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Zitai Wang
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 16
Top Topics
Preference Learning
Multi Label
Pairwise Comparisons
Anomaly Detection
Top Venues
CoRR
ACM Multimedia
NeurIPS
IEEE Trans. Pattern Anal. Mach. Intell.
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Publications
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Junwei He
,
Qianqian Xu
,
Yangbangyan Jiang
,
Zitai Wang
,
Yuchen Sun
,
Qingming Huang
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection.
CoRR
(2024)
Zitai Wang
,
Qianqian Xu
,
Zhiyong Yang
,
Peisong Wen
,
Yuan He
,
Xiaochun Cao
,
Qingming Huang
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification.
CoRR
(2024)
Junwei He
,
Qianqian Xu
,
Yangbangyan Jiang
,
Zitai Wang
,
Qingming Huang
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.
AAAI
(2024)
Zhiyong Yang
,
Qianqian Xu
,
Zitai Wang
,
Sicong Li
,
Boyu Han
,
Shilong Bao
,
Xiaochun Cao
,
Qingming Huang
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition.
CoRR
(2024)
Yuchen Sun
,
Qianqian Xu
,
Zitai Wang
,
Qingming Huang
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning.
ACM Multimedia
(2023)
Zitai Wang
,
Qianqian Xu
,
Zhiyong Yang
,
Yuan He
,
Xiaochun Cao
,
Qingming Huang
Optimizing Partial Area Under the Top-k Curve: Theory and Practice.
IEEE Trans. Pattern Anal. Mach. Intell.
45 (4) (2023)
Zitai Wang
,
Qianqian Xu
,
Zhiyong Yang
,
Yuan He
,
Xiaochun Cao
,
Qingming Huang
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.
CoRR
(2023)
Junwei He
,
Qianqian Xu
,
Yangbangyan Jiang
,
Zitai Wang
,
Qingming Huang
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.
CoRR
(2023)
Zitai Wang
,
Qianqian Xu
,
Zhiyong Yang
,
Yuan He
,
Xiaochun Cao
,
Qingming Huang
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.
NeurIPS
(2023)
Yuchen Sun
,
Qianqian Xu
,
Zitai Wang
,
Qingming Huang
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning.
CoRR
(2023)
Zitai Wang
,
Qianqian Xu
,
Zhiyong Yang
,
Yuan He
,
Xiaochun Cao
,
Qingming Huang
OpenAUC: Towards AUC-Oriented Open-Set Recognition.
CoRR
(2022)
Zitai Wang
,
Qianqian Xu
,
Zhiyong Yang
,
Yuan He
,
Xiaochun Cao
,
Qingming Huang
OpenAUC: Towards AUC-Oriented Open-Set Recognition.
NeurIPS
(2022)
Zitai Wang
,
Qianqian Xu
,
Ke Ma
,
Xiaochun Cao
,
Qingming Huang
Confederated Learning: Going Beyond Centralization.
ACM Multimedia
(2022)
Zitai Wang
,
Qianqian Xu
,
Zhiyong Yang
,
Yuan He
,
Xiaochun Cao
,
Qingming Huang
Optimizing Partial Area Under the Top-k Curve: Theory and Practice.
CoRR
(2022)
Zitai Wang
,
Qianqian Xu
,
Zhiyong Yang
,
Xiaochun Cao
,
Qingming Huang
Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions.
ACM Multimedia
(2021)
Zitai Wang
,
Qianqian Xu
,
Ke Ma
,
Yangbangyan Jiang
,
Xiaochun Cao
,
Qingming Huang
Adversarial Preference Learning with Pairwise Comparisons.
ACM Multimedia
(2019)