Laiwan Chan
Affiliations: | The Chinese University of Hong Kong, Hong Kong, Hong Kong |
Area:
Computer Science, Bioinformatics BiologyGoogle:
"Laiwan Chan"
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Publications
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| Hu S, Cautis B, Chen Z, et al. (2019) Model-free inference of diffusion networks using RKHS embeddings Data Mining and Knowledge Discovery. 33: 499-525 |
| Liu F, Chan L. (2018) Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures. Neural Computation. 1-35 |
| Hu S, Chen Z, Chan L. (2018) A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference. Neural Computation. 1-32 |
| Liu F, Chan LW. (2017) Causal Inference on Multidimensional Data Using Free Probability Theory. Ieee Transactions On Neural Networks and Learning Systems |
| Liu F, Chan L. (2016) Causal Inference on Discrete Data via Estimating Distance Correlations. Neural Computation. 1-14 |
| Liu F, Chan L. (2015) Causal discovery on discrete data with extensions to mixture model Acm Transactions On Intelligent Systems and Technology. 7 |
| Chen Z, Chan L. (2013) Causality in linear nongaussian acyclic models in the presence of latent gaussian confounders. Neural Computation. 25: 1605-41 |
| Zhang K, Chan L. (2010) Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion Neurocomputing. 73: 2580-2588 |
| Teng L, Chan L. (2008) Discovering distinct patterns in gene expression profiles. Journal of Integrative Bioinformatics. 5 |
| Zhang K, Chan L. (2007) Separating Convolutive Mixtures By Pairwise Mutual Information Minimization Ieee Signal Processing Letters. 14: 992-995 |