Zitai Wang

Orcid: 0000-0003-4156-6417

According to our database1, Zitai Wang authored at least 18 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment.
CoRR, May, 2025

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning.
CoRR, May, 2025

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence.
CoRR, May, 2025

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification.
CoRR, May, 2025

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

EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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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