何洁月

[1] Yu Wu, Xin Xi, Jieyue He, AFGSL: Automatic Feature Generation based on Graph Structure Learning, Knowledge-Based Systems, Volume 238, 2022, 107835, ISSN 0950-7051.

[2] Jieyue He, Wang J. & Yu Z. Attention based adversarially regularized learning for network embedding, Data Min Knowledge, 2021.10.

[3] Jieyue He; Xinxing Yang; Zhuo Gong; Ibrahim Zamit. Hybrid Attentional Memory Network for Computational drug repositioning. BMC Bioinformatics 21, 566 (2020).

[4] Xinxing Yang, lbrahim Zamit, Yu Liu, Jieyue He： Additional Neural Matrix Factorization model for computational drug repositioning, BMC Bioinformatics,20 (1), 2019.

[5] W. Wu, Z. Yu and J. He, A semi-supervised deep network embedding approach based on the neighborhood structure, Big Data Mining and Analytics, vol. 2, no. 3, pp. 205-216, September 2019.

[6] Y. Liu, S. Wang,MS Khan,J. He: A novel deep hybrid recommender system based on auto-encoder with neural collaborative filtering. Big Data Mining & Analytics, 2018 , 1 (3) :211-221.

[7] 何洁月，马贝：利用社交关系的实值条件受限玻尔兹曼机协同过滤推荐算法.计算机学报，2016（1）.

[8] 何洁月，沈斌：基于路径信息比较的图同构新算法，Novel graph isomorphism algorithm based on path information comparison.东南大学学报，2015年02期，pages:236-240.

[9] Bin Shen, Muwei Zhao, Wei Zhong, and Jieyue He: An Improved Method for Completely Uncertain Biological Network Alignment, BioMed Research International, vol. 2015, Article ID 253854, 11 pages, 2015. WOS:000354292100001.

[10] Jieyue He, Chunyan Wang, Kunpu Qiu1 and Wei Zhong: An novel frequent probability pattern mining algorithm based on circuit simulation method in uncertain biological networks. BMC Systems Biology 2014, 8(Suppl 3):S6 , WOS:000345689000005.

[11] Muwei Zhao，Wei Zhong，Jieyue He* :PBNA: An Improved Probabilistic Biological Network Alignment Method. Tsinghua Science and Technology, 6,2014.

[12] Jieyue He,Chaojun Li, Baoliu Ye, Wei Zhong:Efficient and accurate greedy search methods for mining functional modules in protein interaction networks. BMC Bioinformatics 2012, 13(Suppl 10):S19.

[13] 何洁月，赵德京：一种高效的生物网络概率模体发现算法[J]，东南大学学报:自然科学版，2012,42（1）

[14] 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. International Journal of Data Mining and Bioinformatics IJDMB 4(3): 316-330 (2010)

[15] Jieyue He, Fang Zhou, Wei Zhong, Yi Pan: Gene subsets extraction based on Mutual-Information-based Minimum Spanning Trees model. I. J. Computational Biology and Drug Design 2(2): 187-203 (2009)

[16] 周肪，何洁月：“生物信息学中基因芯片的特征选择技术综述”，计算机科学，2007年 第34卷 第12期.

[17] Jieyue He, Hae-Jin Hu, Robert Harrison, Phang C. Tai, and Yi Pan, ``Rule Generation for Protein Secondary Structure Prediction with Support Vector Machines and Decision Tree,'' IEEE Transactions on NanoBioscience, March 2006,Vol.5, No.1:pp.46-53.

[18] Jieyue He, Hae-Jin Hu, Robert Harrison, Phang C. Tai, and Yi Pan, Transmembrane Segments Prediction and Understanding using Support Vector Machine and Decision Tree, Special Issue of Expert Systems with Applications: An International Journal on Intelligent Bioinformatics Systems, January 2006,Vol. 30, No. 1:pp. 64-72.

[1] Shuchen Li, Wei Wang, and Jieyue He. KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine, International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 Dec. 2021. DOI: 10.1109/BIBM52615.2021.9669769.

[2] Gong Z., Zhang N., He J. KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions, Intelligent Computing Theories and Application. ICIC 2021,10.

[3] W. Zhao, H. Wu, J. He. HGNA-HTI: Heterogeneous graph neural network with attention mechanism for prediction of herb-target interactions, International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 Dec. 2021.DOI: 10.1109/BIBM52615.2021.9669308

[4] Wenmao Wu, Zhizhou Yu, and Jieyue He: A Semi-Supervised Deep Network Embedding Approach Based on the Neighborhood Structure,（CCF BigData 2018），2018.10.11-13.西安（获得最佳学生论文奖）

[5] 何洁月，王帅，罗浩：基于度量空间的并行top-k dominating查询，CCF-Bigdata2016,10月，兰州

[6] 王春艳，郑承俊，何洁月：基于序号的非树形子图并行搜索，（CCF BigData 2015），2015.10.20-21.合肥

[7] Shengqiang Yao, Jieyue He: An efficient OLAP query algorithm based on dimension hierarchical encoding storage and shark. Lecture Notes in Computer Science, v 8795, p 180-187, 2014.

[8] Chunyan Wang, Kunpu Qiu, Wei Zhong, Jieyue He: Discovering frequent probability pattern in uncertain biological networks by circuit simulation method. Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013, p 619, 2013. Accession number: 20141017414336

[9] Huan Xu , Hao Luo,Jieyue He : What-if query processing policy for big data in OLAP system. Proceedings - 2013 International Conference on Advanced Cloud and Big Data, CBD 2013, p 110-116, 2013. Accession number: 20142817910329

[10] 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.

[11] Jiaji Zhou, Desheng Kong, Jieyue He: Degree-Based Sampling Method with Partition-Based Subgraph Finder for Larger Motif Detection. Applied Mechanics and Materials, volumes135-136, 509(2011)

[12] Jieyue He, Pingping Chen, Dejing Zhao,wei zhong: Enhancing Prediction understandability For Transmembane Segments By BoostingFOIL, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems,shanghai,2009

[13] Fang Zhou, Jieyue He, Wei Zhong: Mutual Information based Minimum Spanning Trees Model for Selecting Discriminative Genes. BIBE 2007: 1051-1055

[14] Jieyue He#, Wei Zhong, Robert Harrison, Phang C. Tai and Yi Pan. Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction, International conference on computational science(2) (Lecture Notes in Computer Science),2006,vol3992:pp.710-717