Biwei Huang
TitleCited byYear
Causal discovery from nonstationary/heterogeneous data: Skeleton estimation and orientation determination
K Zhang, B Huang, J Zhang, C Glymour, B Schölkopf
IJCAI: Proceedings of the Conference 2017, 1347, 2017
282017
Identification of time-dependent causal model: A gaussian process treatment
B Huang, K Zhang, B Schölkopf
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
192015
Behind distribution shift: Mining driving forces of changes and causal arrows
B Huang, K Zhang, J Zhang, R Sanchez-Romero, C Glymour, B Schölkopf
2017 IEEE International Conference on Data Mining (ICDM), 913-918, 2017
112017
On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection.
K Zhang, J Zhang, B Huang, B Schölkopf, C Glymour
UAI, 2016
112016
Generalized Score Functions for Causal Discovery
B Huang, K Zhang, Y Lin, B Schölkopf, C Glymour
KDD'18, 2018
82018
Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods
R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ...
Network Neuroscience 3 (2), 274-306, 2019
62019
Causal generative domain adaptation networks
M Gong, K Zhang, B Huang, C Glymour, D Tao, K Batmanghelich
arXiv preprint arXiv:1804.04333, 2018
62018
Causal discovery of feedback networks with functional magnetic resonance imaging
R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ...
bioRxiv, 245936, 2018
52018
Multi-domain causal structure learning in linear systems
AE Ghassami, N Kiyavash, B Huang, K Zhang
Advances in neural information processing systems, 6266-6276, 2018
42018
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
B Huang, K Zhang, M Gong, C Glymour
International Conference of Machine Learning, 2019, 2019
32019
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data
B Huang, K Zhang, R Sanchez-Romero, J Ramsey, M Glymour, ...
arXiv preprint, arXiv:1902.10073, 2019
32019
Discovery and visualization of nonstationary causal models
K Zhang, B Huang, J Zhang, B Schölkopf, C Glymour
arXiv preprint arXiv:1509.08056, 2015
32015
Towards Robust and Specific Causal Discovery from fMRI
K Zhang, B Huang, B Schölkopf, M Besserve, M Watanabe, D Zhu
Preprint at http://arxiv. org/abs/1509.08056, 2015
22015
Causal discovery and hidden driving force estimation from nonstationary/heterogeneous data
B Huang, K Zhang, J Zhang, J Ramsey, B Schölkopf, C Glymour
arXiv preprint arXiv:1903.01672, 2019
12019
Domain Adaptation As a Problem of Inference on Graphical Models
K Zhang, M Gong, P Stojanov, B Huang, C Glymour
arXiv preprint arXiv:2002.03278, 2020
2020
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering
B Huang, K Zhang, P Xie, M Gong, EP Xing, C Glymour
Advances in Neural Information Processing Systems, 13510-13521, 2019
2019
On Causal Discovery in the Presence of Changing Causal Models
K Zhang, B Huang, J Zhang, B Schölkopf, C Glymour
arXiv preprint arXiv:1509.08056, 2015
2015
Supplementary Material A The FASK Algorithm
R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ...
Supplementary Material for “Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering”
B Huang, K Zhang, P Xie, M Gong, E Xing, C Glymour
Supplementary Material for “Causal Discovery and Forecasts in Nonstationary Environments with State-Space Models”
B Huang, K Zhang, M Gong, C Glymour
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