default search action
Yong Qin 0002
Person information
- affiliation: Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
- affiliation (PhD 1999): China Academy of Railway Sciences, Beijing, China
Other persons with the same name
- Yong Qin — disambiguation page
- Yong Qin 0001 — IBM China Research Lab, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j87]Yuejian Chen, Xuemei Liu, Meng Rao, Yong Qin, Zhipeng Wang
, Yuanjin Ji
Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions. Reliab. Eng. Syst. Saf. 254: 110596 (2025) - 2024
- [j86]Fanteng Meng
A subtle defect recognition method for catenary fastener in high-speed railroad using destruction and reconstruction learning. Adv. Eng. Informatics 60: 102393 (2024) - [j85]Ao Ding
Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation. Eng. Appl. Artif. Intell. 127(Part B): 107382 (2024) - [j84]Xuan Sun
A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations. Entropy 26(5): 388 (2024) - [j83]Yuhua Yin, Zhiliang Liu
A Data Compression Method With an Encryption Feature for Safe and Lightweight Vibration Condition Monitoring. IEEE Internet Things J. 11(19): 30524-30535 (2024) - [j82]Xiangyu Ren, Yong Qin, Bin Li, Biao Wang
A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions. Reliab. Eng. Syst. Saf. 252: 110428 (2024) - [j81]Ao Ding
An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations. IEEE Trans. Ind. Electron. 71(7): 7896-7905 (2024) - [j80]Xuanyu Ge
An Anomaly Detection Method for Railway Track Using Semisupervised Learning and Vision-Lidar Decision Fusion. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - [j79]Zhaorui Hong
FDSP-HRID: Few-Shot Detector With Self-Supervised Pretraining for High-Speed Rail Infrastructure Defects. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j78]Lirong Lian
Densely Multiscale Fusion Network for Lightweight and Accurate Semantic Segmentation of Railway Scenes. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j77]Lei Tong
TriRNet: Real-Time Rail Recognition Network for UAV-Based Railway Inspection. IEEE Trans. Intell. Transp. Syst. 25(5): 3927-3943 (2024) - [j76]Zhiwei Cao
Railway Intrusion Detection Based on Machine Vision: A Survey, Challenges, and Perspectives. IEEE Trans. Intell. Transp. Syst. 25(7): 6427-6448 (2024) - [j75]Zhiwei Cao
Efficient Dual-Stream Fusion Network for Real-Time Railway Scene Understanding. IEEE Trans. Intell. Transp. Syst. 25(8): 9442-9452 (2024) - [j74]Zhuang Kang
A Novel Controller Based on Fuzzy Sliding Mode Control for Train Speed Tracking. IEEE Trans. Veh. Technol. 73(6): 7653-7668 (2024) - 2023
- [j73]Yunpeng Wu
UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation. Adv. Eng. Informatics 55: 101819 (2023) - [j72]Lei Tong
Anchor-adaptive railway track detection from unmanned aerial vehicle images. Comput. Aided Civ. Infrastructure Eng. 38(18): 2666-2684 (2023) - [j71]Zhenyu Zhang
Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic. Expert Syst. Appl. 216: 119445 (2023) - [j70]Zhenyu Zhang
Additive consistency of q-rung orthopair fuzzy preference relations with application to risk analysis. J. Intell. Fuzzy Syst. 44(4): 6939-6955 (2023) - [j69]Honghui Dong
An Online Health Monitoring Framework for Traction Motors in High-Speed Trains Using Temperature Signals. IEEE Trans. Ind. Informatics 19(2): 1389-1400 (2023) - [j68]Yixuan Geng
3DGraphSeg: A Unified Graph Representation- Based Point Cloud Segmentation Framework for Full-Range High-Speed Railway Environments. IEEE Trans. Ind. Informatics 19(12): 11430-11443 (2023) - [j67]Ao Ding
Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j66]Yunpeng Wu
