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ORCIDKyungmi Lee
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2020 – today
- 2024
[b1]Kyungmi Lee:
Towards Secure Machine Learning Acceleration: Threats and Defenses Across Algorithms, Architecture, and Circuits. MIT, USA, 2024- [j27]Adikarige Randil Sanjeewa Madanayake
, Kyungmi Lee, Ickjai Lee:
Spatio-Temporal Contact Mining for Multiple Trajectories-of-Interest. IEEE Access 12: 79458-79467 (2024) - [j26]Adikarige Randil Sanjeewa Madanayake, Kyungmi Lee, Ickjai Lee:
Mining contacts from spatio-temporal trajectories. AI Open 5: 197-207 (2024) - [j25]Saurav Maji, Kyungmi Lee, Anantha P. Chandrakasan:
SparseLeakyNets: Classification Prediction Attack Over Sparsity-Aware Embedded Neural Networks Using Timing Side-Channel Information. IEEE Comput. Archit. Lett. 23(1): 133-136 (2024) - [j24]Saurav Maji, Kyungmi Lee, Cheng Gongye, Yunsi Fei, Anantha P. Chandrakasan:
An Energy-Efficient Neural Network Accelerator With Improved Resilience Against Fault Attacks. IEEE J. Solid State Circuits 59(9): 3106-3116 (2024) - [c29]Bonan Zhang, Chao Chen, Ickjai Lee, Kyungmi Lee, Kok-Leong Ong:
Clustering-based Evaluation Framework of Feature Extraction Approaches for ECG Biometric Authentication. IJCNN 2024: 1-9 - 2023
- [j23]Kyungmi Lee, Tim Cheongho Lee, Maria Yefimova, Sidharth Kumar, Frank Puga, Andres Azuero, Arif Kamal, Marie A. Bakitas, Alexi Wright, George Demiris, Christine S. Ritchie, Carolyn E. Z. Pickering, J. Nicholas Dionne-Odom:
Using digital phenotyping to understand health-related outcomes: A scoping review. Int. J. Medical Informatics 174: 105061 (2023) - [c28]Saurav Maji, Kyungmi Lee, Cheng Gongye, Yunsi Fei, Anantha P. Chandrakasan:
An Energy-Efficient Neural Network Accelerator with Improved Protections Against Fault-Attacks. ESSCIRC 2023: 233-236 - [c27]Andrew Amos, Kyungmi Lee, Tarun Sen Gupta, Bunmi Malau-Aduli:
Defining the Boundaries of Psychiatric and Medical Knowledge: Applying Cartographic Principles to Self-Organising Maps. MedInfo 2023: 795-799 - [c26]Kyungmi Lee, Mengjia Yan, Joel S. Emer, Anantha P. Chandrakasan:
SecureLoop: Design Space Exploration of Secure DNN Accelerators. MICRO 2023: 194-208 - 2022
- [c25]Kyungmi Lee, Anantha P. Chandrakasan:
SparseBFA: Attacking Sparse Deep Neural Networks with the Worst-Case Bit Flips on Coordinates. ICASSP 2022: 4208-4212 - 2021
- [j22]Kyungmi Lee, Anantha P. Chandrakasan:
Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks. IEEE Open J. Circuits Syst. 2: 843-855 (2021) - [c24]Bonan Zhang, Jingjin Li, Chao Chen, Kyungmi Lee, Ickjai Lee:
A Practical Botnet Traffic Detection System Using GNN. CSS 2021: 66-78 - [c23]Kyungmi Lee, Anantha P. Chandrakasan:
Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks. SiPS 2021: 46-51 - 2020
- [j21]Ye Wang, Kyungmi Lee, Ickjai Lee:
Visual analytical tools for multivariate higher-order information for emergency management. J. Vis. 23(4): 721-743 (2020) - [j20]Sisi Liu, Kyungmi Lee, Ickjai Lee:
Document-level multi-topic sentiment classification of Email data with BiLSTM and data augmentation. Knowl. Based Syst. 197: 105918 (2020) - [i2]Kyungmi Lee, Anantha P. Chandrakasan:
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods. CoRR abs/2006.01304 (2020)
2010 – 2019
- 2019
- [j19]Dongzhi Zhang, Kyungmi Lee, Ickjai Lee:
Mining hierarchical semantic periodic patterns from GPS-collected spatio-temporal trajectories. Expert Syst. Appl. 122: 85-101 (2019) - [j18]Dongzhi Zhang, Kyungmi Lee, Ickjai Lee:
