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Kai Shu

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Canyu Chen

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Publications

2024
[i62]
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  - journals/corr/abs-2402-04559
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  - https://dblp.org/rec/journals/corr/abs-2402-04559
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip H. S. Torr, Bernard Ghanem, Guohao Li:
Can Large Language Model Agents Simulate Human Trust Behaviors? CoRR abs/2402.04559 (2024)
[i61]
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  - journals/corr/abs-2403-08213
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Baixiang Huang, Canyu Chen, Kai Shu:
Can Large Language Models Identify Authorship? CoRR abs/2403.08213 (2024)
2023
[c61]
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  - conf/eacl/ChenS23
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Canyu Chen, Kai Shu:
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners. EACL 2023: 562-574
[c55]
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  - conf/www/WangDC0YS23
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Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. WWW 2023: 3978-3986
[i59]
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  - journals/corr/abs-2302-07363
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Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR abs/2302.07363 (2023)
[i57]
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  - journals/corr/abs-2305-10668
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Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu:
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection. CoRR abs/2305.10668 (2023)
[i50]
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  - journals/corr/abs-2309-13788
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Canyu Chen, Kai Shu:
Can LLM-Generated Misinformation Be Detected? CoRR abs/2309.13788 (2023)
[i47]
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  - journals/corr/abs-2311-05656
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Canyu Chen, Kai Shu:
Combating Misinformation in the Age of LLMs: Opportunities and Challenges. CoRR abs/2311.05656 (2023)
2022
[j19]
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  - journals/algorithms/RashidACLSC22
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Mudassir M. Rashid, Mohammad-Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu, Ali Cinar:
Artificial Intelligence Algorithms for Treatment of Diabetes. Algorithms 15(9): 299 (2022)
[j18]
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  - journals/fdata/LiangCTS22
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Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu:
Fair classification via domain adaptation: A dual adversarial learning approach. Frontiers Big Data 5 (2022)
[c49]
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  - conf/nips/LiuDZDHZDCPSSLC22
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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:
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS 2022
[i42]
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  - journals/corr/abs-2204-12095
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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:
PyGOD: A Python Library for Graph Outlier Detection. CoRR abs/2204.12095 (2022)
[i40]
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  - journals/corr/abs-2205-09229
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Canyu Chen, Kai Shu:
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners. CoRR abs/2205.09229 (2022)
[i39]
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  - journals/corr/abs-2206-03656
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Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu:
Joint Adversarial Learning for Cross-domain Fair Classification. CoRR abs/2206.03656 (2022)
[i38]
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  - journals/corr/abs-2206-10071
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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:
Benchmarking Node Outlier Detection on Graphs. CoRR abs/2206.10071 (2022)
[i36]
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  - journals/corr/abs-2207-08336
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Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu:
On Fair Classification with Mostly Private Sensitive Attributes. CoRR abs/2207.08336 (2022)
[i35]
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  - journals/corr/abs-2211-05289
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Canyu Chen, Haoran Wang, Matthew Shapiro, Yunyu Xiao, Fei Wang, Kai Shu:
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues. CoRR abs/2211.05289 (2022)

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