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Changchun Pan
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2020 – today
- 2022
- [c14]Weiquan Zhang, Suqin Tang, Danni He, Tinghui Li, Changchun Pan:
Named Entity Recognition of Zhuang Language Based on the Feature of Initial Letter in Word. ICIAI 2022: 44-49 - [c13]Xiaoxue Shang, Qingsong Gong, Changchun Pan:
A Revised Weight-Tuning Control Framework for Transient Optimization in Process Industry Using R2R Control. RICAI 2022: 494-499 - [c12]Changzheng Chen, Changchun Pan, Guohuan Wang, Kaiyu Zhuang:
An Intelligent Fault Detection Method for Raw Material Grinding of Vertical Cement Mills Using Wavelet Kernel Based Light-weighted Neural Networks. RICAI 2022: 1232-1240 - [c11]Qinbo Di, Xiaokai Cui, Liangren Shi, Changchun Pan:
Internet of Things Oriented Battery SOH Predicting Based on WOA_1DCNN_Bi-LSTM Model. RICAI 2022: 1247-1253 - 2021
- [c10]Chenweinan Jiang, Haichun Liu, Lanzhen Li, Changchun Pan:
Attention-Based Self-Supervised Learning Monocular Depth Estimation With Edge Refinement. ICIP 2021: 3218-3222 - 2020
- [j7]Danyang Ma, Genke Yang, Zeya Li, Haichun Liu, Changchun Pan, Lanzhen Li, Tianhong Zhang:
A Modified Convolutional Neural Network for Resting-State EEG-Based Schizophrenia Classification with Weighted Electrodes. J. Medical Imaging Health Informatics 10(3): 681-687 (2020) - [c9]Minmin Zhang, Changchun Pan, Haichun Liu, Qinting Zhang, Haozhe Li:
An Attention-Based Deep Learning Method for Schizophrenia Patients Classification Using DNA Methylation Data. EMBC 2020: 172-175 - [c8]Haichun Liu, Minmin Zhang, Ling Pei, Wei Wang, Lanzhen Li, Changchun Pan, Zeya Li:
Environment Classification for Global Navigation Satellite Systems Using Attention-Based Recurrent Neural Networks. SpatialDI 2020: 60-71
2010 – 2019
- 2019
- [j6]Wenzeng Du, Genke Yang, Changchun Pan, Peifeng Xi:
A Heterogeneous Multi-Agent System Model With Navigational Feedback for Load Demand Management of a Zonal Medium Voltage DC Shipboard Power System. IEEE Access 7: 148073-148083 (2019) - 2016
- [c7]Wenzeng Du, GenKe Yang, Jie Bai, Changchun Pan, Qingsong Gong:
Reliability Evaluation of a Zonal Shipboard Power System Based on Minimal Cut Set. ICSI (2) 2016: 563-572 - [c6]Junjie Jiang, Changchun Pan, Haichun Liu, Genke Yang:
Predicting human mobility based on location data modeled by Markov chains. UPINLBS 2016: 145-151 - 2015
- [j5]Yu-Wang Chen, Jian-Bo Yang, Changchun Pan, Dong-Ling Xu, Zhi-Jie Zhou:
Identification of uncertain nonlinear systems: Constructing belief rule-based models. Knowl. Based Syst. 73: 124-133 (2015) - [j4]Yue Chen, Yu-Wang Chen, Xiaobin Xu, Changchun Pan, Jianbo Yang, Genke Yang:
A data-driven approximate causal inference model using the evidential reasoning rule. Knowl. Based Syst. 88: 264-272 (2015) - 2014
- [c5]Yue Chen, Changchun Pan, Genke Yang, Jie Bai:
Intelligent decision system for accessing academic performance of candidates for early admission to university. ICNC 2014: 687-692 - 2013
- [j3]Jie Bai, Genke Yang, Yu-Wang Chen, Li-Sheng Hu, Changchun Pan:
A model induced max-min ant colony optimization for asymmetric traveling salesman problem. Appl. Soft Comput. 13(3): 1365-1375 (2013) - [c4]Yanxin Xu, Genke Yang, Changchun Pan:
An Approach Based on Evaluation Particle Swarm Optimization Algorithm for 2D Irregular Cutting Stock Problem. ICSI (1) 2013: 168-175 - 2012
- [j2]Yu-Wang Chen, Yong-Zai Lu, Ming Ge, Genke Yang, Changchun Pan:
Development of hybrid evolutionary algorithms for production scheduling of hot strip mill. Comput. Oper. Res. 39(2): 339-349 (2012) - 2011
- [c3]Yanxin Xu, Genke Yang, Jie Bai, Changchun Pan:
A Review of the Application of Swarm Intelligence Algorithms to 2D Cutting and Packing Problem. ICSI (1) 2011: 64-70 - [c2]Jie Bai, Jun Zhu, Genke Yang, Changchun Pan:
Collaborative Optimization under a Control Framework for ATSP. ICSI (1) 2011: 355-363 - 2010
- [c1]Kai Sun, Genke Yang, Changchun Pan:
Solving hot rolling scheduling problem by a new population-based extremal optimization algorithm. BIC-TA 2010: 1189-1193
2000 – 2009
- 2009
- [j1]Changchun Pan, GenKe Yang:
A method of solving a large-scale rolling batch scheduling problem in steel production using a variant of column generation. Comput. Ind. Eng. 56(1): 165-178 (2009)
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