Weijia Zhang
Weijia Zhang
Other names张 伟嘉, Wei-Jia Zhang
Verified email at - Homepage
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
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
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
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
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
Open community challenge reveals molecular network modules with key roles in diseases
S Choobdar, M Ahsen, J Crawford, M Tomasoni, D Lamparter, J Lin, ...
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
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
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
Multi-instance learning with distribution change.
W Zhang, ZH Zhou
AAAI 2014 - The 28th AAAI Conference on Artificial Intelligence, 2184-2190, 2014
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
W Zhang, X Zhang, HW Deng, ML Zhang
NeurIPS 2022 - Advances in Neural Information Processing Systems 35, 34940 …, 2022
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
Imbalanced volunteer engagement in cultural heritage crowdsourcing: A task-related exploration based on causal inference
X Zhang, W Zhang, YC Zhao, Q Zhu
Information Processing & Management 59 (5), 103027, 2022
Multi-instance partial-label learning: Towards exploiting dual inexact supervision
W Tang, W Zhang, ML Zhang
Science China Information Sciences 67, 132103, 2024
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, 127-139, 2021
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness
W Zhang, TD Le, L Liu, J Li
BMC Bioinformatics 19 (19), 518, 2018
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
W Tang, W Zhang, ML Zhang
NeurIPS 2023 - Advances in Neural Information Processing Systems 36, 56756-56771, 2023
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification
S Yang, Y Zhang, Y Jia, W Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection
Z Wang, W Zhang, ML Zhang
arXiv preprint arXiv:2303.14999, 2023
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