Jin, Ming

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Jin, M., Koh, H. Y., Wen, Q., Zambon, D., Alippi, C., Webb, G. I., King, I., & Pan, S. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingAdvanced Graph Neural Networks

Cited by 567

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

Zhang, K., Wen, Q., Zhang, C., Cai, R., Jin, M., Liu, Y., Zhang, J. Y., Liang, Y., Pang, G., Song, D., et al. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 295

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Jin, M., Wang, S., Ma, L., Chu, Z., Zhang, J. Y., Shi, X., Chen, P.-Y., Liang, Y., Li, Y.-F., Pan, S., et al. (2023) · arXiv

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 276

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Sel, B., Al-Tawaha, A., Khattar, V., Jia, R., & Jin, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15