盛瀚民

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副教授
硕士生导师
- 性别:男
- 毕业院校:西南交通大学
- 学历:博士研究生毕业
- 学位:工学博士学位
- 在职信息:在职人员
- 所在单位:自动化工程学院
- 学科:模式识别与智能系统
仪器科学与技术
- 办公地点:C2-303
- 电子邮箱:440b98ebbf2478f808e474148e4405fd939643c13e99f594bcb01c75e7e17c671ee9c4a84be364e5826634928658da9971cf5b7e2d24217757878a89c30e772002b6f4c5c65850c3bc6540fcf2d3b99c596214fa36272fbe210755d9da687789bf2addbf1892cf67d5180108c1bdca5208758276e101f3f8c4a6199052478970
访问量:
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[1]
H. Sheng,
B. Ray,
S. Kayamboo,
X. Xu,
and S. Wang,
Battery Health Estimation Based on Multi-domain Transfer Learning, IEEE transactions on Power Electronics, vol. 1, no. 1, pp. early access, Dec 2023.
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[2]
X. Chen,
Z. Liu,
H. Sheng,
K. Wu,
J. Mi,
and Q. Li,
Transfer learning based remaining useful life prediction of lithium-ion battery considering capacity regeneration phenomenon, Journal of Energy Storage, vol. 76, no. 1, pp. 109798, Dec 2023.
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[3]
X. Chen,
,Z. Liu,
H. Sheng,
Q. Li,
J. Mi,
and X. Tang,
A data reconstruction-based Monte Carlo method for remaining useful life prediction of lithium-ion battery with few historical samples, Journal of Power Sources, vol. 589, no. 1, pp. 233760, Dec 2023.
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[4]
Sheng, Hanmin Ray, Biplob Shao, Jinliang Lasantha, Dimuth Das, Narottam,
Generalization of Solar Power Pield Modeling Using Knowledge Transfer, Expert Systems with Applications, vol. 201, pp. 116992, Jun 2022.
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[5]
Sheng, Hanmin Zhou, Yuan Bai, Libing Shi, Lei,
Transfer State of Health Estimation Based on Cross-Manifold Embedding, Journal of Energy Storage, vol. 47, no. 1, pp. 103555, Jun 2022.
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[6]
Sheng Hanmin; Xiao Jian,
Electric Vehicle State of Charge Estimation: Nonlinear Correlation and Fuzzy Support Vector Machine, Journal of Power Sources, vol. 281, pp. 131-137,
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[7]
Sheng Hanmin; Xiao Jian; Wang Peng,
Lithium Iron Phosphate Battery Electric Vehicle State-of-Charge Estimation Based on Evolutionary Gaussian Mixture Regression, IEEE transactions on Industrial Electronics, vol. 64, no. 1, pp. 544-551, Jun 2017.
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[8]
Sheng, H. M. Liu, X. Bai, L. B. Dong, H. C. Cheng, Y. H.,
Small Sample State of Health Estimation Based on Weighted Gaussian Process Gegression, Journal of Energy Storage, vol. 41, pp. 102816, Jun 2021.
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[9]
Sheng Hanmin; Xiao Jian; Cheng Yuhua; Ni Qiang; Wang Song,
Short-Term Solar Power Forecasting Based on Weighted Gaussian Process Regression, IEEE transactions on Industrial Electronics, vol. 65, no. 1, pp. 300-308, Jun 2018.
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[10]
Sheng Hanmin; Zhou Wenjian; Zheng Jiajun; Zhao Yuan; Ma Wenjian,
Transfer Reinforcement Learning for Dynamic Spectrum Environment, IEEE transactions on Wireless Communication, Jun 2023.
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[11]
Li Yuanyuan; Sheng Hanmin; Cheng Yuhua; Daniel Ioan Stroe; Remus Teodorescu,
State-of-health estimation of lithium-ion batteries based on semi-supervised transfer component analysis, Applied Energy, vol. 277, no. 1, pp. 115504, Jun 2020.
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[12]
Ni Qiang; Zhuang Shengxian; Sheng Hanmin; Kang Gaoqiang; Xiao Jian,
An Ensemble Prediction Intervals Approach for Short-term PV Power Forecasting, Solar Energy, vol. 155, pp. 1072-1083, Jun 2017.
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[13]
Li Yuanyuan; Daniel Ioan Stroe; Cheng Yuhua; Sheng Hanmin; Sui Xin,
On the Feature Selection for Battery State of Health Estimation Based on Charging-Discharging Profiles, Journal of Energy Storage, vol. 33, no. 1, pp. 102122, Jun 2021.
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[14]
Shi Lei,
Cheng Yuhua,
Shao Jinliang,
Wang Xiaofan,
and Sheng Hanmin,
Leader-Follower Opinion Dynamics of Signed Social Networks With Asynchronous Trust/Distrust Level Evolution, IEEE Transactions on Network Science and Engineering, vol. 9, no. 2, pp. 495-509,
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[15]
Shi Lei; Cheng Yuhua; Shao Jinliang; Sheng Hanmin; Liu Qing Chen,
Cucker-Smale flocking over cooperation-competition networks, Automatica, vol. 135, pp. 109988, Jun 2022.
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[16]
Chen Kai,
Ma Zhuangzhuang,
Bai LIbing,
Sheng Hanmin,
and Cheng Yuhua,
Emergence of bipartite flocking behavior for Cucker-Smale model on cooperation-competition networks with time-varying delays, Neurocomputing, vol. 507, no. 1, pp. 325-331,