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ORCIDJessica Lin 0001
林 虹汎
Person information
- affiliation: George Mason University
- unicode name: 林 虹汎
Other persons with the same name
- Jessica Lin — disambiguation page
- Jessica Lin 0002 — University of Otago Christchurch, Department of Medicine, Christchurch, New Zealand
- Jessica Lin 0003 — University of California, Berkeley
- Jessica Lin 0004 — Georgetown University
- Jessica Lin 0005
![[0000-0002-3567-3315]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3567-3315")
— Carnegie Mellon University, USA
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2020 – today
- 2024
[c64]Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin:
Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-supervised Time Series Classification. PAKDD (6) 2024: 276-287- [i8]Xiaosheng Li, Wenjie Xi, Jessica Lin:
RandomNet: Clustering Time Series Using Untrained Deep Neural Networks. CoRR abs/2408.07956 (2024) - 2023
- [c63]Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin:
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. SDM 2023: 891-899 - [i7]Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin:
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. CoRR abs/2301.01838 (2023) - [i6]Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin:
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification. CoRR abs/2301.04838 (2023) - 2022
- [c62]Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin:
Robust Time Series Chain Discovery with Incremental Nearest Neighbors. ICDM 2022: 1311-1316 - [c61]Li Zhang, Nital Patel, Xiuqi Li, Jessica Lin:
Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series. SDM 2022: 208-216 - [i5]Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin:
Robust Time Series Chain Discovery with Incremental Nearest Neighbors. CoRR abs/2211.02146 (2022) - 2021
- [j20]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun:
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. 5(4): 28 (2021) - [j19]Xiaosheng Li, Jessica Lin, Liang Zhao:
Time series clustering in linear time complexity. Data Min. Knowl. Discov. 35(6): 2369-2388 (2021) - [j18]Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sasan, Jessica Lin:
CPM: A general feature dependency pattern mining framework for contrast multivariate time series. Pattern Recognit. 112: 107711 (2021) - [c60]Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi:
Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. IOLTS 2021: 1-7 - 2020
- [j17]Qingzhe Li, Liang Zhao, Yi-Ching Lee, Jessica Lin:
Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment. ACM Trans. Spatial Algorithms Syst. 6(4): 25:1-25:28 (2020) - [c59]Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu:
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI 2020: 6845-6852 - [c58]Yifeng Gao, Jessica Lin, Constantin Brif:
Ensemble Grammar Induction For Detecting Anomalies in Time Series. EDBT 2020: 85-96 - [c57]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun:
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI 2020: 175-180 - [c56]Li Zhang, Yifeng Gao, Jessica Lin:
Semantic Discord: Finding Unusual Local Patterns for Time Series. SDM 2020: 136-144 - [i4]Yifeng Gao, Jessica Lin, Constantin Brif:
Ensemble Grammar Induction For Detecting Anomalies in Time Series. CoRR abs/2001.11102 (2020) - [i3]Li Zhang, Yifeng Gao, Jessica Lin:
Semantic Discord: Finding Unusual Local Patterns for Time Series. CoRR abs/2001.11842 (2020)
2010 – 2019
- 2019
- [j16]Iqbal Owadally, Feng Zhou, Rasaq Otunba, Jessica Lin, Douglas Wright:
An agent-based system with temporal data mining for monitoring financial stability on insurance markets. Expert Syst. Appl. 123: 270-282 (2019) - [j15]Yifeng Gao, Jessica Lin:
HIME: discovering variable-length motifs in large-scale time series. Knowl. Inf. Syst. 61(1): 513-542 (2019) - [c55]Rohan Khade, Jessica Lin, Nital Patel:
Finding Meaningful Contrast Patterns for Quantitative Data. EDBT 2019: 444-455 - [c54]Yifeng Gao, Jessica Lin:
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. ICDM 2019: 220-229 - [c53]Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu:
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. ICDM 2019: 1192-1197 - [c52]Xiaosheng Li, Jessica Lin, Liang Zhao:
Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. IJCAI 2019: 2930-2936 - [c51]Xiaosheng Li, Jessica Lin:
Linear Time Motif Discovery in Time Series. SDM 2019: 136-144 - [c50]Rasaq Otunba, Raimi A. Rufai, Jessica Lin:
Deep Stacked Ensemble Recommender. SSDBM 2019: 197-201 - [i2]Yifeng Gao, Jessica Lin:
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. CoRR abs/1911.09218 (2019) - 2018
- [j14]Yifeng Gao, Jessica Lin:
Exploring variable-length time series motifs in one hundred million length scale. Data Min. Knowl. Discov. 32(5): 1200-1228 (2018) - [j13]Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun:
