Cheng-Te Li

Associate Professor

  • 570 Citations
  • 12 h-Index
20072020
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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

Fingerprint 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.

  • 5 Similar Profiles
Labels Engineering & Materials Science
Experiments Engineering & Materials Science
Recommender systems Engineering & Materials Science
Social Networks Mathematics
Location based services Engineering & Materials Science
Planning Engineering & Materials Science
Crime Engineering & Materials Science
Visualization Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2017 2020

Research Output 2007 2019

A check-in shielding scheme against acquaintance inference in location-based social networks

Chen, B. H., Li, C. T. & Chuang, K. T., 2019 Nov 1, In : World Wide Web. 22, 6, p. 2321-2354 34 p.

Research output: Contribution to journalArticle

Shielding
Experiments
1 Citation (Scopus)

An active learning-based approach for location-aware acquaintance inference

Chen, B. H., Li, C. T., Chuang, K. T., Pang, J. & Zhang, Y., 2019 Jun 4, In : Knowledge and Information Systems. 59, 3, p. 539-569 31 p.

Research output: Contribution to journalArticle

Labeling
Recommender systems
Mobile devices
Feedback
Sensors

FineNet: A joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items

Tsai, Y. C., Chen, C. Y., Ma, S. L., Wang, P. C., Chen, Y. J., Chang, Y. C. & Li, C. T., 2019 Sep 10, RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 536-537 2 p. (RecSys 2019 - 13th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Time series
Neural networks
Learning systems
Industry
1 Citation (Scopus)
Tie
Social Networks
Feature Modeling
Mobile devices
Energy conservation

Learning sleep quality from daily logs

Park, S., Hsu, C., Li, C. T., Lee, S. W., Han, S. & Cha, M., 2019 Jul 25, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2421-2429 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data mining
Time series
Health
Neural networks
Psychiatry

Thesis

基於特徵表示學習之異質性社群媒體項目興衰預測

Author: 欣瑜, 陳., 2018 Jul 11

Supervisor: Li, C. (Supervisor)

Student thesis: Master's Thesis

社群網路最具影響力小編探勘及其貼文時間規劃

Author: 婕禎, 夏., 2018 Jul 26

Supervisor: Li, C. (Supervisor)

Student thesis: Master's Thesis