Dynamic route guidance using maximum flow theory and its MapReduce implementation. - Peijun Ye 001; Cheng Chen; Fenghua Zhu (ITSC, 2011)

Emergency traffic evacuation control based on the orthogonal experimental design method. - Yisheng Lv; Fenghua Zhu; Qinghai Miao; Peijun Ye 001; Songhang Chen (ITSC, 2012)

Parallel public transport system and its application in the evacuation of large-scale activities. - Fenghua Zhu; Songhang Chen; Yisheng Lv; Peijun Ye 001; Gang Xiong 001; Xisong Dong (ITSC, 2012)

A Study of Destination Selection Model Based on Link Flows. - Peijun Ye 001; Ding Wen (IEEE Trans. Intell. Transp. Syst., 2013)

Content-Based Recommendation for Traffic Signal Control. - Yifei Zhao; Fei-Yue Wang 001; Hang Gao; Fenghua Zhu; Yisheng Lv; Peijun Ye 001 (ITSC, 2015)

ACP-based social computing and parallel intelligence: Societies 5.0 and beyond. - Xiao Wang 002; Lingxi Li 001; Yong Yuan; Peijun Ye 001; Fei-Yue Wang 001 (CAAI Trans. Intell. Technol., 2016)

Hybrid calibration of agent-based travel model using traffic counts and AVI data. - Peijun Ye 001; Fei-Yue Wang 001 (ITSC, 2017)

Population Synthesis Based on Joint Distribution Inference Without Disaggregate Samples. - Peijun Ye 001; Xiaolin Hu; Yong Yuan; Fei-Yue Wang 001 (J. Artif. Soc. Soc. Simul., 2017)

Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework. - Peijun Ye 001; Ding Wen (IEEE Trans. Intell. Transp. Syst., 2017)

Population Synthesis using Discrete Copulas. - Peijun Ye 001; Xiao Wang 002 (ITSC, 2018)

Parallel Crime Scene Analysis Based on ACP Approach. - Shuai Wang 005; Xiao Wang 002; Peijun Ye 001; Yong Yuan; Shuo Liu 005; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2018)

A General Cognitive Architecture for Agent-Based Modeling in Artificial Societies. - Peijun Ye 001; Shuai Wang 005; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2018)

A Survey of Cognitive Architectures in the Past 20 Years. - Peijun Ye 001; Tao Wang 172; Fei-Yue Wang 001 (IEEE Trans. Cybern., 2018)

Social Computing: From Crowdsourcing to Crowd Intelligence by Cyber Movement Organizations. - Fei-Yue Wang 001; Xiao Wang 002; Juanjuan Li; Peijun Ye 001; Qiang Li (IEEE Trans. Comput. Soc. Syst., 2019)

Social Intelligence: The Way We Interact, The Way We Go. - Fei-Yue Wang 001; Peijun Ye 001; Juanjuan Li (IEEE Trans. Comput. Soc. Syst., 2019)

Consistent Population Synthesis With Multi-Social Relationships Based on Tensor Decomposition. - Peijun Ye 001; Fenghua Zhu; Samer Sabri; Feiyue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2020)

SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation. - Siqi Fan 002; Qiulei Dong; Fenghua Zhu; Yisheng Lv; Peijun Ye 001; Fei-Yue Wang 001 (CVPR, 2021)

Cyber-Physical -Social Systems for Smart Cities: An Overview. - Noreen Anwar; Gang Xiong 001; Wanze Lu; Peijun Ye 001; Hongxia Zhao; Qinglai Wei (DTPI, 2021)

An Interpretability Analysis of Travel Decision Learning in Cyber-Physical-Social-Systems. - Miao Guo; Peijun Ye 001; Xudong Liu; Sheng Liu 003; Gang Xiong 001; Liguo Zhang (DTPI, 2021)

Fast Calibration of Agent-Based Model using Mean-Field Approach. - Wanze Lu; Gang Xiong 001; Xudong Liu; Sheng Liu 003; Peijun Ye 001; Liguo Zhang (DTPI, 2021)

Calibration of Agent-Based Model Using Reinforcement Learning. - Bing Song; Gang Xiong 001; Song-min Yu; Peijun Ye 001; Xisong Dong; Yisheng Lv (DTPI, 2021)

YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces. - Noreen Anwar; Zhen Shen; Qinglai Wei; Gang Xiong 001; Peijun Ye 001; Zhishuai Li; Yisheng Lv; Hongxia Zhao (ITSC, 2021)

TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution. - Peijun Ye 001; Xiao Wang 002; Gang Xiong 001; Shichao Chen; Fei-Yue Wang 001 (IEEE Trans. Cybern., 2021)

Interpretable Learning for Travel Behaviours in Cyber-Physical-Social-Systems. - Hao Qi; Peijun Ye 001 (ANZCC, 2022)

Empirical Learning of Decision Parameters for Agent-Based Model. - Bing Song; Gang Xiong 001; Fenghua Zhu; Xuke Wu; Yisheng Lv; Peijun Ye 001 (ITSC, 2022)

Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder. - Peijun Ye 001; Fenghua Zhu; Yisheng Lv; Xiao Wang 002; Yuanyuan Chen (ITSC, 2022)

From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V. - Xuan Li 006; Peijun Ye 001; Juanjuan Li; Zhongmin Liu; Longbing Cao; Fei-Yue Wang 001 (IEEE Intell. Syst., 2022)

Parallel Population and Parallel Human - A Cyber-Physical Social Approach. - Peijun Ye 001; Fei-Yue Wang 001 (IEEE Intell. Syst., 2022)

