Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics where Angsheng Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Structural Entropy Guided Meta-Learning for Few-Shot Node Classification
Chen, X., Yue, K., Liu, D., Liu, W., Duan, L. & Li, A., 2026, (Accepted/In press) In: IEEE Transactions on Knowledge and Data Engineering.Research output: Contribution to journal › Article › peer-review
-
A Survey of Structural Entropy: Theory, Methods, and Applications
Su, D., Peng, H., Pan, Y. & Li, A., 2025, Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025. Kwok, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 10660-10668 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural Entropy
Su, D., Peng, H., Zeng, G., Li, P., Li, A. & Pan, Y., 2025, p. 507-515. 9 p.Research output: Contribution to conference › Paper › peer-review
1 Link opens in a new tab Scopus citations -
Hierarchical Abstracting Graph Kernel
Yang, R., Peng, H., Li, A., Li, P., Liu, C. & Yu, P. S., 2025, In: IEEE Transactions on Knowledge and Data Engineering. 37, 2, p. 724-738 15 p.Research output: Contribution to journal › Article › peer-review
4 Link opens in a new tab Scopus citations -
Hierarchical Decision Making Based on Structural Information Principles
Zeng, X., Peng, H., Su, D. & Li, A., 2025, In: Journal of Machine Learning Research. 26Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations