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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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Cheng-Te Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
Projects
- 6 Finished
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A Trope-Based Computational Approach to Participatory Propaganda Analysis
Niven, T. S., Li, C. T. & Lin, Y. R., 2026, In: IEEE Transactions on Technology and Society. 7, 1, p. 47-59 13 p.Research output: Contribution to journal › Article › peer-review
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Automatic Tagging of Foreign Information Manipulation and Interference Incidents With DISARM Tactics, Techniques, and Procedures
Niven, T. S. & Li, C. T., 2026, In: IEEE Access. 14, p. 6364-6377 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Fortifying Robustness in Graph Neural Networks: A Loss Correction Approach to Mitigate Label Noise
Hsieh, I. C. & Li, C. T., 2026, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems.Research output: Contribution to journal › Article › peer-review
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Old Roots, Fresh Fruits: Clickbait Detection with Effective Model Design Choices on Social Media
Tseng, Y. M. & Li, C. T., 2026, Social Networks Analysis and Mining - 17th International Conference, ASONAM 2025, Proceedings. An, A., Cuzzocrea, A. & Hu, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 75-85 11 p. (Lecture Notes in Computer Science; vol. 16323 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation
Chuang, Y. N. & Li, C. T., 2026 Jan, In: ACM Transactions on Knowledge Discovery from Data. 20, 1, 8.Research output: Contribution to journal › Article › peer-review