| 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 | 443 | 2018 |
| 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 | 318 | 2018 |
| 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 | 202 | 2007 |
| 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 | 105 | 2020 |
| 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 | 95 | 2020 |
| 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 | 75 | 2019 |
| 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 | 57 | 2021 |
| 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 | 56 | 2020 |
| 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 | 37 | 2017 |
| 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 | 34 | 2019 |
| Relation path embedding in knowledge graphs X Lin, Y Liang, F Giunchiglia, X Feng, R Guan Neural Computing and Applications 31, 5629-5639, 2019 | 29 | 2019 |
| Quantum-inspired evolutionary algorithm for travelling salesman problem XY Feng, Y Wang, HW Ge, CG Zhou, YC Liang Computational methods, 1363-1367, 2006 | 26 | 2006 |
| 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 | 26 | 2005 |
| 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 | 21 | 2019 |
| 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 | 19 | 2022 |
| 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 | 18 | 2018 |
| 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 | 17 | 2022 |
| 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 | 13 | 2006 |
| 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 | 12 | 2019 |
| Vpalg: Paper-publication prediction with graph neural networks R Guan, Y Liu, X Feng, X Li Proceedings of the 30th ACM International Conference on Information …, 2021 | 11 | 2021 |
Renchu Guan 管仁初"Tang Aoqing Scholar" Leading Professor, Jilin University在 jlu.edu.cn 的电子邮件经过验证
