Andrey Kan

According to our database, Andrey Kan authored at least 23 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

REDO: Execution-Free Runtime Error Detection for COding Agents.

Shou Li, Andrey Kan, Laurent Callot, Bhavana Bhasker, Muhammad Shihab Rashid, Timothy B. Esler

CoRR, 2024

MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series.

Jingchao Ni, Gauthier Guinet, Peihong Jiang, Laurent Callot, Andrey Kan

CoRR, 2024

Textual Dataset Distillation via Language Model Embedding.

Yefan Tao, Luyang Kong, Andrey Kan, Laurent Callot

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Unsupervised Model Selection for Time Series Anomaly Detection.

Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Online Time Series Anomaly Detection with State Space Gaussian Processes.

Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot

CoRR, 2022

LineVD: Statement-level Vulnerability Detection using Graph Neural Networks.

David Hin, Andrey Kan, Huaming Chen, Muhammad Ali Babar

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance.

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

Frontiers Bioinform., 2021

EX3: Explainable Attribute-aware Item-set Recommendations.

Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

DiffXtract: Joint Discriminative Product Attribute-Value Extraction.

Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals.

Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision.

Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

J-Recs: Principled and Scalable Recommendation Justification.

Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks.

Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2016

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.

Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Ranking cell tracking systems without manual validation.

Andrey Kan, John Markham, Rajib Chakravorty, James Bailey, Christopher Leckie

Pattern Recognit. Lett., 2015

2014

Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy.

Liyan Liu, Andrey Kan, Jie H. S. Zhou, John F. Markham, Philip D. Hodgkin, Christopher Leckie

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

A time decoupling approach for studying forum dynamics.

Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie

World Wide Web, 2013

Measures for ranking cell trackers without manual validation.

Andrey Kan, Christopher Leckie, James Bailey, John Markham, Rajib Chakravorty

Pattern Recognit., 2013

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation.

Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Automated analysis of time lapse microscopy images.

Andrey Kan

PhD thesis, 2012

On compressing weighted time-evolving graphs.

Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2009

A Query Based Approach for Mining Evolving Graphs.

Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie

Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009