Jun Zhu
About
Jun Zhu has authored 196 papers that have received a total of 7.5k indexed citations.
This includes 134 papers in Artificial Intelligence, 87 papers in Computer Vision and Pattern Recognition and 22 papers in Signal Processing. The topics of these papers are Domain Adaptation and Few-Shot Learning (34 papers), Adversarial Robustness in Machine Learning (27 papers) and Bayesian Methods and Mixture Models (25 papers). Jun Zhu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (34 papers), Adversarial Robustness in Machine Learning (27 papers) and Bayesian Methods and Mixture Models (25 papers) and collaborates with scholars based in China, United States and United Kingdom. Jun Zhu's co-authors include Eric P. Xing, Yinpeng Dong, Hang Su and Jianfei Chen and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing
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