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2020 – today
- 2024
[c15]Yefan Tao, Luyang Kong, Andrey Kan, Laurent Callot:
Textual Dataset Distillation via Language Model Embedding. EMNLP (Findings) 2024: 12557-12569- [i10]Jingchao Ni, Gauthier Guinet, Peihong Jiang, Laurent Callot, Andrey Kan:
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series. CoRR abs/2401.10338 (2024) - 2023
- [c14]Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan:
Unsupervised Model Selection for Time Series Anomaly Detection. ICLR 2023 - 2022
- [c13]David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar:
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. MSR 2022: 596-607 - [i9]Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot:
Online Time Series Anomaly Detection with State Space Gaussian Processes. CoRR abs/2201.06763 (2022) - [i8]David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar:
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. CoRR abs/2203.05181 (2022) - [i7]Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan:
Unsupervised Model Selection for Time-series Anomaly Detection. CoRR abs/2210.01078 (2022) - 2021
- [j4]Hochan Cheon
, Andrey Kan, Giulio Prevedello, Simone C. Oostindie, Simon J. Dovedi, Edwin D. Hawkins, Julia M. Marchingo, Susanne Heinzel, Ken R. Duffy, Philip D. Hodgkin:
Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance. Frontiers Bioinform. 1 (2021) - [c12]Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor:
DiffXtract: Joint Discriminative Product Attribute-Value Extraction. ICBK 2021: 271-280 - [c11]Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang:
EX3: Explainable Attribute-aware Item-set Recommendations. RecSys 2021: 484-494 - 2020
- [c10]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. ICDM 2020: 1208-1213 - [c9]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. KDD 2020: 503-512 - [c8]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c7]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [i6]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i5]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR abs/2006.12001 (2020) - [i4]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i3]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. CoRR abs/2011.05928 (2020)
2010 – 2019
- 2019
- [c6]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD 2019: 596-606 - [i2]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR abs/1905.08865 (2019) - 2016
- [c5]Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao:
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) 2016: 162-178 - 2015
- [j3]Andrey Kan, John Markham, Rajib Chakravorty, James Bailey, Christopher Leckie:
Ranking cell tracking systems without manual validation. Pattern Recognit. Lett. 53: 38-43 (2015) - 2014
- [c4]Liyan Liu, Andrey Kan, Jie H. S. Zhou, John F. Markham, Philip D. Hodgkin, Christopher Leckie:
Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy. ICDM Workshops 2014: 968-975 - 2013
- [j2]Andrey Kan, Christopher Leckie, James Bailey, John Markham, Rajib Chakravorty:
Measures for ranking cell trackers without manual validation. Pattern Recognit. 46(11): 2849-2859 (2013) - [j1]Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A time decoupling approach for studying forum dynamics. World Wide Web 16(5-6): 595-620 (2013) - [c3]Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM 2013: 811-816 - 2012
- [b1]Andrey Kan:
Automated analysis of time lapse microscopy images. University of Melbourne, Australia, 2012 - [c2]Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao:
On compressing weighted time-evolving graphs. CIKM 2012: 2319-2322 - [i1]Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A Time Decoupling Approach for Studying Forum Dynamics. CoRR abs/1201.2277 (2012)
2000 – 2009
- 2009
- [c1]Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie:
A Query Based Approach for Mining Evolving Graphs. AusDM 2009: 139-150
Coauthor Index
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