Zehua Chen#, Yuyang Miao#, Liyuan Wang#*, Luyun Fan, Danilo P. Mandic, Jun Zhu*. Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer. Nature Machine Intelligence (IF=23.9), 2025.
Liyuan Wang*, Qian Li*. Convergent Multi-Modular Architecture for Adaptive Learning in Drosophila and Artificial Intelligence. iScience (IF=4.6), 2025.
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu. HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning. IEEE TPAMI (CCF-A, IF=20.8), 2025.
Qinwen Yang, Liyuan Wang, Gillian Dobbie, Joerg Wicker. Continual Learning: A Systematic Literature Review. Neural Networks (CCF-B, IF=6.3), 2025.
Chang Li, Zehua Chen, Liyuan Wang, Jun Zhu. Audio Super-Resolution with Latent Bridge Models. NeurIPS (CCF-A), 2025.
Guanglong Sun, Hongwei Yan, Liyuan Wang*, Qian Li, Bo Lei, Yi Zhong. Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation. ICML (CCF-A), 2025.
Zhiqi Kang, Liyuan Wang*, Xingxing Zhang, Karteek Alahari*. Advancing Prompt-Based Methods for Replay-Independent General Continual Learning. ICLR (CAAI-A), 2025.
Kanglei Zhou, Zikai Hao, Liyuan Wang, Xiaohui Liang. Adaptive Score Alignment Learning for Continual Perceptual Quality Assessment of 360-Degree Videos in Virtual Reality. IEEE TVCG (CCF-A, IF=6.5), 2025.
Qingyi Pan, Liyuan Wang*, Jingyi Zhang, Jun Zhu*. LUNCH: Adaptive Task Balancing for Online Continual Learning via Hyperparameter Uncertainty. SCIS (CCF-A, IF=7.6), 2025.
Qingyi Pan, Liyuan Wang*, Jingyi Zhang, Jun Zhu, Ning Chen*. Trend Virtual Adversarial Training for Semi-Supervised Time Series Classification. SCIS (CCF-A, IF=7.6), 2025.
Ziqi Yuan#, Liyuan Wang#, Wenbo Ding, Xingxing Zhang, Jiachen Zhong, Jianyong Ai, Jianmin Li, Jun Zhu. Dual-Teacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection. SCIS (CCF-A, IF=7.6), 2025.
Liyuan Wang, Xinxing Zhang, Hang Su, Jun Zhu. A Comprehensive Survey of Continual Learning: Theory, Method and Application. IEEE TPAMI (CCF-A, IF=23.6, Top-5 Popular Documents, ESI Highly Cited Paper), 2024.
Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert PH Shum, Frederick WB Li, Jianguo Li, Xiaohui Liang. MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment. ECCV (CCF-B, Oral), 2024.
Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xingxing Zhang, Xiaohui Liang. CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. IJCAI (CCF-A), 2024.
Hongwei Yan, Liyuan Wang*, Kaisheng Ma*, Yi Zhong*. Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation. CVPR (CCF-A), 2024.
Liyuan Wang#, Xingxing Zhang#, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong. Incorporating Neuro-inspired Adaptability for Continual Learning in Artificial Intelligence. Nature Machine Intelligence (IF=23.8, Cover Paper, WAICYOP Award), 2023.
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu. Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality. NeurIPS (CCF-A, Spotlight), 2023.
Yilin Lyu#, Liyuan Wang#, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing. Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. NeurIPS (CCF-A), 2023.
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu. Towards a General Framework for Continual Learning with Pre-training. NeurIPSW, 2023.
Gengwei Zhang#, Liyuan Wang#, Guoliang Kang, Ling Chen, Yunchao Wei. SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model. ICCV (CCF-A), 2023.
Jianjian Zhao, Xuchen Zhang, Bohan Zhao, Wantong Hu, Tongxin Diao, Liyuan Wang, Yi Zhong, Qian Li. Genetic Dissection of Mutual Interference between Two Consecutive Learning Tasks in Drosophila. eLife (IF=7.7), 2023.
Liyuan Wang#, Xingxing Zhang#, Qian Li, Jun Zhu, Yi Zhong. CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One. ECCV (CCF-B), 2022.
Xingxing Zhang, Zhizhe Liu, Weikai Yang, Liyuan Wang, Jun Zhu. The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification. ACM MM (CCF-A), 2022.
Liyuan Wang#, Xingxing Zhang#, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu. Memory Replay with Data Compression for Continual Learning. ICLR (CAAI-A), 2022.
Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, YiZhong. AFEC: Active Forgetting of Negative Transfer in Continual Learning. NeurIPS (CCF-A), 2021.
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu. ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning. CVPR (CCF-A), 2021.
Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong. Triple-Memory Networks: A Brain-inspired Method for Continual Learning. IEEE TNNLS (CCF-B, IF=10.5), 2021.
