Zitai Wang

Orcid: 0000-0003-4156-6417

According to our database1, Zitai Wang authored at least 14 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

2019
2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification.
Int. J. Comput. Vis., January, 2025

2024
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion.
CoRR, 2024

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Optimizing Partial Area Under the Top-k Curve: Theory and Practice.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
OpenAUC: Towards AUC-Oriented Open-Set Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Confederated Learning: Going Beyond Centralization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019
Adversarial Preference Learning with Pairwise Comparisons.
Proceedings of the 27th ACM International Conference on Multimedia, 2019


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