Kaile Du

According to our database, Kaile Du authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Inductive Convolution Nuclear Norm Minimization for Tensor Completion with Arbitrary Sampling.

Wei Li, Yuyang Li, Kaile Du, Yi Yu, Guangcan Liu

CoRR, April, 2026

ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning.

Zihan Ye, Shreyank N. Gowda, Kaile Du, Weijian Luo, Ling Shao

CoRR, February, 2026

Exact recovery of tensors with arbitrarily located corruptions through convolution principal component pursuit.

Yuyang Li, Wei Li, Kaile Du, Guangcan Liu

Signal Process., 2026

Negative-weighted knowledge distillation regularized graph convolutional network for multi-label class-incremental learning.

Kaile Du, Junzhou Xie, Fan Lyu, Yifan Zhou, Zihan Ye, Wei Li, Yuyang Li, Guangcan Liu

Pattern Recognit., 2026

2025

DDP: Dual-Decoupled Prompting for Multi-Label Class-Incremental Learning.

Kaile Du, Zihan Ye, Junzhou Xie, Fan Lyu, Yixi Shen, Yuyang Li, Miaoxuan Zhu, Fuyuan Hu, Ling Shao, Guangcan Liu

CoRR, September, 2025

Rebalancing Multi-Label Class-Incremental Learning.

Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multi-Label Continual Learning Using Augmented Graph Convolutional Network.

Kaile Du, Fan Lyu, Linyan Li, Fuyuan Hu, Wei Feng, Fenglei Xu, Xuefeng Xi, Hanjing Cheng

IEEE Trans. Multim., 2024

CTCFNet: CNN-Transformer Complementary and Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation.

Chen Lu, Xian Zhang, Kaile Du, Han Xu, Guangcan Liu

IEEE Trans. Geosci. Remote. Sens., 2024

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning.

Chengyan Liu, Linglan Zhao, Fan Lyu, Kaile Du, Fuyuan Hu, Tao Zhou

CoRR, 2024

Variational Continual Test-Time Adaptation.

Fan Lyu, Kaile Du, Yuyang Li, Hanyu Zhao, Zhang Zhang, Guangcan Liu, Liang Wang

CoRR, 2024

Confidence Self-calibration for Multi-label Class-Incremental Learning.

Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

Class-Incremental Lifelong Learning in Multi-Label Classification.

Kaile Du, Linyan Li, Fan Lyu, Fuyuan Hu, Zhenping Xia, Fenglei Xu

CoRR, 2022

AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition.

Kaile Du, Fan Lyu, Fuyuan Hu, Linyan Li, Wei Feng, Fenglei Xu, Qiming Fu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022