| 2016 | CVPR | Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification. | Ha Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino |
| 2013 | AVSS | Semi-supervised multi-feature learning for person re-identification. | Dario Figueira, Loris Bazzani, Ha Quang Minh, Marco Cristani, Alexandre Bernardino, Vittorio Murino |
| 2013 | ICML | A unifying framework for vector-valued manifold regularization and multi-view learning. | Ha Quang Minh, Loris Bazzani, Vittorio Murino |
| 2013 | UAI | Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. | Vikas Sindhwani, Ha Quang Minh, Aurlie C. Lozano |
| 2012 | CVPR | A regularized spectral algorithm for Hidden Markov Models with applications in computer vision. | Ha Quang Minh, Marco Cristani, Alessandro Perina, Vittorio Murino |
| 2011 | ICCV | Slow feature analysis and decorrelation filtering for separating correlated sources. | Ha Quang Minh, Laurenz Wiskott |
| 2011 | ICML | Vector-valued Manifold Regularization. | Ha Quang Minh, Vikas Sindhwani |
| 2006 | COLT | Mercer's Theorem, Feature Maps, and Smoothing. | Ha Quang Minh, Partha Niyogi, Yuan Yao |
| 2004 | COLT | Learning Over Compact Metric Spaces. | Ha Quang Minh, Thomas Hofmann |