A Computer Vision Framework for Partitioning of Image-Object Through Graph Theoretical Heuristic Approach. - Sourav Saha 001; Ankita Mandal; Paras Sheth; Harshita Narnoli; Priya Ranjan Sinha Mahapatra (CICBA (2), 2017)

CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. - Paras Sheth; Ujun Jeong; Ruocheng Guo; Huan Liu 001; K. Selçuk Candan (CIKM, 2021)

Causal Learning for Socially Responsible AI. - Lu Cheng 001; Ahmadreza Mosallanezhad; Paras Sheth; Huan Liu 001 (IJCAI, 2021)

Causal inference for time series analysis: problems, methods and evaluation. - Raha Moraffah; Paras Sheth; Mansooreh Karami; Anchit Bhattacharya; Qianru Wang; Anique Tahir; Adrienne Raglin; Huan Liu 001 (Knowl. Inf. Syst., 2021)

Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. - Raha Moraffah; Paras Sheth; Huan Liu 001 (IEEE Big Data, 2022)

Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems. - Paras Sheth; Ting Liu; Durmus Doner; Qi Deng; Yuhang Wei; Rebecca Muenich; John Sabo; K. Selçuk Candan; Huan Liu 001 (IEEE Big Data, 2022)

STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. - Paras Sheth; Reepal Shah; John Sabo; K. Selçuk Candan; Huan Liu 001 (IEEE Big Data, 2022)

Causal Disentanglement with Network Information for Debiased Recommendations. - Paras Sheth; Ruocheng Guo; Kaize Ding; Lu Cheng 001; K. Selçuk Candan; Huan Liu 001 (SISAP, 2022)

Causal Disentanglement with Network Information for Debiased Recommendations. - Paras Sheth; Ruocheng Guo; Lu Cheng 001; Huan Liu 001; K. Selçuk Candan (CoRR, 2022)

CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. - Bohan Jiang; Paras Sheth; Baoxin Li; Huan Liu 001 (CoRR, 2022)

Estimating Topic Exposure for Under-Represented Users on Social Media. - Mansooreh Karami; Ahmadreza Mosallanezhad; Paras Sheth; Huan Liu 001 (CoRR, 2022)

Improving Vaccine Stance Detection by Combining Online and Offline Data. - Anique Tahir; Lu Cheng 001; Paras Sheth; Huan Liu 001 (CoRR, 2022)

Domain Generalization - A Causal Perspective. - Paras Sheth; Raha Moraffah; K. Selçuk Candan; Adrienne Raglin; Huan Liu 001 (CoRR, 2022)

Evaluation Methods and Measures for Causal Learning Algorithms. - Lu Cheng 001; Ruocheng Guo; Raha Moraffah; Paras Sheth; K. Selçuk Candan; Huan Liu 001 (IEEE Trans. Artif. Intell., 2022)

Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. - Faisal Alatawi; Paras Sheth; Huan Liu 001 (ASONAM, 2023)

STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. - Paras Sheth; Ahmadreza Mosallanezhad; Kaize Ding; Reepal Shah; John Sabo; Huan Liu 001; K. Selçuk Candan (CIKM, 2023)

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. - Tharindu Kumarage; Paras Sheth; Raha Moraffah; Joshua Garland; Huan Liu 001 (EMNLP (Findings), 2023)

Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. - Mansooreh Karami; David Mosallanezhad; Paras Sheth; Huan Liu 001 (ICDM (Workshops), 2023)

PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. - Paras Sheth; Tharindu Kumarage; Raha Moraffah; Aman Chadha; Huan Liu 001 (ECML/PKDD (1), 2023)

UPREVE: An End-to-End Causal Discovery Benchmarking System. - Suraj Jyothi Unni; Paras Sheth; Kaize Ding; Huan Liu 001; K. Selçuk Candan (CoRR, 2023)

Causal Disentanglement for Implicit Recommendations with Network Information. - Paras Sheth; Ruocheng Guo; Lu Cheng 001; Huan Liu 001; Kasim Selçuk Candan (ACM Trans. Knowl. Discov. Data, 2023)

Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. - Paras Sheth; Tharindu Kumarage; Raha Moraffah; Aman Chadha; Huan Liu 001 (IEEE Big Data, 2024)

Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. - Ahmet Kapkiç; Pratanu Mandal; Shu Wan 002; Paras Sheth; Abhinav Gorantla; Yoonhyuk Choi; Huan Liu 001; K. Selçuk Candan (CIKM, 2024)

Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. - Ujun Jeong; Paras Sheth; Anique Tahir; Faisal Alatawi; H. Russell Bernard; Huan Liu 001 (ICWSM, 2024)

Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. - Paras Sheth; Raha Moraffah; Tharindu S. Kumarage; Aman Chadha; Huan Liu 001 (WSDM, 2024)

Causal Feature Selection for Responsible Machine Learning. - Raha Moraffah; Paras Sheth; Saketh Vishnubhatla; Huan Liu 001 (CoRR, 2024)

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. - Tharindu Kumarage; Garima Agrawal; Paras Sheth; Raha Moraffah; Aman Chadha; Joshua Garland; Huan Liu 001 (CoRR, 2024)

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales. - Ayushi Nirmal; Amrita Bhattacharjee; Paras Sheth; Huan Liu 001 (CoRR, 2024)

(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning. - Fahim Tasneema Azad; K. Selçuk Candan; Ahmet Kapkiç; Mao-Lin Li; Huan Liu 001; Pratanu Mandal; Paras Sheth; Bilgehan Arslan; Gerardo Chowell-Puente; John Sabo; Rebecca Muenich; Javier Redondo Anton; et al. (ACM Trans. Spatial Algorithms Syst., 2024)