A Query Based Approach for Mining Evolving Graphs. - Andrey Kan; Jeffrey Chan; James Bailey 001; Christopher Leckie (AusDM, 2009)

On compressing weighted time-evolving graphs. - Wei Liu 007; Andrey Kan; Jeffrey Chan; James Bailey 001; Christopher Leckie; Jian Pei 001; Kotagiri Ramamohanarao (CIKM, 2012)

Automated analysis of time lapse microscopy images. - Andrey Kan (2012)

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. - Jeffrey Chan; Wei Liu 007; Andrey Kan; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (CIKM, 2013)

Measures for ranking cell trackers without manual validation. - Andrey Kan; Christopher Leckie; James Bailey 001; John Markham; Rajib Chakravorty (Pattern Recognit., 2013)

A time decoupling approach for studying forum dynamics. - Andrey Kan; Jeffrey Chan; Conor Hayes; Bernie Hogan; James Bailey 001; Christopher Leckie (World Wide Web, 2013)

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 (ICDM Workshops, 2014)

Ranking cell tracking systems without manual validation. - Andrey Kan; John Markham; Rajib Chakravorty; James Bailey 001; Christopher Leckie (Pattern Recognit. Lett., 2015)

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. - Lida Rashidi; Andrey Kan; James Bailey 001; Jeffrey Chan; Christopher Leckie; Wei Liu 007; Sutharshan Rajasegarar; Kotagiri Ramamohanarao (ECML/PKDD (2), 2016)

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. - Namyong Park; Andrey Kan; Xin Luna Dong; Tong Zhao 002; Christos Faloutsos (KDD, 2019)

J-Recs: Principled and Scalable Recommendation Justification. - Namyong Park; Andrey Kan; Christos Faloutsos; Xin Luna Dong (ICDM, 2020)

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. - Xin Luna Dong; Xiang He 007; Andrey Kan; Xian Li; Yan Liang 004; Jun Ma 029; Yifan Ethan Xu; Chenwei Zhang; Tong Zhao 002; Gabriel Blanco Saldana; Saurabh Deshpande; Alexandre Michetti Manduca; et al. (KDD, 2020)

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. - Yuning Mao; Tong Zhao 002; Andrey Kan; Chenwei Zhang; Xin Luna Dong; Christos Faloutsos; Jiawei Han 001 (KDD, 2020)

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. - Namyong Park; Andrey Kan; Xin Luna Dong; Tong Zhao 002; Christos Faloutsos (KDD, 2020)

DiffXtract: Joint Discriminative Product Attribute-Value Extraction. - Varun Embar; Andrey Kan; Bunyamin Sisman; Christos Faloutsos; Lise Getoor (ICBK, 2021)

EX3: Explainable Attribute-aware Item-set Recommendations. - Yikun Xian; Tong Zhao 002; Jin Li 003; Jim Chan; Andrey Kan; Jun Ma 029; Xin Luna Dong; Christos Faloutsos; George Karypis; S. Muthukrishnan 001; Yongfeng Zhang (RecSys, 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)

LineVD: Statement-level Vulnerability Detection using Graph Neural Networks. - David Hin; Andrey Kan; Huaming Chen; Muhammad Ali Babar 001 (MSR, 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)

Unsupervised Model Selection for Time Series Anomaly Detection. - Mononito Goswami; Cristian I. Challu; Laurent Callot; Lenon Minorics; Andrey Kan (ICLR, 2023)

Textual Dataset Distillation via Language Model Embedding. - Yefan Tao; Luyang Kong; Andrey Kan; Laurent Callot (EMNLP (Findings), 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)

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)

MUSS: Multilevel Subset Selection for Relevance and Diversity. - Vu Nguyen; Andrey Kan (CoRR, 2025)