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Wei Dong 0012
Person information
- affiliation (PhD 2006): Tsinghua University, Beijing, China
Other persons with the same name
- Wei Dong — disambiguation page
- Wei Dong 0001
— Alibaba-Zhejiang University Joint Institute of Frontier Technologies, China (and 1 more) - Wei Dong 0002 — Texas Instruments Inc., Dallas, TX, USA (and 1 more)
- Wei Dong 0003
— Ann Arbor, MI, USA (and 1 more) - Wei Dong 0004
— Harbin Institute of Technology, State Key laboratory of Robotics and System, China - Wei Dong 0005
— Chinese PLA General Hospital, Beijing, China - Wei Dong 0006
— National University of Defense Technology, School of Computer, Changsha, China - Wei Dong 0007
— Nanyang Technological University, College of Computing and Data Science, Singapore (and 1 more) - Wei Dong 0008
— Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, China - Wei Dong 0009
— Beijing Institute of Technology, Key Laboratory of Dynamics and Control of Flight Vehicle within Ministry of Education, School of Aerospace Engineering, China - Wei Dong 0010
— Xi'an University of Architecture and Technology, China (and 1 more) - Wei Dong 0011
— McMaster University, Hamilton, ON, Canada
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2020 – today
- 2026
[j14]Lezhou Wu
, Zhongcan Li
, Wei Dong
, Hao Ye
, Ming Jiang:
Integrated scheduling method for heavy-haul transportation with virtual coupling based on two-phase optimization strategy. Expert Syst. Appl. 297: 129326 (2026)
[c31]Wei Dong, Sirui Huang, Chong Wang, Guohua Zhang, Yindong Ji:
A Large-Small Model Coordination Framework Based on Tactical Case-Based Reasoning Reward Machine for Adversarial Game Scenarios. ICCBR 2026: 455-471- 2025
[c30]Linfeng Liu, Wei Dong, Hao Ye, Shaowei Li, Min Gu, Tongshuai Zhang:
Efficiently Modeling of Superconducting Electrodynamic Suspension Train based on Physics-informed Neural Network. IECON 2025: 1-7
[c29]Zhiqing Zhang, Chong Wang, Zhongcan Li, Wei Dong, Xiang Yan, Zhao Long, Xinya Sun:
An Optimization Method of Marshalling Station Period Scheduling Plan Based on Ordinal Optimization. ITSC 2025: 2465-2472
[c28]Tianyue Ding, Zhongcan Li, Chong Wang, Wei Dong, Xiang Yan, Wei Li, Junwei Cao:
An Optimization Method for Marshalling Station Period Scheduling Plan Based on Reinforcement Learning with Graph Neural Network. ITSC 2025: 2473-2480- 2024
[j13]Zhongcan Li
, Ping Huang, Chao Wen, Wei Dong, Yindong Ji, Filipe Rodrigues
:
Railway network delay evolution: A heterogeneous graph neural network approach. Appl. Soft Comput. 159: 111640 (2024)
[j12]Fuyue Ren, Wei Dong, Xiaodong Zhao, Fan Zhang
, Yaguang Kong
, Qiang Yang
:
Two-layer coordinated reinforcement learning for traffic signal control in traffic network. Expert Syst. Appl. 235: 121111 (2024)
[c27]Xinyi Ning
, Wei Dong, Yindong Ji, Xinya Sun:
Multi-Objective Multi-Agent Reinforcement Learning for Energy-Aimed Train Scheduling for Urban Rail Transit Network. INDIN 2024: 1-6- 2023
[j11]Linfeng Liu, Hao Ye, Wei Dong, Junfeng Cui:
Comprehensive Model Construction and Simulation for Superconducting Electrodynamic Suspension Train. Complex Syst. Model. Simul. 3(3): 220-235 (2023)
[j10]Kang Li
, Tongshuai Zhang
, Wei Dong
, Hao Ye
:
Abnormality Detection of Blast Furnace Ironmaking Process Based on an Improved Diffusion Convolutional Gated Recurrent Unit Network. IEEE Trans. Instrum. Meas. 72: 1-12 (2023)