Automatic Railroad Track Components Inspection Using Hybrid Deep Learning Framework. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j65]Zhipeng Wang
Segmentalized mRMR Features and Cost-Sensitive ELM With Fixed Inputs for Fault Diagnosis of High-Speed Railway Turnouts. IEEE Trans. Intell. Transp. Syst. 24(5): 4975-4987 (2023) - [j64]Jie Man, Honghui Dong
An Adaptive Multisensor Fault Diagnosis Method for High-Speed Train Bogie. IEEE Trans. Intell. Transp. Syst. 24(6): 6292-6306 (2023) - [j63]Ning Wang, Limin Jia
Manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis. IEEE Trans. Intell. Transp. Syst. 24(9): 9886-9900 (2023) - [j62]Zhipeng Wang
Self-Attentive Local Aggregation Learning With Prototype Guided Regularization for Point Cloud Semantic Segmentation of High-Speed Railways. IEEE Trans. Intell. Transp. Syst. 24(10): 11157-11170 (2023) - [j61]Jing Cui
Skip Connection YOLO Architecture for Noise Barrier Defect Detection Using UAV-Based Images in High-Speed Railway. IEEE Trans. Intell. Transp. Syst. 24(11): 12180-12195 (2023) - [c42]Ao Ding
A Class-Added Continual Learning Method for Motor Fault Diagnosis Based on Knowledge Distillation of Representation Proximity Behavior. ICPHM 2023: 224-231 - 2022
- [j60]Yunpeng Wu
Hybrid deep learning architecture for rail surface segmentation and surface defect detection. Comput. Aided Civ. Infrastructure Eng. 37(2): 227-244 (2022) - [j59]Jie Man, Honghui Dong, Jiayang Gao, Jun Zhang, Limin Jia, Yong Qin:
GA-GRGAT: A novel deep learning model for high-speed train axle temperature long term forecasting. Expert Syst. Appl. 202: 117033 (2022) - [j58]Zhenyu Zhang
Interval type-2 fuzzy TOPSIS approach with utility theory for subway station operational risk evaluation. J. Ambient Intell. Humaniz. Comput. 13(10): 4849-4863 (2022) - [j57]Xuejun Zhao, Yong Qin
Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization. J. Intell. Manuf. 33(1): 185-201 (2022) - [j56]Zhiwei Cao
Face detection for rail transit passengers based on single shot detector and active learning. Multim. Tools Appl. 81(29): 42433-42456 (2022) - [j55]Linlin Kou
The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings. Sensors 22(15): 5681 (2022) - [j54]Xiao-Ping Ma
Hybrid Optimization Model for Multi-Hop Protocol of Linear Railway Disaster Wireless Monitoring Networks. IEEE Trans. Intell. Transp. Syst. 23(7): 7484-7495 (2022) - [j53]Yixuan Geng
UAV-LiDAR-Based Measuring Framework for Height and Stagger of High-Speed Railway Contact Wire. IEEE Trans. Intell. Transp. Syst. 23(7): 7587-7600 (2022) - [j52]Yakun Zuo, Ning Wang
Fully Decomposed Singular Value and Fixed Dictionary Extreme Learning Machine for Bogie Fault Diagnosis. IEEE Trans. Intell. Transp. Syst. 23(8): 10262-10274 (2022) - [j51]Lei Tong
Fully Decoupled Residual ConvNet for Real-Time Railway Scene Parsing of UAV Aerial Images. IEEE Trans. Intell. Transp. Syst. 23(9): 14806-14819 (2022) - [j50]Jie Man, Honghui Dong
AttGGCN Model: A Novel Multi-Sensor Fault Diagnosis Method for High-Speed Train Bogie. IEEE Trans. Intell. Transp. Syst. 23(10): 19511-19522 (2022) - [j49]Huan Wang
Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4757-4769 (2022) - [c41]Honghui Dong, Pengcheng Zhu, Jiayang Gao, Limin Jia, Yong Qin:
A Short-term Traffic Flow Forecasting Model Based on Spatial-temporal Attention Neural Network. ITSC 2022: 416-421 - 2021
- [j48]Xiaoqing Chen
An extended CREAM model based on analytic network process under the type-2 fuzzy environment for human reliability analysis in the high-speed train operation. Qual. Reliab. Eng. Int. 37(1): 284-308 (2021) - [j47]Zhiliang Liu
Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j46]Zhiwei Cao
