| 2026 | ACL | Expect the Unexpected? Testing the Surprisal of Salient Entities. | Jessica Lin, Amir Zeldes |
| 2025 | ACL | GUM-SAGE: A Novel Dataset and Approach for Graded Entity Salience Prediction. | Jessica Lin, Amir Zeldes |
| 2025 | EMNLP | Toward Inclusive Language Models: Sparsity-Driven Calibration for Systematic and Interpretable Mitigation of Social Biases in LLMs. | Prommy Sultana Hossain, Chahat Raj, Ziwei Zhu, Jessica Lin, Emanuela Marasco |
| 2024 | EACL | GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres. | Jessica Lin, Amir Zeldes |
| 2024 | EMNLP | GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains. | Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Levine, Jessica Lin, Devika Tiwari, Amir Zeldes |
| 2024 | PAKDD | Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-supervised Time Series Classification. | Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin |
| 2023 | CHI | Translation as (Re)mediation: How Ethnic Community-Based Organizations Negotiate Legitimacy. | Cella Monet Sum, Anh-Ton Tran, Jessica Lin, Rachel Kuo, Cynthia L. Bennett, Christina N. Harrington, Sarah E. Fox |
| 2023 | SDM | PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. | Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin |
| 2022 | ICDM | Robust Time Series Chain Discovery with Incremental Nearest Neighbors. | Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin |
| 2022 | SDM | Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series. | Li Zhang, Nital Patel, Xiuqi Li, Jessica Lin |
| 2021 | IOLTS | Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. | Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi |
| 2020 | AAAI | TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. | Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu |
| 2020 | EDBT | Ensemble Grammar Induction For Detecting Anomalies in Time Series. | Yifeng Gao, Jessica Lin, Constantin Brif |
| 2020 | SDM | Semantic Discord: Finding Unusual Local Patterns for Time Series. | Li Zhang, Yifeng Gao, Jessica Lin |
| 2019 | EDBT | Finding Meaningful Contrast Patterns for Quantitative Data. | Rohan Khade, Jessica Lin, Nital Patel |
| 2019 | ICDM | Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. | Yifeng Gao, Jessica Lin |
| 2019 | ICDM | Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. | Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu |
| 2019 | IJCAI | Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. | Xiaosheng Li, Jessica Lin, Liang Zhao |
| 2019 | SDM | Linear Time Motif Discovery in Time Series. | Xiaosheng Li, Jessica Lin |
| 2019 | SSDBM | Deep Stacked Ensemble Recommender. | Rasaq Otunba, Raimi A. Rufai, Jessica Lin |
| 2018 | EDBT | Finding Contrast Patterns for Mixed Streaming Data (Application track). | Rohan Khade, Jessica Lin, Nital Patel |
| 2018 | EDBT | Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification. | Daoyuan Li, Jessica Lin, Tegawend F. Bissyand, Jacques Klein, Yves Le Traon |
| 2018 | SDM | Evolving Separating References for Time Series Classification. | Xiaosheng Li, Jessica Lin |
| 2017 | ICDM | Efficient discovery of time series motifs with large length range in million scale time series. | Yifeng Gao, Jessica Lin |
| 2017 | ICDM | IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. | Yifeng Gao, Jessica Lin, Huzefa Rangwala |
| 2017 | ICDM | Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features. | Xiaosheng Li, Jessica Lin |
| 2017 | RecSys | MPR: Multi-Objective Pairwise Ranking. | Rasaq Otunba, Raimi A. Rufai, Jessica Lin |
| 2016 | CIKM | A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing. | Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun |
| 2016 | EDBT | RPM: Representative Pattern Mining for Efficient Time Series Classification. | Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein |
| 2016 | ICMLA | Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. | Yifeng Gao, Jessica Lin, Huzefa Rangwala |
| 2015 | CIKM | A Generative Model For Time Series Discretization Based On Multiple Normal Distributions. | Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang |
| 2015 | EDBT | Time series anomaly discovery with grammar-based compression. | Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein |
| 2015 | ICMLA | Frequent Set Mining for Streaming Mixed and Large Data. | Rohan Khade, Jessica Lin, Nital Patel |
| 2015 | ICMLA | A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. | Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu |
| 2015 | ICWS | Measuring the Potential for Victimization in Malicious Content. | Matthew L. Hale, Rose F. Gamble, John Hale, Charles Haney, Jessica Lin, Charles Walter |
| 2014 | GECCO | SAX-EFG: an evolutionary feature generation framework for time series classification. | Uday Kamath, Jessica Lin, Kenneth A. De Jong |
| 2014 | PAKDD | MBPD: Motif-Based Period Detection. | Rasaq Otunba, Jessica Lin, Pavel Senin |
| 2014 | SEKE | APT: Approximate Period Detection in Time Series. | Rasaq Otunba, Jessica Lin |
| 2013 | CIKM | Motif discovery in spatial trajectories using grammar inference. | Tim Oates, Arnold P. Boedihardjo, Jessica Lin, Crystal Chen, Susan Frankenstein, Sunil Gandhi |
| 2012 | SDM | Visualizing Variable-Length Time Series Motifs. | Yuan Li, Jessica Lin, Tim Oates |
| 2010 | CBMS | Finding approximate frequent patterns in streaming medical data. | Jessica Lin, Yuan Li |
| 2009 | CBMS | Finding structurally different medical data. | Jessica Lin, Yuan Li |
| 2009 | SSDBM | Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation. | Jessica Lin, Yuan Li |
| 2008 | CIKM | Towards an error-free Arabic stemming. | Eiman Tamah Al-Shammari, Jessica Lin |
| 2008 | SIGIR | A novel Arabic lemmatization algorithm. | Eiman Tamah Al-Shammari, Jessica Lin |
| 2008 | SDM | Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data. | Jessica Lin, David Etter, David DeBarr |
| 2006 | ADMA | Finding Time Series Discords Based on Haar Transform. | Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin |
| 2005 | CBMS | Approximations to Magic: Finding Unusual Medical Time Series. | Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle |
| 2005 | ICDM | HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. | Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu |
| 2005 | PAKDD | A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. | Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le |
| 2004 | EDBT | Iterative Incremental Clustering of Time Series. | Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos |
| 2004 | KDD | Visually mining and monitoring massive time series. | Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom |
| 2004 | VLDB | VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases. | Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom |
| 2003 | ICDM | Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research. | Eamonn J. Keogh, Jessica Lin, Wagner Truppel |
| 2002 | ICDM | Mining Motifs in Massive Time Series Databases. | Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi |