Xiaofeng Cao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning. | Disen Hu, Xun Jiang, Xiaofeng Cao, Zheng Wang, Jingkuan Song, Heng Tao Shen, Xing Xu |
| 2026 | AAAI | Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking. | Bohao Qu, Xiaofeng Cao, Bing Li, Menglin Zhang, Tuan-Anh Vu, Di Lin, Qing Guo |
| 2026 | AAAI | TR-DQ: Time-Rotation Diffusion Quantization. | 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 |
| 2025 | AAAI | Concept Matching with Agent for Out-of-Distribution Detection. | Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang |
| 2025 | ICML | Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction. | Yadong Sun, Xiaofeng Cao, Ivor W. Tsang, Heng Tao Shen |
| 2025 | IJCAI | 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 |
| 2024 | ECAI | A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. | Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang |
| 2024 | ICLR | IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. | Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo |
| 2024 | ICML | Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. | Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | Deep Hierarchical Graph Alignment Kernels. | Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye |
| 2023 | ICML | Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships. | Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang |
| 2023 | ICML | Nonparametric Iterative Machine Teaching. | Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok |
| 2021 | IWQoS | DeepDelivery: Leveraging Deep Reinforcement Learning for Adaptive IoT Service Delivery. | Yan Li, Deke Guo, Xiaofeng Cao, Feng Lyu, Honghui Chen |
| 2019 | GLOBECOM | Online Worker Selection Towards High Quality Map Collection for Autonomous Driving. | Xiaofeng Cao, Yan Li, Jiarong Han, Peng Yang, Feng Lyu, Deke Guo, Xuemin Shen |
| 2019 | IJCAI | Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. | Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu |
| 2018 | CVPR | Crowd Counting With Deep Negative Correlation Learning. | Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng |
| 2018 | SMC | Node Importance Evaluation Based on Background Error Reconstruction. | Yunzhi Han, Xianqiang Zhu, Xiaofeng Cao, Zhaoyun Ding, Yuanyuan Guo, Cheng Zhu |