Kaiyang Zhong

20 papers Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-graph learning framework to fuse heterogeneous market information for stock forecasting.
Expert Syst. Appl.
Zhixi Li, Jie Xiong, Jun Wang, Jinghua Tan, Philippe du Jardin, Muhammet Deveci, Kaiyang Zhong
2026 J jnl
A novel cross domain deep network for unsupervised fault diagnosis of rotating machinery.
Appl. Soft Comput.
Yiting Li, Qingsong Fan, Muhammet Deveci, Haisong Huang, Kaiyang Zhong, Amer Al-Hinai
2026 J jnl
Inferring anti-viral drugs using nonnegative matrix factorization with self-paced learning and hypergraph regularization.
Expert Syst. Appl.
Yong Tang, Zhongming Xie, Yuhan Fan, Kaiyang Zhong, Muhammet Deveci
2025 J jnl
Fine-grained entity typing based on hyperbolic representation and label-context interaction.
Inf. Sci.
Mingying Xu, Wenxuan Zhang, Jie Liu, Weiping Ding, Lei Shi, Kaiyang Zhong
2025 J jnl
Identifying potential miRNA-disease associations through an accurate matrix completion approach.
Briefings Bioinform.
Beier Li, Kaiyang Zhong, Muhammet Deveci, Yong Tang
2025 J jnl
LUD-YOLO: A novel lightweight object detection network for unmanned aerial vehicle.
Inf. Sci.
Qingsong Fan, Yiting Li, Muhammet Deveci, Kaiyang Zhong, Seifedine Nimer Kadry
2025 J jnl
MRRFGNN: Multi-relation reconstruction and fusion graph neural network for stock crash prediction.
Inf. Sci.
Jun Wang, Lei Liao, Kaiyang Zhong, Muhammet Deveci, Philippe du Jardin, Jinghua Tan, Seifedine Nimer Kadry
2024 J jnl
ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer.
Inf. Fusion
Jianlei Kong, Xiaomeng Fan, Min Zuo, Muhammet Deveci, Xuebo Jin, Kaiyang Zhong
2024 J jnl
Asset pricing via fused deep learning with visual clues.
Inf. Fusion
Jinghua Tan, Muhammet Deveci, Juan Li, Kaiyang Zhong
2024 J jnl
Enhancing Software Effort Estimation through Reinforcement Learning-based Project Management-Oriented Feature Selection.
CoRR
Haoyang Chen, Botong Xu, Kaiyang Zhong
2024 J jnl
Exploring on role of location in intelligent news recommendation from data analysis perspective.
Inf. Sci.
Pengtao Lv, Qinghui Zhang, Lei Shi, Zhenhan Guan, Yanfeng Fan, Jie Li, Kaiyang Zhong, Muhammet Deveci
2024 J jnl
Intelligent extraction of medical entity relationship based on graph neural network and optimization strategy.
Knowl. Based Syst.
Pengtao Lv, Qinghui Zhang, Meng Wu, Muhammet Deveci, Lei Shi, Yaya Sun, Kaiyang Zhong, Jingping Wang
2023 J jnl
PAC: Partial Area Clustering for Re-Adjusting the Layout of Traffic Stations in City's Public Transport.
IEEE Trans. Intell. Transp. Syst.
Jiaming Pei, Kaiyang Zhong, Jinhai Li, Zhi Yu
2023 J jnl
Scene Graph Semantic Inference for Image and Text Matching.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Jiaming Pei, Kaiyang Zhong, Zhi Yu, Lukun Wang, Kuruva Lakshmanna
2022 J jnl
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network.
Inf. Sci.
Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan, Kaiyang Zhong
2022 J jnl
ECNN: evaluating a cluster-neural network model for city innovation capability.
Neural Comput. Appl.
Jiaming Pei, Kaiyang Zhong, Jinhai Li, Jiyuan Xu, Xinyi Wang
2021 — conf
Communication-Efficient Federated Learning with Multi-layered Compressed Model Update and Dynamic Weighting Aggregation.
CICAI (2)
Kaiyang Zhong, Guiquan Liu
2021 J jnl
Knowledge Mapping of Green Technology Visualization with Bibliometric Tools.
Sci. Program.
Shiliang Xia, Kaiyang Zhong
2021 J jnl
Multiobjective Optimization regarding Vehicles and Power Grids.
Wirel. Commun. Mob. Comput.
Kaiyang Zhong, Ping Wang, Jiaming Pei, Jiyuan Xu, Zonglin Han, Jiawen Xu
2021 J jnl
Super efficiency SBM-DEA and neural network for performance evaluation.
Inf. Process. Manag.
Kaiyang Zhong, Yifan Wang, Jiaming Pei, Shimeng Tang, Zonglin Han