Jieyue He

发表

Hierarchical Clustering Support Vector Machines for Classifying Type-2 Diabetes Patients

Wei Zhong, Jieyue He, Rick Chow, 2008, ISBRA.

Clinical charge profiles prediction for patients diagnosed with chronic diseases using Multi-level Support Vector Machine

Wei Zhong, Jieyue He, Rick Chow, 2012, Expert Syst. Appl..

Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining

Zhi-Hua Zhou, Xiaohua Hu, Mário M. Freire, 2007 .

To Be or Not to Be: Predicting Soluble SecAs as Membrane Proteins

Yi Pan, Jieyue He, Hae-Jin Hu, 2007, IEEE Transactions on NanoBioscience.

A novel Graph-based Selection Wrapper for learning enhancement in a semi-supervised manner

Yi Pan, Jieyue He, Wei Zhong, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction

Yi Pan, Robert W. Harrison, Jieyue He, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

Multi-level clustering support vector machine trees for improved protein local structure prediction

Yi Pan, Wei Zhong, Jieyue He, 2014, Int. J. Data Min. Bioinform..

Multiclass Fuzzy Clustering Support Vector Machines for Protein Local Structure Prediction

Yi Pan, Wei Zhong, Jieyue He, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

AFGSL: Automatic Feature Generation based on Graph Structure Learning

Yuehua Wu, Jieyue He, Xin Xi, 2021, Knowl. Based Syst..

KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions

Jieyue He, Zhuo Gong, Naixin Zhang, 2021, ICIC.

Attention based adversarially regularized learning for network embedding

Jieyue He, Jinmeng Wang, Zhizhou Yu, 2021, Data Mining and Knowledge Discovery.

Efficient and accurate greedy search methods for mining functional modules in protein interaction networks

Wei Zhong, Jieyue He, Baoliu Ye, 2012, BMC Bioinformatics.

A Novel Core-Attachment Based Greedy Search Method for Mining Functional Modules in Protein Interaction Networks

Wei Zhong, Jieyue He, Baoliu Ye, 2011, ISBRA.

Transmembrane segments prediction and understanding using support vector machine and decision tree

Yi Pan, Robert W. Harrison, Jieyue He, 2006, Expert Syst. Appl..

A novel deep hybrid recommender system based on auto-encoder with neural collaborative filtering

Yu Liu, Shuai Wang, Jieyu He, 2018, Big Data Min. Anal..

An novel frequent probability pattern mining algorithm based on circuit simulation method in uncertain biological networks

Chunyan Wang, Wei Zhong, Jieyue He, 2014, BMC Systems Biology.

Additional Neural Matrix Factorization model for computational drug repositioning

Jieyue He, Xinxing Yang, lbrahim Zamit, 2019, BMC Bioinformatics.

CBOS-Clustering Base on the Score for Motif Discovery in Biological Network

Dawei Chen, Jieyue He, Jieyue He, 2014, 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control.

Discovering frequent probability pattern in uncertain biological networks by circuit simulation method

Chunyan Wang, Wei Zhong, Jieyue He, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Rule generation for protein secondary structure prediction with support vector machines and decision tree

Yi Pan, R. Harrison, P.C. Tai, 2006, IEEE Transactions on NanoBioscience.

ACDNet: Attention-guided Collaborative Decision Network for Effective Medication Recommendation

Jieyue He, Yizhi Zu, Jiacong Mi, 2023, ArXiv.

Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction

Wei Zhong, Jieyue He, Yi Pan, 2006, International Conference on Computational Science.

HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning

Jieyue He, Naixin Zhang, Jinmeng Wang, 2022, Data Mining and Knowledge Discovery.

Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers

Zhi-Hua Zhou, Mário M. Freire, Joshua Zhexue Huang, 2007, PAKDD Workshops.

An Improved Method for Completely Uncertain Biological Network Alignment

Jieyue He, Bin Shen, Wei Zhong, 2015, BioMed research international.

Additional Neural Matrix Factorization model for computational drug repositioning

Yu Liu, Jieyue He, Xinxing Yang, 2019, BMC Bioinformatics.