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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
62*2022
Can LLM-Generated Misinformation Be Detected?
C Chen, K Shu
ICLR 2024, 🏆 Didactic Paper Award in workshop ICBINB@NeurIPS 2023, 2023
442023
Combating Misinformation in the Age of LLMs: Opportunities and Challenges
C Chen, K Shu
AI Magazine 2024, 2023
322023
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 (*equal contributions), 2022
182022
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
142023
Artificial intelligence algorithms for treatment of diabetes
MM Rashid, MR Askari, C Chen, Y Liang, K Shu, A Cinar
Algorithms 15 (9), 299, 2022
122022
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
C Chen, Y Liang, X Xu, S Xie, Y Hong, K Shu
arXiv preprint arXiv:2207.08336, 2022
9*2022
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
5*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
32022
Can Large Language Model Agents Simulate Human Trust Behaviors?
C Xie*, C Chen*, F Jia, Z Ye, K Shu, A Bibi, Z Hu, P Torr, B Ghanem, G Li
arXiv:2402.04559 (*equal contributions), workshop AGI@ICLR 2024, MSLD 2024 …, 2024
22024
Introducing v0. 5 of the AI Safety Benchmark from MLCommons
B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ...
arXiv preprint arXiv:2404.12241, 2024
2024
Can Large Language Models Identify Authorship?
B Huang, C Chen, K Shu
arXiv preprint arXiv:2403.08213, 2024
2024
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
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