DAU-GAN: Unsupervised Object Transfiguration via Deep Attention Unit. - Zihan Ye; Fan Lyu; Jinchang Ren; Yu Sun; Qiming Fu 001; Fuyuan Hu (BICS, 2018)

Coarse to Fine: Multi-label Image Classification with Global/Local Attention. - Fan Lyu; Fuyuan Hu; Victor S. Sheng; Zhengtian Wu; Qiming Fu 001; Baochuan Fu (ISC2, 2018)

SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning. - Zihan Ye; Fan Lyu; Linyan Li; Qiming Fu 001; Jinchang Ren; Fuyuan Hu (ICME, 2019)

Unsupervised Object Transfiguration with Attention. - Zihan Ye; Fan Lyu; Linyan Li; Yu Sun; Qiming Fu 001; Fuyuan Hu (Cogn. Comput., 2019)

Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks. - Fan Lyu; Qi Wu 001; Fuyuan Hu; Qingyao Wu; Mingkui Tan (IEEE Trans. Multim., 2019)

Associating Multi-Scale Receptive Fields For Fine-Grained Recognition. - Zihan Ye; Fuyuan Hu; Yin Liu; Zhenping Xia; Fan Lyu; Pengqing Liu (ICIP, 2020)

Modeling Cross-View Interaction Consistency for Paired Egocentric Interaction Recognition. - Zhongguo Li; Fan Lyu; Wei Feng 005; Song Wang 002 (ICME, 2020)

Mutatt: Visual-Textual Mutual Guidance For Referring Expression Comprehension. - Shuai Wang; Fan Lyu; Wei Feng 005; Song Wang 002 (ICME, 2020)

vtGraphNet: Learning weakly-supervised scene graph for complex visual grounding. - Fan Lyu; Wei Feng 005; Song Wang 002 (Neurocomputing, 2020)

Multi-Domain Multi-Task Rehearsal for Lifelong Learning. - Fan Lyu; Shuai Wang; Wei Feng 005; Zihan Ye; Fuyuan Hu; Song Wang 002 (AAAI, 2021)

Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing. - Liuqing Zhao; Fan Lyu; Fuyuan Hu; Kaizhu Huang; Fenglei Xu; Linyan Li (BMVC, 2021)

AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition. - Kaile Du; Fan Lyu; Fuyuan Hu; Linyan Li; Wei Feng 005; Fenglei Xu; Qiming Fu 001 (ICME, 2022)

Exploring Example Influence in Continual Learning. - Qing Sun; Fan Lyu; Fanhua Shang; Wei Feng 005; Liang Wan (NeurIPS, 2022)

Harnessing Multi-Semantic Hypergraph for Few-Shot Learning. - Hao Chen 011; Linyan Li; Zhenping Xia; Fan Lyu; Liuqing Zhao; Kaizhu Huang; Wei Feng 005; Fuyuan Hu (PRCV (1), 2022)

Class-Incremental Lifelong Learning in Multi-Label Classification. - Kaile Du; Linyan Li; Fan Lyu; Fuyuan Hu; Zhenping Xia; Fenglei Xu (CoRR, 2022)

Visual Grounding Via Accumulated Attention. - Chaorui Deng; Qi Wu 001; Qingyao Wu; Fuyuan Hu; Fan Lyu; Mingkui Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning. - Zihan Ye; Fuyuan Hu; Fan Lyu; Linyan Li; Kaizhu Huang (IEEE Trans. Multim., 2022)

Fine-grained scale space learning for single image super-resolution. - Ye Liu; Liang Wan; Fan Lyu; Wei Feng 005 (Vis. Comput., 2022)

Centroid Distance Distillation for Effective Rehearsal in Continual Learning. - Daofeng Liu; Fan Lyu; Linyan Li; Zhenping Xia; Fuyuan Hu (ICASSP, 2023)

Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning. - Fan Lyu; Qing Sun; Fanhua Shang; Liang Wan; Wei Feng 005 (ICCV, 2023)

Two-level Graph Network for Few-Shot Class-Incremental Learning. - Hao Chen; Linyan Li; Fan Lyu; Fuyuan Hu; Zhenping Xia; Fenglei Xu (CoRR, 2023)

Dynamic V2X Autonomous Perception from Road-to-Vehicle Vision. - Jiayao Tan; Fan Lyu; Linyan Li; Fuyuan Hu; Tingliang Feng; Fenglei Xu; Rui Yao (CoRR, 2023)

Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning. - Fuyuan Hu; Jian Zhang; Fan Lyu; Linyan Li; Fenglei Xu (CoRR, 2023)

Difference-guided multi-scale spatial-temporal representation for sign language recognition. - Liqing Gao; Lianyu Hu 003; Fan Lyu; Lei Zhu 003; Liang Wan; Chi-Man Pun; Wei Feng 005 (Vis. Comput., 2023)

Multi-semantic hypergraph neural network for effective few-shot learning. - Hao Chen 011; Linyan Li; Fuyuan Hu; Fan Lyu; Liuqing Zhao; Kaizhu Huang; Wei Feng 005; Zhenping Xia (Pattern Recognit., 2023)

