Books

Selected publications

Full list of publications

1. Huan Zhang, Shuyu Dong, Yujin Zheng, Dingwen Wang, Shenghua Fan, Fan Lyu. Subspace Alignment for CLIP-based Continual Learning via Canonical Correlation Analysis. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. #CCF-A #ICORE-A*
2. Jiayao Tan, Fan Lyu, Tianle Liu, Fuyuan Hu, Wei Feng. Towards Dynamic Modality Alignment in Multimodal Continual Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. #CCF-A #ICORE-A*
3. Jiayao Tan, Fan Lyu, Chenggong Ni, Wei Feng, Fuyuan Hu, Rui Yao. Exposing Mixture and Annotating Confusion for Active Universal Test-Time Adaptation. International Conference on Learning Representations (ICLR), 2026. #ICORE-A*
4. Ye Liu, Wubin Gao, Youchen Chen, Fan Lyu, Xing Wang. Low-Level Continual Test-Time Adaptation for Image Restoration. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026. #CCF-B
5. Shuangqing Zhang, Wen Dong, Wei Xu, Guanglei Chu, Yuqi Fang, Fan Lyu, Gangming Zhao, Fang Zhao. Contextual Clue Mining and Class Calibration for Weakly Supervised Video Anomaly Detection. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026. #CCF-B
6. Chengyan Liu, Linglan Zhao, Juping Gu, Fuyuan Hu, Fan Lyu. From Cold-Start to Stabilization: A Dual-Prototype Framework for Online Any-Shot Continual Learning. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026. #CCF-B
7. Fan Lyu, Gongbo Cheng, Daofeng Liu, Linglan Zhao, Zhang Zhang, Fuyuan Hu, Liang Wang. Mitigating Catastrophic Forgetting in Online Continual Learning with Dual-Margin Contrastive Replay. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.  #SCI-1  #JCR-Q1 #CCF-B
8. Wenyou Yi, Fan Lyu, Zhang Zhang, Fuyuan Hu, Liang Wang.SIFS: From Segment Anything to Classify Anything with Few Shots. In International Conference on Brain Inspired Cognitive Systems (BICS). 2025. #Best_Paper_Award
9. Huan Zhang, Shenghua Fan, Shuyu Dong, Yujin Zheng, Dingwen Wang, Fan Lyu. Sparse Tuning Enhances Plasticity in PTM-based Continual Learning. In AAAI Conference on Artificial Intelligence (AAAI), 2025. #CCF-A #ICORE-A* #Oral
10. Liang Hua, Tong Xu, Pan Hu*, Yuchao Jin, Houshi Ding, Shize Ma, Fan Lyu*. An anti-interference attention fusion network-based weld penetration state recognition with multimodal data. Nondestructive Testing and Evaluation, 2025. #SCI-2  #JCR-Q1
11. Shuangqing Zhang, Gangming Zhao, Fan Lyu, Songping Wang, Zhang Zhang, Fang Zhao, Jinpeng Li, Caifeng Shan, Liang Wang. MambaPTP: Exploring the Potential of Mamba for Pedestrian Trajectory Prediction. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025. #SCI-1  #JCR-Q1 #CCF-B
12. Guowei Wang, Fan Lyu, Changxing Ding. Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation. In the Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. #CCF-A #ICORE-A* #Spotlight
13. Tianle Liu, Fan Lyu, Chenggong Ni, Zhang Zhang, Fuyuan Hu, Liang Wang. DAA: Amplifying Unknown Discrepancy for Test-Time Discovery. In the Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. #CCF-A #ICORE-A*
14. 韩雨晨;徐峰磊;吕凡;姚睿;胡伏原. 高速数据流下无边界在线稀疏连续学习方法.计算机应用. 2025.
15. 周怡凡;杜凯乐;吕凡;胡伏原;刘光灿. 类激活图回放和最小熵采样的多标签类增量学习. 中国图象图形学报. 2025.
16. 陆霆洋;吕凡;周涛;姚睿;胡伏原. 持续测试时域自适应图像分类方法. 中国图象图形学报. 2025.
17. Huan Zhang, Fan Lyu, Shenghua Fan, Yujin Zheng, Dingwen Wang. Constructing Enhanced Mutual Information for Online Class-Incremental Learning. IEEE Transactions on Multimedia (TMM), 2025.  #SCI-1  #JCR-Q1 #CCF-B
18. Duo Liu, Linglan Zhao, Zhongqiang Zhang, Fan Lyu, Xiangzhong Fang, Liang Wang. Few-Shot Class-Incremental Learning via Asymmetric Supervised Contrastive Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.  #SCI-1  #JCR-Q1 #CCF-B
19. Fan Lyu, Liang Wang, Xi Li, Weishi Zheng, Zhang Zhang, Fuyuan Hu. A Comprehensive Survey on Continual Learning. Journal of Image and Graphics (JIG), 2025. 
20. Chenggong Ni, Fan Lyu, Jiayao Tan, Fuyuan Hu, Rui Yao, Tao Zhou. Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. #CCF-A #ICORE-A*
21. Hongmei Yin, Tingliang Feng, Fan Lyu, Fanhua Shang, Hongying Liu, Wei Feng, Liang Wan. Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. #CCF-A #ICORE-A*
22. Zhengyang Wang, Tingliang Feng, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan. Dual Semantic Guidance for Open Vocabulary Semantic Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. #CCF-A #ICORE-A*
23. Ziqi Shi, Fan Lyu, Ye Liu, Fanhua Shang, Fuyuan Hu, Wei Feng, Zhang Zhang, Liang Wang. Controllable Continual Test-Time Adaptation. IEEE International Conference on Multimedia and Expo (ICME), 2025. #CCF-B
24. Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu. Rebalancing Multi-Label Class-Incremental Learning. AAAI Conference on Artificial Intelligence (AAAI), 2025. #CCF-A #ICORE-A*
25. Jiaxu Tian, Fan Lyu†. Parameter-Selective Continual Test-Time Adaptation. Asian Conference on Computer Vision (ACCV), 2024. #CCF-C
26. Yubo Chang, Fan Lyu, Zhang Zhang, Liang Wang. Understanding Driving Risks via Prompt Learning. In IEEE SMC, 2024. [pdf] [code] #CCF-C
27. Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu. Confidence Self-Calibration for Multi-Label Class-Incremental Learning. In ECCV, 2024. [pdf] [code] #CCF-B #ICORE-A*
28. Liqing Gao, Fan Lyu, Peng Shi, Lei Zhu, Junfu Pu, Liang Wan, Wei Feng. Overcoming Modality Bias in Question-Driven Sign Language Video Translation. IEEE TCSVT, 2024. [pdf] [code]  #SCI-1  #JCR-Q1 #CCF-B
29. Ziqing Zhao, Fan Lyu, Linyan Li, Fuyuan Hu, Minming Gu, Sun Li. Towards Long-Term Remembering in Federated Continual Learning. Congnitive Computation, 2024. [pdf]   #SCI-2  #JCR-Q1
30. Jiayao Tan, Fan Lyu, Linyan Li, Fuyuan Hu, Tingliang Feng, Fenglei Xu, Zhang Zhang, Rui Yao, Liang Wang. Dynamic V2X Perception from Road-to-Vehicle Vision. IEEE TIV, 2024. [pdf] [code]
31. Dinghang Li, Zongqing Lu, Weiliang Zheng, Qingmin Liao, Fan Lyu. MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation. In IEEE IJCNN, 2024. [pdf] [code]
32. Liqing Gao, Wei Feng, Fan Lyu, Liang Wan. Combinational sign language recognition. CVIU, 2024. [pdf] [code]
33. Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng. Long-Tailed Learning as Multi-Objective Optimization. In AAAI (Oral), 2024. [pdf] [code] #CCF-A
34. Kaile Du*, Fan Lyu*, Linyan Li, Fuyuan Hu, Wei Feng, Fenglei Xu, Xuefeng Xi, Hanjing Cheng. Multi-Label Continual Learning using Augmented Graph Convolutional Network. IEEE TMM [pdf]
35. Daofeng Liu*, Fan Lyu, Linyan Li, Fuyuan Hu. Centroid-based Re-hearsal for Online Continual Learning. In ICASSP, 2023.
36. Fan Lyu, Qing Sun, Fanhua Shang, Wei Feng, Liang Wan. Measuring Asymmetric Gradient Discrepancy in Paralllel Continual Learning. In ICCV, 2023. #CCF-A
37. Liqing Gao, Lianyu Hu, Fan Lyu, Lei Zhu, Liang Wan, Chi-Man Pun, Wei Feng. Difference-Guided Multi-Scale Spatial-Temporal Representation for Sign Lan-guage Recognition. The Visual Computer (TVC), 2023.
38. Qing Sun*, Fan Lyu*, Fanhua Shang, Wei Feng, Liang Wan. Explor-ing Example Influence on Plasticity or Stability in Continual Learning [C]. In NeurIPS, 2022. #CCF-A
39. Kaile Du*, Fan Lyu*, Fuyuan Hu, Linyan Li, Wei Feng, Fenglei Xu and Qiming Fu. AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition[C]. IEEE International Conference on Multimedia and Expo (ICME), 2022.