Parallel cognition: hybrid intelligence for human-machine interaction and management. - Peijun Ye 001; Xiao Wang 002; Wenbo Zheng; Qinglai Wei; Fei-Yue Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2022)

Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics. - Peijun Ye 001; Yuanyuan Chen; Fenghua Zhu; Yisheng Lv; Wanze Lu; Fei-Yue Wang 001 (IEEE Trans. Cybern., 2022)

On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis. - Peijun Ye 001; Bin Tian 003; Yisheng Lv; Qijie Li; Fei-Yue Wang 001 (IEEE Trans. Cybern., 2022)

Acting as a Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction. - Yuanyuan Chen; Hongyu Chen; Peijun Ye 001; Yisheng Lv; Fei-Yue Wang 001 (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 001; Junchen Jin; Fenghua Zhu; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand. - Jinhao Xi; Fenghua Zhu; Peijun Ye 001; Yisheng Lv; Haina Tang; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis. - Chizhan Zhang; Fenghua Zhu; Yisheng Lv; Peijun Ye 001; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

An Agent-Based Traffic Recommendation System: Revisiting and Revising Urban Traffic Management Strategies. - Junchen Jin; Dingding Rong; Yuqi Pang; Peijun Ye 001; Qingyuan Ji; Xiao Wang 002; Ge Wang; Fei-Yue Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Geometry Problem Solving Based on Counter-Factual Evolutionary Reasoning. - Bing Song; Gang Xiong 001; Zhen Shen; Fenghua Zhu; Yisheng Lv; Peijun Ye 001 (CASE, 2023)

Cognitive Reinforcement Learning For Autonomous Driving. - Hao Qi; Enguang Hou; Guangmin Liu; Peijun Ye 001 (DTPI, 2023)

Shallow Feature Enhanced Regression Model for UAV Traffic Object Detection. - Mian Li; Gang Xiong 001; Peijun Ye 001; Guangmin Liu; Fenghua Zhu (ITSC, 2023)

Small Object Detector Using Contextual Local Features and Global Representations for Autonomous Driving. - Xuke Wu; Bin Tian 003; Gang Xiong 001; Bing Song; Peijun Ye 001; Fenghua Zhu (ITSC, 2023)

Compression Using Feature Score and Refinement for Deep Neural Networks. - Fenghua Zhu; Jiachen Hou; Yue Wei; Peijun Ye 001; Gang Xiong 001; Yisheng Lv (ITSC, 2023)

Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective. - Haiping Du; Siyu Teng; Hong Chen 003; Jiaqi Ma 003; Xiao Wang 002; Chao Gou; Bai Li 002; Siji Ma; Qinghai Miao; Xiaoxiang Na; Peijun Ye 001; Hui Zhang 091; et al. (IEEE Trans. Intell. Veh., 2023)

A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse. - Xuan Li 006; Yonglin Tian; Peijun Ye 001; Haibin Duan; Fei-Yue Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Raven solver: From perception to reasoning. - Qinglai Wei; Diancheng Chen; Beiming Yuan; Peijun Ye 001 (Inf. Sci., 2023)

Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving. - Peijun Ye 001; Hao Qi; Fenghua Zhu; Yisheng Lv (IEEE Trans. Intell. Veh., 2023)

Knowledge Refinement: An Interpretable Analytics for Travel Behaviors Based on Knowledge Automation. - Peijun Ye 001; Renrui Zhang; Shichao Ge (ITSC, 2024)

Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning. - Yijia Li; Hao Qi; Fenghua Zhu; Yisheng Lv; Peijun Ye 001 (IV, 2024)

DATraj: A Dynamic Graph Attention Based Model for Social-Aware Pedestrian Trajectory Prediction. - Zeze Si; Peijun Ye 001; Gang Xiong 001; Yisheng Lv; Fenghua Zhu (IV, 2024)

Modeling Digital Personality: A Fuzzy-Logic-Based Myers-Briggs Type Indicator for Fine-Grained Analytics of Digital Human. - Tan Wang; Peijun Ye 001; Hongqiang Lv; Weichao Gong; Hao Lu 002; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

A New Perspective for Computational Social Systems: Fuzzy Modeling and Reasoning for Social Computing in CPSS. - Tan Wang; Yifan Zhu 001; Peijun Ye 001; Weichao Gong; Hao Lu 002; Hong Mo; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

An Urban Trajectory Data-Driven Approach for COVID-19 Simulation. - Zhishuai Li; Gang Xiong 001; Yisheng Lv; Peijun Ye 001; Xiaoli Liu 005; Sasu Tarkoma; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Large Models Defining a New Era in Intelligence Testing: A Short Discussion and Exploration. - Rui Zhou; Jingwei Ge; Jing Yang 044; Peijun Ye 001; Yuchen Li 004; Levente Kovács (IEEE Trans. Intell. Veh., 2024)

Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning. - Jinhao Xi; Fenghua Zhu; Peijun Ye 001; Yisheng Lv; Gang Xiong 001; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Personality Shaping: A Prescriptive Approach Based on Virtual-Real Human Interaction. - Peijun Ye 001; Fei-Yue Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

CoEF: Vehicular cooperative perception based on entropy theory and feature re-projection. - Mian Li; Zunlei Feng; Gang Xiong 001; Peijun Ye 001; Guangmin Liu; Haina Tang; Fenghua Zhu (Expert Syst. Appl., 2025)

Parallel Experiments: From The Human Participated to A Virtual-Real Hybrid Paradigm. - Peijun Ye 001; Xiao Xue 001; Qinghua Ni; Jing Yang 044; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2025)