Haze Removal of Railway Monitoring Images Using Multi-Scale Residual Network. IEEE Trans. Intell. Transp. Syst. 22(12): 7460-7473 (2021) - [j45]Zhe Zhang
Location-Allocation Model for the Design of Guidance Signage Systems for Pedestrian Wayfinding in Public Spaces. IEEE Trans. Intell. Transp. Syst. 22(12): 7531-7546 (2021) - [j44]Baoqi Huang
Pedestrian Flow Estimation Through Passive WiFi Sensing. IEEE Trans. Mob. Comput. 20(4): 1529-1542 (2021) - [c40]Honghui Dong, Ziying Meng, Yiming Wang, Limin Jia, Yong Qin:
Multi-Step Spatial-Temporal Fusion Network for Traffic Flow Forecasting. ITSC 2021: 3412-3419 - 2020
- [j43]Fei Su
Disequilibrium Measurement and Analysis of a Road Traffic Network Based on Section Influence Degree and Flow Betweenness. IEEE Access 8: 24428-24442 (2020) - [j42]Xuejun Zhao
Intelligent Fault Identification for Rolling Element Bearings in Impulsive Noise Environments Based on Cyclic Correntropy Spectra and LSSVM. IEEE Access 8: 40925-40938 (2020) - [j41]Yong Fu, Yong Qin, Weizhong Wang, Xinwang Liu
An Extended FMEA Model Based on Cumulative Prospect Theory and Type-2 Intuitionistic Fuzzy VIKOR for the Railway Train Risk Prioritization. Entropy 22(12): 1418 (2020) - [j40]Yunpeng Wu
Densely pyramidal residual network for UAV-based railway images dehazing. Neurocomputing 371: 124-136 (2020) - [j39]Yong Qin, Min An
Guest Editors' Introduction. Int. J. Softw. Eng. Knowl. Eng. 30(7): 895-899 (2020) - [j38]Jiahao Liu, Zhipeng Wang, Yunpeng Wu
An Improved Faster R-CNN for UAV-Based Catenary Support Device Inspection. Int. J. Softw. Eng. Knowl. Eng. 30(7): 941-959 (2020) - [j37]Jie Xu
A reckoning algorithm for the prediction of arriving passengers for subway station networks. J. Ambient Intell. Humaniz. Comput. 11(2): 845-864 (2020) - [j36]Qinghong Liu
An Efficient Residual-Based Method for Railway Image Dehazing. Sensors 20(21): 6204 (2020) - [j35]Xiaoping Ma
Two-Hierarchy Communication/Computation Hybrid Optimization Protocol for Railway Wireless Monitoring Systems. IEEE Trans. Ind. Informatics 16(9): 5723-5734 (2020) - [j34]Huan Wang
Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 16(9): 5735-5745 (2020) - [j33]Linlin Kou
A Multi-Dimension End-to-End CNN Model for Rotating Devices Fault Diagnosis on High-Speed Train Bogie. IEEE Trans. Veh. Technol. 69(3): 2513-2524 (2020) - [c39]Yixuan Geng, Zhipeng Wang, Limin Jia, Yong Qin:
Comparison of Lidar Point Cloud Features in Railway Environment. CIVEMSA 2020: 1-6
2010 – 2019
- 2019
- [j32]Dandan Peng
A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains. IEEE Access 7: 10278-10293 (2019) - [j31]Jianyuan Guo
Short-Term Abnormal Passenger Flow Prediction Based on the Fusion of SVR and LSTM. IEEE Access 7: 42946-42955 (2019) - [j30]Weizhong Wang, Xinwang Liu
Risk assessment based on hybrid FMEA framework by considering decision maker's psychological behavior character. Comput. Ind. Eng. 136: 516-527 (2019) - [j29]Xuejun Zhao, Yong Qin, Changbo He, Limin Jia, Linlin Kou:
Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum. Entropy 21(1): 50 (2019) - [j28]Xiaoqing Chen, Xinwang Liu
An extended HFACS based risk analysis approach for human error accident with interval type-2 fuzzy sets and prospect theory. J. Intell. Fuzzy Syst. 37(6): 8381-8395 (2019) - [j27]Ning Wang
Adaptive Multiclass Mahalanobis Taguchi System for Bearing Fault Diagnosis under Variable Conditions. Sensors 19(1): 26 (2019) - [j26]Xiao-Ping Ma
Adaptive Optimization of Multi-Hop Communication Protocol for Linear Wireless Monitoring Networks on High-Speed Railways. IEEE Trans. Intell. Transp. Syst. 20(6): 2313-2327 (2019) - 2018
