Kai Shu

232 papers A* 34A 14B 12C 1Misc 1Journal 135Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive recursive channel selection for robust decoding of motor imagery EEG signal in patients with intracerebral hemorrhage.
Pattern Recognit. Lett.
Shengjie Li, Jian Shi, Danyang Chen, Zheng Zhu, Feng Hu, Wei Jiang, Kai Shu, Zheng You, Ping Zhang, Zhouping Tang
2026 J jnl
Ahead of the Spread: Agent-Driven Virtual Propagation for Early Fake News Detection.
CoRR
Bincheng Gu, Min Gao, Junliang Yu, Zongwei Wang, Zhiyi Liu, Kai Shu, Hongyu Zhang
2026 A* conf
Benchmarking LLMs for Political Science: A United Nations Perspective.
AAAI
Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2026 A* conf
Can Editing LLMs Inject Harm?
AAAI
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
2026 A* conf
Can Multimodal LLMs Perform Time Series Anomaly Detection?
WWW
Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2026 J jnl
Community-strength-based fairness in GNN explanations for heterogeneous link prediction.
Expert Syst. Appl.
Yanhong Wen, Yuhua Li, Yao Wu, Yixiong Zou, Kai Shu, Quan Fu, Ruixuan Li
2026 J jnl
CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models.
CoRR
Weining Fu, Kai Shu, Kui Xu, Qiangfeng Cliff Zhang
2026 A* conf
Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm.
AAAI
Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2026 A* conf
Online GPU Energy Optimization with Switching-Aware Bandits.
WWW
Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu
2026 A* conf
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection.
WWW
Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin
2026 J jnl
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.
CoRR
Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026 J jnl
SafeMind: A Risk-Aware Differentiable Control Framework for Adaptive and Safe Quadruped Locomotion.
IEEE Access
Zukun Zhang, Kai Shu, Mingqiao Mo
2025 J jnl
"Everyone Else Does It": The Rise of Preprinting Culture in Computing Disciplines.
CoRR
Kyrie Zhixuan Zhou, Justin Eric Chen, Xiang Zheng, Yaoyao Qian, Yunpeng Xiao, Kai Shu
2025 J jnl
Benchmarking LLMs for Political Science: A United Nations Perspective.
CoRR
Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2025 J jnl
Beyond MedQA: Towards Real-world Clinical Decision Making in the Era of LLMs.
CoRR
Yunpeng Xiao, Carl Yang, Mark Mai, Xiao Hu, Kai Shu
2025 A* conf
Can Knowledge Editing Really Correct Hallucinations?
ICLR
Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
2025 J jnl
Can Multimodal LLMs Perform Time Series Anomaly Detection?
CoRR
Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2025 J jnl
Community-influencing path explanation for link prediction in heterogeneous graph neural network.
Neural Networks
Yanhong Wen, Yuhua Li, Yixiong Zou, Kai Shu, Han Chen, Ziwen Zhao, Jinxian Ye, Quan Fu, Ruixuan Li
2025 — conf
ConQRet: A New Benchmark for Fine-Grained Automatic Evaluation of Retrieval Augmented Computational Argumentation.
NAACL (Long Papers)
Kaustubh D. Dhole, Kai Shu, Eugene Agichtein
2025 J jnl
Data Augmentation for Seizure Prediction With Generative Diffusion Model.
IEEE Trans. Cogn. Dev. Syst.
Kai Shu, Le Wu, Yuchang Zhao, Aiping Liu, Ruobing Qian, Xun Chen
2025 J jnl
EmoFeedback
CoRR
Jingyang Jia, Kai Shu, Gang Yang, Long Xing, Xun Chen, Aiping Liu
2025 J jnl
Emulating Reader Behaviors for Fake News Detection.
IEEE Trans. Big Data
Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang
2025 B conf
FABLE: Fairness Attack in Abusive Language Detection.
IEEE Big Data
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
2025 — conf
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact-Checking and Explanation Generation.
WWW (Companion Volume)
Aman Rangapur, Haoran Wang, Ling Jian, Kai Shu
2025 A* conf
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.
EMNLP
Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu
2025 A* conf
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
WWW
Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang
2025 J jnl
Hybrid PDES Simulation of HPC Networks Using Zombie Packets.
