1. Graph Learning, e.g., Hierarchical Graph Neural Networks, Deconvolutional Networks on graph
2. Data Mining, e.g., anomaly detection
3. AI for Science, e.g., drug discovery, healthcare

1. Anomaly detection Based on Graph Deconvolutional Neural Network, NSFC Youth Program 2023-2025, leading.
2. AutoML Framework to Accelerate Neural Network based Drug and Vaccine Design, HKUST- GZU Joint Research Program, 2022-2023, leading.
3. Graph generation algorithms for molecular de novo design, Tencent Rhino-Bird, 2022-2023, leading.
4. Covid-19 Mobility Research based on Deep Spatial-temporal Graph Neural Networks, Guangzhou Funding Scheme, 2023-2025, leading.

1. Tang, Jianheng; Li, Jiajin; Gao, Ziqi; Li, Jia, “Rethinking Graph Neural Networks for Anomaly Detection,” Proceedings of the 39th International Conference on Machine Learning, v. 162, July 2022, p. 21076-21089

2. Li, Jia; Huang, Yongfeng; Chang, Heng; Rong, Yu, “Semi-Supervised Hierarchical Graph Classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2 September 2022, article number 9875050, p. 1-12

3. Li, Jia; Li, Jiajin; Liu, Yang; Yu, Jianwei; Li, Yueting; Cheng, Hong, “Deconvolutional Networks on Graph Data,” Advances in Neural Information Processing Systems, v. 25, December 2021, p. 21019-21030

4. Li, Jia; Yu, Jianwei; Li, Jiajin; Zhang, Honglei; Zhao, Kangfei; Rong, Yu; Cheng, Hong; Huang, Junzhou, “Dirichlet graph variational autoencoder,” Advances in Neural Information Processing Systems 33, 2020, p. 5274-5283

5. Li, Jia; Han, Zhichao; Cheng, Hong; Su, Jiao; Wang, Pengyun; Zhang, Jianfeng; Pan, Lujia, “Predicting path failure in time-evolving graphs,” In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, July 2019, p. 1279-1289

1. DSAA 5002, Data Mining and Knowledge Discovery in Data Science, Fall 2022
2. DSAA 6000B, Introduction to Graph Learning, Spring 2022

Current RPGs

Doctor of Philosophy:

1. Jianheng Tang, started in Fall 2021
2. Yang Liu, started in Fall 2021
3. Ziqi Gao, started in Spring 2022 
4. Nuo Chen, started in Fall 2022
5. Jiawen Zhang, started in Fall 2022
6. Yifan Niu, started in Fall 2022