Rongyao Cai

According to our database, Rongyao Cai authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

QuitoBench: A High-Quality Open Time Series Forecasting Benchmark.

Siqiao Xue, Zhaoyang Zhu, Wei Zhang, Rongyao Cai, Rui Wang, Yixiang Mu, Fan Zhou, Jianguo Li, Peng Di, Hang Yu

CoRR, March, 2026

Parallel Complex Diffusion for Scalable Time Series Generation.

Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Zhiqiang Ge, Qingsong Wen, Yong Liu

CoRR, February, 2026

KFS: KAN based adaptive frequency selection learning architecture for long-term time series forecasting.

Changning Wu, Gao Wu, Rongyao Cai, Yong Liu, Kexin Zhang

Adv. Eng. Informatics, 2026

2025

The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss.

Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Hao Wang, Zhiqiang Ge, Daoyi Dong, Yong Li, Qingsong Wen

CoRR, December, 2025

From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation.

Rongyao Cai, Ming Jin, Qingsong Wen, Kexin Zhang

CoRR, July, 2025

Adversarial Multimodal Contrastive Learning for Robust Industrial Fault Diagnosis.

Rongyao Cai, Kexin Zhang, Hanchen Tai, Yang Zhou, Yuanyuan Ding, Chunlin Zhou, Yong Liu

IEEE Trans. Instrum. Meas., 2025

2024

Debiased Contrastive Learning With Supervision Guidance for Industrial Fault Detection.

Rongyao Cai, Wang Gao, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu

IEEE Trans. Ind. Informatics, November, 2024

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

LiteGrasp: A Light Robotic Grasp Detection via Semi-Supervised Knowledge Distillation.

Linpeng Peng, Rongyao Cai, Jingyang Xiang, Junyu Zhu, Weiwei Liu, Wang Gao, Yong Liu

IEEE Robotics Autom. Lett., September, 2024

Debiased Contrastive Learning for Time-Series Representation Learning and Fault Detection.

Kexin Zhang, Rongyao Cai, Chunlin Zhou, Yong Liu

IEEE Trans. Ind. Informatics, May, 2024

DCS: Debiased Contrastive Learning with Weak Supervision for Time Series Classification.

Rongyao Cai, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan

CoRR, 2023