ACM Trans. Model. Comput. Simul.
Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
2025 J jnl
Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction.
CoRR
Shanglin Wu, Lihui Liu, Jinho D. Choi, Kai Shu
2025 J jnl
KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.
CoRR
Yuzhang Xie, Hejie Cui, Ziyang Zhang, Jiaying Lu, Kai Shu, Fadi B. Nahab, Xiao-Hu Zhou, Carl Yang
2025 J jnl
Magnetoencephalography (MEG) Based Non-Invasive Chinese Speech Decoding.
CoRR
Zhihong Jia, Hongbin Wang, Yuanzhong Shen, Feng Hu, Jiayu An, Kai Shu, Dongrui Wu
2025 — conf
Measuring Sycophancy of Language Models in Multi-turn Dialogues.
EMNLP (Findings)
Jiseung Hong, Grace Byun, Seungone Kim, Kai Shu
2025 J jnl
Measuring Sycophancy of Language Models in Multi-turn Dialogues.
CoRR
Jiseung Hong, Grace Byun, Seungone Kim, Kai Shu
2025 J jnl
Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm.
CoRR
Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2025 J jnl
Multi-modal Robustness Fake News Detection with Cross-Modal and Propagation Network Contrastive Learning.
Knowl. Based Syst.
Han Chen, Hairong Wang, Zhipeng Liu, Yuhua Li, Yifan Hu, Yujing Zhang, Kai Shu, Ruixuan Li, Philip S. Yu
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 B conf
Piecing It All Together: Verifying Multi-Hop Multimodal Claims.
COLING
Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2025 J jnl
Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation.
CoRR
Haoran Wang, Xiongxiao Xu, Baixiang Huang, Kai Shu
2025 J jnl
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection.
CoRR
Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin
2025 J jnl
SACM: SEEG-Audio Contrastive Matching for Chinese Speech Decoding.
CoRR
Hongbin Wang, Zhihong Jia, Yuanzhong Shen, Ziwei Wang, Siyang Li, Kai Shu, Feng Hu, Dongrui Wu
2025 A conf
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting.
CIKM
Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu
2025 — conf
Spatial-Aware Visual Program Guided Reasoning for Answering Complex Visual Questions.
IJCNLP-AACL (Findings)
Haoran Wang, Kai Shu
2025 J jnl
Structural connectivity predicts the amelioration of postoperative rapid eye movement sleep behavior disorder in Parkinson's disease patients who underwent subthalamic nucleus-deep brain stimulation.
Comput. Biol. Medicine
Yusi Chen, Wei Jiang, Mengying Wang, Kai Shu, Huicong Kang
2025 B conf
Taxonomy-Guided Zero-Shot Recommendations with LLMs.
COLING
Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2025 J jnl
Towards Effective Model Editing for LLM Personalization.
CoRR
Baixiang Huang, Limeng Cui, Jiapeng Liu, Haoran Wang, Jiawei Xu, Zhuiyue Tan, Yutong Chen, Chen Luo, Yi Liu, Kai Shu
2025 J jnl
TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion.
CoRR
Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Kai Shu, Hanghang Tong
2025 J jnl
Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding.
CoRR
Yunpeng Xiao, Youpeng Zhao, Kai Shu
2025 J jnl
Unifying Knowledge in Agentic LLMs: Concepts, Methods, and Recent Advancements.
SIGKDD Explor.
Lihui Liu, Kai Shu
2025 J jnl
Variability Aware Recursive Neural Network (VARNN): A Residual-Memory Model for Capturing Temporal Deviation in Sequence Regression Modeling.
CoRR
Haroon Gharwi, Kai Shu
2025 J jnl
Who's Your Judge? On the Detectability of LLM-Generated Judgments.
CoRR
Dawei Li, Zhen Tan, Chengshuai Zhao, Bohan Jiang, Baixiang Huang, Pingchuan Ma, Abdullah Alnaibari, Kai Shu, Huan Liu
2024 J jnl
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.
CoRR
Baixiang Huang, Canyu Chen, Kai Shu
2024 J jnl
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.
SIGKDD Explor.
