| 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 | 229 | 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 | 58 | 2018 |
| 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 | 55 | 2021 |
| Mining heterogeneous causal effects for personalized cancer treatment W Zhang, TD Le, L Liu, ZH Zhou, J Li Bioinformatics 33 (15), 2372-2378, 2017 | 52 | 2017 |
| 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 | 51 | 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 | 26 | 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, ... | 26 | 2018 |
| 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 | 19 | 2016 |
| Multi-instance learning with distribution change. W Zhang, ZH Zhou AAAI 2014 - The 28th AAAI Conference on Artificial Intelligence, 2184-2190, 2014 | 18 | 2014 |
| 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 | 16 | 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 | 15* | 2020 |
| 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 | 10 | 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 | 7 | 2022 |
| 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 | 6 | 2021 |
| Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization W Zhang, X Zhang, HW Deng, ML Zhang Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 34940 …, 2022 | 5 | 2022 |
| Estimating heterogeneous treatment effect by balancing heterogeneity and fitness W Zhang, TD Le, L Liu, J Li BMC Bioinformatics 19 (19), 518, 2018 | 5 | 2018 |
| Multi-instance partial-label learning: Towards exploiting dual inexact supervision W Tang, W Zhang, ML Zhang Science China Information Sciences, 2023 | 2 | 2023 |
| Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection Z Wang, W Zhang, ML Zhang arXiv preprint arXiv:2303.14999, 2023 | 1 | 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 | 1 | 2022 |
| Instance-Dependent Partial Label Learning with Identifiable Causal Representations Y Wang, W Zhang, ML Zhang NeurIPS 2023 Workshop on Causal Representation Learning, 2023 | | 2023 |
Lin LiuProfessor, University of South AustraliaVerified email at unisa.edu.au
