Andrey Kan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 21

Top Venues

CoRR

KDD

ICBK

MSR

University of Melbourne, Australia (PHD)

Education History

University of Melbourne, Australia

PHD

Publications

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 (2024)
Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan
Unsupervised Model Selection for Time Series Anomaly Detection. ICLR (2023)
David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. CoRR (2022)
David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. MSR (2022)
Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot
Online Time Series Anomaly Detection with State Space Gaussian Processes. CoRR (2022)
Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan
Unsupervised Model Selection for Time-series Anomaly Detection. CoRR (2022)
Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor
DiffXtract: Joint Discriminative Product Attribute-Value Extraction. ICBK (2021)
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)
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)
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)
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)
Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
J-Recs: Principled and Scalable Recommendation Justification. CoRR (2020)
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 (2020)
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)
Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR (2020)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR (2020)
Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
J-Recs: Principled and Scalable Recommendation Justification. ICDM (2020)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR (2019)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD (2019)
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)
Andrey Kan, John Markham, Rajib Chakravorty, James Bailey, Christopher Leckie
Ranking cell tracking systems without manual validation. Pattern Recognit. Lett. 53 (2015)
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)
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) (2013)
Andrey Kan, Christopher Leckie, James Bailey, John Markham, Rajib Chakravorty
Measures for ranking cell trackers without manual validation. Pattern Recognit. 46 (11) (2013)
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)
Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie
A Time Decoupling Approach for Studying Forum Dynamics CoRR (2012)
Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao
On compressing weighted time-evolving graphs. CIKM (2012)
Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie
A Query Based Approach for Mining Evolving Graphs. AusDM (2009)

Andrey Kan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Andrey Kan