Baixiang Huang, Canyu Chen, Kai Shu
2024 B conf
Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization.
IJCNN
Jianfei Xiao, Yancan Chen, Yimin Ou, Hanyi Yu, Kai Shu, Yiyong Xiao
2024 — ed.
Benchmarking, Measuring, and Optimizing - 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3-5, 2023, Revised Selected Papers
Bench
Sascha Hunold, Biwei Xie, Kai Shu
2024 J jnl
Can Editing LLMs Inject Harm?
CoRR
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
2024 J jnl
Can Knowledge Editing Really Correct Hallucinations?
CoRR
Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
2024 A* conf
Can LLM-Generated Misinformation Be Detected?
ICLR
Canyu Chen, Kai Shu
2024 A* conf
Can Large Language Model Agents Simulate Human Trust Behavior?
NeurIPS
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip Torr, Bernard Ghanem, Guohao Li
2024 J jnl
Can Large Language Model Agents Simulate Human Trust Behaviors?
CoRR
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li
2024 — conf
Can Large Language Models Identify Authorship?
EMNLP (Findings)
Baixiang Huang, Canyu Chen, Kai Shu
2024 J jnl
Can Large Language Models Identify Authorship?
CoRR
Baixiang Huang, Canyu Chen, Kai Shu
2024 J jnl
ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
CoRR
Canyu Chen, Jian Yu, Shan Chen, Che Liu, Zhongwei Wan, Danielle S. Bitterman, Fei Wang, Kai Shu
2024 J jnl
Combating misinformation in the age of LLMs: Opportunities and challenges.
AI Mag.
Canyu Chen, Kai Shu
2024 J jnl
ConQRet: Benchmarking Fine-Grained Evaluation of Retrieval Augmented Argumentation with LLM Judges.
CoRR
Kaustubh D. Dhole, Kai Shu, Eugene Agichtein
2024 A* conf
EGGesture: Entropy-Guided Vector Quantized Variational AutoEncoder for Co-Speech Gesture Generation.
ACM Multimedia
Yiyong Xiao, Kai Shu, Haoyi Zhang, Baohua Yin, Wai Seng Cheang, Haoyang Wang, Jiechao Gao
2024 J jnl
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection.
ACM Trans. Knowl. Discov. Data
Yinqiu Huang, Min Gao, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou
2024 — conf
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes.
BIBM
Kai Shu, Yuzhuo Jia, Ziyang Zhang, Jiechao Gao
2024 J jnl
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes.
CoRR
Kai Shu, Yuzhuo Jia, Ziyang Zhang, Jiechao Gao
2024 Misc conf
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection.
ICASSP
Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou
2024 — conf
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire.
WWW (Companion Volume)
Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun
2024 J jnl
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.
CoRR
Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu
2024 J jnl
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
CoRR
Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang
2024 J jnl
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting.
CoRR
Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu
2024 — conf
Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison.
ASONAM (3)
SJ Dillon, Yueqing Liang, H. Russell Bernard, Kai Shu
2024 J jnl
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.
CoRR
Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong
2024 B conf
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection.
DSAA
Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu
2024 B conf
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.
DSAA
Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu
2024 J jnl
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.
CoRR
Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu
2024 J jnl
Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach.
CoRR
Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu
2024 J jnl
Piecing It All Together: Verifying Multi-Hop Multimodal Claims.
CoRR
Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, 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, Joaquin Vanschoren, John C. 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, Yong Chen, Yue Zhao
2024 J jnl
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors.
CoRR
Guanghua Li, Wensheng Lu, Wei Zhang, Defu Lian, Kezhong Lu, Rui Mao, Kai Shu, Hao Liao
2024 — conf
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features.
SIGSIM-PADS
Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu
2024 J jnl
Taxonomy-Guided Zero-Shot Recommendations with LLMs.
CoRR
Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2024 A conf
Trojan Activation Attack: Red-Teaming Large Language Models using Steering Vectors for Safety-Alignment.
CIKM
Haoran Wang, Kai Shu
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
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, 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 C. 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
2024 J jnl
Understanding the concerns and choices of public when using large language models for healthcare.
