Kuiye Ding

According to our database, Kuiye Ding authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting.

Kuiye Ding, Fanda Fan, Zheya Wang, Hongxiao Li, Yifan Wang, Lei Wang, Chunjie Luo, Jianfeng Zhan

CoRR, October, 2025

TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding.

Kuiye Ding, Fanda Fan, Chunyi Hou, Zheya Wang, Lei Wang, Zhengxin Yang, Jianfeng Zhan

CoRR, September, 2025

DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework.

Kuiye Ding, Fanda Fan, Yao Wang, Ruijie jian, Xiaorui Wang, Luqi Gong, Yishan Jiang, Chunjie Luo, Jianfeng Zhan

CoRR, July, 2025

2024

Scd-yolo: a novel object detection method for efficient road crack detection.

Kuiye Ding, Zhenhui Ding, Zengbin Zhang, Mao Yuan, Guangxiao Ma, Guohua Lv

Multim. Syst., December, 2024

An Adaptive VM Allocation Approach for Mitigating Co-resident Attack in Cloud Based on Improved NSGA-II.

Xin Yang, Jintao Chen, Kuiye Ding, Chao Liu, Jiashen Liu, Songyao Hou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

UB-CRAF: A User Behavior-Driven Co-resident Risk Assessment Framework for Dynamically Migrating VMs in Clouds.

Kuiye Ding, Xin Yang, Jintao Chen, Chao Liu, Songyao Hou, Wenyuan Yang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

LOLWTC: A Deep Learning Approach for Detecting Living Off the Land Attacks.

Kuiye Ding, Shuhui Zhang, Feifei Yu, Guangqi Liu

Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023