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Jieyue He
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2020 – today
- 2024
- [j16]Jiacong Mi
, Yi Zu
ACDNet: Attention-guided Collaborative Decision Network for effective medication recommendation. J. Biomed. Informatics 149: 104570 (2024) - [i6]Lingning Song, Yi Zu, Shan Lu, Jieyue He:
Type-based Neural Link Prediction Adapter for Complex Query Answering. CoRR abs/2401.16045 (2024) - [i5]Jinhui Yuan, Shan Lu, Peibo Duan, Jieyue He:
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer. CoRR abs/2404.10443 (2024) - 2023
- [j15]Naixin Zhang, Jinmeng Wang, Jieyue He:
HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning. Data Min. Knowl. Discov. 37(2): 521-551 (2023) - [c21]Hua Pu, Jiacong Mi, Shan Lu, Jieyue He:
RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine. BIBM 2023: 4615-4622 - [c20]Yi Zu
Finformer: A Static-dynamic Spatiotemporal Framework for Stock Trend Prediction. IEEE Big Data 2023: 1460-1469 - [i4]Jiacong Mi, Yi Zu, Zhuoyuan Wang, Jieyue He:
ACDNet: Attention-guided Collaborative Decision Network for Effective Medication Recommendation. CoRR abs/2307.03332 (2023) - [i3]Zhuoyuan Wang, Jiacong Mi, Shan Lu, Jieyue He:
MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures. CoRR abs/2311.16666 (2023) - [i2]Hua Pu, Jiacong Mi, Shan Lu, Jieyue He:
RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine. CoRR abs/2311.17307 (2023) - 2022
- [j14]Yu Wu, Xin Xi, Jieyue He:
AFGSL: Automatic Feature Generation based on Graph Structure Learning. Knowl. Based Syst. 238: 107835 (2022) - 2021
- [j13]Jieyue He, Jinmeng Wang, Zhizhou Yu:
Attention based adversarially regularized learning for network embedding. Data Min. Knowl. Discov. 35(5): 2112-2140 (2021) - [c19]Shuchen Li, Wei Wang, Jieyue He:
KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine. BIBM 2021: 450-455 - [c18]Wenhui Zhao, Hao Wu, Jieyue He:
HGNA-HTI: Heterogeneous graph neural network with attention mechanism for prediction of herb-target interactions. BIBM 2021: 3949-3956 - [c17]Zhuo Gong, Naixin Zhang, Jieyue He:
KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions. ICIC (3) 2021: 148-161 - 2020
- [j12]Jieyue He
Hybrid attentional memory network for computational drug repositioning. BMC Bioinform. 21-S(1): 566 (2020) - [i1]Jieyue He, Xinxing Yang, Zhuo Gong, Ibrahim Zamit:
Hybrid Attentional Memory Network for Computational drug repositioning. CoRR abs/2006.06910 (2020)
2010 – 2019
- 2019
- [j11]Wenmao Wu, Zhizhou Yu, Jieyue He:
A semi-supervised deep network embedding approach based on the neighborhood structure. Big Data Min. Anal. 2(3): 205-216 (2019) - [j10]Xinxing Yang
Additional Neural Matrix Factorization model for computational drug repositioning. BMC Bioinform. 20(1): 423:1-423:11 (2019) - 2014
- [j9]Jieyue He, Chunyan Wang, Kunpu Qiu, Wei Zhong:
An novel frequent probability pattern mining algorithm based on circuit simulation method in uncertain biological networks. BMC Syst. Biol. 8(S-3): S6 (2014) - [j8]Wei Zhong, Jieyue He, Xiujuan Chen, Yi Pan
Multi-level clustering support vector machine trees for improved protein local structure prediction. Int. J. Data Min. Bioinform. 9(2): 172-198 (2014) - [c16]Shengqiang Yao, Jieyue He:
An Efficient OLAP Query Algorithm Based on Dimension Hierarchical Encoding Storage and Shark. ICSI (2) 2014: 180-187 - 2013
- [c15]Chunyan Wang, Kunpu Qiu, Wei Zhong, Jieyue He:
Discovering frequent probability pattern in uncertain biological networks by circuit simulation method. BIBM 2013: 619 - [c14]Huan Xu, Hao Luo, Jieyue He:
What-If Query Processing Policy for Big Data in OLAP System. CBD 2013: 110-116 - 2012
- [j7]Jieyue He, Chaojun Li, Baoliu Ye, Wei Zhong:
