Publications

Weijia Zhang, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang (2022). Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization. (NeurIPS-2022) Advances in Neural Information Processing Systems 35, 34940-34953..

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Shujun Yang, Yu Zhang, Yuheng Jia, Weijia Zhang (2022). Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification. (JSTARS) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

DOI

Xuanhui Zhang, Weijia Zhang, Yuxiang (Chris) Zhao, Qinghua Zhu (2022). Imbalanced volunteer engagement in cultural heritage crowdsourcing: a task-related exploration based on causal inference. (IPM) Information Processing and Management, 59(5): 103027.

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Weijia Zhang (2021). Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder. (IJCAI-21) Proceedings of 30th International Joint Conference on Artificial Intelligence, 3373-3383.

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Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu (2021). A general framework for causal classification. International Journal of Data Science and Analytics. 11:127-139.

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Wejia Zhang, Lin Liu, Jiuyong Li (2020). Robust multi-instance learning with stable instances. (ECAI-2020) Proceedings of the Twenty-Fourth European Conference on Artificial Intelligence (Santiago de Compostela, Spain), 1682-1689.

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Peter Brown, Weijia Zhang (in The RELISH Consortium), Yaoqi Zhou (2019). Large expert-curated database for benchmarking document similarity detection in biomedical literature search. Database, 2019:baz085.

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Sarvenaz Choobdar, and Mehmet E. Ahsen, Jake Crawford, Mattia Tomasoni, Tao Fang, David Lamparter, Junyuan Lin, Benjamin Hescott, Xiaozhe Hu, Johnathan Mercer, Ted Natoli, Rajiv Narayan, Weijia Zhang (in The DREAM Module Identification Challenge Consortium), Aravind Subramanian, Jitao D. Zhang, Gustavo Stolovitzky, Zoltán Kutalik, Kasper Lage, Donna K. Slonim, Julio Saez-Rodriguez, Lenore J. Cowen, Sven Bergmann, Daniel Marbach (2019). Assessment of network module identification across complex diseases. Nature Methods, 16:843-852.

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Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le (2018). miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinformatics 19:516, Springer.

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Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li (2018). Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. BMC Bioinformatics, 19:518, Springer.

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Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li (2017). Mining heterogeneous causal effects for personalized cancer treatment. Bioinformatics, 33(15): 2372-2378.

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Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li (2016). Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles. PLOS ONE. 11(4): e0152860. Public Library of Science.

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Weijia Zhang, Zhi-Hua Zhou (2014). Multi-instance learning with distribution change. (AAAI-2014)Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI'14) (Québec, Canada.).

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