Yu, Jun

A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT

Zhou, C., Li, Q., Li, C., Yu, J., Liu, Y., Wang, G., Zhang, K., Ji, C., Yan, Q., He, L., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 574

ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

Yu, Z., Xu, D., Yu, J., Yu, T., Zhao, Z., Zhuang, Y., & Tao, D. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 281

Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals

Fan, H., Zhang, X., Xu, Y., Fang, J., Zhang, S., Zhao, X., & Yu, J. (2024) · Information Fusion

Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring

Cited by 137

Multi-task paired masking with alignment modeling for medical vision-language pre-training

Zhang, K., Yang, Y., Yu, J., Jiang, H., Fan, J., Huang, Q., & Han, W. (2024) · IEEE Transactions on Multimedia

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 51

Systemic evolutionary chemical space exploration for drug discovery

Lu, C., Liu, S., Shi, W., Yu, J., Zhou, Z., Zhang, X., Lu, X., Cai, F., Xia, N., & Wang, Y. (2022) · Journal of Cheminformatics

Computational Drug Discovery MethodsChemical Synthesis and Analysis

Cited by 30