| Sparse Canonical Correlation Analysis: New Formulation and Algorithm D Chu, LZ Liao, MK Ng, X Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (12), 3050 …, 2013 | 119 | 2013 |
| A Graph-Theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images J De, L Cheng, X Zhang, F Lin, H Li, K Ong, W Yu, Y Yu, S Ahmed IEEE Transactions on Medical Imaging 35 (1), 257-272, 2015 | 96 | 2015 |
| Sparse uncorrelated linear discriminant analysis for undersampled problems X Zhang, D Chu, RCE Tan IEEE Transactions on Neural Networks and Learning Systems 27 (7), 1469-1485, 2015 | 47 | 2015 |
| Segment 2D and 3D Filaments by Learning Structured and Contextual Features L Gu, X Zhang, H Zhao, H Li, L Cheng IEEE Transactions on Medical Imaging, 2016 | 43 | 2016 |
| Transduction on Directed Graphs via Absorbing Random Walks J De, X Zhang, F Lin, L Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 2017 | 40 | 2017 |
| Estimate Hand Poses Efficiently from Single Depth Images C Xu, A Nanjappa, X Zhang, L Cheng International Journal of Computer Vision, 2015 | 40 | 2015 |
| Nonconvex and Nonsmooth Optimization with Generalized Orthogonality Constraints: An Approximate Augmented Lagrangian Method H Zhu, X Zhang, D Chu, LZ Liao Journal of Scientific Computing, 2017 | 30 | 2017 |
| Sparse Kernel Canonical Correlation Analysis D Chu, LZ Liao, MK Ng, X Zhang Proceedings of the International MultiConference of Engineers and Computer …, 2013 | 28 | 2013 |
| Sparse Uncorrelated Linear Discriminant Analysis X Zhang, D Chu Proceedings of the 30th International Conference on Machine Learning, 45-52, 2013 | 22 | 2013 |
| Semi-supervised learning in medical images through graph-embedded random forest L Gu, X Zhang, S You, S Zhao, Z Liu, T Harada Frontiers in Neuroinformatics 14, 601829, 2020 | 21 | 2020 |
| Tracing retinal blood vessels by matrix-forest theorem of directed graphs L Cheng, J De, X Zhang, F Lin, H Li Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 …, 2014 | 20 | 2014 |
| ℓ0-based sparse canonical correlation analysis with application to cross-language document retrieval J Cai, W Dan, X Zhang Neurocomputing, 2018 | 15 | 2018 |
| Multivariate Regression with Gross Errors on Manifold-valued Data X Zhang, X Shi, Y Sun, L Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 2018 | 12 | 2018 |
| Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data X Zhang, L Cheng, D Chu, LZ Liao, MK Ng, RCE Tan SIAM Journal on Scientific Computing 38 (3), B414-B439, 2016 | 11 | 2016 |
| Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications X Zhang, C Xu, Y Zhang, T Zhu, L Cheng arXiv, 2017 | 8 | 2017 |
| Least Squares Approximation via Sparse Subsampled Randomized Hadamard Transform D Teng, X Zhang, L Cheng, D Chu IEEE Transactions on Big Data, 2020 | 5 | 2020 |
| Sparse Dimensionality Reduction Methods: Algorithms and Applications X Zhang National University of Singapore, 2013 | 3 | 2013 |
| Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction X Zhang, L Cheng, T Zhu Asian Conference on Machine Learning 45, 112-126, 2015 | 2 | 2015 |
| Sparse Kernel Canonical Correlation Analysis via -regularization X Zhang, D Chu, LZ Liao, MK Ng arXiv, 2017 | 1 | 2017 |
| Persona: Real-Time Neural 3D Face Reconstruction for Visual Effects on Mobile Devices G Liu, X Zhang, F Zhang, Y Wei ACM SIGGRAPH 2021 Talks, 1-2, 2021 | | 2021 |
Li ChengProfessor, Department of ECE, University of Alberta, CanadaVerified email at ualberta.ca
