Items where Author is "Yu, Yonghong"

Wall, Conor, Zhang, Li, Yu, Yonghong, Kumar, Akshi and Gao, Rong (2022) A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs. Sensors, 22 (15). p. 5566. ISSN 1424-8220

Slade, Samuel, Zhang, Li, Yu, Yonghong and Lim, Chee Peng (2022) An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images. Neural Computing and Applications, 34 (11). pp. 9205-9231. ISSN 0941-0643

Yu, Yonghong, Chen, Xuewen, Zhang, Li, Gao, Rong and Gao, Haiyan (2022) Neural Graph for Personalized Tag Recommendation. IEEE Intelligent Systems, 37 (1). pp. 51-59. ISSN 1541-1672

Xie, Hailun, Zhang, Li, Lim, Chee Peng, Yu, Yonghong and Liu, Han (2021) Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models. Sensors, 21 (5). p. 1816. ISSN 1424-8220

Yu, Yonghong, Jiao, Lihong, Zhou, Ningning, Zhang, Li and Yin, Hongzhi (2020) Enhanced factorization machine via neural pairwise ranking and attention networks. Pattern Recognition Letters, 140. pp. 348-357. ISSN 0167-8655

Wall, Conor, Young, Fraser, Zhang, Li, Phillips, Emma-Jane, Jiang, Richard and Yu, Yonghong (2020) Deep learning based melanoma diagnosis using dermoscopic images. In: Developments of Artificial Intelligence Technologies in Computation and Robotics. World Scientific Proceedings Series on Computer Engineering and Information Science, 12 . World Scientific, Singapore, pp. 907-914. ISBN 9789811223327, 9789811223341, 9789811223334

Chen, Xuewen, Yu, Yonghong, Jiang, Fengyixin, Zhang, Li, Gao, Rong and Gao, Haiyan (2020) Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, Piscataway, NJ. ISBN 9781728169279 ; 9781728169262

Jiao, Lihong, Yu, Yonghong, Zhou, Ningning, Zhang, Li and Yin, Hongzhi (2020) Neural Pairwise Ranking Factorization Machine for Item Recommendation. In: Database Systems for Advanced Applications: 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings, Part I. Lecture Notes in Computer Science (12112). Springer, Cham, pp. 680-688. ISBN 9783030594091, 9783030594107

Xie, Hailun, Zhang, Li, Lim, Chee Peng, Yu, Yonghong, Liu, Chengyu, Liu, Han and Walters, Julie (2019) Improving K-means clustering with enhanced Firefly Algorithms. Applied Soft Computing, 84. p. 105763. ISSN 1568-4946

Yu, Yonghong, Wang, Qiang, Zhang, Li, Wang, Can, Wu, Sifan, Qi, Boyu and Wu, Xiaotian (2019) Integrating Social Circles and Network Representation Learning for Item Recommendation. In: IJCNN 2019 - 2019 International Joint Conference on Neural Networks, 14th - 19th July 2019, Budapest, Hungary.

Wang, Qiang, Yu, Yonghong, Gao, Haiyan, Zhang, Li, Cao, Yang, Mao, Lin, Dou, Kaiqi and Ni, Wenye (2019) Network Representation Learning Enhanced Recommendation Algorithm. IEEE Access. ISSN 2169-3536

Tan, Teck Yan, Zhang, Li, Lim, Chee Peng, Fielding, Ben, Yu, Yonghong and Anderson, Emma (2019) Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization. IEEE Access, 7. pp. 34004-34019. ISSN 2169-3536

Yu, Yonghong, Zhang, Li, Wang, Can, Gao, Rong, Zhao, Weibin and Jiang, Jing (2019) Neural Personalized Ranking via Poisson Factor Model for Item Recommendation. Complexity, 2019. p. 3563674. ISSN 1076-2787

Yu, Yonghong, Wang, Can, Zhang, Li, Gao, Rong and Wang, Hua (2018) Geographical Proximity Boosted Recommendation Algorithms for Real Estate. In: Web Information Systems Engineering – WISE 2018. Lecture Notes in Computer Science, 11234 . Springer, pp. 51-66. ISBN 978-3-030-02924-1