Linglan Zhao

According to our database, Linglan Zhao authored at least 21 papers between 2020 and 2026.

Collaborative distances:

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

2026

Mitigating Catastrophic Forgetting in Online Continual Learning With Dual-Margin Contrastive Replay.

Fan Lyu, Gongbo Cheng, Daofeng Liu, Linglan Zhao, Zhang Zhang, Fuyuan Hu, Liang Wang

IEEE Trans. Circuits Syst. Video Technol., April, 2026

HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning.

Xuerui Zhang, Xuehao Wang, Zhan Zhuang, Linglan Zhao, Ziyue Li, Xinmin Zhang, Zhihuan Song, Yu Zhang

CoRR, March, 2026

2025

A Three-Dimensional Complete Complementary Coded Spread Spectrum System Designed for Multi-User-Multi-Target ISAC Scenarios.

Xiqing Liu, Junpeng Li, Linglan Zhao, Yiran Yang, Yafei Zhao, Mugen Peng

IEEE Trans. Wirel. Commun., December, 2025

Few-Shot Class-Incremental Learning via Asymmetric Supervised Contrastive Learning.

Duo Liu, Linglan Zhao, Zhongqiang Zhang, Fan Lyu, Xiangzhong Fang, Liang Wang

IEEE Trans. Circuits Syst. Video Technol., October, 2025

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning.

Fan Lyu, Linglan Zhao, Chengyan Liu, Yinying Mei, Zhang Zhang, Jian Zhang, Fuyuan Hu, Liang Wang

CoRR, July, 2025

Enhanced Continual Learning of Vision-Language Models with Model Fusion.

Haoyuan Gao, Zicong Zhang, Yuqi Wei, Linglan Zhao, Guilin Li, Yexin Li, Linghe Kong, Weiran Huang

CoRR, March, 2025

VISA: Group-wise Visual Token Selection and Aggregation via Graph Summarization for Efficient MLLMs Inference.

Pengfei Jiang, Hanjun Li, Linglan Zhao, Fei Chao, Ke Yan, Shouhong Ding, Rongrong Ji

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

Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization.

Duo Liu, Zhiquan Tan, Linglan Zhao, Zhongqiang Zhang, Xiangzhong Fang, Weiran Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Complementary Coded Scrambling RadCom System - An Integrated Radar and Communication Design in Multi-User-Multi-Target Scenarios.

Xiqing Liu, Linglan Zhao, Wenjing Liu, Jichong Guo, Yiran Yang, Yujun Liu, Mugen Peng

IEEE Trans. Veh. Technol., January, 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

Overcoming Domain Drift in Online Continual Learning.

Fan Lyu, Daofeng Liu, Linglan Zhao, Zhang Zhang, Fanhua Shang, Fuyuan Hu, Wei Feng, Liang Wang

CoRR, 2024

SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models.

Linglan Zhao, Xuerui Zhang, Ke Yan, Shouhong Ding, Weiran Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Distillation Excluding Positives for Few-Shot Class-Incremental Learning.

Duo Liu, Linglan Zhao, Zhongqiang Zhang, Fuhan Cai, Xiangzhong Fang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Rethinking Self-Supervision for Few-Shot Class-Incremental Learning.

Linglan Zhao, Jing Lu, Zhanzhan Cheng, Duo Liu, Xiangzhong Fang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.

Linglan Zhao, Jing Lu, Yunlu Xu, Zhanzhan Cheng, Dashan Guo, Yi Niu, Xiangzhong Fang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Boosting Few-shot visual recognition via saliency-guided complementary attention.

Linglan Zhao, Ge Liu, Dashan Guo, Wei Li, Xiangzhong Fang

Neurocomputing, 2022

2021

PDA: Proxy-based domain adaptation for few-shot image recognition.

Ge Liu, Linglan Zhao, Xiangzhong Fang

Image Vis. Comput., 2021

Class-wise Metric Scaling for Improved Few-Shot Classification.

Ge Liu, Linglan Zhao, Wei Li, Dashan Guo, Xiangzhong Fang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Saliency-Guided Complementary Attention for Improved Few-Shot Learning.

Linglan Zhao, Ge Liu, Dashan Guo, Wei Li, Xiangzhong Fang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning.

Linglan Zhao, Dashan Guo, Yunlu Xu, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Xiangzhong Fang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Visual question answering with attention transfer and a cross-modal gating mechanism.

Wei Li, Jianhui Sun, Ge Liu, Linglan Zhao, Xiangzhong Fang

Pattern Recognit. Lett., 2020