Kaiyang Zhong

According to our database, Kaiyang Zhong authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Inferring anti-viral drugs using nonnegative matrix factorization with self-paced learning and hypergraph regularization.

Yong Tang, Zhongming Xie, Yuhan Fan, Kaiyang Zhong, Muhammet Deveci

Expert Syst. Appl., 2026

2025

Fine-grained entity typing based on hyperbolic representation and label-context interaction.

Mingying Xu, Wenxuan Zhang, Jie Liu, Weiping Ding, Lei Shi, Kaiyang Zhong

Inf. Sci., 2025

MRRFGNN: Multi-relation reconstruction and fusion graph neural network for stock crash prediction.

Jun Wang, Lei Liao, Kaiyang Zhong, Muhammet Deveci, Philippe du Jardin, Jinghua Tan, Seifedine Nimer Kadry

Inf. Sci., 2025

LUD-YOLO: A novel lightweight object detection network for unmanned aerial vehicle.

Qingsong Fan, Yiting Li, Muhammet Deveci, Kaiyang Zhong, Seifedine Nimer Kadry

Inf. Sci., 2025

2024

ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer.

Jianlei Kong, Xiaomeng Fan, Min Zuo, Muhammet Deveci, Xuebo Jin, Kaiyang Zhong

Inf. Fusion, March, 2024

Asset pricing via fused deep learning with visual clues.

Jinghua Tan, Muhammet Deveci, Juan Li, Kaiyang Zhong

Inf. Fusion, February, 2024

Intelligent extraction of medical entity relationship based on graph neural network and optimization strategy.

Pengtao Lv, Qinghui Zhang, Meng Wu, Muhammet Deveci, Lei Shi, Yaya Sun, Kaiyang Zhong, Jingping Wang

Knowl. Based Syst., 2024

Exploring on role of location in intelligent news recommendation from data analysis perspective.

Pengtao Lv, Qinghui Zhang, Lei Shi, Zhenhan Guan, Yanfeng Fan, Jie Li, Kaiyang Zhong, Muhammet Deveci

Inf. Sci., 2024

Enhancing Software Effort Estimation through Reinforcement Learning-based Project Management-Oriented Feature Selection.

Haoyang Chen, Botong Xu, Kaiyang Zhong

CoRR, 2024

2023

Scene Graph Semantic Inference for Image and Text Matching.

Jiaming Pei, Kaiyang Zhong, Zhi Yu, Lukun Wang, Kuruva Lakshmanna

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

PAC: Partial Area Clustering for Re-Adjusting the Layout of Traffic Stations in City's Public Transport.

Jiaming Pei, Kaiyang Zhong, Jinhai Li, Zhi Yu

IEEE Trans. Intell. Transp. Syst., January, 2023

2022

ECNN: evaluating a cluster-neural network model for city innovation capability.

Jiaming Pei, Kaiyang Zhong, Jinhai Li, Jiyuan Xu, Xinyi Wang

Neural Comput. Appl., 2022

Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network.

Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan, Kaiyang Zhong

Inf. Sci., 2022

2021

Multiobjective Optimization regarding Vehicles and Power Grids.

Kaiyang Zhong, Ping Wang, Jiaming Pei, Jiyuan Xu, Zonglin Han, Jiawen Xu

Wirel. Commun. Mob. Comput., 2021

Knowledge Mapping of Green Technology Visualization with Bibliometric Tools.

Shiliang Xia, Kaiyang Zhong

Sci. Program., 2021

Super efficiency SBM-DEA and neural network for performance evaluation.

Kaiyang Zhong, Yifan Wang, Jiaming Pei, Shimeng Tang, Zonglin Han

Inf. Process. Manag., 2021

Communication-Efficient Federated Learning with Multi-layered Compressed Model Update and Dynamic Weighting Aggregation.

Kaiyang Zhong, Guiquan Liu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021