- [j25]Honghui Dong
Improved Robust Vehicle Detection and Identification Based on Single Magnetic Sensor. IEEE Access 6: 5247-5255 (2018) - [j24]Weizhong Wang, Xinwang Liu
A fuzzy Fine-Kinney-based risk evaluation approach with extended MULTIMOORA method based on Choquet integral. Comput. Ind. Eng. 125: 111-123 (2018) - [j23]Zhipeng Wang
Adaptive Diagnosis for Rotating Machineries Using Information Geometrical Kernel-ELM Based on VMD-SVD. Entropy 20(1): 73 (2018) - [j22]Chuan Zhao
Sparse classification based on dictionary learning for planet bearing fault identification. Expert Syst. Appl. 108: 233-245 (2018) - [j21]Zhe Zhang, Limin Jia, Yong Qin:
Measuring Selection Diversity of Emergency Medical Service for Metro Stations: A Case Study in Beijing. ISPRS Int. J. Geo Inf. 7(7): 260 (2018) - [j20]Yong Qin, Min An
Guest Editors' Introduction. Int. J. Softw. Eng. Knowl. Eng. 28(4): 427-430 (2018) - [j19]Linlin Kou, Yong Qin, Limin Jia, Yong Fu:
Multistate Reliability Evaluation of Bogie on High Speed Railway Vehicle Based on the Network Flow Theory. Int. J. Softw. Eng. Knowl. Eng. 28(4): 431-452 (2018) - [j18]Li Wang, Min An
A Risk-Based Maintenance Decision-Making Approach for Railway Asset Management. Int. J. Softw. Eng. Knowl. Eng. 28(4): 453-484 (2018) - [j17]Zhipeng Wang
Spectral Kurtosis Entropy and Weighted SaE-ELM for Bogie Fault Diagnosis under Variable Conditions. Sensors 18(6): 1705 (2018) - [j16]Xinan Chen, Zhipeng Wang
A Semi-Supervised Approach to Bearing Fault Diagnosis under Variable Conditions towards Imbalanced Unlabeled Data. Sensors 18(7): 2097 (2018) - [j15]Xiaoping Ma, Honghui Dong, Junqing Tang, Limin Jia
Two-Layer Hierarchy Optimization Model for Communication Protocol in Railway Wireless Monitoring Networks. Wirel. Commun. Mob. Comput. 2018 (2018) - [j14]Zhipeng Wang, Limin Jia, Yong Qin:
Bearing Fault Diagnosis Using Multiclass Self-Adaptive Support Vector Classifiers Based on CEEMD-SVD. Wirel. Pers. Commun. 102(2): 1669-1682 (2018) - [c38]Xuejun Zhao, Yong Qin, Linlin Kou, Zhiliang Liu:
Understanding real faults of axle box bearings based on vibration data using decision tree. ICPHM 2018: 1-5 - [c37]Honghui Dong, Jie Man, Limin Jia, Xuzhao Wang, Yong Qin, Kai Liu
Traffic Speed Estimation Using Mobile Phone Location Data Based on Longest Common Subsequence. ITSC 2018: 2819-2824 - [c36]Mingming Wang, Li Wang, Xinyue Xu
Characteristics Analysis and Impact Cluster on Urban Rail Transit Perturbations: A Real Case in Beijing. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 23-28 - 2017
- [j13]Haojun Sun, Rongbo Chen, Yong Qin, Shengrui Wang:
Holo-Entropy Based Categorical Data Hierarchical Clustering. Informatica 28(2): 303-328 (2017) - [j12]Dongwei Xu, Yongdong Wang, Limin Jia, Yong Qin, Honghui Dong:
Real-time road traffic state prediction based on ARIMA and Kalman filter. Frontiers Inf. Technol. Electron. Eng. 18(2): 287-302 (2017) - [c35]TangWen Yang, Venant Nsabimana, Bufang Wang, Yantao Sun, Xiaoqing Cheng, Honghui Dong, Yong Qin, Bin Zhang, Felix Ingrabire:
Snow fluff detection and removal from video images. IECON 2017: 3840-3844 - [c34]Yuan Liu, Mingming Wang, Qian Li, Yong Qin, Jian Li, Fang Sun, Minghui Zhan:
Research on propagation of passenger flow in urban rail transit network for large-scale events. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- [j11]Yunxiao Fu
Fast EEMD Based AM-Correntropy Matrix and Its Application on Roller Bearing Fault Diagnosis. Entropy 18(7): 242 (2016) - [j10]Yanfang Yang, Yong Qin, Limin Jia, Honghui Dong:
Traffic Safety Region Estimation Based on SFS-PCA-LSSVM: An Application to Highway Crash Risk Evaluation. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1555-1570 (2016) - [j9]Zhengyu Xie
A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks. J. Sensors 2016: 5647909:1-5647909:6 (2016) - [j8]Xiaoqing Cheng, Yuejian Chen
A Novel Online Detection System for Wheelset Size in Railway Transportation. J. Sensors 2016: 9507213:1-9507213:15 (2016) - [c33]Yong Qin, Honghui Dong, Qing Zhang, Yanfang Yang:
Parameter Calibration Method of Microscopic Traffic Flow Simulation Models based on Orthogonal Genetic Algorithm. DMS 2016: 55-60 - [c32]Yong Qin, Dandan Wang, Zhipeng Wang, Limin Jia, Xuejun Zhao:
Research on Performance Degradation Assessment Method of Train Rolling Bearings under incomplete data. DMS 2016: 184-189 - [c31]Yong Qin, Li Wang, Zhengyu Xie:
Temporal-Based Risk Forecasting Approach for Key Areas on Surveillance Sensor Networks of High-Speed Railway Transport Hub. DMS 2016: 190-193 - [c30]TangWen Yang, Yong Qin, Jianda Han:
Vibration Control of a Flexible Robotic Arm by Wave Absorption Based on a Lumped Dynamic Model. ICCSIP 2016: 425-442 - [c29]Zhengyu Xie, Yong Qin:
Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub. SEKE 2016: 291-296 - 2015
- [j7]Yong Qin, Shan Yu, Yuan Zhang, Limin Jia, Xiaoqing Cheng:
An Online Quantified Safety Assessment Method for Train Service State Based on Safety Region Estimation and Hybrid Intelligence Technologies. Int. J. Softw. Eng. Knowl. Eng. 25(3): 493-512 (2015) - [j6]Yong Qin, Zhenyu Zhang
Dynamic risk assessment of metro station with interval type-2 fuzzy set and TOPSIS method. J. Intell. Fuzzy Syst. 29(1): 93-106 (2015) - [j5]Huan Lian, Yong Qin:
A new fuzzy particle swarm optimization based on population diversity. J. Intell. Fuzzy Syst. 29(1): 135-147 (2015) - [j4]Zhengyu Xie, Yong Qin:
Sensor Networks Hierarchical Optimization Model for Security Monitoring in High-Speed Railway Transport Hub. J. Sensors 2015: 951242:1-951242:9 (2015) - [c28]Haojun Sun, Rongbo Chen, Shulin Jin, Yong Qin:
A Hierarchical Clustering for Categorical Data Based on Holo-Entropy. IEEE WISA 2015: 269-274 - [c27]Yun Shen, Honghui Dong, Limin Jia, Yong Qin, Fei Su, Mingchao Wu, Kai Liu
A Method of Traffic Travel Status Segmentation Based on Position Trajectories. ITSC 2015: 2877-2882 - [c26]Yong Qin, Hui Ma, Miao Du, Limin Jia:
Study on the Accident-causing Model Based on Safety Region and Applications in China Railway Transportation System. SEKE 2015: 528-535 - 2014
- [c25]Honghui Dong, Xiaoqing Ding, Mingchao Wu, Yan Shi, Limin Jia, Yong Qin, Lianyu Chu:
Urban traffic commuting analysis based on mobile phone data. ITSC 2014: 611-616 - [c24]Mingchao Wu, Honghui Dong, Xiaoqing Ding, Qingchao Shan, Lianyu Chu, Limin Jia, Yong Qin:
Traffic semantic analysis based on mobile phone base station data. ITSC 2014: 617-622 - [c23]Yuejian Chen, Zongyi Xing, Jianwei Li, Yong Qin:
The analysis of wheel-rail vibration signal based on frequency slice wavelet transform. ITSC 2014: 1312-1316 - [c22]Honghui Dong, Kai Liu
A method of road traffic state acquisition based on wireless sensor networks. ITSC 2014: 2239-2240 - [c21]Honghui Dong, Xianpeng Xia, Limin Jia, Yin Tian, Haijian Li
Quantitatively analysis of train communication network based on multi-attribute utility function. ITSC 2014: 2330-2335 - [c20]TangWen Yang, Jianda Han, Yong Qin:
Wave-Based Tracking Control of a Flexible Arm Using Lumped Model. RiTA 2014: 77-88 - 2013
- [j3]Huan Lian, Yong Qin, Jing Liu:
An Adaptive Differential Evolution Algorithm Based on New Diversity. Int. J. Comput. Intell. Syst. 6(6): 1094-1107 (2013) - [c19]Xinwang Liu
