Weijia Zhang
Weijia Zhang
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Cited by
Cited by
Assessment of network module identification across complex diseases
S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ...
Nature Methods 16 (9), 843-852, 2019
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase
T Xu, N Su, L Liu, J Zhang, H Wang, W Zhang, J Gui, K Yu, J Li, TD Le
BMC Bioinformatics 19 (19), 179-188, 2018
Mining heterogeneous causal effects for personalized cancer treatment
W Zhang, TD Le, L Liu, ZH Zhou, J Li
Bioinformatics 33 (15), 2372-2378, 2017
A unified survey of treatment effect heterogeneity modeling and uplift modeling
W Zhang, J Li, L Liu
ACM Computing Surveys (CSUR) 54 (8), Article 162, 2021
Open community challenge reveals molecular network modules with key roles in diseases
S Choobdar, M Ahsen, J Crawford, M Tomasoni, D Lamparter, J Lin, ...
Predicting miRNA targets by integrating gene regulatory knowledge with expression profiles
W Zhang, TD Le, L Liu, ZH Zhou, J Li
PloS One 11 (4), e0152860, 2016
Multi-Instance Learning with Distribution Change.
W Zhang, ZH Zhou
AAAI 2014 - The 28th AAAI Conference on Artificial Intelligence, 2184-2190, 2014
Treatment effect estimation with disentangled latent factors
W Zhang, L Liu, J Li
AAAI 2021 - The 35th AAAI Conference on Artificial Intelligence, 10923-10930, 2021
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
P Brown, AC Tan, MA El-Esawi, T Liehr, O Blanck, DP Gladue, ...
Database 2019, baz085, 2019
MONET: a toolbox integrating top-performing methods for network modularization
M Tomasoni, S Gómez, J Crawford, W Zhang, S Choobdar, D Marbach, ...
Bioinformatics 36 (12), 3920-3921, 2020
Robust Multi-Instance Learning with Stable Instances
W Zhang, L Liu, J Li
ECAI 2020 - the 24th European Conference on Artificial Intelligence, 1682-1689, 2020
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness
W Zhang, TD Le, L Liu, J Li
BMC Bioinformatics 19 (19), 518, 2018
Non-i.i.d. multi-instance learning for predicting instance and bag labels using variational autoencoder
W Zhang
IJCAI 2021 - The 30th International Joint Conference on Artificial …, 2021
A general framework for causal classification
J Li, W Zhang, L Liu, K Yu, TD Le, J Liu
International Journal of Data Science and Analytics 11 (2), 127-139, 2021
Towards Learning Causal Representations from Multi-Instance Bags
W Zhang, X Zhang, H Deng, ML Zhang
arXiv preprint arXiv:2202.12570, 2022
Supplementary Information-MONET
M Tomasoni, S Gómez, J Crawford, W Zhang
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