Yin, Jianwei

Generative Semi-supervised Learning for Multivariate Time Series Imputation

Miao, X., Wu, Y., Wang, J., Gao, Y., Mao, X., & Yin, J. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingGenerative Adversarial Networks and Image Synthesis

Cited by 210

RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing

Zhang, Z., Zhao, T., Guo, Y., & Yin, J. (2023) · arXiv

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 144

Deep active learning for object detection

Li, Y., Fan, B., Zhang, W., Ding, W., & Yin, J. (2021) · Information Sciences

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 60

ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis

Liu, Y., Peng, X., Du, T., Yin, J., Liu, W., & Zhang, X. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 22

Workload Classification Model for Specializing Virtual Machine Operating System

Zhao, X., Yin, J., Chen, Z., & He, S. (2013) · 2013 IEEE Sixth International Conference on Cloud Computing

Cloud Computing and Resource ManagementParallel Computing and Optimization Techniques

Cited by 14