Visual question answering with attention transfer and a cross-modal gating mechanism. - Wei Li 084; Jianhui Sun; Ge Liu; Linglan Zhao; Xiangzhong Fang (Pattern Recognit. Lett., 2020)

A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning. - Linglan Zhao; Dashan Guo; Yunlu Xu; Liang Qiao 001; Zhanzhan Cheng; Shiliang Pu; Yi Niu; Xiangzhong Fang (BMVC, 2021)

Saliency-Guided Complementary Attention for Improved Few-Shot Learning. - Linglan Zhao; Ge Liu; Dashan Guo; Wei Li 084; Xiangzhong Fang (ICME, 2021)

Class-wise Metric Scaling for Improved Few-Shot Classification. - Ge Liu; Linglan Zhao; Wei Li 084; Dashan Guo; Xiangzhong Fang (WACV, 2021)

PDA: Proxy-based domain adaptation for few-shot image recognition. - Ge Liu; Linglan Zhao; Xiangzhong Fang (Image Vis. Comput., 2021)

Boosting Few-shot visual recognition via saliency-guided complementary attention. - Linglan Zhao; Ge Liu; Dashan Guo; Wei Li 084; Xiangzhong Fang (Neurocomputing, 2022)

Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation. - Linglan Zhao; Jing Lu 004; Yunlu Xu; Zhanzhan Cheng; Dashan Guo; Yi Niu; Xiangzhong Fang (CVPR, 2023)

Rethinking Self-Supervision for Few-Shot Class-Incremental Learning. - Linglan Zhao; Jing Lu 004; Zhanzhan Cheng; Duo Liu; Xiangzhong Fang (ICME, 2023)

Distillation Excluding Positives for Few-Shot Class-Incremental Learning. - Duo Liu; Linglan Zhao; Zhongqiang Zhang; Fuhan Cai; Xiangzhong Fang (ICME, 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 001 (NeurIPS, 2024)

Overcoming Domain Drift in Online Continual Learning. - Fan Lyu; Daofeng Liu; Linglan Zhao; Zhang Zhang 001; Fanhua Shang; Fuyuan Hu; Wei Feng 005; Liang Wang 001 (CoRR, 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 009 (CoRR, 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., 2024)

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 001 (CoRR, 2025)

Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization. - Duo Liu; Zhiquan Tan; Linglan Zhao; Zhongqiang Zhang; Xiangzhong Fang; Weiran Huang 001 (CoRR, 2025)

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning. - Fan Lyu; Linglan Zhao; Chengyan Liu; Yinying Mei; Zhang Zhang 001; Jian Zhang 002; Fuyuan Hu; Liang Wang 001 (CoRR, 2025)