Zhu, Jun

A Comprehensive Survey of Continual Learning: Theory, Method and Application

Wang, L., Zhang, X., Su, H., & Zhu, J. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 1,113

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges

Xu, F., Uszkoreit, H., Du, Y., Fan, W., Zhao, D., & Zhu, J. (2019) · Lecture Notes in Computer Science

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 758

Towards a new generation of artificial intelligence in China

Wu, F., Lu, C., Zhu, M., Chen, H., Zhu, J., Yu, K., Li, L., Li, M., Chen, Q., Li, X., et al. (2020) · Nature Machine Intelligence

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 287

Improving transferability of adversarial patches on face recognition with generative models

Xiao, Z., Gao, X., Fu, C., Dong, Y., Gao, W., Zhang, X., Zhou, J., & Zhu, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 132

Incorporating neuro-inspired adaptability for continual learning in artificial intelligence

Wang, L., Zhang, X., Li, Q., Zhang, M., Su, H., Zhu, J., & Zhong, Y. (2023) · Nature Machine Intelligence

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 91

Crowd Fraud Detection in Internet Advertising

Tian, T., Zhu, J., Xia, F., Zhuang, X., & Zhang, T. (2015) · Proceedings of the 24th International Conference on World Wide Web

Spam and Phishing DetectionMobile Crowdsensing and Crowdsourcing

Cited by 67

Calibrated Reliable Regression using Maximum Mean Discrepancy

Cui, P., Hu, W., & Zhu, J. (2020) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 27