Qi Mao

According to our database1, Qi Mao authored at least 25 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Probabilistic Dimensionality Reduction via Structure Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

A parallel computational framework for ultra-large-scale sequence clustering analysis.
Bioinformatics, 2019

Integrating Spatial Continuous Wavelet Transform and Normalized Difference Vegetation Index to Map the Agro-Pastoral Transitional Zone in Northern China.
Remote Sensing, 2018

Enhanced Image Decoding via Edge-Preserving Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time.
PLoS Computational Biology, 2017

Principal Graph and Structure Learning Based on Reversed Graph Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A unified probabilistic framework for robust manifold learning and embedding.
Machine Learning, 2017

Local Disparity Vector Derivation Scheme in 3D-AVS2.
Proceedings of the Image and Graphics - 9th International Conference, 2017

Latent Smooth Skeleton Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A local-adapted disparity vector derivation scheme for 3D-AVS.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Generalized Multiple Kernel Learning With Data-Dependent Priors.
IEEE Trans. Neural Netw. Learning Syst., 2015

Feature selection for unsupervised learning through local learning.
Pattern Recognition Letters, 2015

SimplePPT: A Simple Principal Tree Algorithm.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Dimensionality Reduction Via Graph Structure Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Efficient Multitemplate Learning for Structured Prediction.
IEEE Trans. Neural Netw. Learning Syst., 2013

Objective-Guided Image Annotation.
IEEE Trans. Image Processing, 2013

A Feature Selection Method for Multivariate Performance Measures.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Multi-view Positive and Unlabeled Learning.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

A Split-Merge Framework for Comparing Clusterings.
Proceedings of the 29th International Conference on Machine Learning, 2012

Learning Target Predictive Function without Target Labels.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Optimizing Performance Measures for Feature Selection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Parameter-Free Spectral Kernel Learning.
Proceedings of the UAI 2010, 2010

KLATTSTAT: knowledge-based parametric speech synthesis.
Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010