Exact variable-length anomaly detection algorithm for univariate and multivariate time series. Data Min. Knowl. Discov. 32(6): 1806-1844 (2018) - [j12]Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein:
GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns. ACM Trans. Knowl. Discov. Data 12(1): 10:1-10:28 (2018) - [c49]Daoyuan Li, Jessica Lin, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification. EDBT 2018: 205-216 - [c48]Rohan Khade, Jessica Lin, Nital Patel:
Finding Contrast Patterns for Mixed Streaming Data (Application track). EDBT 2018: 632-641 - [c47]Xiaosheng Li, Jessica Lin:
Evolving Separating References for Time Series Classification. SDM 2018: 243-251 - [i1]Yifeng Gao, Jessica Lin:
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series. CoRR abs/1802.04883 (2018) - 2017
- [c46]Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala:
A Uniform Representation for Trajectory Learning Tasks. SIGSPATIAL/GIS 2017: 80:1-80:4 - [c45]Yifeng Gao, Jessica Lin, Huzefa Rangwala:
IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICDM 2017: 111-116 - [c44]Xiaosheng Li, Jessica Lin:
Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features. ICDM 2017: 277-286 - [c43]Yifeng Gao, Jessica Lin:
Efficient discovery of time series motifs with large length range in million scale time series. ICDM 2017: 1213-1222 - [c42]Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala:
TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. ECML/PKDD (3) 2017: 428-431 - [c41]Rasaq Otunba, Raimi A. Rufai, Jessica Lin:
MPR: Multi-Objective Pairwise Ranking. RecSys 2017: 170-178 - [c40]Crystal Chen, Arnold P. Boedihardjo, Brian S. Jenkins, Charlotte L. Ellison, Jessica Lin, Pavel Senin, Tim Oates:
STAVIS 2.0: Mining Spatial Trajectories via Motifs. SSTD 2017: 433-439 - 2016
- [j11]Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber:
Improving the recognition of grips and movements of the hand using myoelectric signals. BMC Medical Informatics Decis. Mak. 16(S-2): 78 (2016) - [c39]Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun:
A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing. CIKM 2016: 1823-1832 - [c38]Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein:
RPM: Representative Pattern Mining for Efficient Time Series Classification. EDBT 2016: 185-196 - [c37]Yifeng Gao, Jessica Lin, Huzefa Rangwala:
Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICMLA 2016: 7-12 - 2015
- [c36]Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber:
Using myoelectric signals to recognize grips and movements of the hand. BIBM 2015: 388-394 - [c35]Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang:
A Generative Model For Time Series Discretization Based On Multiple Normal Distributions. PIKM@CIKM 2015: 19-25 - [c34]Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein:
Time series anomaly discovery with grammar-based compression. EDBT 2015: 481-492 - [c33]Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu:
A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. ICMLA 2015: 202-207 - [c32]Rohan Khade, Jessica Lin, Nital Patel:
Frequent Set Mining for Streaming Mixed and Large Data. ICMLA 2015: 1130-1135 - 2014
- [c31]Uday Kamath, Jessica Lin, Kenneth A. De Jong:
SAX-EFG: an evolutionary feature generation framework for time series classification. GECCO 2014: 533-540 - [c30]Rasaq Otunba, Jessica Lin, Pavel Senin:
MBPD: Motif-Based Period Detection. PAKDD Workshops 2014: 793-804 - [c29]Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner:
GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series. ECML/PKDD (3) 2014: 468-472 - [c28]Rasaq Otunba, Jessica Lin:
APT: Approximate Period Detection in Time Series. SEKE 2014: 490-494 - 2013
- [j10]Chun-Kit Ngan, Alexander Brodsky, Jessica Lin:
Multi-event decision making over multivariate time series. Int. J. Inf. Decis. Sci. 5(3): 263-282 (2013) - [c27]Tim Oates, Arnold P. Boedihardjo, Jessica Lin, Crystal Chen, Susan Frankenstein, Sunil Gandhi:
Motif discovery in spatial trajectories using grammar inference. CIKM 2013: 1465-1468 - 2012
- [j9]Jessica Lin, Rohan Khade, Yuan Li:
Rotation-invariant similarity in time series using bag-of-patterns representation. J. Intell. Inf. Syst. 39(2): 287-315 (2012) - [c26]Chun-Kit Ngan, Alexander Brodsky, Jessica Lin:
R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series. DSS 2012: 209-220 - [c25]Yuan Li, Jessica Lin, Tim Oates:
Visualizing Variable-Length Time Series Motifs. SDM 2012: 895-906 - 2011
- [j8]Jessica Lin, Guido Cervone, Nigel Waters:
DMGI 2010 workshop report: The First ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (San Jose, California - November 2, 2010). ACM SIGSPATIAL Special 3(1): 6-7 (2011) - [c24]Chun-Kit Ngan, Alexander Brodsky, Jessica Lin:
