Huan Liu

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 440

Top Venues

Publications

Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. CoRR (2024)
Junrui Liu, Tong Li, Zhen Yang, Di Wu, Huan Liu
Fusion learning of preference and bias from ratings and reviews for item recommendation. Data Knowl. Eng. 150 (2024)
Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. CoRR (2024)
Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. EACL (Findings) (2024)
Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Ying-Chih Chen
CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs. AAAI (2024)
Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models. CoRR (2024)
Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
Adversarial Text Purification: A Large Language Model Approach for Defense. CoRR (2024)
Ayushi Nirmal, Amrita Bhattacharjee, Paras Sheth, Huan Liu
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales. CoRR (2024)
Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
Adversarial Text Purification: A Large Language Model Approach for Defense. PAKDD (5) (2024)
Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. WACV (2024)
Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu
Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach. CoRR (2024)
Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen
A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. KDD (2024)
Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. NAACL-HLT (2024)
Anique Tahir, Lu Cheng, Huan Liu
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning. CoRR (2024)
Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR (2024)
Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu
User Migration across Multiple Social Media Platforms. SDM (2024)
Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang
Label Distribution Learning-Enhanced Dual-KNN for Text Classification. SDM (2024)
Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. WSDM (2024)
Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
Large Language Models for Data Annotation: A Survey. CoRR (2024)
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) (2024)
Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR (2024)
Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR (2024)
Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR (2024)
Fahim Tasneema Azad, K. Selçuk Candan, Ahmet Kapkiç, Mao-Lin Li, Huan Liu, Pratanu Mandal, Paras Sheth, Bilgehan Arslan, Gerardo Chowell-Puente, John Sabo, Rebecca Muenich, Javier Redondo Anton, Maria Luisa Sapino
(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning. ACM Trans. Spatial Algorithms Syst. 10 (2) (2024)
Siddhant Bhambri, Amrita Bhattacharjee, Huan Liu, Subbarao Kambhampati
Efficient Reinforcement Learning via Large Language Model-based Search. CoRR (2024)
Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social. CoRR (2024)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. CoRR (2024)
Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. CoRR (2024)
Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong
Facial Affective Behavior Analysis with Instruction Tuning. CoRR (2024)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
EAGLE: A Domain Generalization Framework for AI-generated Text Detection. 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)
Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu
Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. ICWSM (2024)
Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. CoRR (2024)
Raha Moraffah, Huan Liu
Exploiting Class Probabilities for Black-box Sentence-level Attacks. CoRR (2024)
Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. AAAI (2024)
Yoonhyuk Choi, Reepal Shah, John Sabo, K. Selcuk Candan, Huan Liu
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. CoRR (2024)
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI (2024)
Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu
Disinformation Detection: An Evolving Challenge in the Age of LLMs. SDM (2024)
Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. SIGIR (2024)
Yougang Xiao, Yuhan Li, Huan Liu, Yingguo Chen, Yalin Wang, Guohua Wu
Adaptive large neighborhood search algorithm with reinforcement search strategy for solving extended cooperative multi task assignment problem of UAVs. Inf. Sci. 679 (2024)
Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2024)
Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation. CoRR (2024)
Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg
Defending Against Social Engineering Attacks in the Age of LLMs. CoRR (2024)
Haiyang Yu, Runtong Xu, Hui Zhang, Zhen Yang, Huan Liu
EV-FL: Efficient Verifiable Federated Learning With Weighted Aggregation for Industrial IoT Networks. IEEE/ACM Trans. Netw. 32 (2) (2024)
Bahman Moraffah, Huan Liu
Exploiting Class Probabilities for Black-box Sentence-level Attacks. EACL (Findings) (2024)
Raha Moraffah, Huan Liu
A Generative Approach to Surrogate-based Black-box Attacks. CoRR (2024)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
Zero-shot LLM-guided Counterfactual Generation for Text. CoRR (2024)
Song Wang, Zhen Tan, Huan Liu, Jundong Li
