研究方向

• AI for Science

• AI for Drug Discovery

• Graph Learning

代表性学术论文

[1]    Zhou, K.*, Dong, Y.*, Wang, K., Lee, W. S., Hooi, B., Xu, H., & Feng, J. (2021, October). Understanding and resolving performance degradation in deep graph convolutional networks. In Proceedings of the 30th ACM international conference on information & knowledge management(pp. 2728-2737).

[2]    Wang, K.*, Zhou, K.*, Zhang, Q., Shao, J., Hooi, B., & Feng, J. (2021, July). Towards better laplacian representation in reinforcement learning with generalized graph drawing. In International Conference on Machine Learning(pp. 11003-11012). PMLR.

[3]    Wang, K.*, Zhou, K.*, Feng, J., Hooi, B., & Wang, X. (2023). Reachability-aware Laplacian representation in reinforcement learning. In Proceedings of the 40th International Conference on Machine Learning (pp. 36670–36693). PMLR

[4]    Zhou, K., Wang, K., Tang, J., Feng, J., Hooi, B., Zhao, P., ... & Wang, X. (2022, December). Jointly modelling uncertainty and diversity for active molecular property prediction. In Learning on Graphs Conference(pp. 29-1). PMLR.