Communication-Efficient Federated Learning with Multi-layered Compressed Model Update and Dynamic Weighting Aggregation. - Kaiyang Zhong; Guiquan Liu (CICAI (2), 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)

Knowledge Mapping of Green Technology Visualization with Bibliometric Tools. - Shiliang Xia; Kaiyang Zhong (Sci. Program., 2021)

Multiobjective Optimization regarding Vehicles and Power Grids. - Kaiyang Zhong; Ping Wang 059; Jiaming Pei; Jiyuan Xu; Zonglin Han; Jiawen Xu (Wirel. Commun. Mob. Comput., 2021)

Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network. - Jun Wang 089; Hanlei Jin; Junxiao Chen; Jinghua Tan; Kaiyang Zhong (Inf. Sci., 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)

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., 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., 2023)

Enhancing Software Effort Estimation through Reinforcement Learning-based Project Management-Oriented Feature Selection. - Haoyang Chen; Botong Xu; Kaiyang Zhong (CoRR, 2024)

Exploring on role of location in intelligent news recommendation from data analysis perspective. - Pengtao Lv; Qinghui Zhang; Lei Shi 030; Zhenhan Guan; Yanfeng Fan; Jie Li; Kaiyang Zhong; Muhammet Deveci (Inf. Sci., 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 030; Yaya Sun; Kaiyang Zhong; Jingping Wang (Knowl. Based Syst., 2024)

Asset pricing via fused deep learning with visual clues. - Jinghua Tan; Muhammet Deveci; Juan Li; Kaiyang Zhong (Inf. Fusion, 2024)

ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer. - Jianlei Kong; Xiaomeng Fan; Min Zuo; Muhammet Deveci; Xuebo Jin 001; Kaiyang Zhong (Inf. Fusion, 2024)

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)

MRRFGNN: Multi-relation reconstruction and fusion graph neural network for stock crash prediction. - Jun Wang 089; Lei Liao; Kaiyang Zhong; Muhammet Deveci; Philippe du Jardin; Jinghua Tan; Seifedine Nimer Kadry (Inf. Sci., 2025)

Fine-grained entity typing based on hyperbolic representation and label-context interaction. - Mingying Xu; Wenxuan Zhang; Jie Liu; Weiping Ding 001; Lei Shi 030; Kaiyang Zhong (Inf. Sci., 2025)

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)