Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3567-3315")
— Carnegie Mellon University, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-21 17:38 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