A Service Framework for Learning, Querying and Monitoring Multivariate Time Series. ICEIS (2) 2011: 92-101 - [c23]Chun-Kit Ngan, Alexander Brodsky, Jessica Lin:
An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series. ICEIS 2011: 208-223 - 2010
- [j7]Jessica Lin, William Ott:
Observing Infinite-dimensional Dynamical Systems. SIAM J. Appl. Dyn. Syst. 9(4): 1229-1243 (2010) - [c22]Jessica Lin, Yuan Li:
Finding approximate frequent patterns in streaming medical data. CBMS 2010: 13-18 - [c21]Jessica Lin, Guido Cervone, Pasquale Franzese:
Assessment of error in air quality models using dynamic time warping. GIS-DMG 2010: 38-44 - [p2]Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. Data Mining and Knowledge Discovery Handbook 2010: 1049-1077 - [e1]Jessica Lin, Guido Cervone, Nigel Waters:
Proceedings of the 2010 First International Workshop on Data Mining for Geoinformatics, DMG 2010, November 2, 2010, San Jose, CA, USA, Proceedings. ACM 2010, ISBN 978-1-4503-0430-6 [contents]
2000 – 2009
- 2009
- [c20]Jessica Lin, Yuan Li:
Finding structurally different medical data. CBMS 2009: 1-8 - [c19]Jessica Lin, Yuan Li:
Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation. SSDBM 2009: 461-477 - 2008
- [c18]Eiman Tamah Al-Shammari, Jessica Lin:
Towards an error-free Arabic stemming. CIKM-iNEWS 2008: 9-16 - [c17]Eiman Tamah Al-Shammari, Jessica Lin:
A new Arabic stemming algorithm. ExLing 2008: 13-16 - [c16]Jessica Lin, David Etter, David DeBarr:
Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data. SDM 2008: 656-667 - [c15]Eiman Tamah Al-Shammari, Jessica Lin:
A novel Arabic lemmatization algorithm. AND 2008: 113-118 - 2007
- [j6]Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi:
Experiencing SAX: a novel symbolic representation of time series. Data Min. Knowl. Discov. 15(2): 107-144 (2007) - [j5]Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga Van Herle:
Finding the most unusual time series subsequence: algorithms and applications. Knowl. Inf. Syst. 11(1): 1-27 (2007) - 2006
- [j4]Stefano Lonardi, Jessica Lin, Eamonn J. Keogh, Bill Yuan-chi Chiu:
Efficient Discovery of Unusual Patterns in Time Series. New Gener. Comput. 25(1): 61-93 (2006) - [j3]Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu, Helga Van Herle:
Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications. IEEE Trans. Inf. Technol. Biomed. 10(3): 429-439 (2006) - [c14]Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin:
Finding Time Series Discords Based on Haar Transform. ADMA 2006: 31-41 - [c13]Jessica Lin, Eamonn J. Keogh:
Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data. PKDD 2006: 284-296 - 2005
- [j2]Jessica Lin, Eamonn J. Keogh, Stefano Lonardi:
Visualizing and discovering non-trivial patterns in large time series databases. Inf. Vis. 4(2): 61-82 (2005) - [j1]Eamonn J. Keogh, Jessica Lin:
Clustering of time-series subsequences is meaningless: implications for previous and future research. Knowl. Inf. Syst. 8(2): 154-177 (2005) - [c12]Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle:
Approximations to Magic: Finding Unusual Medical Time Series. CBMS 2005: 329-334 - [c11]Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu:
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. ICDM 2005: 226-233 - [c10]Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le:
A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. PAKDD 2005: 333-342 - [p1]Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. The Data Mining and Knowledge Discovery Handbook 2005: 1069-1103 - 2004
- [c9]Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu:
We Have Seen the Future, and It Is Symbolic. ACSW 2004: 83 - [c8]Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos:
Iterative Incremental Clustering of Time Series. EDBT 2004: 106-122 - [c7]Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom:
Visually mining and monitoring massive time series. KDD 2004: 460-469 - [c6]Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom:
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases. VLDB 2004: 1269-1272 - 2003
- [c5]Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu:
A symbolic representation of time series, with implications for streaming algorithms. DMKD 2003: 2-11 - [c4]Jessica Lin, Eamonn J. Keogh, Wagner Truppel:
Clustering of streaming time series is meaningless. DMKD 2003: 56-65 - [c3]Jessica Lin, Eamonn J. Keogh, Wagner Truppel:
(Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research. IC-AI 2003: 55-61 - [c2]Eamonn J. Keogh, Jessica Lin, Wagner Truppel:
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research. ICDM 2003: 115-122 - 2002
- [c1]Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi:
Mining Motifs in Massive Time Series Databases. ICDM 2002: 370-377
Coauthor Index
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