Fuzzy logic based security region evaluation of the urban rail transit operating system. FSKD 2013: 190-195 - [c18]Xiuzhi Sang, Xinwang Liu
Parametric WOWA operator and its application in decision making. FUZZ-IEEE 2013: 1-8 - [c17]Honghui Dong, Mingchao Wu, Qingchao Shan, Na Chen, Siyang Qin, Yin Tian, Limin Jia, Yong Qin:
Urban residents travel analysis based on mobile communication data. ITSC 2013: 1487-1492 - [c16]Jianyuan Guo, Limin Jia, Yong Qin, Bo Wang:
Trip planning considering Last Trains Running. ITSC 2013: 2132-2137 - 2012
- [j2]Weize Wang
Multi-attribute group decision making models under interval type-2 fuzzy environment. Knowl. Based Syst. 30: 121-128 (2012) - [c15]Shilian Han, Xiuzhi Sang, Xinwang Liu
Direct centroid computation of fuzzy numbers. FUZZ-IEEE 2012: 1-6 - [c14]Xinwang Liu
Fast and direct Karnik-Mendel algorithm computation for the centroid of an interval type-2 fuzzy set. FUZZ-IEEE 2012: 1-8 - 2011
- [c13]Yong Qin, Li Wang, Huan Lian, Xuelei Meng, Xuewen Li, Fugui Shi
Fuzzy optimization model based tolerance approach to timetable rescheduling for high speed railway in China. FUZZ-IEEE 2011: 2552-2558 - [c12]Haijian Li
Some practical vehicle speed estimation methods by a single traffic magnetic sensor. ITSC 2011: 1566-1573 - [c11]Jiang Yu, Yong Qin, Limin Jia, Zongyi Xing:
Optimization of Vehicles Arrangement in Distribution Center. LISS (2) 2011: 180-184 - 2010
- [c10]Yan Ping Du, Yunyun Zhao, Limin Jia, Yong Qin:
Optimization Model for Railway Freight Station Layout Based on Agent. CASoN 2010: 211-214 - [c9]Haijian Li
Study on spacing optimization for traffic flow detector. ITSC 2010: 593-598 - [c8]Hesheng Zhang, Cheng Pan, Jun Yang, Honghui Dong, Yong Qin, Limin Jia:
SN-UTIA: A sensor network for urban traffic information acquisition. Intelligent Vehicles Symposium 2010: 566-571
2000 – 2009
- 2009
- [c7]Huijuan Zhou, Limin Jia, Yong Qin:
Integrating GIS with Cellular Automaton Model for Railway Transportation Safety System. CSIE (5) 2009: 503-507 - [c6]Honghui Dong, Yong Qin, Limin Jia:
Chinese Prosodic Word Prediction Using the Conditional Random Fields. FSKD (1) 2009: 137-139 - [c5]Honghui Dong, Limin Jia, Xiaoliang Sun, Yong Qin, Chenxi Li:
An Experiment Study on Level of Service for the Regional Road Traffic. ICNC (5) 2009: 233-235 - [c4]Xinyuan Zhang, Limin Jia, Honghui Dong, Zhuo Wang, Ke Wang, Yong Qin:
Analysis and Evaluation of Connectivity Reliability for Dynamic Transportation Network. NCM 2009: 353-356 - [c3]Honghui Dong, Limin Jia, Xiaoliang Sun, Chenxi Li, Yong Qin, Min Guo:
Road Traffic State Prediction with a Maximum Entropy Method. NCM 2009: 628-630 - [c2]Honghui Dong, Limin Jia, Xiaoliang Sun, Chenxi Li, Yong Qin:
Road Traffic Flow Prediction with a Time-Oriented ARIMA Model. NCM 2009: 1649-1652 - 2008
- [c1]Yong Qin, Yong Jiang, Jingen Fang, Yanhui Wang, Limin Jia:
Research on Emergency Management Information System of Qinghai-Tibet Railway Line. NCM (2) 2008: 635-638 - 2007
- [j1]Zhuo Wang, Limin Jia, Yong Qin, Yanhui Wang:
Railway Passenger Traffic Volume Prediction Based on Neural Network. Appl. Artif. Intell. 21(1): 1-10 (2007)
Coauthor Index
[j86] [j84] [j82] [j81] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [c42] [j60] [j59] [j57] [j56] [j54] [j53] [j52] [j51] [j50] [c41] [j46] [j45] [c40] [j42] [j41] [j39] [j37] [j36] [j35] [c39] [j32] [j31] [j29] [j27] [j26] [j25] [j23] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [c37] [j12] [j11] [j10] [c32] [j7] [c27] [c26] [c25] [c24] [c22] [c21] [c17] [c16] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [j1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-08 01:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: