Weijia Zhang
University of South Australia
H-index: 11
Oceania-Australia
Top articles of Weijia Zhang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Special Issue Editorial on “The Innovative Use of Data Science to Transform How We Work and Live” | Data Science and Engineering | Yee Ling Boo Manik Gupta Weijia Zhang Philippe Fournier-Viger | 2024/3/4 |
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees | AAAI 2024 - The 38th AAAI Conference on Artificial Intelligence | Weijia Zhang Chun Kai Ling Xuanhui Zhang | 2024/2/20 |
Multi-instance partial-label learning: Towards exploiting dual inexact supervision | Science China Information Sciences | Wei Tang Weijia Zhang Min-Ling Zhang | 2024 |
Instance-Dependent Partial Label Learning with Identifiable Causal Representations | Yizhi Wang Weijia Zhang Min-Ling Zhang | 2023/10/27 | |
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning | NeurIPS 2023 - Advances in Neural Information Processing Systems 36 | Wei Tang Weijia Zhang Min-Ling Zhang | 2023/5/26 |
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning | arXiv preprint arXiv:2305.06247 | Hanwen Deng Weijia Zhang Min-Ling Zhang | 2023/5/10 |
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection | arXiv preprint arXiv:2303.14999 | Zhaofei Wang Weijia Zhang Min-Ling Zhang | 2023/3/27 |
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Shujun Yang Yu Zhang Yuheng Jia Weijia Zhang | 2022/8/18 |
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization | Weijia Zhang Xuanhui Zhang Han-Wen Deng Min-Ling Zhang | 2022/2/25 | |
Imbalanced volunteer engagement in cultural heritage crowdsourcing: A task-related exploration based on causal inference | Information Processing & Management | Xuanhui Zhang Weijia Zhang Yuxiang Chris Zhao Qinghua Zhu | 2022/9/1 |
A unified survey of treatment effect heterogeneity modeling and uplift modeling | ACM Computing Surveys (CSUR) | Weijia Zhang Jiuyong Li Lin Liu | 2021/10/4 |
Non-i.i.d. multi-instance learning for predicting instance and bag labels using variational autoencoder | Weijia Zhang | 2021/5 | |
A general framework for causal classification | International Journal of Data Science and Analytics | Jiuyong Li Weijia Zhang Lin Liu Kui Yu Thuc Duy Le | 2021/3/19 |
Treatment effect estimation with disentangled latent factors | Weijia Zhang Lin Liu Jiuyong Li | 2021/5 | |
MONET: a toolbox integrating top-performing methods for network modularization | Bioinformatics | Mattia Tomasoni Sergio Gómez Jake Crawford Weijia Zhang Sarvenaz Choobdar | 2020/6/1 |
Robust multi-instance learning with stable instances | Weijia Zhang Lin Liu Jiuyong Li | 2020 |
Co-Authors
