Signal Control.

Yifei Zhao, Fei-Yue Wang, Hang Gao, Fenghua Zhu, Yisheng Lv, Peijun Ye

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2013

A Study of Destination Selection Model Based on Link Flows.

Peijun Ye, Ding Wen

IEEE Trans. Intell. Transp. Syst., 2013

2012

Parallel public transport system and its application in the evacuation of large-scale activities.

Fenghua Zhu, Songhang Chen, Yisheng Lv, Peijun Ye, Gang Xiong, Xisong Dong

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Emergency traffic evacuation control based on the orthogonal experimental design method.

Yisheng Lv, Fenghua Zhu, Qinghai Miao, Peijun Ye, Songhang Chen

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011

Dynamic route guidance using maximum flow theory and its MapReduce implementation.

Peijun Ye, Cheng Chen, Fenghua Zhu

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011