Xiaofeng Cao - RankMe

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation. ACM Comput. Surv. Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Sheng-Jun Huang, Min-Ling Zhang, Ivor W. Tsang, Yew-Soon Ong, James T. Kwok, Heng Tao Shen
2026	A*	`conf`	Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking. AAAI Bohao Qu, Xiaofeng Cao, Bing Li, Menglin Zhang, Tuan-Anh Vu, Di Lin, Qing Guo
2026	J	`jnl`	FOCUS: Frequency-Optimized Conditioning of diffUSion models for mitigating catastrophic forgetting during test-time adaptation. Mach. Vis. Appl. Gabriel Tjio, Jie Zhang, XuLei Yang, Yun Xing, Nhat Chung, Xiaofeng Cao, Ivor W. Tsang, Chee Keong Kwoh, Qing Guo
2026	A*	`conf`	Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning. AAAI Disen Hu, Xun Jiang, Xiaofeng Cao, Zheng Wang, Jingkuan Song, Heng Tao Shen, Xing Xu
2026	J	`jnl`	PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning. CoRR Jiaying Wu, Can Gao, Jinglu Hu, Hui Li, Xiaofeng Cao, Jingcai Guo
2026	J	`jnl`	Positional Relation Contextual Mixing for Imbalanced Classification. Mach. Learn. Yucheng Jiang, Jiateng Li, Yuan Tian, Jiangchao Yao, Xin Yu, Wei Ye, Xiaofeng Cao
2026	J	`jnl`	Revealing Combinatorial Reasoning of GNNs via Graph Concept Bottleneck Layer. CoRR Yue Niu, Zhaokai Sun, Jiayi Yang, Xiaofeng Cao, Rui Fan, Xin Sun, Hanli Wang, Wei Ye
2026	A*	`conf`	TR-DQ: Time-Rotation Diffusion Quantization. AAAI Yihua Shao, Deyang Lin, Minxi Yan, Siyu Chen, Fanhu Zeng, Minwen Liao, Ao Ma, Ziyang Yan, Haozhe Wang, Yan Wang, Zhi Chen, Xiaofeng Cao, Haotong Qin, Hao Tang, Jingcai Guo
2026	J	`jnl`	Towards One-for-All Anomaly Detection for Tabular Data. CoRR Shiyuan Li, Yixin Liu, Yu Zheng, Xiaofeng Cao, Shirui Pan, Heng Tao Shen
2026	J	`jnl`	Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Xing Chen, Yewen Li, Xiaofeng Cao, Hechang Chen, Hengshuai Yao, Bo An, Yi Chang
2026	J	`jnl`	ViDR-GNN: Vision Implicit Discriminative Reorganization Graph Neural Networks. IEEE Trans. Multim. Zeyang Zhang, Xiaofeng Cao, Xiang Zhang, Li Peng, Lijia Ma, Jielong Yang
2025	J	`jnl`	An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity. CoRR Yuxiao Lee, Xiaofeng Cao, Yen-Wei Chen, Jiangchao Yao, Jingkuan Song, Heng Tao Shen
2025	A*	`conf`	Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction. ICML Yadong Sun, Xiaofeng Cao, Ivor W. Tsang, Heng Tao Shen
2025	J	`jnl`	Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation. CoRR Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Shengjun Huang, Minling Zhang, Ivor W. Tsang, Yew Soon Ong, James T. Kwok, Heng Tao Shen
2025	A*	`conf`	Concept Matching with Agent for Out-of-Distribution Detection. AAAI Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang
2025	J	`jnl`	Distributional Shortest-Path Graph Kernels. IEEE Trans. Knowl. Data Eng. Wei Ye, Wengang Guo, Shuhao Tang, Hao Tian, Xin Sun, Xiaofeng Cao, Heng Tao Shen
2025	J	`jnl`	FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation. CoRR Gabriel Tjio, Jie Zhang, XuLei Yang, Yun Xing, Nhat Chung, Xiaofeng Cao, Ivor W. Tsang, Chee Keong Kwoh, Qing Guo
2025	J	`jnl`	Lighting is Unreliable: Adversarial Video Relighting Against rPPG Heart Rate Measurement. IEEE Trans. Inf. Forensics Secur. Menglin Zhang, Xiaoxin Guo, Xiaofeng Cao, Shuifa Sun, Huazhu Fu, Qing Guo
2025	J	`jnl`	Long-tailed Recognition with Model Rebalancing. CoRR Jiaan Luo, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao
2025	A	`conf`	PhysLight: Accurate rPPG Heart Rate Measurement with Adaptive Video Relighting. ICME Menglin Zhang, Xiaoxin Guo, Bohao Qu, Xiaofeng Cao, Shuifa Sun, Qing Guo
2025	J	`jnl`	Preference-driven Knowledge Distillation for Few-shot Node Classification. CoRR Xing Wei, Chunchun Chen, Rui Fan, Xiaofeng Cao, Sourav Medya, Wei Ye
2025	J	`jnl`	Time-variant Image Inpainting via Interactive Distribution Transition Estimation. CoRR Yun Xing, Qing Guo, Xiaohong Li, Yihao Huang, Xiaofeng Cao, Di Lin, Ivor W. Tsang, Lei Ma
2025	J	`jnl`	Towards a structured analysis of domain perturbations in Tubular Geometry. Pattern Recognit. Yang Tao, Xiaofeng Cao, Yi Chang
2025	A*	`conf`	TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. IJCAI Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo
2024	A	`conf`	A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. ECAI Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
2024	J	`jnl`	A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. CoRR Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
2024	J	`jnl`	Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. Inf. Sci. Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang
2024	A*	`conf`	Deep Hierarchical Graph Alignment Kernels. IJCAI Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye
2024	J	`jnl`	Deep Hierarchical Graph Alignment Kernels. CoRR Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye
2024	J	`jnl`	Distribution Matching for Machine Teaching. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Cao, Ivor W. Tsang
2024	J	`jnl`	Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space. IEEE Trans. Pattern Anal. Mach. Intell. Bohao Qu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang, Yew-Soon Ong
2024	A*	`conf`	Dual Expert Distillation Network for Generalized Zero-Shot Learning. IJCAI Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024	J	`jnl`	Dual Expert Distillation Network for Generalized Zero-Shot Learning. CoRR Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024	J	`jnl`	Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement. IEEE Trans. Knowl. Data Eng. Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