CoRR
Yunpeng Xiao, Kyrie Zhixuan Zhou, Yueqing Liang, Kai Shu
2023 A* conf
Attacking Fake News Detectors via Manipulating News Social Engagement.
WWW
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023 J jnl
Attacking Fake News Detectors via Manipulating News Social Engagement.
CoRR
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023 J jnl
Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment.
CoRR
Haoran Wang, Kai Shu
2023 J jnl
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.
CoRR
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
2023 J jnl
Can LLM-Generated Misinformation Be Detected?
CoRR
Canyu Chen, Kai Shu
2023 A* conf
Combating Disinformation on Social Media and Its Challenges: A Computational Perspective.
AAAI
Kai Shu
2023 J jnl
Combating Misinformation in the Age of LLMs: Opportunities and Challenges.
CoRR
Canyu Chen, Kai Shu
2023 J jnl
Data Augmentation for Seizure Prediction with Generative Diffusion Model.
CoRR
Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen
2023 J jnl
Emulating Reader Behaviors for Fake News Detection.
CoRR
Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang
2023 — conf
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models.
EMNLP (Findings)
Haoran Wang, Kai Shu
2023 J jnl
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models.
CoRR
Haoran Wang, Kai Shu
2023 J jnl
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting.
CoRR
Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, Kai Shu
2023 J jnl
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation.
CoRR
Aman Rangapur, Haoran Wang, Kai Shu
2023 J jnl
FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation.
Comput. Speech Lang.
Jia Wang, Min Gao, Yinqiu Huang, Kai Shu, Hualing Yi
2023 — conf
Hybrid PDES Simulation of HPC Networks Using Zombie Packets.
SIGSIM-PADS
Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
2023 J jnl
Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison.
CoRR
SJ Dillon, Yueqing Liang, H. Russell Bernard, Kai Shu
2023 J jnl
Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective.
CoRR
Aman Rangapur, Haoran Wang, Kai Shu
2023 A* conf
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
KDD
Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
2023 J jnl
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
CoRR
Hao Liao, Jiaohao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
2023 — conf
Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation.
SIGSIM-PADS
Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu
2023 J jnl
Memory-Guided Multi-View Multi-Domain Fake News Detection.
IEEE Trans. Knowl. Data Eng.
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
2023 J jnl
Meta-prompt based learning for low-resource false information detection.
Inf. Process. Manag.
Yinqiu Huang, Min Gao, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen
2023 J jnl
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection.
CoRR
Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu
2023 A conf
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners.
EACL
Canyu Chen, Kai Shu
2023 — conf
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks.
SIGSPATIAL/GIS
Baixiang Huang, Bryan Hooi, Kai Shu
2023 J jnl
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks.
CoRR
Baixiang Huang, Bryan Hooi, Kai Shu
2022 A* conf
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders.
WWW
Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani
2022 J jnl
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders.
CoRR
Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani
2022 A* conf
A Model-Agnostic Approach to Differentially Private Topic Mining.
KDD
Han Wang, Jayashree Sharma, Shuya Feng, Kai Shu, Yuan Hong
2022 C conf
An OTFS Channel Estimation Scheme Based on Efficient Sparse Bayesian Learning.
ICCC
Kai Shu, Xiandeng He, Lifeng Shi, Nan Chen
2022 J jnl
Applications of machine learning for COVID-19 misinformation: a systematic review.
Soc. Netw. Anal. Min.
A. R. Sanaullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu
2022 J jnl
Artificial Intelligence Algorithms for Treatment of Diabetes.
Algorithms
Mudassir M. Rashid, Mohammad-Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu, Ali Cinar
2022 A* conf
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
NeurIPS
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
2022 J jnl
Benchmarking Node Outlier Detection on Graphs.
CoRR
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
2022 J jnl
Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo.
CoRR
Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu
2022 J jnl
Characterizing multi-domain false news and underlying user effects on Chinese Weibo.
Inf. Process. Manag.
Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu
2022 J jnl
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues.
CoRR
Canyu Chen, Haoran Wang, Matthew A. Shapiro, Yunyu Xiao, Fei Wang, Kai Shu
2022 J jnl
Cross-Domain Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu
2022 — conf
Delving into Data Science Methods in Response to the COVID -19 Infodemic.
