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Chenglin Yu

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Journal Articles

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2024
[j6]
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Chenglin Yu, Hailong Pei:
Dynamic Weighting Translation Transfer Learning for Imbalanced Medical Image Classification. Entropy 26(5): 400 (2024)
2023
[j5]
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Yishu Yang, Chenglin Yu, Ray Y. Zhong:
Generalized linear model-based data analytic approach for construction equipment management. Adv. Eng. Informatics 55: 101884 (2023)
[j4]
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Wennan Zhang, Chenglin Yu, Ray Y. Zhong:
Stability measure for prefab balancing in prefabrication construction supply chain management. Comput. Ind. Eng. 183: 109518 (2023)
2021
[j3]
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Chenglin Yu, Hailong Pei:
Face recognition framework based on effective computing and adversarial neural network and its implementation in machine vision for social robots. Comput. Electr. Eng. 92: 107128 (2021)
2020
[j2]
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Ying Yu, Chenglin Yu, Gangyan Xu, Ray Y. Zhong, George Q. Huang:
An operation synchronization model for distribution center in E-commerce logistics service. Adv. Eng. Informatics 43: 101014 (2020)
2019
[j1]
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Wen Zhang, Chenglin Yu, Xiaochan Wang, Feng Liu:
Predicting CircRNA-Disease Associations Through Linear Neighborhood Label Propagation Method. IEEE Access 7: 83474-83483 (2019)

Conference and Workshop Papers

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2024
[c7]
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Wennan Zhang, Chenglin Yu, Ying Yu, Li Yin, Ray Y. Zhong:
Deep Reinforcement Learning Enabled Model for Green Last-mile Delivery in MiC Construction. CASE 2024: 3011-3016
[c6]
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Shuxuan Zhao, Chenglin Yu, Xinye Qu, Zhengxu Zhu, Junjie Lei, Ray Y. Zhong:
Digital Twin Enabled Collision Early Warning for Smart Site Safety System (SSSS). CASE 2024: 3023-3028
2023
[c5]
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Shuaiming Su, Yishuo Jiang, Chenglin Yu, Ray Y. Zhong:
Digital Twin-Enabled Building Demolition Waste Trading Workflow. CASE 2023: 1-6
[c4]
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Chenglin Yu, Ray Y. Zhong:
An Internet Based 5-Layer Framework for Logistics in the Greater Bay Area. CASE 2023: 1-6
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Wennan Zhang, Chenglin Yu, Jijie Xiao, Dennis Cheung Ho Kin, Ray Y. Zhong:
Digital-Twin Enabled Construction System For Supply Chain Risk Management. CASE 2023: 1-6
[c2]
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  - conf/icml/YuM023
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Chenglin Yu, Xinsong Ma, Weiwei Liu:
Delving into Noisy Label Detection with Clean Data. ICML 2023: 40290-40305
2022
[c1]
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Chenglin Yu, Ming Zhu, HongYuan Zhang, Ke Liu, YongQiang Liu, He Zhou, Qiang Yang:
Modeling of air quality prediction for PM2.5 concentration in Chengdu area based on measured data. CACML 2022: 540-545

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