Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals. - Jieyue He; Hongqiang Rong; Zongwei Luo; Joshua Zhexue Huang; Frank Tong (ICWS-Europe, 2003)

Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. - Jieyue He; Bernard Chen 001; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yisheng Dong; Yi Pan 001 (CSB Workshops, 2005)

Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. - Hae-Jin Hu; Phang C. Tai; Robert W. Harrison; Jieyue He; Yi Pan 001 (CSB Workshops, 2005)

Understanding Protein Structure Prediction Using SVM_DT. - Jieyue He; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yisheng Dong; Yi Pan 001 (ISPA Workshops, 2005)

Calculating Genomic Distances in Parallel Using OpenMP. - Vijaya Smitha Kolli; Hui Liu 008; Jieyue He; Michelle Hong Pan; Yi Pan 001 (Trans. Comp. Sys. Biology, 2005)

Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. - Jieyue He; Wei Zhong; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (International Conference on Computational Science (2), 2006)

Transmembrane segments prediction and understanding using support vector machine and decision tree. - Jieyue He; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Expert Syst. Appl., 2006)

Multiclass Fuzzy Clustering Support Vector Machines for Protein Local Structure Prediction. - Wei Zhong; Jieyue He; Yi Pan 001 (BIBE, 2007)

Mutual Information based Minimum Spanning Trees Model for Selecting Discriminative Genes. - Fang Zhou; Jieyue He; Wei Zhong (BIBE, 2007)

High Performance Data Mining and Applications Overview. - Chao Xie; Jieyue He (PAKDD Workshops, 2007)

Clustering support vector machines for protein local structure prediction. - Wei Zhong; Jieyue He; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Expert Syst. Appl., 2007)

Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm. - Bernard Chen 001; Jieyue He; Stephen Pellicer; Yi Pan 001 (BIBM, 2008)

Hierarchical Clustering Support Vector Machines for Classifying Type-2 Diabetes Patients. - Wei Zhong; Rick Chow; Richard Stolz; Jieyue He; Marsha Dowell (ISBRA, 2008)

Rule Extraction from SVM for Protein Structure Prediction. - Jieyue He; Hae-Jin Hu; Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Rule Extraction from Support Vector Machines, 2008)

Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. - Jieyue He; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (BIBE, 2009)

Multi-Level Support Vector Machines for Classifying Large Chronic Disease Datasets. - Wei Zhong; Rick Chow; Jieyue He; Richard Stolz; Marsha Dowell (BIOCOMP, 2009)

Gene subsets extraction based on Mutual-Information-based Minimum Spanning Trees model. - Jieyue He; Fang Zhou 002; Wei Zhong; Yi Pan 001 (Int. J. Comput. Biol. Drug Des., 2009)

Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction. - Bernard Chen 001; Jieyue He; Stephen Pellicer; Yi Pan 001 (Int. J. Data Min. Bioinform., 2010)

A Novel Core-Attachment Based Greedy Search Method for Mining Functional Modules in Protein Interaction Networks. - Chaojun Li; Jieyue He; Baoliu Ye; Wei Zhong (ISBRA, 2011)

Efficient and accurate greedy search methods for mining functional modules in protein interaction networks. - Jieyue He; Chaojun Li; Baoliu Ye; Wei Zhong (BMC Bioinform., 2012)

Clinical charge profiles prediction for patients diagnosed with chronic diseases using Multi-level Support Vector Machine. - Wei Zhong; Rick Chow; Jieyue He (Expert Syst. Appl., 2012)

Discovering frequent probability pattern in uncertain biological networks by circuit simulation method. - Chunyan Wang 006; Kunpu Qiu; Wei Zhong; Jieyue He (BIBM, 2013)

What-If Query Processing Policy for Big Data in OLAP System. - Huan Xu; Hao Luo; Jieyue He (CBD, 2013)

An Efficient OLAP Query Algorithm Based on Dimension Hierarchical Encoding Storage and Shark. - Shengqiang Yao; Jieyue He (ICSI (2), 2014)

An novel frequent probability pattern mining algorithm based on circuit simulation method in uncertain biological networks. - Jieyue He; Chunyan Wang 006; Kunpu Qiu; Wei Zhong (BMC Syst. Biol., 2014)

Multi-level clustering support vector machine trees for improved protein local structure prediction. - Wei Zhong; Jieyue He; Xiujuan Chen; Yi Pan 001 (Int. J. Data Min. Bioinform., 2014)

A semi-supervised deep network embedding approach based on the neighborhood structure. - Wenmao Wu; Zhizhou Yu; Jieyue He (Big Data Min. Anal., 2019)

Additional Neural Matrix Factorization model for computational drug repositioning. - Xinxing Yang; Ibrahim Zamit; Yu Liu; Jieyue He (BMC Bioinform., 2019)

Hybrid attentional memory network for computational drug repositioning. - Jieyue He; Xinxing Yang; Zhuo Gong; Ibrahim Zamit (BMC Bioinform., 2020)

KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine. - Shuchen Li; Wei Wang; Jieyue He (BIBM, 2021)

HGNA-HTI: Heterogeneous graph neural network with attention mechanism for prediction of herb-target interactions. - Wenhui Zhao; Hao Wu; Jieyue He (BIBM, 2021)

KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions. - Zhuo Gong; Naixin Zhang; Jieyue He (ICIC (3), 2021)

Attention based adversarially regularized learning for network embedding. - Jieyue He; Jinmeng Wang; Zhizhou Yu (Data Min. Knowl. Discov., 2021)

AFGSL: Automatic Feature Generation based on Graph Structure Learning. - Yu Wu; Xin Xi; Jieyue He (Knowl. Based Syst., 2022)

RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine. - Hua Pu; Jiacong Mi; Shan Lu; Jieyue He (BIBM, 2023)

Finformer: A Static-dynamic Spatiotemporal Framework for Stock Trend Prediction. - Yi Zu; Jiacong Mi; Lingning Song; Shan Lu; Jieyue He (IEEE Big Data, 2023)

MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures. - Zhuoyuan Wang; Jiacong Mi; Shan Lu; Jieyue He (CoRR, 2023)

HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning. - Naixin Zhang; Jinmeng Wang; Jieyue He (Data Min. Knowl. Discov., 2023)

Type-based Neural Link Prediction Adapter for Complex Query Answering. - Lingning Song; Yi Zu; Shan Lu; Jieyue He (CoRR, 2024)

ACDNet: Attention-guided Collaborative Decision Network for effective medication recommendation. - Jiacong Mi; Yi Zu; Zhuoyuan Wang; Jieyue He (J. Biomed. Informatics, 2024)

AGHINT: Attribute-guided representation learning on heterogeneous information networks with transformer. - Jinhui Yuan; Shan Lu; Peibo Duan; Jieyue He (Knowl. Based Syst., 2025)