WHAT I DO

MY INTEREST

Big Data Analytics

Randomized Algorithm, Sampling, Machine Learning, Streaming, GPGPU

Social Network Analysis

Group Query, Social Network Mental Disorder, Social Influence

Data Mining

Frequent Pattern Mining, Data Generation, E-Learning, Healthcare

Multimedia Processing

Super-Resolution, Video Processing, Social Signal Processing

WHAT I DID

MY EXPERIENCE

  • 2016
  • 2015
  • 2013
  • 2009
  • 2007
  • Research Center for Information Technology Innovation, Academia Sinica

    Postdoctoral fellow (August 2015 to July 2016)

  • Graduate Institute of Communication Engineering, National Taiwan University

    Received my PhD degree (2010-2015)
    Dissertation: Sampling, Generation, and Application of Social Networks

  • Department of Computer Science, University of Illinois at Chicago

    Visiting scholar (September 2013 to August 2014)

  • Graduate Institute of Electrical Engineering, National Taiwan University

    Received my MS degree (2007-2009)
    Thesis: A Novel System Structure for Video Upsampling on Mobile Devices pdf

  • Department of Electrical Engineering, National Taiwan University

    Received my BS degree (2003-2007)

MY PORTFOLIO


PROFESSIONAL ACTIVITIES

PC member


International Joint Conferences on Artificial Intelligence (IJCAI), 2016
ACM Multimedia Conference (ACM-MM), 2016
Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2016
International Conference on Information, Process, and Knowledge Management (eKNOW), 2017
NST-ITCOM, 2017


Referee for Journals


Reviewer, IEEE Transactions on Knowledge and Data Engineering, 2016
Reviewer, IEEE Transactions on Services Computing, 2016
Reviewer, IEEE Transactions on Multimedia, 2016
Reviewer, IEEE/ACM Transactions on Networking, 2016
Reviewer, Data and Knowledge Engineering, 2015
Reviewer, Knowledge and Information Systems, 2015-2016
Reviewer, Journal of Modern Computer Networks, 2016-2017


Publications


Journal Articles
[6] H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P. S. Yu, and M.-S. Chen, “A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining,” to appear in IEEE Trans. on Knowledge and Data Engineering (TKDE), 2017.
[5] H.-H. Shuai, D.-N. Yang, C.-Y. Shen, P. S. Yu, and M.-S. Chen, “QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee,” to appear in IEEE Trans. on Big Data, 2017.
[4] C.-C. Chen, M.-S. Chen, and H.-H. Shuai, “Distributed and Scalable Sequential Pattern Mining through Stream Processing,” to appear in Knowledge and Information Systems.
[3] H.-H. Shuai, D.-N. Yang, P. S. Yu, and M.-S. Chen, “A Comprehensive Study on Willingness Maximization for Social Activity Planning with Quality Guarantee,” IEEE Trans. on Knowledge and Data Engineering, volume 28, number 1, pages 2-16, 2016.
[2] Y.-C. Lin, D.-N. Yang, H. H. Shuai, and M.-S. Chen, “Data Acquisition for Probabilistic Nearest-Neighbor Query,” IEEE Trans. on Knowledge and Data Engineering, volume 27, number 2, pages 410-427, February 2015.
[1] H.-H. Shuai, D.-N. Yang, W.-H. Cheng, and M.-S. Chen, “MobiUP: An Upsampling-Based System Architecture for High-Quality Video Streaming on Mobile Devices,” IEEE Trans. on Multimedia, volume 13, number 5, pages 1077-1091, October 2011.

Conference Papers
[12] C.-Y. Shen, L.-H. Huang, D.-N. Yang, H.-H. Shuai, W.-C. Lee and M.-S. Chen, “On Finding Socially Tenuous Groups for Online Social Networks,” ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Research Track Oral Paper (accepting rate = 8.6%)
[11] C.-Y. Shen, H.-H. Shuai, K.-F. Hsu, and M.-S. Chen, “Task-Optimized Group Search for Social Internet of Things,” International Conference on Extending Database Technology (EDBT), 2017. Research Track Full Paper (accepting rate = 21.8%)
[10] H.-J. Hung, H.-H. Shuai, W.-C. Lee, D.-N. Yang, J. Pei, L.-H. Huang, and M.-S. Chen, “When Social Influence Meets Item Inference,” ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016. Research Track Oral Paper (accepting rate = 8.9%)
[9] H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P. S. Yu, and M.-S. Chen, “Mining Social Network Data for Detecting Social Network Mental Disorders,” International World Wide Web Conference (WWW), 2016. Research Track Full Paper (accepting rate = 16%)
[8] H.-H. Shuai, C.-Y. Shen, H.-C. Hsu, D.-N. Yang, C.-K. Chou, J.-H. Lin, and M.-S. Chen, “Revenue Maximization for Telecommunications Company with Social Viral Marketing,” IEEE International Conference on Big Data (BigData), 2015. (regular)
[7] C.-Y. Shen, H.-H. Shuai, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P. S. Yu, and M.-S. Chen, “Forming Online Support Groups for Cognitive Behavior-Related Addictions,” ACM International Conference on Information and Knowledge Management (CIKM), 2015. Research Track Full Paper (accepting rate = 20%)
[6] H.-H. Shuai, D.-N. Yang, P. S. Yu, and M.-S. Chen, "Auto-Sizing Group Optimization for Activity Organization," Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2015. (accepting rate = 22%)
[5] J. Zhang, X. Shi, X. Kong, H.-H. Shuai, P. S. Yu, "Discovering Organizational Correlations from Twitter," International Workshop on Domain Driven Data Mining in IEEE International Conference on Data Mining (ICDM-DDDM), 2014.
[4] L. He, H.-H. Shuai, X. Kong, P. S. Yu, Z. Hao, and X. Yang, "Low-Density Cut based Tree Decomposition for Large-Scale SVM Problems," IEEE International Conference on Data Mining (IEEE ICDM), December 2014. (accepting rate = 19%)
[3] C.-T. Lu, H.-H. Shuai, P. S. Yu, "Identifying Your Customers in Social Networks," ACM International Conference on Information and Knowledge Management (CIKM), 2015. Research Track Full Paper (accepting rate = 21%)
[2] H.-H. Shuai, D.-N. Yang, P. S. Yu, and M.-S. Chen, "Willingness Optimization for Social Group Activity," International Conference on Very Large Data Bases (VLDB), August 2014. (Research Track Full Paper)
[1] H.-H. Shuai, D.-N. Yang, P. S. Yu, C. -Y. Shen, and M.-S. Chen, "On Pattern Preserving Graph Generation," IEEE International Conference on Data Mining (IEEE ICDM), December 2013. Research Track Full Paper (accepting rate = 11.6%)