Peijun Ye

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 45

Top Topics

Tensor Decomposition

Social Computing

Reinforcement Learning

Cognitive Architectures

Top Venues

IEEE Trans. Comput. Soc. Syst.

IEEE Trans. Intell. Transp. Syst.

Publications

Zhishuai Li, Gang Xiong, Yisheng Lv, Peijun Ye, Xiaoli Liu, Sasu Tarkoma, Fei-Yue Wang
An Urban Trajectory Data-Driven Approach for COVID-19 Simulation. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Tan Wang, Yifan Zhu, Peijun Ye, Weichao Gong, Hao Lu, Hong Mo, Fei-Yue Wang
A New Perspective for Computational Social Systems: Fuzzy Modeling and Reasoning for Social Computing in CPSS. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Tan Wang, Peijun Ye, Hongqiang Lv, Weichao Gong, Hao Lu, Fei-Yue Wang
Modeling Digital Personality: A Fuzzy-Logic-Based Myers-Briggs Type Indicator for Fine-Grained Analytics of Digital Human. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Zeze Si, Peijun Ye, Gang Xiong, Yisheng Lv, Fenghua Zhu
DATraj: A Dynamic Graph Attention Based Model for Social-Aware Pedestrian Trajectory Prediction. IV (2024)
Yijia Li, Hao Qi, Fenghua Zhu, Yisheng Lv, Peijun Ye
Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning. IV (2024)
Bing Song, Gang Xiong, Zhen Shen, Fenghua Zhu, Yisheng Lv, Peijun Ye
Geometry Problem Solving Based on Counter-Factual Evolutionary Reasoning. CASE (2023)
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
Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective. IEEE Trans. Intell. Veh. 8 (3) (2023)
Hao Qi, Enguang Hou, Guangmin Liu, Peijun Ye
Cognitive Reinforcement Learning For Autonomous Driving. DTPI (2023)
Xuan Li, Yonglin Tian, Peijun Ye, Haibin Duan, Fei-Yue Wang
A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse. IEEE Trans. Syst. Man Cybern. Syst. 53 (4) (2023)
Fenghua Zhu, Jiachen Hou, Yue Wei, Peijun Ye, Gang Xiong, Yisheng Lv
Compression Using Feature Score and Refinement for Deep Neural Networks. ITSC (2023)
Peijun Ye, Hao Qi, Fenghua Zhu, Yisheng Lv
Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving. IEEE Trans. Intell. Veh. 8 (12) (2023)
Qinglai Wei, Diancheng Chen, Beiming Yuan, Peijun Ye
Raven solver: From perception to reasoning. Inf. Sci. 634 (2023)
Xuke Wu, Bin Tian, Gang Xiong, Bing Song, Peijun Ye, Fenghua Zhu
Small Object Detector Using Contextual Local Features and Global Representations for Autonomous Driving. ITSC (2023)
Mian Li, Gang Xiong, Peijun Ye, Guangmin Liu, Fenghua Zhu
Shallow Feature Enhanced Regression Model for UAV Traffic Object Detection. ITSC (2023)
Peijun Ye, Fenghua Zhu, Yisheng Lv, Xiao Wang, Yuanyuan Chen
Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder. ITSC (2022)
Hao Qi, Peijun Ye
Interpretable Learning for Travel Behaviours in Cyber-Physical-Social-Systems. ANZCC (2022)
Xuan Li, Peijun Ye, Juanjuan Li, Zhongmin Liu, Longbing Cao, Fei-Yue Wang
From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V. IEEE Intell. Syst. 37 (4) (2022)
Peijun Ye, Bin Tian, Yisheng Lv, Qijie Li, Fei-Yue Wang
On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis. IEEE Trans. Cybern. 52 (3) (2022)
Jinhao Xi, Fenghua Zhu, Peijun Ye, Yisheng Lv, Haina Tang, Fei-Yue Wang
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Yuanyuan Chen, Hongyu Chen, Peijun Ye, Yisheng Lv, Fei-Yue Wang
Acting as a Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Junchen Jin, Dingding Rong, Yuqi Pang, Peijun Ye, Qingyuan Ji, Xiao Wang, Ge Wang, Fei-Yue Wang
An Agent-Based Traffic Recommendation System: Revisiting and Revising Urban Traffic Management Strategies. IEEE Trans. Syst. Man Cybern. Syst. 52 (11) (2022)
Chizhan Zhang, Fenghua Zhu, Yisheng Lv, Peijun Ye, Fei-Yue Wang
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Xiaoshuang Li, Peijun Ye, Junchen Jin, Fenghua Zhu, Fei-Yue Wang
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Peijun Ye, Fei-Yue Wang
Parallel Population and Parallel Human - A Cyber-Physical Social Approach. IEEE Intell. Syst. 37 (5) (2022)
