Baile Xu

According to our database, Baile Xu authored at least 27 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning.

Huiyu Yi, Zhiming Xu, Dunwei Tu, Zhicheng Wang, Baile Xu, Furao Shen

CoRR, May, 2026

Towards Realistic Class-Incremental Learning with Free-Flow Increments.

Zhiming Xu, Baile Xu, Jian Zhao, Furao Shen, Suorong Yang

CoRR, April, 2026

Data Agent: Learning to Select Data via End-to-End Dynamic Optimization.

Suorong Yang, Fangjian Su, Hai Gan, Ziqi Ye, Jie Li, Baile Xu, Furao Shen, Soujanya Poria

CoRR, March, 2026

Dual prototypes for adaptive pre-trained model in class-incremental learning.

Zhiming Xu, Suorong Yang, Baile Xu, Furao Shen, Jian Zhao

Neural Networks, 2026

Equivariant feature extraction: Enhancing 3D point cloud analysis with robust rotational equivariance.

Qianwei Tang, Baile Xu, Jian Zhao, Furao Shen

Neurocomputing, 2026

2025

Parameter-Efficient Augment Plugin for Class-Incremental Learning.

Zhiming Xu, Baile Xu, Jian Zhao, Furao Shen, Suorong Yang

CoRR, December, 2025

Physics-inspired Energy Transition Neural Network for Sequence Learning.

Zhou Wu, Junyi An, Baile Xu, Furao Shen, Jian Zhao

CoRR, May, 2025

Interactive Instance Annotation with Siamese Networks.

Xiang Xu, Ruotong Li, Mengjun Yi, Baile Xu, Furao Shen, Jian Zhao

CoRR, May, 2025

Supervised contrastive learning with prototype distillation for data incremental learning.

Suorong Yang, Tianyue Zhang, Zhiming Xu, Peijia Li, Baile Xu, Furao Shen, Jian Zhao

Neural Networks, 2025

Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning.

Dunwei Tu, Huiyu Yi, Yuchi Wang, Baile Xu, Jian Zhao, Furao Shen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning.

Zhiming Xu, Suorong Yang, Baile Xu, Jian Zhao, Furao Shen

CoRR, 2024

2023

Correction to: Real-time object tracking in the wild with Siamese network.

Feng Han, Shaokui Jiang, Jianmin Wu, Baile Xu, Jian Zhao, Furao Shen

Multim. Tools Appl., July, 2023

Real-time object tracking in the wild with Siamese network.

Feng Han, Shaokui Jiang, Jianmin Wu, Baile Xu, Jian Zhao, Furao Shen

Multim. Tools Appl., July, 2023

A self-organizing incremental neural network for imbalance learning.

Yue Shao, Baile Xu, Furao Shen, Jian Zhao

Neural Comput. Appl., May, 2023

Contrastive Open Set Recognition.

Baile Xu, Furao Shen, Jian Zhao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

V-SOINN: A topology preserving visualization method for multidimensional data.

Hui Dou, Baile Xu, Furao Shen, Jian Zhao

Neurocomputing, 2021

Faster and Simpler Siamese Network for Single Object Tracking.

Shaokui Jiang, Baile Xu, Jian Zhao, Furao Shen

CoRR, 2021

2020

Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss.

Yuanjie Yan, Hongyan Hao, Baile Xu, Jian Zhao, Furao Shen

IEEE Trans. Image Process., 2020

Operation-aware Neural Networks for user response prediction.

Yi Yang, Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao

Neural Networks, 2020

2019

A density-based competitive data stream clustering network with self-adaptive distance metric.

Baile Xu, Furao Shen, Jinxi Zhao

Neural Networks, 2019

Locally linear SVMs based on boundary anchor points encoding.

Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao

Neural Networks, 2019

Super Interaction Neural Network.

Yang Yao, Xu Zhang, Baile Xu, Furao Shen, Jian Zhao

CoRR, 2019

Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning.

Xu Zhang, Yang Yao, Baile Xu, Lekun Mao, Furao Shen, Jian Zhao, Qingwei Lin

CoRR, 2019

Operation-aware Neural Networks for User Response Prediction.

Yi Yang, Baile Xu, Furao Shen, Jian Zhao

CoRR, 2019

2017

Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering.

Tianyue Zhang, Baile Xu, Furao Shen

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Self-adaptive Growing Method for Training Compact RBF Networks.

Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Density Based Self Organizing Incremental Neural Network for data stream clustering.

Baile Xu, Furao Shen, Jinxi Zhao

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016