Kaiyang Zhong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Anomaly Detection

Optimization Strategy

Reinforcement Learning

Top Venues

Comput. Networks

ACM Trans. Asian Low Resour. Lang. Inf. Process.

Publications

Jinghua Tan, Muhammet Deveci, Juan Li, Kaiyang Zhong
Asset pricing via fused deep learning with visual clues. Inf. Fusion 102 (2024)
Jianlei Kong, Xiaomeng Fan, Min Zuo, Muhammet Deveci, Xuebo Jin, Kaiyang Zhong
ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer. Inf. Fusion 103 (2024)
Haoyang Chen, Botong Xu, Kaiyang Zhong
Enhancing Software Effort Estimation through Reinforcement Learning-based Project Management-Oriented Feature Selection. CoRR (2024)
Pengtao Lv, Qinghui Zhang, Lei Shi, Zhenhan Guan, Yanfeng Fan, Jie Li, Kaiyang Zhong, Muhammet Deveci
Exploring on role of location in intelligent news recommendation from data analysis perspective. Inf. Sci. 662 (2024)
Pengtao Lv, Qinghui Zhang, Meng Wu, Muhammet Deveci, Lei Shi, Yaya Sun, Kaiyang Zhong, Jingping Wang
Intelligent extraction of medical entity relationship based on graph neural network and optimization strategy. Knowl. Based Syst. 294 (2024)
Jiaming Pei, Kaiyang Zhong, Jinhai Li, Zhi Yu
PAC: Partial Area Clustering for Re-Adjusting the Layout of Traffic Stations in City's Public Transport. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Jiaming Pei, Kaiyang Zhong, Mian Ahmad Jan, Jinhai Li
Retraction notice to 'Personalized Federated Learning Framework for Network Traffic Anomaly Detection'. Comput. Networks 234 (2023)
Jiaming Pei, Kaiyang Zhong, Zhi Yu, Lukun Wang, Kuruva Lakshmanna
Scene Graph Semantic Inference for Image and Text Matching. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (5) (2023)
Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan, Kaiyang Zhong
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network. Inf. Sci. 617 (2022)
Jiaming Pei, Kaiyang Zhong, Jinhai Li, Jiyuan Xu, Xinyi Wang
ECNN: evaluating a cluster-neural network model for city innovation capability. Neural Comput. Appl. 34 (15) (2022)
Jiaming Pei, Kaiyang Zhong, Mian Ahmad Jan, Jinhai Li
Personalized federated learning framework for network traffic anomaly detection. Comput. Networks 209 (2022)
Shiliang Xia, Kaiyang Zhong
Knowledge Mapping of Green Technology Visualization with Bibliometric Tools. Sci. Program. 2021 (2021)
Kaiyang Zhong, Guiquan Liu
Communication-Efficient Federated Learning with Multi-layered Compressed Model Update and Dynamic Weighting Aggregation. CICAI (2) (2021)
Kaiyang Zhong, Yifan Wang, Jiaming Pei, Shimeng Tang, Zonglin Han
Super efficiency SBM-DEA and neural network for performance evaluation. Inf. Process. Manag. 58 (6) (2021)
Kaiyang Zhong, Ping Wang, Jiaming Pei, Jiyuan Xu, Zonglin Han, Jiawen Xu
Multiobjective Optimization regarding Vehicles and Power Grids. Wirel. Commun. Mob. Comput. 2021 (2021)