2024	A*	`conf`	Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures. NeurIPS Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo
2024	J	`jnl`	Hyperbolic Uncertainty Aware Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. Bike Chen, Wei Peng, Xiaofeng Cao, Juha Röning
2024	A*	`conf`	IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. ICLR Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
2024	J	`jnl`	Improving Augmentation Consistency for Graph Contrastive Learning. Pattern Recognit. Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan
2024	J	`jnl`	Mentored Learning: Improving Generalization and Convergence of Student Learner. J. Mach. Learn. Res. Xiaofeng Cao, Yaming Guo, Heng Tao Shen, Ivor W. Tsang, James T. Kwok
2024	A*	`conf`	MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences. ACM Multimedia Yun Xing, Qing Guo, Xiaofeng Cao, Ivor W. Tsang, Lei Ma
2024	J	`jnl`	Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang
2024	A*	`conf`	Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization. NeurIPS Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang
2024	J	`jnl`	Transductive Reward Inference on Graph. CoRR Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
2024	J	`jnl`	Transductive Reward Inference on Graph. IEEE Trans. Knowl. Data Eng. Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
2024	J	`jnl`	TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. CoRR Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Song Guo
2023	J	`jnl`	AdaNS: Adaptive negative sampling for unsupervised graph representation learning. Pattern Recognit. Yu Wang, Liang Hu, Wanfu Gao, Xiaofeng Cao, Yi Chang
2023	J	`jnl`	Aggregation Weighting of Federated Learning via Generalization Bound Estimation. CoRR Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang, James T. Kwok
2023	J	`jnl`	Data-Efficient Learning via Minimizing Hyperspherical Energy. IEEE Trans. Pattern Anal. Mach. Intell. Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
2023	J	`jnl`	IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. CoRR Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
2023	J	`jnl`	Improving generalization of double low-rank representation using Schatten- Pattern Recognit. Jiaoyan Zhao, Yongsheng Liang, Shuangyan Yi, Qiangqiang Shen, Xiaofeng Cao
2023	A*	`conf`	Nonparametric Iterative Machine Teaching. ICML Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
2023	J	`jnl`	Nonparametric Iterative Machine Teaching. CoRR Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
2023	A*	`conf`	Nonparametric Teaching for Multiple Learners. NeurIPS Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
2023	J	`jnl`	Nonparametric Teaching for Multiple Learners. CoRR Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
2023	A*	`conf`	Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships. ICML Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang
2023	J	`jnl`	Taming over-smoothing representation on heterophilic graphs. Inf. Sci. Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang
2023	J	`jnl`	Towards fidelity of graph data augmentation via equivariance. Knowl. Based Syst. Bai Zhang, Yixing Gao, Feng Ji, Linbo Xie, Xiaofeng Cao, Yixiang Shan, Jielong Yang
2022	J	`jnl`	A Survey of Learning on Small Data. CoRR Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang
2022	J	`jnl`	Cold-Start Active Sampling Via γ-Tube. IEEE Trans. Cybern. Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu
2022	J	`jnl`	Data-Efficient Learning via Minimizing Hyperspherical Energy. CoRR Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
2022	J	`jnl`	Distribution Disagreement via Lorentzian Focal Representation. IEEE Trans. Pattern Anal. Mach. Intell. Xiaofeng Cao, Ivor W. Tsang
2022	J	`jnl`	One-shot Machine Teaching: Cost Very Few Examples to Converge Faster. CoRR Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
2022	J	`jnl`	Robust active representation via ℓ2, p-norm constraints. Knowl. Based Syst. Jiaoyan Zhao, Shuangyan Yi, Yongsheng Liang, Wei Liu, Xiaofeng Cao
2022	J	`jnl`	Shattering Distribution for Active Learning. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Cao, Ivor W. Tsang
2022	J	`jnl`	When an Active Learner Meets a Black-box Teacher. CoRR Xiaofeng Cao, Yaming Guo, Tieru Wu, Ivor W. Tsang
2021	J	`jnl`	Bayesian Active Learning by Disagreements: A Geometric Perspective. CoRR Xiaofeng Cao, Ivor W. Tsang
2021	J	`jnl`	Distribution Matching for Machine Teaching. CoRR Xiaofeng Cao, Ivor W. Tsang
2021	—	`—`	Distribution-based Active Learning Xiaofeng Cao
2021	J	`jnl`	High-dimensional cluster boundary detection using directed Markov tree. Pattern Anal. Appl. Xiaofeng Cao
2020	J	`jnl`	A divide-and-conquer approach to geometric sampling for active learning. Expert Syst. Appl. Xiaofeng Cao
2020	J	`jnl`	A structured perspective of volumes on active learning. Neurocomputing Xiaofeng Cao
2019	J	`jnl`	BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data. Pattern Anal. Appl. Xiaofeng Cao, Baozhi Qiu, Guandong Xu
2019	A*	`conf`	Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. IJCAI Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu
2019	J	`jnl`	Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. CoRR Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu
2019	J	`jnl`	Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Cao, Baozhi Qiu, Xiangli Li, Zenglin Shi, Guandong Xu, Jianliang Xu

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