Long-Tailed Learning as Multi-Objective Optimization. - Weiqi Li; Fan Lyu; Fanhua Shang; Liang Wan; Wei Feng 005 (AAAI, 2024)

Parameter-Selective Continual Test-Time Adaptation. - Jiaxu Tian; Fan Lyu (ACCV (8), 2024)

Confidence Self-calibration for Multi-label Class-Incremental Learning. - Kaile Du; Yifan Zhou; Fan Lyu; Yuyang Li 005; Chen Lu 004; Guangcan Liu (ECCV (31), 2024)

MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation. - Li Dinghang; Zongqing Lu 001; Weiliang Zheng; Qingmin Liao; Fan Lyu (IJCNN, 2024)

Understanding Driving Risks via Prompt Learning. - Yubo Chang; Fan Lyu; Zhang Zhang; Liang Wang (SMC, 2024)

Elastic Multi-Gradient Descent for Parallel Continual Learning. - Fan Lyu; Wei Feng 005; Yuepan Li; Qing Sun; Fanhua Shang; Liang Wan; Liang Wang 001 (CoRR, 2024)

Variational Continual Test-Time Adaptation. - Fan Lyu; Kaile Du; Yuyang Li 005; Hanyu Zhao; Zhang Zhang 001; Guangcan Liu; Liang Wang 001 (CoRR, 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)

Controllable Continual Test-Time Adaptation. - Ziqi Shi; Fan Lyu; Ye Liu; Fanhua Shang; Fuyuan Hu; Wei Feng 005; Zhang Zhang 001; Liang Wang 001 (CoRR, 2024)

Improving Data-aware and Parameter-aware Robustness for Continual Learning. - Hanxi Xiao; Fan Lyu (CoRR, 2024)

Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation. - Jiayao Tan; Fan Lyu; Chenggong Ni; Tingliang Feng; Fuyuan Hu; Zhang Zhang 001; Shaochuang Zhao; Liang Wang 001 (CoRR, 2024)

Towards stable training of parallel continual learning. - Yuepan Li; Fan Lyu; Yuyang Li 005; Wei Feng 005; Guangcan Liu; Fanhua Shang (CoRR, 2024)

Constructing Enhanced Mutual Information for Online Class-Incremental Learning. - Huan Zhang; Fan Lyu; Shenghua Fan; Yujin Zheng; Dingwen Wang (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)

Combinational sign language recognition. - Liqing Gao; Wei Feng 005; Fan Lyu; Liang Wang 001 (Comput. Vis. Image Underst., 2024)

Multi-Label Continual Learning Using Augmented Graph Convolutional Network. - Kaile Du; Fan Lyu; Linyan Li; Fuyuan Hu; Wei Feng 005; Fenglei Xu; Xuefeng Xi; Hanjing Cheng (IEEE Trans. Multim., 2024)

Towards Long-Term Remembering in Federated Continual Learning. - Ziqin Zhao; Fan Lyu; Linyan Li; Fuyuan Hu; Minming Gu; Li Sun (Cogn. Comput., 2024)

Overcoming Modality Bias in Question-Driven Sign Language Video Translation. - Liqing Gao; Fan Lyu; Peng Shi; Lei Zhu 003; Junfu Pu; Liang Wang 001; Wei Feng 005 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Rebalancing Multi-Label Class-Incremental Learning. - Kaile Du; Yifan Zhou; Fan Lyu; Yuyang Li 005; Junzhou Xie; Yixi Shen; Fuyuan Hu; Guangcan Liu (AAAI, 2025)

Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation. - Chenggong Ni; Fan Lyu; Jiayao Tan; Fuyuan Hu; Rui Yao; Tao Zhou 009 (CVPR, 2025)

Dual Semantic Guidance for Open Vocabulary Semantic Segmentation. - Zhengyang Wang; Tingliang Feng; Fan Lyu; Fanhua Shang; Wei Feng 005; Liang Wan (CVPR, 2025)

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. - Hongmei Yin; Tingliang Feng; Fan Lyu; Fanhua Shang; Hongying Liu 001; Wei Feng 005; Liang Wan (CVPR, 2025)

Conformal Uncertainty Indicator for Continual Test-Time Adaptation. - Fan Lyu; Hanyu Zhao; Ziqi Shi; Ye Liu; Fuyuan Hu; Zhang Zhang 001; Liang Wang 001 (CoRR, 2025)

Test-Time Discovery via Hashing Memory. - Fan Lyu; Tianle Liu; Zhang Zhang 001; Fuyuan Hu; Liang Wang 001 (CoRR, 2025)

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. - Hongmei Yin; Tingliang Feng; Fan Lyu; Fanhua Shang; Hongying Liu 001; Wei Feng 005; Liang Wang 001 (CoRR, 2025)

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering. - Xu Li; Fan Lyu (CoRR, 2025)

Beyond Freezing: Sparse Tuning Enhances Plasticity in Continual Learning with Pre-Trained Models. - Huan Zhang; Fan Lyu; Shuyu Dong; Shenghua Fan; Yujin Zheng; Dingwen Wang (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)