The finalists of the 2019 QSR Best Paper Competition are (in alphabetical order):
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, and Na Zou, "Spectral Autoencoder for Anomaly Detection in Attributed Networks".
Zhanlin Liu, Ashis G. Banerjee, and Youngjun Choe, "Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion".
Changyue Song, Kaibo Liu, Xi Zhang, "Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks". (WINNER)
Chao Wang, Xiaojin Zhu, Shiyu Zhou, Yingqing Zhou, "Transfer Learning using Informative Structure Priors in Ordered Graphical Models".
The finalists of the 2019 QSR Best Student Paper Competition are (in alphabetical order):
Xiao Huang, Texas A&M University, "Heterogeneous Information Learning in Large-Scale Networks".
Rajitha Meka, University of Texas at San Antonio, "An Active Learning Methodology for Efficient Estimation of Noisy Black-Box Functions using Gaussian Process Regression".
Liyan Xie, Georgia Institute of Technology, "Online Sequential Subspace Change-point Detection".
Zhen Zhong, Georgia Institute of Technology, "Image-Based Process Control Using Tensor Analysis". (WINNER)