Bing Song, Gang Xiong, Fenghua Zhu, Xuke Wu, Yisheng Lv, Peijun Ye
Empirical Learning of Decision Parameters for Agent-Based Model. ITSC (2022)
Peijun Ye, Yuanyuan Chen, Fenghua Zhu, Yisheng Lv, Wanze Lu, Fei-Yue Wang
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics. IEEE Trans. Cybern. 52 (11) (2022)
Peijun Ye, Xiao Wang, Wenbo Zheng, Qinglai Wei, Fei-Yue Wang
Parallel cognition: hybrid intelligence for human-machine interaction and management. Frontiers Inf. Technol. Electron. Eng. 23 (12) (2022)
Siqi Fan, Qiulei Dong, Fenghua Zhu, Yisheng Lv, Peijun Ye, Fei-Yue Wang
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation. CVPR (2021)
Noreen Anwar, Zhen Shen, Qinglai Wei, Gang Xiong, Peijun Ye, Zhishuai Li, Yisheng Lv, Hongxia Zhao
YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces. ITSC (2021)
Miao Guo, Peijun Ye, Xudong Liu, Sheng Liu, Gang Xiong, Liguo Zhang
An Interpretability Analysis of Travel Decision Learning in Cyber-Physical-Social-Systems. DTPI (2021)
Noreen Anwar, Gang Xiong, Wanze Lu, Peijun Ye, Hongxia Zhao, Qinglai Wei
Cyber-Physical -Social Systems for Smart Cities: An Overview. DTPI (2021)
Bing Song, Gang Xiong, Songmin Yu, Peijun Ye, Xisong Dong, Yisheng Lv
Calibration of Agent-Based Model Using Reinforcement Learning. DTPI (2021)
Wanze Lu, Gang Xiong, Xudong Liu, Sheng Liu, Peijun Ye, Liguo Zhang
Fast Calibration of Agent-Based Model using Mean-Field Approach. DTPI (2021)
Peijun Ye, Xiao Wang, Gang Xiong, Shichao Chen, Fei-Yue Wang
TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution. IEEE Trans. Cybern. 51 (12) (2021)
Peijun Ye, Fenghua Zhu, Samer Sabri, Feiyue Wang
Consistent Population Synthesis With Multi-Social Relationships Based on Tensor Decomposition. IEEE Trans. Intell. Transp. Syst. 21 (5) (2020)
Fei-Yue Wang, Peijun Ye, Juanjuan Li
Social Intelligence: The Way We Interact, The Way We Go. IEEE Trans. Comput. Soc. Syst. 6 (6) (2019)
Fei-Yue Wang, Xiao Wang, Juanjuan Li, Peijun Ye, Qiang Li
Social Computing: From Crowdsourcing to Crowd Intelligence by Cyber Movement Organizations. IEEE Trans. Comput. Soc. Syst. 6 (4) (2019)
Peijun Ye, Tao Wang, Fei-Yue Wang
A Survey of Cognitive Architectures in the Past 20 Years. IEEE Trans. Cybern. 48 (12) (2018)
Shuai Wang, Xiao Wang, Peijun Ye, Yong Yuan, Shuo Liu, Fei-Yue Wang
Parallel Crime Scene Analysis Based on ACP Approach. IEEE Trans. Comput. Soc. Syst. 5 (1) (2018)
Peijun Ye, Xiao Wang
Population Synthesis using Discrete Copulas. ITSC (2018)
Peijun Ye, Shuai Wang, Fei-Yue Wang
A General Cognitive Architecture for Agent-Based Modeling in Artificial Societies. IEEE Trans. Comput. Soc. Syst. 5 (1) (2018)
Peijun Ye, Xiaolin Hu, Yong Yuan, Fei-Yue Wang
Population Synthesis Based on Joint Distribution Inference Without Disaggregate Samples. J. Artif. Soc. Soc. Simul. 20 (4) (2017)
Peijun Ye, Ding Wen
Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework. IEEE Trans. Intell. Transp. Syst. 18 (7) (2017)
Peijun Ye, Fei-Yue Wang
Hybrid calibration of agent-based travel model using traffic counts and AVI data. ITSC (2017)
Xiao Wang, Lingxi Li, Yong Yuan, Peijun Ye, Fei-Yue Wang
ACP-based social computing and parallel intelligence: Societies 5.0 and beyond. CAAI Trans. Intell. Technol. 1 (4) (2016)
Yifei Zhao, Fei-Yue Wang, Hang Gao, Fenghua Zhu, Yisheng Lv, Peijun Ye
Content-Based Recommendation for Traffic Signal Control. ITSC (2015)
Peijun Ye, Ding Wen
A Study of Destination Selection Model Based on Link Flows. IEEE Trans. Intell. Transp. Syst. 14 (1) (2013)
Yisheng Lv, Fenghua Zhu, Qinghai Miao, Peijun Ye, Songhang Chen
Emergency traffic evacuation control based on the orthogonal experimental design method. ITSC (2012)
Fenghua Zhu, Songhang Chen, Yisheng Lv, Peijun Ye, Gang Xiong, Xisong Dong
Parallel public transport system and its application in the evacuation of large-scale activities. ITSC (2012)
Peijun Ye, Cheng Chen, Fenghua Zhu
Dynamic route guidance using maximum flow theory and its MapReduce implementation. ITSC (2011)