Shen Shyang Ho

  • 1989 Citations
  • 17 h-Index
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Personal profile

Research interests

Research Expertise:
Data Mining | Artificial Intelligence | Machine Learning | Pattern Recognition

My current research interests are: transfer learning, one-shot learning, computational creativity, spatiotemporal data mining, privacy issues in data mining, machine learning on network/graph data. My projects and investigations are both research-driven and application-driven. The application-driven investigations utilize real-world data such as mobile data from smartphones, crowdsourced sensor data collected using smartphone, factory sensor data, text data (from internet), audio data, image data, and satellite data.

Member of:
Association for Computing Machinery
Institute of Electrical and Electronics Engineers

Honors and Awards:
NASA Postdoctoral Fellowship, 2007-2009.

Recent Academic Projects:
2017 SURP projects: “Histogram-based Conformal Set Predictor with Application to Trajectory-based Object Similarity Search” and “A Knowledge Transfer Framework for Computational Creativity with Application to Music Generation”

Education/Academic qualification

Computer Science, doctorate, George Mason University

Computer Science, Master, George Mason University

Fingerprint Dive into the research topics where Shen Shyang Ho is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Satellites Engineering & Materials Science
Labels Engineering & Materials Science
Support vector machines Engineering & Materials Science
Trajectories Engineering & Materials Science
Data mining Engineering & Materials Science
Parking Engineering & Materials Science
Classifiers Engineering & Materials Science
Gaging Engineering & Materials Science

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

Projects 2018 2021

Research Output 1999 2019

1 Citation (Scopus)

A fractional differential equation model for bike share systems

Graef, J. R., Ho, S. S., Kong, L. & Wang, M., Jan 1 2019, In : Journal of Nonlinear Functional Analysis. 2019, 23.

Research output: Contribution to journalArticle

Historical Data
Fractional Differential Equation
Analytic Solution
Control Problem
Data analysis

A Martingale-based approach for flight behavior anomaly detection

Ho, S. S., Schofield, M., Sun, B., Snouffer, J. & Kirschner, J., Jun 1 2019, Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019. Institute of Electrical and Electronics Engineers Inc., p. 43-52 10 p. 8788752. (Proceedings - IEEE International Conference on Mobile Data Management; vol. 2019-June).

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

Time delay
Random processes

Automated information foraging for sensemaking

Dibona, P. & Ho, S. S., Jan 1 2019, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. Pham, T. (ed.). SPIE, 110060D. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11006).

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

Information retrieval
Semantic Network

Bayesian-based anonymization framework against background knowledge attack in continuous data publishing

Amiri, F., Yazdani, N., Shakery, A. & Ho, S. S., Dec 2019, In : Transactions on Data Privacy. 12, 3, p. 197-225 29 p.

Research output: Contribution to journalArticle

Information Gain
1 Citation (Scopus)

Improving Bayesian network local structure learning via data-driven symmetry correction methods

Zhao, J. & Ho, S. S., Apr 1 2019, In : International Journal of Approximate Reasoning. 107, p. 101-121 21 p.

Research output: Contribution to journalArticle

Structure Learning
Local Structure
Bayesian networks
Bayesian Networks