[c26]Zhengyang Zhang, Wei Dong, Xinya Sun, Yindong Ji:
A Situation Deduction Method for Rail Transit Network Based on Dynamic Bayesian Network with Gaussian Mixture Model. ICCEIC 2023: 74-83
[i1]Zhengyang Zhang, Wei Dong, Jun Liu, Xinya Sun, Yindong Ji:
A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network. CoRR abs/2308.01556 (2023)- 2022
[j9]Fan Zhang
, Leitao Qu
, Wei Dong
, Hongbo Zou
, Qiang Guo
, Yaguang Kong
:
A Novel NILM Event Detection Algorithm Based on Different Frequency Scales. IEEE Trans. Instrum. Meas. 71: 1-11 (2022)- 2021
[j8]Wei Dong
, Qiang Yang, Xinli Fang, Wei Ruan:
Adaptive optimal fuzzy logic based energy management in multi-energy microgrid considering operational uncertainties. Appl. Soft Comput. 98: 106882 (2021)
[j7]Wei Dong
, Qiang Yang
, Wei Li
, Albert Y. Zomaya
:
Machine-Learning-Based Real-Time Economic Dispatch in Islanding Microgrids in a Cloud-Edge Computing Environment. IEEE Internet Things J. 8(17): 13703-13711 (2021)
[c25]Tao Wu, Shouchao Zhai, Wei Dong, Jing Liu, Xinya Sun:
An Online Detection Algorithm of Train Coupler Impact Based on Stacked Auto-Encoders. CAA SAFEPROCESS 2021: 1-6
[c24]Huicong Wang, Wei Dong, Xinya Sun, Youqing Wang, Mei Le, Shengchao Xue:
Genetic Algorithm Based Dynamic Collaborative Optimization Method for Train Dispatching and Passenger Flow Guidance. ICCMS 2021: 8-16
[c23]Wenchao Cui, Wei Dong, Xinya Sun, Kailin Feng, Jun Zhang:
A Global Dynamic Capacity Risk Assessment and Prediction Method of Regional Rail Transit Network Based on Passenger Flow Monitoring. ICCMS 2021: 95-103
[c22]Ye Li, Wei Dong, Xinya Sun, Xupeng Fang, Xiaohu Qin:
A Method for Evaluating the Importance of Regional Rail Transit Nodes under the Sense of Cascaded Failure. ICCMS 2021: 155-163
[c21]HengCheng Li, Wei Dong, Xinya Sun, Chuanjiang Wang, Shengchao Xue:
A decision optimization method for emergency maintenance of regional rail transit based on genetic algorithm. ICCMS 2021: 185-194
[c20]Wenlong Feng, Wei Dong, Shouchao Zhai, Guohua Zhang, Xinya Sun, Yindong Ji:
A Deep Reinforcement Learning Method for Freight Train Driving Based on Domain Knowledge and Mass Estimation Network. ICMLT 2021: 41-46- 2020
[j6]Wei Dong
, Qiang Yang
:
Data-Driven Solution for Optimal Pumping Units Scheduling of Smart Water Conservancy. IEEE Internet Things J. 7(3): 1919-1926 (2020)
[j5]Leilei Chang
, Wei Dong, Jianbo Yang
, Xinya Sun, Xiaobin Xu, Xiaojian Xu, Limao Zhang
:
Hybrid belief rule base for regional railway safety assessment with data and knowledge under uncertainty. Inf. Sci. 518: 376-395 (2020)
[c19]Yuxiang Ma, Wei Dong, Mengyu Zhang, Xinya Sun, Xiao Lu:
Research on Regional Rail Transit Travel Planning System Based on Passenger Flow Prediction*. ITSC 2020: 1-7
[c18]Yujun Cui, Guohua Zhang, Wei Dong, Xinya Sun, Weihua Yang:
Knowledge-based Deep Reinforcement Learning for Train Automatic Stop Control of High-Speed Railway. MLMI 2020: 31-36
2010 – 2019
- 2019
[j4]Jie Lei, Wei Dong, Leilei Chang
, Xiaobin Xu, Xiaojian Xu:
Metro Traffic Prediction and Service-Oriented Scheduling Optimization Under Influence of Train Arrivals. IEEE Access 7: 166729-166739 (2019)
[c17]Mengbai Ma, Wei Dong, Xinya Sun, Xingquan Ji:
A Dynamic Risk Analysis Method for High-speed Railway Catenary Based on Bayesian Network. CAA SAFEPROCESS 2019: 547-554
[c16]Lili Guo, Wei Dong, Xinya Sun, Xingquan Ji:
A Method of Dynamic Risk Analysis and Assessment for Metro Power Supply System Based on Fuzzy Reasoning. CAA SAFEPROCESS 2019: 555-561
[c15]Yangtengfei Yue, Wei Dong, Xinya Sun, Xingquan Ji:
A Dynamic Risk Analysis Method for Compound Faults of Traction System of High Speed Train Based on Characteristic Variables. CAA SAFEPROCESS 2019: 562-569
[c14]Shige Ding, Wei Dong, Xinya Sun, Haixia Wang:
A Dynamic Risk Analysis Method for Escalator of Rail Transit Hub Based on Characteristic Quantity. CAA SAFEPROCESS 2019: 581-588
[c13]Zhenning Zhao, Wei Dong, Xinya Sun, Na Wu:
A Dynamic Risk Analysis and Assessment Method for Traction System of Metro Train Based on Characteristic Quantity. CAA SAFEPROCESS 2019: 637-644- 2018
[c12]Zhi Zhuang, Guohua Zhang, Wei Dong, Xinya Sun, Chuanjiang Wang:
Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning. Australasian Conference on Artificial Intelligence 2018: 98-103
[c11]Zijian Guo, Hao Ye, Wei Dong, Xiang Yan, Yindong Ji:
A Fault Detection Method for Railway Point Machine Operations Based On Stacked Autoencoders. ICAC 2018: 1-6
[c10]Peng Zhang, Guohua Zhang, Wei Dong, Xinya Sun, Xingquan Ji:
Fault Diagnosis of High-Speed Railway Turnout Based on Convolutional Neural Network. ICAC 2018: 1-6- 2017
[j3]Hui Zhao, Jingwei Liu, Wei Dong, Xinya Sun, Yindong Ji:
An improved case-based reasoning method and its application on fault diagnosis of Tennessee Eastman process. Neurocomputing 249: 266-276 (2017)- 2016
[c9]Yingjun Niu, Wei Dong, Yindong Ji:
An improved method of state estimation for Markov jump linear system with quantized measurements. ICIT 2016: 1527-1532
[c8]Fenfang Zhou, Li Xia, Wei Dong, Xinya Sun, Xiang Yan, Qianchuan Zhao:
Fault diagnosis of high-speed railway turnout based on support vector machine. ICIT 2016: 1539-1544- 2014
[c7]Yingjun Niu, Wei Dong, Yindong Ji:
State estimation for Markov Jump Linear Systems with quantized measurements: A quantized IMMPF algorithm. ICCA 2014: 941-946- 2013
[j2]Liang Li, Wei Dong, Yindong Ji, Zengke Zhang, Lang Tong:
Minimal-Energy Driving Strategy for High-Speed Electric Train With Hybrid System Model. IEEE Trans. Intell. Transp. Syst. 14(4): 1642-1653 (2013)
[c6]Wei Dong:
A time management optimization framework for large-scale distributed hardware-in-the-loop simulation. SIGSIM-PADS 2013: 265-276- 2010
[c5]Shuai Wang, Yindong Ji, Wei Dong, Shiyuan Yang:
A New Formal Test Method for Networked Software Integration Testing. ICCSA (2) 2010: 463-474
[c4]Fuqing Wang, Wei Dong, Yindong Ji:
Logic deduction agent based distributed parallel test platform on hardware-in-the-loop simulation system. SpringSim 2010: 54
[c3]Mao Ye, Wei Dong, Yindong Ji, Shuai Wang:
A new concurrent mechanism for distributed hardware-in-the-loop simulation test system. SpringSim 2010: 160
2000 – 2009
- 2009
[c2]Shuai Wang, Yindong Ji, Wei Dong, Shiyuan Yang:
Bridging Test Languages to Reuse Test Information: A Metamodel for Test Information. IRI 2009: 435-436- 2008
[j1]Linyan Tu, Wei Dong, Yindong Ji, Xinya Sun:
A Meta-model Based Modeling Method for Geographic Information Model in CTCS Hardware-in-the-loop Simulation System. J. Comput. 3(12): 19-26 (2008)
[c1]Fuqing Wang, Wei Dong, Yindong Ji:
A New Credit Based Micropayment Scheme. ICEBE 2008: 596-601
Coauthor Index

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last updated on 2026-09-06 23:35 CEST by the dblp team
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