Zitai Wang - RankMe

38 papers A* 16Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Perspective for Loss-Oriented Imbalanced Learning via Localization. IEEE Trans. Pattern Anal. Mach. Intell. Zitai Wang, Qianqian Xu, Zhiyong Yang, Zhikang Xu, Linchao Zhang, Xiaochun Cao, Qingming Huang
2026	J	`jnl`	DirMixE: Harnessing Test Agnostic Long-Tail Recognition With Hierarchical Label Vartiations. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyong Yang, Qianqian Xu, Sicong Li, Zitai Wang, Xiaochun Cao, Qingming Huang
2026	J	`jnl`	Making Training-Free Diffusion Segmentors Scale with the Generative Power. CoRR Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Longtao Huang, Qingming Huang
2026	J	`jnl`	Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs. CoRR Zhikang Xu, Qianqian Xu, Zitai Wang, Cong Hua, Sicong Li, Zhiyong Yang, Qingming Huang
2026	A*	`conf`	Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation. AAAI Difu Feng, Qianqian Xu, Zitai Wang, Cong Hua, Zhiyong Yang, Qingming Huang
2025	A*	`conf`	ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence. ICML Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang
2025	J	`jnl`	ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence. CoRR Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang
2025	A*	`conf`	EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. AAAI Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He
2025	A*	`conf`	Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. ICML Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang
2025	J	`jnl`	Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. CoRR Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang
2025	J	`jnl`	GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment. CoRR Jiwei Tang, Zhicheng Zhang, Shunlong Wu, Jingheng Ye, Lichen Bai, Zitai Wang, Tingwei Lu, Jiaqi Chen, Lin Hai, Hai-Tao Zheng, Hong-Gee Kim
2025	A*	`conf`	OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. ICML Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang
2025	J	`jnl`	OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. CoRR Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang
2025	J	`jnl`	Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation. CoRR Difu Feng, Qianqian Xu, Zitai Wang, Cong Hua, Zhiyong Yang, Qingming Huang
2025	J	`jnl`	Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification. Int. J. Comput. Vis. Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang
2024	A*	`conf`	ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. AAAI Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang
2024	J	`jnl`	EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. CoRR Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He
2024	A*	`conf`	HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. ACM Multimedia Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang
2024	J	`jnl`	HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. CoRR Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang
2024	A*	`conf`	Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. ICML Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. CoRR Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang
2024	A*	`conf`	Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features. NeurIPS Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features. CoRR Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang
2024	A*	`conf`	Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. NeurIPS Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. CoRR Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2024	J	`jnl`	Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification. CoRR Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang
2023	A*	`conf`	A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. NeurIPS Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. CoRR Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2023	J	`jnl`	ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. CoRR Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang
2023	J	`jnl`	Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Trans. Pattern Anal. Mach. Intell. Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2023	A*	`conf`	When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. ACM Multimedia Yuchen Sun, Qianqian Xu, Zitai Wang, Qingming Huang
2023	J	`jnl`	When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. CoRR Yuchen Sun, Qianqian Xu, Zitai Wang, Qingming Huang
2022	A*	`conf`	Confederated Learning: Going Beyond Centralization. ACM Multimedia Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang
2022	A*	`conf`	OpenAUC: Towards AUC-Oriented Open-Set Recognition. NeurIPS Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	OpenAUC: Towards AUC-Oriented Open-Set Recognition. CoRR Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2022	J	`jnl`	Optimizing Partial Area Under the Top-k Curve: Theory and Practice. CoRR Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. ACM Multimedia Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	Adversarial Preference Learning with Pairwise Comparisons. ACM Multimedia Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang