431 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Peking UniversityCN31 papers
- Tsinghua UniversityCN11 papers
- Beijing Academy of Artificial IntelligenceCN5 papers
- Beijing National Laboratory for Molecular SciencesCN5 papers
- University of Chinese Academy of SciencesCN5 papers
- Chinese Academy of SciencesCN4 papers
- Chinese Institute for Brain ResearchCN4 papers
- Institute of PhysicsPL4 papers
- Songshan Lake Materials LaboratoryCN4 papers
- Collaborative Innovation Center of Quantum MatterCN3 papers
- Dana-Farber Cancer InstituteUS3 papers
- Harvard UniversityUS3 papers
3 papers · 1 filter
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Liyuan Wang, Xingxing Zhang, Qian Li +4
Continual learning aims to empower artificial intelligence (AI) with strong adaptability to the real world. For this purpose, a desirable solution should properly balance memory st…
Learning Robust Representation through Graph Adversarial Contrastive Learning
Jiayan Guo, Shangyang Li, Yue Zhao +1
Existing studies show that node representations generated by graph neural networks (GNNs) are vulnerable to adversarial attacks, such as unnoticeable perturbations of adjacent matr…
Triple Memory Networks: a Brain-Inspired Method for Continual Learning
Liyuan Wang, Bo Lei, Qian Li +3
Continual acquisition of novel experience without interfering previously learned knowledge, i.e. continual learning, is critical for artificial neural networks, but limited by cata…