Qizhou Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

Top Topics

Anomaly Detection

Top Venues

Eng. Appl. Artif. Intell.

Publications

Qizhou Wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama
Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning. CoRR (2024)
Ning Li, Yahui Wu, Haiwang Ye, Liguan Wang, Qizhou Wang, Mingtao Jia
Scheduling optimization of underground mine trackless transportation based on improved estimation of distribution algorithm. Expert Syst. Appl. 245 (2024)
Qizhou Wang, Yong Lin, Yongqiang Chen, Ludwig Schmidt, Bo Han, Tong Zhang
Do CLIPs Always Generalize Better than ImageNet Models? CoRR (2024)
Ning Li, Ding Liu, Liguan Wang, Haiwang Ye, Qizhou Wang, Dairong Yan, Shugang Zhao
Combination prediction of underground mine rock drilling time based on seasonal and trend decomposition using Loess. Eng. Appl. Artif. Intell. 133 (2024)
Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
Learning to Augment Distributions for Out-of-distribution Detection. NeurIPS (2023)
Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources. CoRR (2023)
Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources. NeurIPS (2023)
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
Out-of-distribution Detection with Implicit Outlier Transformation. ICLR (2023)
Maksim Makarenko, Qizhou Wang, Arturo Burguete-Lopez, Silvio Giancola, Bernard Ghanem, Luca Passone, Andrea Fratalocchi
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s. CoRR (2023)
Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
Learning to Augment Distributions for Out-of-Distribution Detection. CoRR (2023)
Songming Zhang, Yuxiao Luo, Qizhou Wang, Haoang Chi, Weikai Li, Bo Han, Jinyan Li
Are All Unseen Data Out-of-Distribution? CoRR (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI (2023)
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
Out-of-distribution Detection with Implicit Outlier Transformation. CoRR (2023)
Ning Li, Yahui Wu, Qizhou Wang, Haiwang Ye, Liguan Wang, Mingtao Jia, Shugang Zhao
Underground mine truck travel time prediction based on stacking integrated learning. Eng. Appl. Artif. Intell. 120 (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR (2023)
Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi
Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders. CVPR (2022)
Meiyan Shu, Qizhou Wang, Shuaipeng Fei, Xiaohong Yang, Zhu Jinyu, Meng Lei, Baoguo Li, Yuntao Ma
Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images. Comput. Electron. Agric. 197 (2022)
Chenghao Sun, Yonggang Zhang, Chaoqun Wan, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian
Towards Lightweight Black-Box Attack Against Deep Neural Networks. NeurIPS (2022)
Chen Gong, Qizhou Wang, Tongliang Liu, Bo Han, Jane You, Jian Yang, Dacheng Tao
Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han
Watermarking for Out-of-distribution Detection. CoRR (2022)
Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han
Watermarking for Out-of-distribution Detection. NeurIPS (2022)
Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi
Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders. CoRR (2022)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR (2022)
Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. PAKDD (2) (2022)
Chenghao Sun, Yonggang Zhang, Chaoqun Wan, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian
Towards Lightweight Black-Box Attacks against Deep Neural Networks. CoRR (2022)
Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
Probabilistic Margins for Instance Reweighting in Adversarial Training. CoRR (2021)
Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
Learning with Group Noise. CoRR (2021)
Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle
A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM (2021)
Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. AAAI (2021)
Qizhou Wang, Maksim Makarenko
SDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Network. CoRR (2021)
Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong
Fraud Detection under Multi-Sourced Extremely Noisy Annotations. CIKM (2021)
Maksim Makarenko, Qizhou Wang, Arturo Burguete-Lopez, Fedor Getman, Andrea Fratalocchi
Robust and Scalable Flat-Optics on Flexible Substrates via Evolutionary Neural Networks. Adv. Intell. Syst. 3 (11) (2021)
Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. CoRR (2021)
Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
Learning with Group Noise. AAAI (2021)
Maksim Makarenko, Qizhou Wang, Arturo Burguete-Lopez, Fedor Getman, Andrea Fratalocchi
Robust and Scalable Flat-Optics on Flexible Substrates via Evolutionary Neural Networks. Adv. Intell. Syst. 3 (11) (2021)
Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
Probabilistic Margins for Instance Reweighting in Adversarial Training. NeurIPS (2021)
Jinwei Zhao, Qizhou Wang, Fuqiang Zhang, Wanli Qiu, Yufei Wang, Yu Liu, Guo Xie, Weigang Ma, Bin Wang, Xinhong Hei
A game method for improving the interpretability of convolution neural network. CoRR (2019)
Jinwei Zhao, Qizhou Wang, Yufei Wang, Xinhong Hei, Yu Liu
How far from automatically interpreting deep learning. CoRR (2018)
Jinwei Zhao, Qizhou Wang, Yufei Wang, Xinhong Hei, Yu Liu, Zhenghao Shi
How to improve the interpretability of kernel learning. CoRR (2018)