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Zhi-Hua Zhou
Researcher at Nanjing University
Publications - 633
Citations - 64307
Zhi-Hua Zhou is an academic researcher from Nanjing University. The author has contributed to research in topics: Semi-supervised learning & Artificial neural network. The author has an hindex of 102, co-authored 626 publications receiving 52850 citations. Previous affiliations of Zhi-Hua Zhou include Michigan State University & Tokyo Institute of Technology.
Papers
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Proceedings ArticleDOI
Learning from facial aging patterns for automatic age estimation
TL;DR: The AGES (AGing pattErn Subspace) method for automatic age estimation is proposed, which aims to model the aging pattern, which is defined as a sequence of personal aging face images, by learning a representative subspace.
Proceedings ArticleDOI
Multi-instance learning by treating instances as non-I.I.D. samples
TL;DR: In this article, the instances in a bag are rarely independent in real tasks, and a better performance can be expected if the instances are treated in an non-i.i.d. way that exploits relations among instances.
Proceedings Article
Partial multi-view clustering
TL;DR: This paper presents possibly the first study on partial multiview clustering, which works by establishing a latent subspace where the instances corresponding to the same example in different views are close to each other, and similar instances in the same view should be well grouped.
Proceedings ArticleDOI
iBAT: detecting anomalous taxi trajectories from GPS traces
TL;DR: An Isolation-Based Anomalous Trajectory (iBAT) detection method is proposed and the potential of iBAT in enabling innovative applications is demonstrated by using it for taxi driving fraud detection and road network change detection.
Proceedings Article
Towards Making Unlabeled Data Never Hurt
Yu-Feng Li,Zhi-Hua Zhou +1 more
TL;DR: It is here shown that S4VMs are provably safe and that the performance improvement using unlabeled data can be maximized, whereas in contrast to S3VMs which hurt performance significantly in many cases, S 4VMs rarely perform worse than inductive SVMs.