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2020 – today
- 2024
[j4]Choujun Zhan, Lingfeng Miao, Junyan Lin, Minghao Tan, Kim Fung Tsang, Tianyong Hao, Hu Min, Xuejiao Zhao:
BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities. Neural Comput. Appl. 36(13): 7119-7131 (2024)- [j3]Guo Luo, Hu Min
, Zhi Yang:
Identification of nonlinear dynamical system based on adaptive radial basis function neural networks. Neural Comput. Appl. 36(25): 15617-15629 (2024) - 2023
- [j2]Choujun Zhan, Wei Jiang, Hu Min, Ying Gao, C. K. Tse:
Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age. Neural Comput. Appl. 35(9): 6457-6470 (2023) - 2022
- [c4]Junbo Hu, Kai Liu, Feiyu Jin, Guozhi Yan, Hao Zhang, Songtao Guo, Hu Min:
Effective Vehicle Lane-Change Sensing Using Onboard Smartphone Based on Temporal Convolutional Network. ICA3PP 2022: 139-153 - [c3]Yonglin Liu, Zeqiong Wu, Choujun Zhan, Hu Min:
Bayesian Optimization Based Seq2Seq Network Models for Real Estate Price Prediction in Hong Kong. NCAA (2) 2022: 359-371 - [c2]Hu Min, Kaihan Wu, Minghao Tan, Junyan Lin, Yufan Zheng, Choujun Zhan:
Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects. NCAA (2) 2022: 372-386 - [c1]Lulu Sun, Zhouming Liu, Choujun Zhan, Hu Min:
COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network. PRICAI (1) 2022: 175-187 - 2020
- [j1]Choujun Zhan, Bing Li, Xiaoting Zhong, Hu Min, Zhengdong Wu:
A model for collective behaviour propagation: a case study of video game industry. Neural Comput. Appl. 32(9): 4507-4517 (2020)
Coauthor Index
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