ASIST
Miyoung Chong, Chirag Shah, Kai Shu, Jiangen He, Loni Hagen
2022 A* conf
Domain Adaptive Fake News Detection via Reinforcement Learning.
WWW
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu
2022 J jnl
Domain Adaptive Fake News Detection via Reinforcement Learning.
CoRR
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu
2022 J jnl
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations".
Neurocomputing
Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu
2022 J jnl
Fair classification via domain adaptation: A dual adversarial learning approach.
Frontiers Big Data
Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu
2022 J jnl
Foreword to the special issue on dis/misinformation mining from social media.
Inf. Process. Manag.
Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam
2022 J jnl
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning.
Neuroinformatics
Wen Zhang, B. Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
2022 J jnl
Joint Adversarial Learning for Cross-domain Fair Classification.
CoRR
Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu
2022 J jnl
Memory-Guided Multi-View Multi-Domain Fake News Detection.
CoRR
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
2022 B conf
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.
IEEE Big Data
Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2022 J jnl
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.
CoRR
Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2022 J jnl
On Fair Classification with Mostly Private Sensitive Attributes.
CoRR
Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu
2022 J jnl
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners.
CoRR
Canyu Chen, Kai Shu
2022 J jnl
PyGOD: A Python Library for Graph Outlier Detection.
CoRR
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
2022 A conf
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features.
WSDM
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
2022 — conf
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding.
NAACL-HLT
Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah
2021 J jnl
A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues.
CoRR
A. R. Sana Ullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu
2021 B ed.
ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8 - 11, 2021
ASONAM
Michele Coscia, Alfredo Cuzzocrea, Kai Shu, Ralf Klamma, Sharyn O'Halloran, Jon G. Rokne
2021 B conf
Advances in Social Network Analysis and Mining in the Big Data Era: Overview of the IEEE/ACM ASONAM 2021 International Conference
ASONAM
Michele Coscia, Alfredo Cuzzocrea, Kai Shu
2021 J jnl
An Approximation of Label Distribution-Based Ensemble Learning Method for Online Educational Prediction.
Int. J. Comput. Commun. Control
Long Zhang, Kai Shu, Keyu Huang, Ruiqiu Zhang
2021 A* conf
Causal Understanding of Fake News Dissemination on Social Media.
KDD
Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2021 — ed.
Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers
CONSTRAINT@AAAI
Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md. Shad Akhtar
2021 — conf
DAFD: Domain Adaptation Framework for Fake News Detection.
ICONIP (1)
Yinqiu Huang, Min Gao, Jia Wang, Kai Shu
2021 J jnl
Detecting Fake News With Weak Social Supervision.
IEEE Intell. Syst.
Kai Shu, Susan T. Dumais, Ahmed Hassan Awadallah, Huan Liu
2021 J jnl
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach.
CoRR
Zhao Wang, Kai Shu, Aron Culotta
2021 A* conf
Fact-Enhanced Synthetic News Generation.
AAAI
Kai Shu, Yichuan Li, Kaize Ding, Huan Liu
2021 — conf
Generating Topic-Preserving Synthetic News.
IEEE BigData
Ahmadreza Mosallanezhad, Kai Shu, Huan Liu
2021 A* conf
Labeled Data Generation with Inexact Supervision.
KDD
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
2021 J jnl
Labeled Data Generation with Inexact Supervision.
CoRR
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
2021 A* conf
Mining Dual Emotion for Fake News Detection.
WWW
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, Kai Shu
2021 — conf
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection.
IEEE BigData
Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton D. Faber, Cameron Fiddes, Elaine Chen, Kai Shu
2021 — conf
Racial Attacks during the COVID -19 Pandemic: Politicizing an Epidemic Crisis on Longstanding Racism and Misinformation, Disinformation, and Misconception.
ASIST
Miyoung Chong, Thomas J. Froehlich, Kai Shu
2021 J jnl
Temporally evolving graph neural network for fake news detection.
Inf. Process. Manag.
Chenguang Song, Kai Shu, Bin Wu
2021 A* conf
The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web.
