Adversarial Preference Learning with Pairwise Comparisons. - Zitai Wang; Qianqian Xu; Ke Ma 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2021)

Confederated Learning: Going Beyond Centralization. - Zitai Wang; Qianqian Xu; Ke Ma 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2022)

OpenAUC: Towards AUC-Oriented Open-Set Recognition. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2022)

When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. - Yuchen Sun; Qianqian Xu; Zitai Wang; Qingming Huang (ACM Multimedia, 2023)

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2023)

Optimizing Partial Area Under the Top-k Curve: Theory and Practice. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. - Junwei He 003; Qianqian Xu; Yangbangyan Jiang; Zitai Wang; Qingming Huang (AAAI, 2024)

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. - Zhiyong Yang 001; Qianqian Xu; Zitai Wang; Sicong Li; Boyu Han; Shilong Bao; Xiaochun Cao; Qingming Huang (ICML, 2024)

HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. - Junwei He 003; Qianqian Xu; Yangbangyan Jiang; Zitai Wang; Yuchen Sun; Qingming Huang (ACM Multimedia, 2024)

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. - Benyuan Meng; Qianqian Xu; Zitai Wang; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (NeurIPS, 2024)

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features. - Benyuan Meng; Qianqian Xu; Zitai Wang; Xiaochun Cao; Qingming Huang (NeurIPS, 2024)

EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. - Yuchen Sun; Qianqian Xu; Zitai Wang; Zhiyong Yang 001; Junwei He 003 (AAAI, 2025)

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification. - Zitai Wang; Qianqian Xu; Zhiyong Yang 001; Peisong Wen; Yuan He 011; Xiaochun Cao; Qingming Huang (Int. J. Comput. Vis., 2025)

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. - Sicong Li; Qianqian Xu; Zhiyong Yang 001; Zitai Wang; Linchao Zhang; Xiaochun Cao; Qingming Huang (CoRR, 2025)

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence. - Guanghui Wang 001; Zhiyong Yang 001; Zitai Wang; Shi Wang; Qianqian Xu; Qingming Huang (CoRR, 2025)

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. - Cong Hua; Qianqian Xu; Zhiyong Yang 001; Zitai Wang; Shilong Bao; Qingming Huang (CoRR, 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 002; Hong-Gee Kim (CoRR, 2025)