Cao, Xiaofeng

18 publications

ICML 2025 Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction Yadong Sun, Xiaofeng Cao, Ivor Tsang, Heng Tao Shen

AAAI 2025 Concept Matching with Agent for Out-of-Distribution Detection Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang

NeurIPS 2025 Long-Tailed Recognition with Model Rebalancing Jiaan Luo, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao

NeurIPS 2025 Preference-Driven Knowledge Distillation for Few-Shot Node Classification Xing Wei, Chunchun Chen, Rui Fan, Xiaofeng Cao, Sourav Medya, Wei Ye

TMLR 2025 Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale Yangyang Shu, Yuhang Liu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu

IJCAI 2025 TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo

IJCAI 2024 Deep Hierarchical Graph Alignment Kernels Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye

IJCAI 2024 Dual Expert Distillation Network for Generalized Zero-Shot Learning Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao

NeurIPS 2024 Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo

ICLR 2024 IRAD: Implicit Representation-Driven Image Resampling Against Adversarial Attacks Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor Tsang, Yang Liu, Qing Guo

JMLR 2024 Mentored Learning: Improving Generalization and Convergence of Student Learner Xiaofeng Cao, Yaming Guo, Heng Tao Shen, Ivor W. Tsang, James T. Kwok

ICML 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei

NeurIPS 2024 Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang

ECML-PKDD 2023 DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction Cong Wang, Xiaofeng Cao, Lanzhe Guo, Zenglin Shi

ICML 2023 Nonparametric Iterative Machine Teaching Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok

NeurIPS 2023 Nonparametric Teaching for Multiple Learners Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok

ICML 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang

IJCAI 2019 Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu