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Canyu Chen
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BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ...
NeurIPS 2022 Datasets and Benchmarks Track, 2022
37*2022
Pygod: A python library for graph outlier detection
K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ...
arXiv preprint arXiv:2204.12095, 2022
172022
Artificial intelligence algorithms for treatment of diabetes
MM Rashid, MR Askari, C Chen, Y Liang, K Shu, A Cinar
Algorithms 15 (9), 299, 2022
62022
On Fair Classification with Mostly Private Sensitive Attributes
C Chen, Y Liang, X Xu, S Xie, Y Hong, K Shu
arXiv preprint arXiv:2207.08336, 2022
62022
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues
C Chen, H Wang, M Shapiro, Y Xiao, F Wang, K Shu
arXiv preprint arXiv:2211.05289, 2022
42022
Attacking Fake News Detectors via Manipulating News Social Engagement
H Wang, Y Dou, C Chen, L Sun, PS Yu, K Shu
The Web Conference 2023 (WWW'23), 2023
22023
Fair classification via domain adaptation: A dual adversarial learning approach
Y Liang, C Chen, T Tian, K Shu
Frontiers in Big Data 5, 129, 2023
2*2023
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners
C Chen, K Shu
EACL 2023 (Main Conference, Long Paper), workshop ENLSP@NeurIPS 2022, Oral …, 2022
12022
Can LLM-Generated Misinformation Be Detected?
C Chen, K Shu
arXiv preprint arXiv:2309.13788, 2023
2023
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection
X Xu, K Ding, C Chen, K Shu
arXiv preprint arXiv:2305.10668, 2023
2023
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
C Chen, Y Liang, X Xu, S Xie, Y Hong, K Shu
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 0
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