40. Hao Chen, Linyan Li, Fuyuan Hu, Fan Lyu, Liuqing Zhao, Kaizhu Huang, Wei Feng Zhenping Xia. Learning Multi-Semantic Hypergraph for Few-Shot Data[J]. Pattern Recognition, 2022(142), 109677. #CCF-A
41. Linyan Li, Kaile Du, Minming Gu, Fuyuan Hu, Fan Lyu. Region Collaborative Net-work for Detection-based Vision-Language Understanding[J]. Mathematics, 2022; 10(17):3110.
42. Ye Liu, Liang Wan, Fan Lyu, Wei Feng . Fine-Grained Scale Space Learn-ing for Single Image Super-Resolution[J]. The Visual Computer (TVC), 2022.
43. Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang. Multi-domain Multi-task Rehearsal for Lifelong Learning[C]. In Proceedings of The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. #CCF-A
44. Liuqing Zhao*, Fan Lyu*, Fuyuan Hu, Fenglei Xu, Kaizhu Huang and Linyan Li. Each Attribute Matters: Contrastive Attention for Sentence-based Image Edit-ing[C]. In BMVC, 2021.
45. Zihan Ye, Fuyuan Hu, Fan Lyu, Linyan Li, and Kaizhu Huang. Disentan-gling Semantic-to-visual Confusion for Zero-shot Learning. IEEE Transactions on Multimedia (TMM), 2021.
46. Chaorui Deng, Qi Wu, Qingyao Wu, Fan Lyu, Fuyuan Hu, Mingkui Tan. Visual Grounding via Accumulated Attention[J]. IEEE Transactions on Pattern Analysis and Ma-chine Intelligence (TPAMI), 2020.
47. Fan Lyu, Wei Feng, Song Wang. vtGraphNet: Learning weakly-supervised scene graph for complex visual grounding[J]. Neurocomputing, 2020, 413: 51-60.
48. Zhongguo Li, Fan Lyu, Wei Feng, Song Wang. Modeling Cross-View Interaction Consistency for Paired Egocentric Interaction Recognition[C]. 2020 IEEE International Conference on Multimedia and Expo (ICME). 2020.
49. Shuai Wang, Fan Lyu, Wei Feng, Song Wang. MutAtt: Visual-Textual Mutual Guidance for Referring Expression Comprehension[C]. 2020 IEEE International Conference on Mul-timedia and Expo (ICME). 2020.
50. Zihan Ye, Fuyuan Hu, Yin Liu, Zhenping Xia, Fan Lyu, Pengqing Liu. Associat-ing Multi-Scale Receptive Fields for Fine-grained Recognition[C]. IEEE International Conference on Image Processing (ICIP), 2020: 1-5.
51. Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu and Mingkui Tan. Attend and Imagine: Multi-label Image Classification with Visual Attention and Recurrent Neural Networks[J]. IEEE Transactions on Multimedia (TMM), 2019,21(8),1971-1981.
52. Zihan Ye*, Fan Lyu*, Linyan Li, Yu Sun, Qiming Fu and Fuyuan Hu. SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning[C]. IEEE International Conference on Multimedia and Expo (ICME), 2019. (Oral)
53. Fan Lyu, Fuyuan Hu, Yanning Zhang, Zhenping Xia and Vector S. Sheng. Image Captioning Based on The Feedback Attention Mechanism[J]. Journal of Computer-Aided Design & Computer Graphics, 2019.
54. Fan Lyu, Linyan Li, Shengli Victor Sheng, Qiming Fu and Fuyuan Hu. Multi-label image classification in smart cities via coarse-to-fine attention[J]. Chinese Journal of Electronics, 2019,28(6),1118-1126.
55. Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan, Qingyao Wu. Visual Grounding via Accumulated Attention[C]. In Proceedings of IEEE Conference on Comput-er Vision and Pattern Recognition (CVPR), 2018.
56. Zihan Ye*, Fan Lyu*, Linyan Li, Yu Sun, Qiming Fu and Fuyuan Hu. Unsupervised Object Transfiguration with Attention[J]. Cognitive Computation, 2018, 11(6), 869-878.
57. Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu and Baochuan Fua. Coarse to Fine: Multi-label Image Classification with Global/Local Attention[C]. IEEE International Smart Cities Conference (ISC2), 2018.
58. Zihan Ye*, Fan Lyu*, Linyan Li, Yu Sun, Qiming Fu and Fuyuan Hu. DAU-GAN: Unsupervised object transfiguration via Deep Attention Unit[C]. International Conference on Brain Inspired Cognitive Systems (BICS), 2018. (Best Poster Paper)