Canyu Chen

According to our database, Canyu Chen authored at least 15 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Can Large Language Models Identify Authorship?

Baixiang Huang, Canyu Chen, Kai Shu

CoRR, 2024

Can Large Language Model Agents Simulate Human Trust Behaviors?

Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip H. S. Torr, Bernard Ghanem, Guohao Li

CoRR, 2024

2023

Combating Misinformation in the Age of LLMs: Opportunities and Challenges.

Canyu Chen, Kai Shu

CoRR, 2023

Can LLM-Generated Misinformation Be Detected?

Canyu Chen, Kai Shu

CoRR, 2023

MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection.

Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu

CoRR, 2023

Attacking Fake News Detectors via Manipulating News Social Engagement.

Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu

Proceedings of the ACM Web Conference 2023, 2023

PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners.

Canyu Chen, Kai Shu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Fair classification via domain adaptation: A dual adversarial learning approach.

Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu

Frontiers Big Data, 2022

Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues.

Canyu Chen, Haoran Wang, Matthew Shapiro, Yunyu Xiao, Fei Wang, Kai Shu

CoRR, 2022

On Fair Classification with Mostly Private Sensitive Attributes.

Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu

CoRR, 2022

Benchmarking Node Outlier Detection on Graphs.

Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu

CoRR, 2022

Joint Adversarial Learning for Cross-domain Fair Classification.

Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu

CoRR, 2022

PyGOD: A Python Library for Graph Outlier Detection.

Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu

CoRR, 2022

Artificial Intelligence Algorithms for Treatment of Diabetes.

Mudassir M. Rashid, Mohammad-Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu, Ali Cinar

Algorithms, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.

Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022