Kai Shu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
23
Active years
2014–2026
Best venue rank
A*
Where they publish
- A*WWW11 papers
- ACIKM8 papers
- A*AAAI7 papers
- A*KDD7 papers
- A*EMNLP5 papers
- AWSDM5 papers
- BPADS3 papers
- BPAKDD2 papers
- BCOLING2 papers
- A*ICLR2 papers
- ANAACL2 papers
- BDSAA2 papers
- A*SIGIR2 papers
- BIJCNLP1 paper
- MulticonferenceICASSP1 paper
- A*ICML1 paper
- BIJCNN1 paper
- AEACL1 paper
- BICONIP1 paper
- AICWSM1 paper
- A*ICDM1 paper
- AMICCAI1 paper
- A*IJCAI1 paper
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Can Editing LLMs Inject Harm? | 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 | AAAI | Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm. | Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu |
| 2026 | AAAI | Benchmarking LLMs for Political Science: A United Nations Perspective. | Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu |
| 2026 | PAKDD | RLKGC: Reinforcement Learning Retrieval with Large Language Models for Knowledge Graph Completion. | Urshi Barua Teya, Kai Shu, Suzan Arslanturk, Sorin Draghici, Lihui Liu |
| 2026 | PAKDD | Memory in LLM-Based Multi-agent Systems: Mechanisms, Challenges, and Collective Intelligence. | Shanglin Wu, Kai Shu |
| 2026 | WWW | Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection. | Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin |
| 2026 | WWW | Online GPU Energy Optimization with Switching-Aware Bandits. | Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu |
| 2026 | WWW | Can Multimodal LLMs Perform Time Series Anomaly Detection? | Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu |
| 2025 | CIKM | SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting. | Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu |
| 2025 | COLING | Taxonomy-Guided Zero-Shot Recommendations with LLMs. | Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu |
| 2025 | COLING | Piecing It All Together: Verifying Multi-Hop Multimodal Claims. | Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu |
| 2025 | EMNLP | Measuring Sycophancy of Language Models in Multi-turn Dialogues. | Jiseung Hong, Grace Byun, Seungone Kim, Kai Shu |
| 2025 | EMNLP | From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. | 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 | ICLR | Can Knowledge Editing Really Correct Hallucinations? | Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu |
| 2025 | IJCNLP | Spatial-Aware Visual Program Guided Reasoning for Answering Complex Visual Questions. | Haoran Wang, Kai Shu |
| 2025 | NAACL | ConQRet: A New Benchmark for Fine-Grained Automatic Evaluation of Retrieval Augmented Computational Argumentation. | Kaustubh D. Dhole, Kai Shu, Eugene Agichtein |
| 2025 | WWW | Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact-Checking and Explanation Generation. | Aman Rangapur, Haoran Wang, Ling Jian, Kai Shu |
| 2025 | WWW | Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection. | Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang |
| 2024 | CIKM | Trojan Activation Attack: Red-Teaming Large Language Models using Steering Vectors for Safety-Alignment. | Haoran Wang, Kai Shu |
| 2024 | DSAA | Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. | Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu |
| 2024 | DSAA | MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection. | Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu |
| 2024 | EMNLP | Can Large Language Models Identify Authorship? | Baixiang Huang, Canyu Chen, Kai Shu |
| 2024 | ICASSP | Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. | Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou |
| 2024 | ICLR | Can LLM-Generated Misinformation Be Detected? | Canyu Chen, Kai Shu |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | 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 | IJCNN | Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization. | Jianfei Xiao, Yancan Chen, Yimin Ou, Hanyi Yu, Kai Shu, Yiyong Xiao |
| 2024 | PADS | Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. | Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu |
| 2024 | WWW | From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. | Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun |
| 2023 | AAAI | Combating Disinformation on Social Media and Its Challenges: A Computational Perspective. | Kai Shu |
| 2023 | EACL | PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners. | Canyu Chen, Kai Shu |
| 2023 | EMNLP | Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models. | Haoran Wang, Kai Shu |
| 2023 | KDD | MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. | Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie |
| 2023 | PADS | 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 |
| 2023 | PADS | 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 |
| 2023 | WWW | Attacking Fake News Detectors via Manipulating News Social Engagement. | Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu |
| 2022 | KDD | A Model-Agnostic Approach to Differentially Private Topic Mining. | Han Wang, Jayashree Sharma, Shuya Feng, Kai Shu, Yuan Hong |
| 2022 | NAACL | WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding. | Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah |
| 2022 | WWW | Domain Adaptive Fake News Detection via Reinforcement Learning. | Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu |
| 2022 | WWW | "This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. | Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani |
| 2022 | WSDM | Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. | Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang |
| 2021 | AAAI | Fact-Enhanced Synthetic News Generation. | Kai Shu, Yichuan Li, Kaize Ding, Huan Liu |
| 2021 | ICONIP | DAFD: Domain Adaptation Framework for Fake News Detection. | Yinqiu Huang, Min Gao, Jia Wang, Kai Shu |
| 2021 | KDD | Causal Understanding of Fake News Dissemination on Social Media. | Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu |
| 2021 | KDD | Labeled Data Generation with Inexact Supervision. | Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang |
| 2021 | KDD | The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. | Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu |
| 2021 | WWW | Mining Dual Emotion for Fake News Detection. | Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, Kai Shu |
| 2021 | SIGIR | User Preference-aware Fake News Detection. | Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun |
| 2020 | CIKM | The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media. | Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam |
| 2020 | CIKM | Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. | Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2020 | CIKM | Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. | Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu |
| 2020 | CIKM | Graph Prototypical Networks for Few-shot Learning on Attributed Networks. | Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu |
| 2020 | EMNLP | Authorship Attribution for Neural Text Generation. | Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee |
| 2020 | ICWSM | Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. | Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu |
| 2020 | SIGIR | Learning with Weak Supervision for Email Intent Detection. | Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais |
| 2019 | AAAI | Unsupervised Fake News Detection on Social Media: A Generative Approach. | Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu |
| 2019 | CIKM | dEFEND: A System for Explainable Fake News Detection. | Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu |
| 2019 | KDD | dEFEND: Explainable Fake News Detection. | Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu |
| 2019 | KDD | Fake News Research: Theories, Detection Strategies, and Open Problems. | Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu |
| 2019 | WSDM | Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. | Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu |
| 2019 | WSDM | Beyond News Contents: The Role of Social Context for Fake News Detection. | Kai Shu, Suhang Wang, Huan Liu |
| 2019 | WSDM | Fake News: Fundamental Theories, Detection Strategies and Challenges. | Xinyi Zhou, Reza Zafarani, Kai Shu, Huan Liu |
| 2018 | AAAI | Personalized Privacy-Preserving Social Recommendation. | Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang |
| 2018 | ICDM | Deep Headline Generation for Clickbait Detection. | Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu |
| 2018 | MICCAI | Multimodal Fusion of Brain Networks with Longitudinal Couplings. | Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang |
| 2018 | WSDM | CrossFire: Cross Media Joint Friend and Item Recommendations. | Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu |
| 2017 | WWW | What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. | Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu |
| 2016 | IJCAI | Multi-Label Informed Feature Selection. | Ling Jian, Jundong Li, Kai Shu, Huan Liu |
| 2014 | CIKM | Deal or deceit: detecting cheating in distribution channels. | Kai Shu, Ping Luo, Wan Li, Peifeng Yin, Linpeng Tang |