KDD
Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu
2021 A* conf
User Preference-aware Fake News Detection.
SIGIR
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2021 J jnl
User Preference-aware Fake News Detection.
CoRR
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2021 J jnl
WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding.
CoRR
Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah
2021 J jnl
You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features.
CoRR
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
2020 — conf
Authorship Attribution for Neural Text Generation.
EMNLP (1)
Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee
2020 — conf
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics.
CIKM (Workshops)
Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu
2020 J jnl
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics.
CoRR
Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu
2020 J jnl
Combating Disinformation in a Social Media Age.
CoRR
Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu
2020 J jnl
Combating disinformation in a social media age.
WIREs Data Mining Knowl. Discov.
Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu
2020 J jnl
Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges.
CoRR
Amrita Bhattacharjee, Kai Shu, Min Gao, Huan Liu
2020 — conf
Early Detection of Fake News with Multi-source Weak Social Supervision.
ECML/PKDD (3)
Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu
2020 J jnl
Exploring Correlation Network for Cheating Detection.
ACM Trans. Intell. Syst. Technol.
Ping Luo, Kai Shu, Junjie Wu, Li Wan, Yong Tan
2020 J jnl
Fact-Enhanced Synthetic News Generation.
CoRR
Kai Shu, Yichuan Li, Kaize Ding, Huan Liu
2020 J jnl
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media.
Big Data
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
2020 A conf
Graph Prototypical Networks for Few-shot Learning on Attributed Networks.
CIKM
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020 J jnl
Graph Prototypical Networks for Few-shot Learning on Attributed Networks.
CoRR
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020 A conf
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation.
ICWSM
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu
2020 J jnl
Incorporating User-Comment Graph for Fake News Detection.
CoRR
Hao Liao, Qi-Xin Liu, Kai Shu, Xing Xie
2020 — conf
Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection.
WebSci
Kai Shu, Liangda Li, Suhang Wang, Yunhong Zhou, Huan Liu
2020 J jnl
Joint Spatial and Temporal Modeling for Hydrological Prediction.
IEEE Access
Qun Zhao, Yuelong Zhu, Kai Shu, Dingsheng Wan, Yufeng Yu, Xudong Zhou, Huan Liu
2020 A* conf
Learning with Weak Supervision for Email Intent Detection.
SIGIR
Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais
2020 J jnl
Learning with Weak Supervision for Email Intent Detection.
CoRR
Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais
2020 J jnl
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
CoRR
Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu
2020 J jnl
MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation.
CoRR
Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu
2020 J jnl
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements.
CoRR
Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
2020 — conf
Spatial Community-Informed Evolving Graphs for Demand Prediction.
ECML/PKDD (5)
Qianru Wang, Bin Guo, Yi Ouyang, Kai Shu, Zhiwen Yu, Huan Liu
2020 A conf
The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media.
CIKM
Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam
2020 J jnl
Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach.
CoRR
Ahmadreza Mosallanezhad, Kai Shu, Huan Liu
2020 — conf
Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation.
IEEE BigData
Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu
2020 J jnl
Towards Causal Understanding of Fake News Dissemination.
CoRR
Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2020 A conf
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model.
CIKM
Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
2020 J jnl
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model.
CoRR
Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019 B conf
5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines.
ASONAM
Thai Le, Kai Shu, Maria D. Molina, Dongwon Lee, S. Shyam Sundar, Huan Liu
2019 J jnl
Applications of Social Media in Hydroinformatics: A Survey.
CoRR
Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Kai Shu, Huan Liu
2019 A conf
Beyond News Contents: The Role of Social Context for Fake News Detection.
WSDM
Kai Shu, Suhang Wang, Huan Liu
2019 J jnl
Deep causal representation learning for unsupervised domain adaptation.
CoRR
Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu
2019 — book
Detecting Fake News on Social Media
Kai Shu, Huan Liu
2019 J jnl
Detecting Fake News with Weak Social Supervision.
CoRR
Kai Shu, Ahmed Hassan Awadallah, Susan T. Dumais, Huan Liu
2019 — conf
Exploiting Emojis for Sarcasm Detection.
