Qizhou Wang

According to our database, Qizhou Wang authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

AudioMosaic: Contrastive Masked Audio Representation Learning.

Hanxun Huang, Qizhou Wang, Xingjun Ma, Cihang Xie, Christopher Leckie, Sarah M. Erfani

CoRR, May, 2026

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation.

Qizhou Wang, Guansong Pang, Christopher Leckie

CoRR, April, 2026

HierCon: Hierarchical Contrastive Attention for Audio Deepfake Detection.

Zhili Nicholas Liang, Soyeon Caren Han, Qizhou Wang, Christopher Leckie

Proceedings of the ACM Web Conference 2026, 2026

2025

CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection.

Zahra Zamanzadeh Darban, Qizhou Wang, Charu C. Aggarwal, Geoffrey I. Webb, Ehsan Abbasnejad, Mahsa Salehi

CoRR, November, 2025

AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds.

Qizhou Wang, Hanxun Huang, Guansong Pang, Sarah M. Erfani, Christopher Leckie

CoRR, September, 2025

GenIAS: Generator for Instantiating Anomalies in time Series.

Zahra Zamanzadeh Darban, Qizhou Wang, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi

CoRR, February, 2025

Open-Set Graph Anomaly Detection via Normal Structure Regularisation.

Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Open-Set Graph Anomaly Detection via Normal Structure Regularisation.

Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie

CoRR, 2023

Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment.

Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection.

Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection.

Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021