Xinghao Qiao

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 7

Top Topics

Probabilistic Graphical Models

Hierarchical Dirichlet Process

Belief Propagation

Top Venues

Publications

Yirui Liu, Xinghao Qiao, Yulong Pei, Liying Wang
DF2M: An Explainable Deep Bayesian Nonparametric Model for High-Dimensional Functional Time Series. CoRR (2023)
Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model. AISTATS (2023)
Jones Yirui Liu, Xinghao Qiao, Jessica Lam
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models. AISTATS (2022)
Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam
EEGNN: Edge Enhanced Graph Neural Networks. CoRR (2022)
Jones Yirui Liu, Xinghao Qiao
Conditional Variational Inference with Adaptive Truncation for Bayesian Nonparametric Models. CoRR (2020)
Xiuguo Zhang, Shuo Jiang, Xinghao Qiao, Zhiying Cao, Liangjun Zhang
Critical Components Identification for Service-Oriented Systems. Symmetry 11 (3) (2019)
Zhiying Cao, Xinghao Qiao, Shuo Jiang, Xiuguo Zhang
An Efficient Knowledge-Graph-Based Web Service Recommendation Algorithm. Symmetry 11 (3) (2019)
Gareth M. James, Wenguang Sun, Xinghao Qiao
Comment. Technometrics 54 (2) (2012)