Contrastive Meta-Learning for Few-shot Node Classification. KDD (2023)
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR (2023)
Tharindu Kumarage, Huan Liu
Neural Authorship Attribution: Stylometric Analysis on Large Language Models. CyberC (2023)
Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu
Virtual Node Tuning for Few-shot Node Classification. KDD (2023)
Tharindu Kumarage, Huan Liu
Neural Authorship Attribution: Stylometric Analysis on Large Language Models. CoRR (2023)
Faisal Alatawi, Paras Sheth, Huan Liu
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. CoRR (2023)
Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu
CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Amrita Bhattacharjee, Huan Liu
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? CoRR (2023)
Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. CIKM (2023)
Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. SIGIR (2023)
Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. CoRR (2023)
Qihan Wang, Anique Tahir, Zeyad Alghamdi, Huan Liu
Exploring Musical, Lyrical, and Network Dimensions of Music Sharing Among Depression Individuals. CoRR (2023)
Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong
Learning Node Abnormality with Weak Supervision. CIKM (2023)
Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu
User Migration across Multiple Social Media Platforms. CoRR (2023)
Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu
Virtual Node Tuning for Few-shot Node Classification. CoRR (2023)
Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. IEEE Intell. Syst. 38 (2) (2023)
Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu
Inductive Linear Probing for Few-shot Node Classification. CoRR (2023)
Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu
Inductive Linear Probing for Few-Shot Node Classification. SBP-BRiMS (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework. CoRR (2023)
Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. CoRR (2023)
Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. ICDM (Workshops) (2023)
Suraj Jyothi Unni, Raha Moraffah, Huan Liu
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization. CoRR (2023)
Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. CoRR (2023)
Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown
Detecting Harmful Agendas in News Articles. CoRR (2023)
Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. EMNLP (Findings) (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. ECML/PKDD (1) (2023)
Faisal Alatawi, Paras Sheth, Huan Liu
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. ASONAM (2023)
Garima Agrawal, Tharindu Kumarage, Zeyad Alghami, Huan Liu
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. CoRR (2023)
Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown
Towards Detecting Harmful Agendas in News Articles. WASSA@ACL (2023)
Amrita Bhattacharjee, Huan Liu
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? SIGKDD Explor. 25 (2) (2023)
Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation. CoRR (2023)
Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang, Huan Liu
A Two-tier Shared Embedding Method for Review-based Recommender Systems. CIKM (2023)
Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. CoRR (2023)
Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan
Causal Disentanglement for Implicit Recommendations with Network Information. ACM Trans. Knowl. Discov. Data 17 (7) (2023)
Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. AAAI (2023)
Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. CoRR (2023)
Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. IJCNLP (1) (2023)
Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. CoRR (2023)
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu
Stylometric Detection of AI-Generated Text in Twitter Timelines. CoRR (2023)
Yixin Liu, Kaize Ding, Jianling Wang, Vincent Lee, Huan Liu, Shirui Pan
Learning Strong Graph Neural Networks with Weak Information. CoRR (2023)
Anique Tahir, Lu Cheng, Huan Liu
Fairness through Aleatoric Uncertainty. CoRR (2023)
Anique Tahir, Lu Cheng, Huan Liu
Fairness through Aleatoric Uncertainty. CIKM (2023)
Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM (2023)
Zhen Yang, Ming Zhou, Haiyang Yu, Richard O. Sinnott, Huan Liu
Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu
Disinformation Detection: An Evolving Challenge in the Age of LLMs. CoRR (2023)
Ayushi Nirmal, Bohan Jiang, Huan Liu
SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection. CoRR (2023)
Garima Agrawal, Dimitri P. Bertsekas, Huan Liu
Auction-Based Learning for Question Answering over Knowledge Graphs. Inf. 14 (6) (2023)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? CoRR (2023)
Shisong Yang, Yuwen Chen, Zhen Yang, Bowen Li, Huan Liu
Fast Secure Aggregation With High Dropout Resilience for Federated Learning. IEEE Trans. Green Commun. Netw. 7 (3) (2023)
Song Wang, Zhen Tan, Huan Liu, Jundong Li
Contrastive Meta-Learning for Few-shot Node Classification. CoRR (2023)
Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
Socially Responsible Machine Learning: A Causal Perspective. KDD (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Huan Liu