Qizhou Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | HierCon: Hierarchical Contrastive Attention for Audio Deepfake Detection. | Zhili Nicholas Liang, Soyeon Caren Han, Qizhou Wang, Christopher Leckie |
| 2025 | ICLR | Open-Set Graph Anomaly Detection via Normal Structure Regularisation. | Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie |
| 2025 | ICLR | Towards Effective Evaluations and Comparisons for LLM Unlearning Methods. | Qizhou Wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama |
| 2025 | ICLR | Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond. | Qizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Q. Weinberger |
| 2025 | ICML | GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs. | Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han |
| 2025 | ICML | Adaptive Localization of Knowledge Negation for Continual LLM Unlearning. | Abudukelimu Wuerkaixi, Qizhou Wang, Sen Cui, Wutong Xu, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang |
| 2025 | ICML | Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning. | Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han |
| 2024 | ICONIP | Temporal-Contextual Event Learning for Pedestrian Crossing Intent Prediction. | Hongbin Liang, Hezhe Qiao, Wei Huang, Qizhou Wang, Mingsheng Shang, Lin Chen |
| 2023 | AAAI | Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. | Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie |
| 2023 | ICLR | Out-of-distribution Detection with Implicit Outlier Transformation. | Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han |
| 2022 | CVPR | Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders. | Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi |
| 2022 | PAKDD | ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. | Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie |
| 2021 | AAAI | Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. | Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong |
| 2021 | AAAI | Learning with Group Noise. | Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han |
| 2021 | CIKM | Fraud Detection under Multi-Sourced Extremely Noisy Annotations. | Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong |
| 2021 | SDM | A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. | Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle |