Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu. HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning. IEEE TPAMI, 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, 2025.
Zhiqi Kang, Liyuan Wang*, Xingxing Zhang, Karteek Alahari*. Advancing Prompt-Based Methods for Replay-Independent General Continual Learning. ICLR, 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, 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, 2025.
Liyuan Wang, Xinxing Zhang, Hang Su, Jun Zhu. A Comprehensive Survey of Continual Learning: Theory, Method and Application. IEEE TPAMI (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 (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, 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, 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 (Cover Paper), 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 (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, 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, 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, 2023.
Liyuan Wang#, Xingxing Zhang#, Qian Li, Jun Zhu, Yi Zhong. CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One. ECCV, 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, 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, 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, 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, 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, 2021.