SBP-BRiMS
Jayashree Subramanian, Varun Sridharan, Kai Shu, Huan Liu
2019 A* conf
Fake News Research: Theories, Detection Strategies, and Open Problems.
KDD
Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu
2019 A conf
Fake News: Fundamental Theories, Detection Strategies and Challenges.
WSDM
Xinyi Zhou, Reza Zafarani, Kai Shu, Huan Liu
2019 J jnl
FakeNewsTracker: a tool for fake news collection, detection, and visualization.
Comput. Math. Organ. Theory
Kai Shu, Deepak Mahudeswaran, Huanyu Liu
2019 J jnl
Graph Neural Networks for User Identity Linkage.
CoRR
Wen Zhang, Kai Shu, Huan Liu, Yalin Wang
2019 J jnl
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation.
CoRR
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu
2019 J jnl
I Am Not What I Write: Privacy Preserving Text Representation Learning.
CoRR
Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu
2019 A conf
Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.
WSDM
Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu
2019 J jnl
Mining Dual Emotion for Fake News Detection.
CoRR
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, Kai Shu
2019 — conf
Privacy Preserving Text Representation Learning.
HT
Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu
2019 J jnl
The Role of User Profile for Fake News Detection.
CoRR
Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
2019 B conf
The role of user profiles for fake news detection.
ASONAM
Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
2019 J jnl
Towards privacy preserving social recommendation under personalized privacy settings.
World Wide Web
Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2019 A* conf
Unsupervised Fake News Detection on Social Media: A Generative Approach.
AAAI
Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu
2019 A conf
dEFEND: A System for Explainable Fake News Detection.
CIKM
Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
2019 A* conf
dEFEND: Explainable Fake News Detection.
KDD
Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu
2018 A conf
CrossFire: Cross Media Joint Friend and Item Recommendations.
WSDM
Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2018 A* conf
Deep Headline Generation for Clickbait Detection.
ICDM
Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu
2018 B conf
Exploiting User Actions for App Recommendations.
ASONAM
Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo
2018 J jnl
FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media.
CoRR
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
2018 — conf
Multimodal Fusion of Brain Networks with Longitudinal Couplings.
MICCAI (3)
Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
2018 A* conf
Personalized Privacy-Preserving Social Recommendation.
AAAI
Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2018 J jnl
Securing Social Media User Data - An Adversarial Approach.
CoRR
Ghazaleh Beigi, Kai Shu, Yanchao Zhang, Huan Liu
2018 — conf
Securing Social Media User Data: An Adversarial Approach.
HT
Ghazaleh Beigi, Kai Shu, Yanchao Zhang, Huan Liu
2018 J jnl
Studying Fake News via Network Analysis: Detection and Mitigation.
CoRR
Kai Shu, H. Russell Bernard, Huan Liu
2018 — conf
Understanding Cyber Attack Behaviors with Sentiment Information on Social Media.
SBP-BRiMS
Kai Shu, Amy Sliva, Justin Sampson, Huan Liu
2018 — conf
Understanding User Profiles on Social Media for Fake News Detection.
MIPR
Kai Shu, Suhang Wang, Huan Liu
2017 — conf
Beamforming with Enhanced CNN Network.
ICNCC
Kai Shu, Yanteng Wang, Guanghui Zhao
2017 J jnl
Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications.
CoRR
Fred Morstatter, Kai Shu, Suhang Wang, Huan Liu
2017 J jnl
Exploiting Tri-Relationship for Fake News Detection.
CoRR
Kai Shu, Suhang Wang, Huan Liu
2017 J jnl
Fake News Detection on Social Media: A Data Mining Perspective.
CoRR
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017 J jnl
Fake News Detection on Social Media: A Data Mining Perspective.
SIGKDD Explor.
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017 A* conf
What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation.
WWW
Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu
2016 A* conf
Multi-Label Informed Feature Selection.
IJCAI
Ling Jian, Jundong Li, Kai Shu, Huan Liu
2016 J jnl
User Identity Linkage across Online Social Networks: A Review.
SIGKDD Explor.
Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, Huan Liu
2014 A conf
Deal or deceit: detecting cheating in distribution channels.
CIKM
Kai Shu, Ping Luo, Wan Li, Peifeng Yin, Linpeng Tang