Zitai Wang

According to our database, Zitai Wang authored at least 24 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Bridge-Garden Dilemma in LLM Distillation: Why Mixing Hard and Soft Labels Works.

Guanghui Wang, Kaiwen Lv Kacuila, Zhiyong Yang, Zitai Wang, Jin-Wen Wu, Longtao Huang, Qianqian Xu, Qingming Huang

CoRR, May, 2026

DirMixE: Harnessing Test Agnostic Long-Tail Recognition With Hierarchical Label Vartiations.

Zhiyong Yang, Qianqian Xu, Sicong Li, Zitai Wang, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

Making Training-Free Diffusion Segmentors Scale with the Generative Power.

Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Longtao Huang, Qingming Huang

CoRR, March, 2026

Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs.

Zhikang Xu, Qianqian Xu, Zitai Wang, Cong Hua, Sicong Li, Zhiyong Yang, Qingming Huang

CoRR, March, 2026

A Unified Perspective for Loss-Oriented Imbalanced Learning via Localization.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Zhikang Xu, Linchao Zhang, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation.

Difu Feng, Qianqian Xu, Zitai Wang, Cong Hua, Zhiyong Yang, Qingming Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment.

Jiwei Tang, Zhicheng Zhang, Shunlong Wu, Jingheng Ye, Lichen Bai, Zitai Wang, Tingwei Lu, Jiaqi Chen, Lin Hai, Hai-Tao Zheng, Hong-Gee Kim

CoRR, May, 2025

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang

Int. J. Comput. Vis., January, 2025

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification.

Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning.

Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features.

Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques.

Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection.

Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang

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.

Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.

Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Optimizing Partial Area Under the Top-k Curve: Theory and Practice.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

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.

Yuchen Sun, Qianqian Xu, Zitai Wang, Qingming Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

OpenAUC: Towards AUC-Oriented Open-Set Recognition.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Confederated Learning: Going Beyond Centralization.

Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang

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.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019

Adversarial Preference Learning with Pairwise Comparisons.

Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019