Multi-level medical periodic patterns from human movement behaviors. Health Inf. Sci. Syst. 7(1): 9 (2019) - [j17]Dongzhi Zhang, Kyungmi Lee, Ickjai Lee:
Semantic periodic pattern mining from spatio-temporal trajectories. Inf. Sci. 502: 164-189 (2019) - [i1]Euntae Choi, Kyungmi Lee, Kiyoung Choi:
Autoencoder-Based Incremental Class Learning without Retraining on Old Data. CoRR abs/1907.07872 (2019) - 2018
- [j16]Guochen Cai, Kyungmi Lee, Ickjai Lee:
Mining Mobility Patterns from Geotagged Photos Through Semantic Trajectory Clustering. Cybern. Syst. 49(4): 234-256 (2018) - [j15]Dongzhi Zhang, Kyungmi Lee, Ickjai Lee:
Hierarchical trajectory clustering for spatio-temporal periodic pattern mining. Expert Syst. Appl. 92: 1-11 (2018) - [j14]Guochen Cai, Kyungmi Lee, Ickjai Lee:
Itinerary recommender system with semantic trajectory pattern mining from geo-tagged photos. Expert Syst. Appl. 94: 32-40 (2018) - [j13]Ye Wang, Kyungmi Lee, Ickjai Lee:
DNA-chart visual tool for topological higher order information from spatio-temporal trajectory dataset. Expert Syst. Appl. 108: 28-35 (2018) - [j12]Guochen Cai, Kyungmi Lee, Ickjai Lee:
Mining Semantic Trajectory Patterns from Geo-Tagged Data. J. Comput. Sci. Technol. 33(4): 849-862 (2018) - [c22]Dongzhi Zhang, Kyungmi Lee, Ickjai Lee:
Mining Medical Periodic Patterns from Spatio-Temporal Trajectories. HIS 2018: 123-133 - 2016
- [c21]Ye Wang, Kyungmi Lee, Ickjai Lee:
Visual Analytical Tool for Higher Order k-Means Clustering for Trajectory Data Mining. Australasian Conference on Artificial Intelligence 2016: 507-518 - [c20]Guochen Cai, Kyungmi Lee, Ickjai Lee:
A Framework for Mining Semantic-Level Tourist Movement Behaviours from Geo-tagged Photos. Australasian Conference on Artificial Intelligence 2016: 519-524 - [c19]Guochen Cai, Kyungmi Lee, Ickjai Lee:
Discovering Common Semantic Trajectories from Geo-tagged Social Media. IEA/AIE 2016: 320-332 - [c18]Ye Wang, Kyungmi Lee, Ickjai Lee:
Multivariate Higher Order Information for Emergency Management Based on Tourism Trajectory Datasets. IEA/AIE 2016: 725-736 - 2015
- [c17]Ye Wang, Kyungmi Lee, Ickjai Lee:
Treemap Representations of Higher Order Information for Moving Objects. ISKE 2015: 287-294 - [c16]Dongzhi Zhang, Kyungmi Lee, Ickjai Lee:
Periodic Pattern Mining for Spatio-Temporal Trajectories: A Survey. ISKE 2015: 306-313 - [c15]Luke Bermingham, Kyungmi Lee, Trina S. Myers:
Meta-heuristics to Optimise Complex FIFO (Fly-in-Fly-out) Workforce Roster Modelling in the Mining Sector. ISKE 2015: 521-525 - 2014
- [j11]Ickjai Lee, Guochen Cai, Kyungmi Lee:
Exploration of geo-tagged photos through data mining approaches. Expert Syst. Appl. 41(2): 397-405 (2014) - [j10]Shah Atiqur Rahman, Insu Song, Maylor K. H. Leung, Ickjai Lee, Kyungmi Lee:
Fast action recognition using negative space features. Expert Syst. Appl. 41(2): 574-587 (2014) - [j9]Guochen Cai, Chihiro Hio, Luke Bermingham, Kyungmi Lee, Ickjai Lee:
Sequential pattern mining of geo-tagged photos with an arbitrary regions-of-interest detection method. Expert Syst. Appl. 41(7): 3514-3526 (2014) - [c14]Guochen Cai, Chihiro Hio, Luke Bermingham, Kyungmi Lee, Ickjai Lee:
Mining Frequent Trajectory Patterns and Regions-of-Interest from Flickr Photos. HICSS 2014: 1454-1463 - [c13]Ye Wang, Kyungmi Lee, Ickjai Lee:
Visual Analytics of Topological Higher Order Information for Emergency Management Based on Tourism Trajectory Datasets. ICCS 2014: 683-691 - [c12]Luke Bermingham, Kyungmi Lee, Ickjai Lee:
