Parameter-Free Spectral Kernel Learning. - Qi Mao 001; Ivor W. Tsang (UAI, 2010)

Optimizing Performance Measures for Feature Selection. - Qi Mao 001; Ivor Wai-Hung Tsang (ICDM, 2011)

Multiple Template Learning for Structured Prediction - Qi Mao 001; Ivor W. Tsang (CoRR, 2011)

Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach. - Jian-Bo Yang; Qi Mao 001; Qiaoliang Xiang; Ivor Wai-Hung Tsang; Kian Ming Adam Chai; Hai Leong Chieu (EMNLP-CoNLL, 2012)

Learning Target Predictive Function without Target Labels. - Chun-Wei Seah; Ivor Wai-Hung Tsang; Yew-Soon Ong; Qi Mao 001 (ICDM, 2012)

A Split-Merge Framework for Comparing Clusterings. - Qiaoliang Xiang; Qi Mao 001; Kian Ming Adam Chai; Hai Leong Chieu; Ivor W. Tsang; Zhendong Zhao (ICML, 2012)

Multi-view Positive and Unlabeled Learning. - Joey Tianyi Zhou; Sinno Jialin Pan; Qi Mao 001; Ivor W. Tsang (ACML, 2012)

A Feature Selection Method for Multivariate Performance Measures. - Qi Mao 001; Ivor Wai-Hung Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Objective-Guided Image Annotation. - Qi Mao 001; Ivor Wai-Hung Tsang; Shenghua Gao (IEEE Trans. Image Process., 2013)

Efficient Multitemplate Learning for Structured Prediction. - Qi Mao 001; Ivor Wai-Hung Tsang (IEEE Trans. Neural Networks Learn. Syst., 2013)

Structured prediction for feature selection and performance evaluation - Qi Mao 001 (2013)

Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis. - Qi Mao 001; Wei Zheng 010; Li Wang 033; Yunpeng Cai; Volker Mai; Yijun Sun (ICDM, 2015)

Dimensionality Reduction Via Graph Structure Learning. - Qi Mao 001; Li Wang 033; Steve Goodison; Yijun Sun (KDD, 2015)

SimplePPT: A Simple Principal Tree Algorithm. - Qi Mao 001; Le Yang; Li Wang 033; Steve Goodison; Yijun Sun (SDM, 2015)

A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation. - Qi Mao 001; Li Wang 033; Ivor W. Tsang; Yijun Sun (CoRR, 2015)

Feature selection for unsupervised learning through local learning. - Jin Yao; Qi Mao 001; Steve Goodison; Volker Mai; Yijun Sun (Pattern Recognit. Lett., 2015)

Generalized Multiple Kernel Learning With Data-Dependent Priors. - Qi Mao 001; Ivor W. Tsang; Shenghua Gao; Li Wang 033 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Latent Smooth Skeleton Embedding. - Li Wang 033; Qi Mao 001; Ivor W. Tsang (AAAI, 2017)

A unified probabilistic framework for robust manifold learning and embedding. - Qi Mao 001; Li Wang 033; Ivor W. Tsang (Mach. Learn., 2017)

Principal Graph and Structure Learning Based on Reversed Graph Embedding. - Qi Mao 001; Li Wang 033; Ivor W. Tsang; Yijun Sun (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time. - Yunpeng Cai; Wei Zheng 010; Jin Yao; Yujie Yang; Volker Mai; Qi Mao 001; Yijun Sun (PLoS Comput. Biol., 2017)

A parallel computational framework for ultra-large-scale sequence clustering analysis. - Wei Zheng 010; Qi Mao 001; Robert J. Genco; Jean Wactawski-Wende; Michael Buck; Yunpeng Cai; Yijun Sun (Bioinform., 2019)

Probabilistic Dimensionality Reduction via Structure Learning. - Li Wang 033; Qi Mao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)