l [1]Jiacong Mi, Yi Zu, Zhuoyuan Wang, Jieyue He，ACDNet: Attention-guided Collaborative Decision Network for effective medication recommendation，Journal of Biomedical Informatics，Volume 149, January 2024.
l [2]Hua Pu, Jiacong Mi, Shan Lu, Jieyue He,RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine,BIBM 2023,12.
l [3]Yi Zu, Jiacong Mi, Lingning Song, Shan Lu and Jieyue He,Finformer: A Static-dynamic Spatiotemporal Framework for Stock Trend Prediction,IEEE BigData,2023,12.
l [4] Zhang, N., Wang, J. & He, J. HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning. Data Min Knowl Disc 37, 521–551 (2023).
l [5]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.
l [6]Jieyue He, Wang J. & Yu Z. Attention based adversarially regularized learning for network embedding, Data Min Knowledge, 2021.10.
l [7]S. Li, W. Wang and J. He, KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston, TX, USA.
l [8]Jieyue He; Xinxing Yang; Zhuo Gong; Ibrahim Zamit. Hybrid Attentional Memory Network for Computational drug repositioning. BMC Bioinformatics 21, 566 (2020)
l [9]Xinxing Yang, lbrahim Zamit, Yu Liu, Jieyue He： Additional Neural Matrix Factorization model for computational drug repositioning, BMC Bioinformatics,20 (1), 2019.
l [10]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.
l [11]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.
l [12]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.
l [13]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.
l [14]Muwei Zhao，Wei Zhong，Jieyue He* :PBNA: An Improved Probabilistic Biological Network Alignment Method. Tsinghua Science and Technology, 6,2014.
l [15]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.
