Следене
Xiaoyue Feng丰小月
Xiaoyue Feng丰小月
Jinlin University
Потвърден имейл адрес: jlu.edu.cn
Заглавие
Позовавания
Позовавания
Година
A content-based recommender system for computer science publications
D Wang, Y Liang, D Xu, X Feng, R Guan
Knowledge-Based Systems 157, 1-9, 2018
4112018
Text classification based on deep belief network and softmax regression
M Jiang, Y Liang, X Feng, X Fan, Z Pei, Y Xue, R Guan
Neural Computing and Applications 29, 61-70, 2018
2992018
A novel quantum swarm evolutionary algorithm and its applications
Y Wang, XY Feng, YX Huang, DB Pu, WG Zhou, YC Liang, CG Zhou
Neurocomputing 70 (4-6), 633-640, 2007
1982007
Deep feature-based text clustering and its explanation
R Guan, H Zhang, Y Liang, F Giunchiglia, L Huang, X Feng
IEEE Transactions on Knowledge and Data Engineering 34 (8), 3669-3680, 2020
872020
Feature selection may improve deep neural networks for the bioinformatics problems
Z Chen, M Pang, Z Zhao, S Li, R Miao, Y Zhang, X Feng, X Feng, Y Zhang, ...
Bioinformatics 36 (5), 1542-1552, 2020
862020
The deep learning–based recommender system “Pubmender” for choosing a biomedical publication venue: Development and validation study
X Feng, H Zhang, Y Ren, P Shang, Y Zhu, Y Liang, R Guan, D Xu
Journal of medical Internet research 21 (5), e12957, 2019
692019
Dimension reduction and clustering models for single-cell RNA sequencing data: a comparative study
C Feng, S Liu, H Zhang, R Guan, D Li, F Zhou, Y Liang, X Feng
International journal of molecular sciences 21 (6), 2181, 2020
512020
Deep attention diffusion graph neural networks for text classification
Y Liu, R Guan, F Giunchiglia, Y Liang, X Feng
Proceedings of the 2021 conference on empirical methods in natural language …, 2021
452021
Overfitting reduction of text classification based on AdaBELM
X Feng, Y Liang, X Shi, D Xu, X Wang, R Guan
Entropy 19 (7), 330, 2017
352017
Deep residual convolutional neural network for protein-protein interaction extraction
H Zhang, R Guan, F Zhou, Y Liang, ZH Zhan, L Huang, X Feng
Ieee Access 7, 89354-89365, 2019
322019
Relation path embedding in knowledge graphs
X Lin, Y Liang, F Giunchiglia, X Feng, R Guan
Neural Computing and Applications 31, 5629-5639, 2019
282019
A novel quantum swarm evolutionary algorithm for solving 0-1 knapsack problem
Y Wang, XY Feng, YX Huang, WG Zhou, YC Liang, CG Zhou
Advances in Natural Computation: First International Conference, ICNC 2005 …, 2005
262005
Quantum-inspired evolutionary algorithm for travelling salesman problem
XY Feng, Y Wang, HW Ge, CG Zhou, YC Liang
Computational methods, 1363-1367, 2006
252006
Trends in Alzheimer's disease research based upon machine learning analysis of PubMed abstracts
R Guan, X Wen, Y Liang, D Xu, B He, X Feng
International journal of biological sciences 15 (10), 2065, 2019
192019
Learning entity and relation embeddings with entity description for knowledge graph completion
S Dai, Y Liang, S Liu, Y Wang, W Shao, X Lin, X Feng
2018 2nd International Conference on Artificial Intelligence: Technologies …, 2018
162018
PNMTA: A pretrained network modulation and task adaptation approach for user cold-start recommendation
H Pang, F Giunchiglia, X Li, R Guan, X Feng
Proceedings of the ACM Web Conference 2022, 348-359, 2022
152022
一种新的量子群进化算法研究
王岩, 路春一, 丰小月, 黄艳新, 邹淑雪, 周春光
小型微型计算机系统 27 (8), 1478-1482, 2006
132006
Few-shot node classification on attributed networks with graph meta-learning
Y Liu, M Li, X Li, F Giunchiglia, X Feng, R Guan
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
102022
Compositional learning of relation path embedding for knowledge base completion
X Lin, Y Liang, F Giunchiglia, X Feng, R Guan
arXiv preprint arXiv:1611.07232, 2016
102016
Diagnosis of breast hyperplasia and evaluation of RuXian-I based on metabolomics deep belief networks
M Jiang, Y Liang, Z Pei, X Wang, F Zhou, C Wei, X Feng
International Journal of Molecular Sciences 20 (11), 2620, 2019
92019
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