• Publications
  • Influence
Enhancing Supervised Learning with Unlabeled Data
TLDR
In a wide variety of supervised learning scenarios, there is a small set of labeled data, along with a large pool of unlabeled data. Expand
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Democratic co-learning
  • Y. Zhou, S. A. Goldman
  • Computer Science
  • 16th IEEE International Conference on Tools with…
  • 15 November 2004
TLDR
We present democratic colearning in which multiple algorithms instead of multiple views enable learners to label data for each other. Expand
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An empirical assessment of long-branch attraction artefacts in deep eukaryotic phylogenomics.
In the context of exponential growing molecular databases, it becomes increasingly easy to assemble large multigene data sets for phylogenomic studies. The expected increase of resolution due to theExpand
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Heterotachy and long-branch attraction in phylogenetics
BackgroundProbabilistic methods have progressively supplanted the Maximum Parsimony (MP) method for inferring phylogenetic trees. One of the major reasons for this shift was that MP is much moreExpand
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A High-Performance Photovoltaic Module-Integrated Converter (MIC) Based on Cascaded Quasi-Z-Source Inverters (qZSI) Using eGaN FETs
  • Y. Zhou, Liming Liu, Hui Li
  • Engineering
  • IEEE Transactions on Power Electronics
  • 1 June 2013
This paper presents a single-phase grid-connected photovoltaic (PV) module-integrated converter (MIC) based on cascaded quasi-Z-source inverters (qZSI). In this system, each qZSI module serves as anExpand
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Investigation of a coupling model of coordination between urbanization and the environment.
China's coastal cities are experiencing rapid urbanization, which has resulted in many challenges. This paper presents a comprehensive index system for assessment of the level of urbanization basedExpand
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Minimum Spanning Tree Based Clustering Algorithms
The minimum spanning tree clustering algorithm is known to be capable of detecting clusters with irregular boundaries. In this paper, we propose two minimum spanning tree based clustering algorithms.Expand
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Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
TLDR
We evaluated five functional similarity methods using both protein-protein interaction (PPI) and expression data of S. cerevisiae to evaluate five popular functional similarity algorithms. Expand
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Toward Automatic Model Comparison: An Adaptive Sequential Monte Carlo Approach
TLDR
A novel approach to the automatic specification of distributions within SMC algorithms is presented and shown to outperform the state of the art in this area. Expand
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Adversarial support vector machine learning
TLDR
We investigate how different attack models in a general convex optimization problem can be used to model the adversary's attack strategy and develop robust learning models to mitigate the attack. Expand
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