Projects per year
Personal profile
Education
- 2013 PhD, Computer Science, GINM, National Taiwan University
Research Interests
- Big data mining and analytics
- Internet-of-Things and urban computing applications
- Machine learning
- Social network analysis
Experience
- 2014/03 ~ 2014/06 ?Postdoctoral Fellow, Institute of Information Science, Academia Sinica
- 2014/06 ~ 2016/07 ?Assistant Research Fellow, Research Center for Information Technology Innovation, Academia Sinica
- 2016/05 ~ 2016/07 ?Visiting Scholar, Department of Computer Science, University of Luxembourg
- 2016/08~ present Assistant Professor, Department of Statistics, National Cheng Kung University
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):
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Projects
- 6 Finished
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CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding
Hsieh, I. C. & Li, C. T., 2023 Jan 1, In: IEEE Transactions on Knowledge and Data Engineering. 35, 1, p. 167-180 14 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks
Hsu, Y. L., Tsai, Y. C. & Li, C. T., 2023 Jan 1, In: IEEE Transactions on Knowledge and Data Engineering. 35, 1, p. 469-481 13 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Hierarchical message-passing graph neural networks
Zhong, Z., Li, C. T. & Pang, J., 2023 Jan, In: Data Mining and Knowledge Discovery. 37, 1, p. 381-408 28 p.Research output: Contribution to journal › Article › peer-review
Open Access -
NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data
Hsieh, I. C. & Li, C. T., 2023 Jan 1, In: IEEE Transactions on Knowledge and Data Engineering. 35, 1, p. 796-809 14 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding
Hsieh, I. C. & Li, C. T., 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE Computer Society, p. 1567-1568 2 p. (Proceedings - International Conference on Data Engineering; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution