2024

  • Can LLM-Generated Misinformation be Detected?

    Can LLM-Generated Misinformation be Detected?

    Canyu Chen, Kai Shu.

    ICLR, 2024.

    Paper Code

    • 2023

  • Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models

    Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models

    Haoran Wang, Kai Shu.

    EMNLP, 2023.

    Paper Code
  • Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment

    Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment

    Haoran Wang, Kai Shu.

    Preprint, 2023.

    Paper Code
  • PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners.

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

    Canyu Chen, Kai Shu.

    Workshop at NeurIPS 2022, EACL, 2023.

    Paper Code
  • FIN-FACT: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation

    FIN-FACT: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation

    Aman Rangapur, Haoran Wang, Kai Shu.

    Preprint, 2023.

    Paper Code
  • Attacking Fake News Detectors via Manipulating News Social Engagement

    Attacking Fake News Detectors via Manipulating News Social Engagement

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

    ACM Web Conference, 2023.

    Paper Code
  • Combating Misinformation in the Age of LLMs: Opportunities and Challenges

    Combating Misinformation in the Age of LLMs: Opportunities and Challenges

    Canyu Chen, Kai Shu.

    Preprint, 2023.

    Paper Code
  • Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach

    Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach

    Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu.

    Frontiers in Big Data, 2023.

    Paper Code
  • Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective

    Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective

    Aman Rangapur, Haoran Wang, Kai Shu.

    Preprint, 2023.

    Paper Code
  • MetaGAD: Learning to Meta-Transfer for Few-shot Graph Anomaly Detection

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

    Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu.

    Preprint, 2023.

    Paper Code
  • TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks

    TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks

    Baixiang Huang, Bryan Hooi, Kai Shu.

    ACM-SIGSPATIAL, 2023.

    Paper Code
  • Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation

    Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation

    Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu.

    SIGSIM-PADS, 2023.

    Paper Code
  • Hybrid PDES Simulation of HPC Networks using Zombie Packets.

    Hybrid PDES Simulation of HPC Networks using Zombie Packets.

    Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers.

    SIGSIM-PADS, 2023.

    Paper Code
  • Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison

    Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison

    SJ Dillon, Yueqing Liang, H. Russell Bernard, Kai Shu.

    Preprint, 2023.

    Paper Code

    • 2022

  • When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes

    When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes

    Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Ashish Kundu, Ali Payani, Yuan Hong, Kai Shu.

    NeurIPS, 2022.

    Paper Code
  • BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

    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.

    NeurIPS, 2022.

    Paper Code
  • Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues

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

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

    Preprint, 2022.

    Paper Code