Xiaofeng Cao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 24

Top Topics

Top Venues

Pattern Recognit.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. ICLR (2024)
Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. CoRR (2024)
Bi-ke Chen, Wei Peng, Xiaofeng Cao, Juha Röning
Hyperbolic Uncertainty Aware Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
Transductive Reward Inference on Graph. CoRR (2024)
Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. Inf. Sci. 657 (2024)
Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan
Improving Augmentation Consistency for Graph Contrastive Learning. Pattern Recognit. 148 (2024)
Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships. ICML (2023)
Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang
Taming over-smoothing representation on heterophilic graphs. Inf. Sci. 647 (2023)
Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang, James T. Kwok
Aggregation Weighting of Federated Learning via Generalization Bound Estimation. CoRR (2023)
Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
Data-Efficient Learning via Minimizing Hyperspherical Energy. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Teaching for Multiple Learners. CoRR (2023)
Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. CoRR (2023)
Jiaoyan Zhao, Yongsheng Liang, Shuangyan Yi, Qiangqiang Shen, Xiaofeng Cao
norm. Pattern Recognit. 138 (2023)
Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Chang Yi, Ivor W. Tsang, Yew-Soon Ong
Policy Dispersion in Non-Markovian Environment. CoRR (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Iterative Machine Teaching. ICML (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Iterative Machine Teaching. CoRR (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Teaching for Multiple Learners. NeurIPS (2023)
Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu
Cold-Start Active Sampling Via γ-Tube. IEEE Trans. Cybern. 52 (7) (2022)
Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster. CoRR (2022)
Xiaofeng Cao, Yaming Guo, Tieru Wu, Ivor W. Tsang
When an Active Learner Meets a Black-box Teacher. CoRR (2022)
Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
Data-Efficient Learning via Minimizing Hyperspherical Energy. CoRR (2022)
Xiaofeng Cao, Ivor W. Tsang
Distribution Disagreement via Lorentzian Focal Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang
A Survey of Learning on Small Data. CoRR (2022)