Zhongfang Zhuang

Staff Research Scientist

Research AreasData Analytics, Machine Learning, and Deep Learning

Zhongfang Zhuang, Visa Research scientist.

Conferences

  1. Zhuang, Z., Kong, X., & Rundensteiner, E. (2019). AMAS: Attention Model for Attributed Sequence Classification. SIAM International Conference on Data Mining, 109-117.
  2. Zhuang, Z. Kong, X., Rundensteiner, E., Zouaoui, J., & Arora, A. (2019). Attributed Sequence Embedding. IEEE International Conference on Big Data.
  3. Zhuang, Z., Kong, X., & Rundensteiner, E. (2018). One-Shot Learning on Attributed Sequences. IEEE International Conference on Big Data, 921-930.
  4. Zhuang, Z., Lei, C., Rundensteiner, E., & Eltabakh, M. (2016). PRO: Preference-Aware Recurring Query Optimization. ACM International on Conference on Information and Knowledge Management, 2191-2196.
  5. Lei, C., Zhuang, Z., Rundensteiner, E. A., & Eltabakh, M. (2015). Shared execution of recurring workloads in MapReduce. Proceedings of the VLDB Endowment, 8(7), 714–725.
  6. Lei, C., Zhuang, Z., Rundensteiner, E. A., & Eltabakh, M. Y. (2014). Redoop infrastructure for recurring big data queries. Proceedings of the VLDB Endowment, 7(13), 1589–1592.