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Development of in silico methodology for siRNA lipid nanoparticle formulations Journal article
Chemical Engineering Journal, 2022,Volume: 442
Authors:  Gao, Haoshi;  Kan, Stanislav;  Ye, Zhuyifan;  Feng, Yuchen;  Jin, Lei;  Zhang, Xudong;  Deng, Jiayin;  Chan, Ging;  Hu, Yuanjia;  Wang, Yongjun;  Cao, Dongsheng;  Ji, Yuanhui;  Liang, Mingtao;  Li, Haifeng;  Ouyang, Defang
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Cationic lipids  Knockdown efficiency  Lipid nanoparticle  Machine learning  Molecular dynamic simulation  siRNA  
Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning Journal article
Future Generation Computer Systems, 2022,Volume: 133,Page: 10-22
Authors:  Li, Tengyue;  Fong, Simon;  Mohammed, Sabah;  Fiaidhi, Jinan;  Guan, Steven;  Chang, Victor
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Algorithm  Classification model training  Deep learning  Machine learning  Medical dataset  Multi-class classification  Parameter optimization  Radiological images recognition  
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling Journal article
Mechanical Systems and Signal Processing, 2022,Volume: 173
Authors:  Sarmadi, Hassan;  Yuen, Ka Veng
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Generalized extreme value  Machine learning  Mixture quantile  Probabilistic anomaly detection  Structural health monitoring  Threshold estimation  
Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction Journal article
Applied Mathematical Modelling, 2022,Volume: 106,Page: 177-198
Authors:  Bai, Lu;  Liu, Zhi;  Wang, Jianzhou
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Data decomposition  Deterministic and interval predictions  Hybrid prediction model  Improved extreme learning machine  Mathematical modelling  Multi-objective optimization approach  
A deep generative approach for crash frequency model with heterogeneous imbalanced data Journal article
Analytic Methods in Accident Research, 2022,Volume: 34
Authors:  Ding, Hongliang;  Lu, Yuhuan;  Sze, N. N.;  Chen, Tiantian;  Guo, Yanyong;  Lin, Qinghai
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Augmented variational autoencoder  Crash frequency model  Imbalanced crash data  Machine learning  
Power of apologetic responses in online travel community Journal article
International Journal of Hospitality Management, 2022,Volume: 103
Authors:  Guo, Xiaoshu;  Ye, Qiang;  Law, Rob;  Liang, Sai;  Zhang, Yan
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Apologetic responses  Machine learning  Online reviews  Service recovery  
Data Representation by Joint Hypergraph Embedding and Sparse Coding Journal article
IEEE Transactions on Knowledge and Data Engineering, 2022,Volume: 34,Issue: 5,Page: 2106-2119
Authors:  Zhong, Guo;  Pun, Chi Man
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data clustering  data representation  hypergraph learning  kernel trick  Matrix factorization  
Assessing the Nonlinear Effect of Atmospheric Variables on Primary and Oxygenated Organic Aerosol Concentration Using Machine Learning Journal article
ACS Earth and Space Chemistry, 2022,Volume: 6,Issue: 4,Page: 1059-1066
Authors:  Qin, Yiming;  Ye, Jianhuai;  Ohno, Paul;  Liu, Pengfei;  Wang, Junfeng;  Fu, Pingqing;  Zhou, Liyuan;  Li, Yong Jie;  Martin, Scot T.;  Chan, Chak K.
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atmospheric variables  machine learning  nonlinear effect  organic aerosol  partial dependence  
First-Person Influences on Third-Person Perceptions Conference paper
Online, 17 April 2022
Authors:  Xinshu ZHAO;  Xudong LIU;  Yue Selene CHEN;  Wen Aquamarine JIAO;  Song Harris AO;  Fuyuan SHEN;  Zhilong George ZHAO
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A fault diagnosis method for wind turbines with limited labeled data based on balanced joint adaptive network Journal article
Neurocomputing, 2022,Volume: 481,Page: 133-153
Authors:  Zhang, Guangyao;  Li, Yanting;  Jiang, Wenbo;  Shu, Lianjie
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Domain Adaptation  Fault Diagnosis  Lstm  Mmd  Scada  Transfer Learning  Wind Turbine