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1 |
Zhizhuo Zhang, Guoliang Li, Kim-Chuan Toh and Wing-Kin Sung |
Inference of Spatial Organizations of Chromosomes Using Semi-definite Embedding Approach and Hi-C Data |
Research in Computational Molecular Biology (RECOMB), Lecture Notes in Computer Science Volume 7821, 2013, pp 317-332 |
2 |
Guoliang Li, Tze-Yun Leong |
Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy |
PAKDD 2009, LNAI 5476, Springer-Verlag, 2009, pp. 290-301 |
3 |
Bin Han, Guoliang Li, Tze-Yun Leong, Yanchun Zhang, Lihua Li, Wei Liu, Lei Zhu, Weidong Xu |
Identifying Causal Effects from Data for the Clinical Ventilation Process Modeling |
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics. Sanya, Hainan, China, 517-521 |
4 |
Guoliang Li, Tze-Yun Leong |
Biomedical Knowledge Discovery with Topological Constraints Modeling in Bayesian Networks: A Preliminary Report |
in: World Congress on Health (Medical) Informatics (MedInfo) (IOS Press, Brisbane, Australia, 2007) 560-565 |
5 |
Guoliang Li, Jian Ma, Louxin Zhang |
Selecting Genomes for Reconstruction of Ancestral Genomes, in: Proceedings of the Fifth Annual RECOMB Satellite Workshop on Comparative Genomics (RECOMB-CG) |
LNBI 4751 (2007) 110-121 |
6 |
Qiongyu Chen, Guoliang Li, Tze-Yun Leong, Chew-Kiat Heng |
Predicting Coronary Artery Disease with Medical Profile and Gene Polymorphisms Data |
in: World Congress on Health (Medical) Informatics (MedInfo) (IOS Press, Brisbane, Australia, 2007) 1219-1224 |
7 |
Rohit Joshi, Guoliang Li, Tze-Yun Leong |
Context-aware Probabilistic Reasoning for Proactive Healthcare |
IJCAI workshop of Artificial Intelligence Techniques for Ambient Intelligence, 2007 |
8 |
Guoliang Li and Tze-Yun Leong |
A framework to learn Bayesian Networks from changing, multiple-source biomedical data |
in Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. Stanford University, CA, USA, 66-72 |
9 |
Guoliang Li, Tze-Yun Leong, Louxin Zhang |
Translation Initiation Sites Prediction with Mixture Gaussian Models |
the Proceedings of the 4th Workshop on Algorithms in Bioinformatics (WABI 2004), LNBI 3240, Bergen, Norway, 2004, pp. 338-349 |
10 |
Bin Han, Tze-Yun Leong, Guoliang Li |
Learning the Dynamic Bayesian Networks Structure of Ventilation Process in a Linear System Identification Perspective |
in: IEEE Workshop on Life Science Data Mining (LSDM) (Brighton, UK, 2004) |