Kai Shu

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 157

Top Venues

Publications

Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. SIGSIM-PADS (2024)
Guanghua Li, Wensheng Lu, Wei Zhang, Defu Lian, Kezhong Lu, Rui Mao, Kai Shu, Hao Liao
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors. CoRR (2024)
Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. WWW (Companion Volume) (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
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 (2024)
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu
Can Editing LLMs Inject Harm? CoRR (2024)
Yunpeng Xiao, Kyrie Zhixuan Zhou, Yueqing Liang, Kai Shu
Understanding the concerns and choices of public when using large language models for healthcare. CoRR (2024)
Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. ICASSP (2024)
Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
Taxonomy-Guided Zero-Shot Recommendations with LLMs. CoRR (2024)
Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models. CoRR (2024)
Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. CoRR (2024)
Baixiang Huang, Canyu Chen, Kai Shu
Can Large Language Models Identify Authorship? CoRR (2024)
Canyu Chen, Kai Shu
Can LLM-Generated Misinformation Be Detected? ICLR (2024)
Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. CoRR (2024)
Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen
Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR (2023)
Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu
Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. SIGSIM-PADS (2023)
Yifan Li, Zhen Tan, Kai Shu, Zongsheng Cao, Yu Kong, Huan Liu
CSGNN: Conquering Noisy Node labels via Dynamic Class-wise Selection. CoRR (2023)
Canyu Chen, Kai Shu
Can LLM-Generated Misinformation Be Detected? CoRR (2023)
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models. CoRR (2023)
SJ Dillon, Yueqing Liang, H. Russell Bernard, Kai Shu
Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison. CoRR (2023)
Aman Rangapur, Haoran Wang, Kai Shu
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation. CoRR (2023)
Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection. CoRR (2023)
Baixiang Huang, Bryan Hooi, Kai Shu
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. SIGSPATIAL/GIS (2023)
Jia Wang, Min Gao, Yinqiu Huang, Kai Shu, Hualing Yi
FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation. Comput. Speech Lang. 78 (2023)
Aman Rangapur, Haoran Wang, Kai Shu
Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective. CoRR (2023)
Canyu Chen, Kai Shu
Combating Misinformation in the Age of LLMs: Opportunities and Challenges. CoRR (2023)
Kai Shu
Combating Disinformation on Social Media and Its Challenges: A Computational Perspective. AAAI (2023)
Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. KDD (2023)
Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
Hybrid PDES Simulation of HPC Networks Using Zombie Packets. SIGSIM-PADS (2023)
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR (2023)
Canyu Chen, Kai Shu
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners. EACL (2023)
Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, Kai Shu
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting. CoRR (2023)
Baixiang Huang, Bryan Hooi, Kai Shu
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. CoRR (2023)
Haoran Wang, Kai Shu
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models. CoRR (2023)
Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang
Emulating Reader Behaviors for Fake News Detection. CoRR (2023)
Hao Liao, Jiaohao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. CoRR (2023)
Haoran Wang, Kai Shu
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models. EMNLP (Findings) (2023)
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
Attacking Fake News Detectors via Manipulating News Social Engagement. WWW (2023)
Haoran Wang, Kai Shu
Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment. CoRR (2023)
Yinqiu Huang, Min Gao, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen
Meta-prompt based learning for low-resource false information detection. Inf. Process. Manag. 60 (3) (2023)
Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. Big Data (2022)
Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu
Characterizing multi-domain false news and underlying user effects on Chinese Weibo. Inf. Process. Manag. 59 (4) (2022)
Canyu Chen, Kai Shu
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners. CoRR (2022)
Miyoung Chong, Chirag Shah, Kai Shu, Jiangen He, Loni Hagen
Delving into Data Science Methods in Response to the COVID -19 Infodemic. ASIST (2022)
Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. CoRR (2022)
Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam
Foreword to the special issue on dis/misinformation mining from social media. Inf. Process. Manag. 59 (2) (2022)
Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu
Fair classification via domain adaptation: A dual adversarial learning approach. Frontiers Big Data 5 (2022)
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu
Domain Adaptive Fake News Detection via Reinforcement Learning. WWW (2022)
Han Wang, Jayashree Sharma, Shuya Feng, Kai Shu, Yuan Hong
A Model-Agnostic Approach to Differentially Private Topic Mining. KDD (2022)
Mudassir M. Rashid, Mohammad-Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu, Ali Cinar
Artificial Intelligence Algorithms for Treatment of Diabetes. Algorithms 15 (9) (2022)
Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. WWW (2022)
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. WSDM (2022)
Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations". Neurocomputing 500 (2022)
A. R. Sanaullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu
Applications of machine learning for COVID-19 misinformation: a systematic review. Soc. Netw. Anal. Min. 12 (1) (2022)
Kai Shu, Xiandeng He, Lifeng Shi, Nan Chen
An OTFS Channel Estimation Scheme Based on Efficient Sparse Bayesian Learning. ICCC (2022)
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu
Domain Adaptive Fake News Detection via Reinforcement Learning. CoRR (2022)
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)
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 (2022)
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
Memory-Guided Multi-View Multi-Domain Fake News Detection. CoRR (2022)
Wen Zhang, B. Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. Neuroinformatics 20 (2) (2022)
Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. CoRR (2022)
Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu
Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo. CoRR (2022)
Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu
Cross-Domain Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
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 (2022)
Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu
On Fair Classification with Mostly Private Sensitive Attributes. CoRR (2022)
Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu
Joint Adversarial Learning for Cross-domain Fair Classification. CoRR (2022)
Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding. NAACL-HLT (2022)
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 (2022)
Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
Causal Understanding of Fake News Dissemination on Social Media. KDD (2021)
Kai Shu, Yichuan Li, Kaize Ding, Huan Liu
Fact-Enhanced Synthetic News Generation. AAAI (2021)
Zhao Wang, Kai Shu, Aron Culotta
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach. CoRR (2021)
A. R. Sana Ullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu
A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues. CoRR (2021)
Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah
WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding. CoRR (2021)
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
Labeled Data Generation with Inexact Supervision. CoRR (2021)
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
User Preference-aware Fake News Detection. SIGIR (2021)
Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton Faber, Cameron Fiddes, Elaine Chen, Kai Shu
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection. IEEE BigData (2021)
Chenguang Song, Kai Shu, Bin Wu
Temporally evolving graph neural network for fake news detection. Inf. Process. Manag. 58 (6) (2021)
Ahmadreza Mosallanezhad, Kai Shu, Huan Liu
Generating Topic-Preserving Synthetic News. IEEE BigData (2021)
Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu
The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. KDD (2021)
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
User Preference-aware Fake News Detection. CoRR (2021)
Yinqiu Huang, Min Gao, Jia Wang, Kai Shu
DAFD: Domain Adaptation Framework for Fake News Detection. ICONIP (1) (2021)
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. CoRR (2021)
Miyoung Chong, Thomas J. Froehlich, Kai Shu
Racial Attacks during the COVID -19 Pandemic: Politicizing an Epidemic Crisis on Longstanding Racism and Misinformation, Disinformation, and Misconception. ASIST (2021)
Long Zhang, Kai Shu, Keyu Huang, Ruiqiu Zhang
An Approximation of Label Distribution-Based Ensemble Learning Method for Online Educational Prediction. Int. J. Comput. Commun. Control 16 (3) (2021)
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, Kai Shu
Mining Dual Emotion for Fake News Detection. WWW (2021)
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
Labeled Data Generation with Inexact Supervision. KDD (2021)
Michele Coscia, Alfredo Cuzzocrea, Kai Shu
Advances in Social Network Analysis and Mining in the Big Data Era: Overview of the IEEE/ACM ASONAM 2021 International Conference ASONAM (2021)
Kai Shu, Susan T. Dumais, Ahmed Hassan Awadallah, Huan Liu
Detecting Fake News With Weak Social Supervision. IEEE Intell. Syst. 36 (4) (2021)
Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu
Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation. IEEE BigData (2020)
Amrita Bhattacharjee, Kai Shu, Min Gao, Huan Liu
Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges. CoRR (2020)
Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott Ruston, Huan Liu
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News. CoRR (2020)
Kai Shu, Liangda Li, Suhang Wang, Yunhong Zhou, Huan Liu
Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection. WebSci (2020)
Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu
Combating Disinformation in a Social Media Age. CoRR (2020)
Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott Ruston, Huan Liu
Early Detection of Fake News with Multi-source Weak Social Supervision. ECML/PKDD (3) (2020)
Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CoRR (2020)
Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee
Authorship Attribution for Neural Text Generation. EMNLP (1) (2020)
Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. CoRR (2020)
Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. CIKM (2020)
Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
Towards Causal Understanding of Fake News Dissemination. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kai Shu