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Feng XIA <[log in to unmask]>
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Date:
Fri, 3 Dec 2021 23:31:50 +1100
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Call For Participation

IAAA 2021: International Workshop on Intelligence-Augmented Anomaly
Analytics
https://sites.google.com/view/iaaa2021/
A workshop of ICDM 2021 (The 21st IEEE International Conference on Data
Mining): https://icdm2021.auckland.ac.nz/

Time Zone: New Zealand Daylight Time (NZDT, GMT+13)
Date: Tuesday, December 7, 2021
Time: 14:00 - 20:10
Location: Online/Zoom (login link to be sent via email)

[KEYNOTE TALKS]

Title: Recent Trends in Outlier Mining: Automation and Fairness
Speaker: Professor Leman Akoglu, Carnegie Mellon University

Title: Anomaly Detection in Hostile Environments
Speaker: Professor Christopher Leckie, University of Melbourne

Title: Non-IID outlier detection: Learning abnormal couplings, interactions
and heterogeneities
Speaker: Professor Longbing Cao, University of Technology Sydney

Title: Entropic characterization of anomalies in financial time series
Speaker: Professor Edwin Hancock, University of York

[PROGRAM]

2:00pm-2:10pm  Opening Remarks

2:10pm-2:45pm  Keynote I
Speaker: Professor Leman Akoglu, Carnegie Mellon University
Title: Recent Trends in Outlier Mining: Automation and Fairness

2:45pm-3:20pm  Keynote II
Speaker: Professor Christopher Leckie, University of Melbourne
Title: Anomaly Detection in Hostile Environments

3:20pm-4:30pm  Presentations
Jing Ren, Feng Xia, Yemeng Liu, and Ivan Lee, Deep Video Anomaly Detection:
Opportunities and Challenges
Ken-Yu Lin, Roy Ka-Wei Lee, Wei Gao, and Wen-Chih Peng, Early Prediction of
Hate Speech Propagation
Zhiyue Wu, Hongzuo Xu, Yijie Wang, and Yongjun Wang, Surrogate
Supervision-Based Deep Weakly-Supervised Anomaly Detection
Yiming Li, Da Sun Handason Tam, Siyue Xie, Xiaxin Liu, Qiu Fang Ying, Wing
Cheong Lau, Dah Ming Chiu, and Shou Zhi Chen, Temporal Graph Representation
Learning for Detecting Anomalies in E-payment Systems

4:30pm-5:30pm  Break

5:30pm-6:05pm  Keynote III
Speaker: Professor Longbing Cao, University of Technology Sydney
Title: Non-IID outlier detection: Learning abnormal couplings, interactions
and heterogeneities

6:05pm-6:40pm  Keynote IV
Speaker: Professor Edwin Hancock, University of York
Title: Entropic characterization of anomalies in financial time series

6:40pm-8:05pm  Presentations
Chakkrit Termritthikun, Lin Xu, Yemeng Liu, and Ivan Lee, Neural
Architecture Search and Multi-Objective Evolutionary Algorithms for Anomaly
Detection
Chen Cao, Shihao Li, Shuo Yu, and Zhikui Chen, Fake Reviewer Group
Detection in Online Review Systems
Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, and Feng Xia,
Cross Network Representation Matching with Outliers
Bernat Coma Puig and Josep Carmona, A Human-in-the-Loop Approach based on
Explainability to Improve NTL Detection
Andreas Lohrer, Jan Deller, Maximilian Hünemörder, and Peer Kröger, OAB -
An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised
Anomaly Detection on Image and Tabular Data Sets

8:05pm-8:10pm  Closing

[Attendee Registry]
Attendee Registry (Microsoft Forms): https://forms.office.com/r/WHnW9faJTK

[Organizers]
Feng Xia, Federation University Australia
Leman Akoglu, Carnegie Mellon University
Charu Aggarwal, IBM T. J. Watson Research Center
Huan Liu, Arizona State University

[Contact Info]
Email: [log in to unmask]

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