Qi Mao - RankMe

25 papers A* 6A 2C 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	A parallel computational framework for ultra-large-scale sequence clustering analysis. Bioinform. Wei Zheng, Qi Mao, Robert J. Genco, Jean Wactawski-Wende, Michael J. Buck, Yunpeng Cai, Yijun Sun
2019	J	`jnl`	Probabilistic Dimensionality Reduction via Structure Learning. IEEE Trans. Pattern Anal. Mach. Intell. Li Wang, Qi Mao
2017	J	`jnl`	A unified probabilistic framework for robust manifold learning and embedding. Mach. Learn. Qi Mao, Li Wang, Ivor W. Tsang
2017	J	`jnl`	ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time. PLoS Comput. Biol. Yunpeng Cai, Wei Zheng, Jin Yao, Yujie Yang, Volker Mai, Qi Mao, Yijun Sun
2017	A*	`conf`	Latent Smooth Skeleton Embedding. AAAI Li Wang, Qi Mao, Ivor W. Tsang
2017	J	`jnl`	Principal Graph and Structure Learning Based on Reversed Graph Embedding. IEEE Trans. Pattern Anal. Mach. Intell. Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
2015	J	`jnl`	A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation. CoRR Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
2015	A*	`conf`	Dimensionality Reduction Via Graph Structure Learning. KDD Qi Mao, Li Wang, Steve Goodison, Yijun Sun
2015	J	`jnl`	Feature selection for unsupervised learning through local learning. Pattern Recognit. Lett. Jin Yao, Qi Mao, Steve Goodison, Volker Mai, Yijun Sun
2015	J	`jnl`	Generalized Multiple Kernel Learning With Data-Dependent Priors. IEEE Trans. Neural Networks Learn. Syst. Qi Mao, Ivor W. Tsang, Shenghua Gao, Li Wang
2015	A*	`conf`	Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis. ICDM Qi Mao, Wei Zheng, Li Wang, Yunpeng Cai, Volker Mai, Yijun Sun
2015	A	`conf`	SimplePPT: A Simple Principal Tree Algorithm. SDM Qi Mao, Le Yang, Li Wang, Steve Goodison, Yijun Sun
2013	J	`jnl`	A Feature Selection Method for Multivariate Performance Measures. IEEE Trans. Pattern Anal. Mach. Intell. Qi Mao, Ivor Wai-Hung Tsang
2013	J	`jnl`	Efficient Multitemplate Learning for Structured Prediction. IEEE Trans. Neural Networks Learn. Syst. Qi Mao, Ivor Wai-Hung Tsang
2013	J	`jnl`	Objective-Guided Image Annotation. IEEE Trans. Image Process. Qi Mao, Ivor Wai-Hung Tsang, Shenghua Gao
2013	—	`—`	Structured prediction for feature selection and performance evaluation Qi Mao
2012	A*	`conf`	A Split-Merge Framework for Comparing Clusterings. ICML Qiaoliang Xiang, Qi Mao, Kian Ming Adam Chai, Hai Leong Chieu, Ivor W. Tsang, Zhendong Zhao
2012	—	`conf`	Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach. EMNLP-CoNLL Jian-Bo Yang, Qi Mao, Qiaoliang Xiang, Ivor Wai-Hung Tsang, Kian Ming Adam Chai, Hai Leong Chieu
2012	A*	`conf`	Learning Target Predictive Function without Target Labels. ICDM Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao
2012	C	`conf`	Multi-view Positive and Unlabeled Learning. ACML Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang
2012	J	`jnl`	Parameter-Free Spectral Kernel Learning CoRR Qi Mao, Ivor W. Tsang
2011	J	`jnl`	A Feature Selection Method for Multivariate Performance Measures CoRR Qi Mao, Ivor W. Tsang
2011	J	`jnl`	Multiple Template Learning for Structured Prediction CoRR Qi Mao, Ivor W. Tsang
2011	A*	`conf`	Optimizing Performance Measures for Feature Selection. ICDM Qi Mao, Ivor Wai-Hung Tsang
2010	A	`conf`	Parameter-Free Spectral Kernel Learning. UAI Qi Mao, Ivor W. Tsang