Efficient and accurate greedy search methods for mining functional modules in protein interaction networks. BMC Bioinform. 13(S-10): S19 (2012) - [j6]Wei Zhong, Rick Chow, Jieyue He:
Clinical charge profiles prediction for patients diagnosed with chronic diseases using Multi-level Support Vector Machine. Expert Syst. Appl. 39(1): 1474-1483 (2012) - 2011
- [c13]Chaojun Li, Jieyue He, Baoliu Ye, Wei Zhong:
A Novel Core-Attachment Based Greedy Search Method for Mining Functional Modules in Protein Interaction Networks. ISBRA 2011: 332-343 - 2010
- [j5]Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan:
Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction. Int. J. Data Min. Bioinform. 4(3): 316-330 (2010)
2000 – 2009
- 2009
- [j4]Jieyue He, Fang Zhou, Wei Zhong, Yi Pan:
Gene subsets extraction based on Mutual-Information-based Minimum Spanning Trees model. Int. J. Comput. Biol. Drug Des. 2(2): 187-203 (2009) - [c12]Jieyue He, Robert W. Harrison
Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. BIBE 2009: 168-175 - [c11]Wei Zhong, Rick Chow, Jieyue He, Richard Stolz, Marsha Dowell:
Multi-Level Support Vector Machines for Classifying Large Chronic Disease Datasets. BIOCOMP 2009: 370-375 - 2008
- [c10]Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan:
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm. BIBM 2008: 98-103 - [c9]Wei Zhong, Rick Chow, Richard Stolz, Jieyue He, Marsha Dowell:
Hierarchical Clustering Support Vector Machines for Classifying Type-2 Diabetes Patients. ISBRA 2008: 379-389 - [p1]Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison
Rule Extraction from SVM for Protein Structure Prediction. Rule Extraction from Support Vector Machines 2008: 227-252 - 2007
- [j3]Wei Zhong, Jieyue He, Robert W. Harrison
Clustering support vector machines for protein local structure prediction. Expert Syst. Appl. 32(2): 518-526 (2007) - [c8]Wei Zhong, Jieyue He, Yi Pan:
Multiclass Fuzzy Clustering Support Vector Machines for Protein Local Structure Prediction. BIBE 2007: 21-26 - [c7]Fang Zhou, Jieyue He, Wei Zhong:
Mutual Information based Minimum Spanning Trees Model for Selecting Discriminative Genes. BIBE 2007: 1051-1055 - [c6]Chao Xie, Jieyue He:
High Performance Data Mining and Applications Overview. PAKDD Workshops 2007: 229-230 - [e1]Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire:
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4819, Springer 2007, ISBN 978-3-540-77016-9 [contents] - 2006
- [j2]Jieyue He, Hae-Jin Hu, Robert W. Harrison
Transmembrane segments prediction and understanding using support vector machine and decision tree. Expert Syst. Appl. 30(1): 64-72 (2006) - [c5]Jieyue He, Wei Zhong, Robert W. Harrison
Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. International Conference on Computational Science (2) 2006: 710-717 - 2005
- [j1]Vijaya Smitha Kolli, Hui Liu, Jieyue He, Michelle Hong Pan, Yi Pan:
Calculating Genomic Distances in Parallel Using OpenMP. Trans. Comp. Sys. Biology 2: 113-123 (2005) - [c4]Hae-Jin Hu, Phang C. Tai, Robert W. Harrison
Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. CSB Workshops 2005: 213-214 - [c3]Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison
Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. CSB Workshops 2005: 224-227 - [c2]Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan:
Understanding Protein Structure Prediction Using SVM_DT. ISPA Workshops 2005: 203-212 - 2003
- [c1]Jieyue He, Hongqiang Rong, Zongwei Luo, Joshua Zhexue Huang, Frank Tong:
Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals. ICWS-Europe 2003: 198-212
Coauthor Index
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last updated on 2024-08-20 20:27 CEST by the dblp team
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