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Shiyu  Wang

Doctoral Stud-Add'l Assgnmt/BW

Shiyu is currently a PhD candidate in Biostatistics at the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University. He is honored to be advised by Dr. Zhaohui (Steve) Qin and Dr. Liang Zhao, working on machine learning and its applications on complex structured data. In particular, he approaches his research in three aspects: (1) develop deep generative models scalable to large-sized data, (2) develop deep generative models for controllable data generation and (3) conduct statistical modeling on biomedical data.

Prior to Emory, Shiyu earned my M.S. in Biostatistics from Yale University in 2019, B.S. in Pharmaceutical Sciences from Fudan University in 2017. Through intensive coursework and research projects at Yale and Emory University, he has gained solid foundation in both theory and applications of statistics and computer science. Shiyu won the NeurIPS 2022 Scholar Award and served as the independent reviewer and PC member for many top-tier conferences including ICML, NeurIPS, AISTATS, KDD and AAAI.

Links: homepageGoogle Scholar and LinkedIn.

Areas of Interest

  • Bayesian Analysis
  • Data Mining
  • Information Technology
  • Machine Learning
  • Network Science
  • Statistical Modeling
  • Statistical Theory

Education

  • B.S. 2017, Fudan University
  • M.S. 2019, Yale University

Publications

  • , , Controllable Data Generation by Deep Learning: A Review, arXiv preprint arXiv:2207.09542, ,
  • , , Deep Generative Model for Periodic Graphs, Conference on Neural Information Processing Systems (NeurIPS 2022), ,
  • , , Graph Neural Networks: Graph Transformation, Graph Neural Networks: Foundations, Frontiers, and Applications, ,
  • , , Multi-objective Deep Data Generation with Correlated Property Control, Conference on Neural Information Processing Systems (NeurIPS 2022), ,
  • , , GraphGT: Machine Learning Datasets for Graph Generation and Transformation, Conference on Neural Information Processing Systems (NeurIPS 2021) Datasets and Benchmarks Track, ,
  • , , Genotypic and Environmental Effects on the Volatile Chemotype of Valeriana jatamansi Jones, Frontiers in plant science, ,