Spatio-Temporal Trajectory Region-of-Interest Mining Using Delaunay Triangulation. ICDM Workshops 2014: 1-8 - [c11]Ye Wang, Kyungmi Lee, Ickjai Lee:
Directional Higher Order Information for Spatio-Temporal Trajectory Dataset. ICDM Workshops 2014: 35-42 - 2013
- [c10]Chihiro Hio, Luke Bermingham, Guochen Cai, Kyungmi Lee, Ickjai Lee:
A Hybrid Grid-based Method for Mining Arbitrary Regions-of-Interest from Trajectories. MLSDA@AUS-AI 2013: 5 - [c9]Ickjai Lee, Guochen Cai, Kyungmi Lee:
Mining Points-of-Interest Association Rules from Geo-tagged Photos. HICSS 2013: 1580-1588 - [c8]Ickjai Lee, Guochen Cai, Kyungmi Lee:
Points-of-Interest Mining from People's Photo-Taking Behavior. HICSS 2013: 3129-3136 - 2012
- [j8]Ickjai Lee, Yang Qu, Kyungmi Lee:
Mining qualitative patterns in spatial cluster analysis. Expert Syst. Appl. 39(2): 1753-1762 (2012) - [j7]Ickjai Lee, Christopher Torpelund-Bruin, Kyungmi Lee:
Map segmentation for geospatial data mining through generalized higher-order Voronoi diagrams with sequential scan algorithms. Expert Syst. Appl. 39(12): 11135-11148 (2012) - 2011
- [j6]Ickjai Lee, Kyungmi Lee, Christopher Torpelund-Bruin:
Raster voronoi tessellation and its application to emergency modeling. Geo spatial Inf. Sci. 14(4): 235-245 (2011) - 2010
- [j5]Kyungmi Lee:
Exploration on Feature Extraction Schemes and Classifiers for Shaft Testing System. J. Comput. 5(5): 679-686 (2010) - [p1]Ickjai Lee, Reece Pershouse, Peter Phillips, Kyungmi Lee, Christopher Torpelund-Bruin:
What-If Emergency Response Through Higher Order Voronoi Diagrams. Security Informatics 2010: 77-95
2000 – 2009
- 2009
- [j4]Ickjai Lee, Kyungmi Lee:
An Order-k Voronoi Approach to Geospatial Concept Management within Conceptual Spaces. Appl. Artif. Intell. 23(6): 522-537 (2009) - [j3]Ickjai Lee, Kyungmi Lee, Christopher Torpelund-Bruin:
Voronoi Image Segmentation and Its Applications to Geoinformatics. J. Comput. 4(11): 1101-1108 (2009) - [j2]Ickjai Lee, Kyungmi Lee:
A generic triangle-based data structure of the complete set of higher order Voronoi diagrams for emergency management. Comput. Environ. Urban Syst. 33(2): 90-99 (2009) - [c7]Yang Qu, Kyungmi Lee, Ickjai Lee:
Qualitative Cluster Reasoning Framework for Decision Making. NCM 2009: 1321-1326 - 2007
- [j1]Kyungmi Lee, Vladimir Estivill-Castro:
Feature extraction and gating techniques for ultrasonic shaft signal classification. Appl. Soft Comput. 7(1): 156-165 (2007) - [c6]Ickjai Lee, Kyungmi Lee:
Higher Order Voronoi Diagrams for Concept Boundaries and Tessellations. ACIS-ICIS 2007: 513-518 - [c5]Ickjai Lee, Reece Pershouse, Kyungmi Lee:
Geospatial Cluster Tessellation Through the Complete Order- k Voronoi Diagrams. COSIT 2007: 321-336 - 2004
- [c4]Kyungmi Lee, Vladimir Estivill-Castro:
A Hybrid Classification Approach to Ultrasonic Shaft Signals. Australian Conference on Artificial Intelligence 2004: 284-295 - [c3]Kyungmi Lee, Vladimir Estivill-Castro:
Classification Ensembles for Shaft Test Data: Empirical Evaluation. HIS 2004: 304-309 - [c2]Kyungmi Lee, Vladimir Estivill-Castro:
Support Vector Machine Classification of Ultrasonic Shaft Inspection Data Using Discrete Wavelet Transform. IC-AI 2004: 848-854 - 2003
- [c1]Kyungmi Lee, Vladimir Estivill-Castro:
Feature Extraction Techniques for Ultrasonic Shaft Signal Classification. HIS 2003: 479-488
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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