Yin Cheng Ng

Learning patterns from sequential and network data using probabilistic models

Yin Cheng Ng, 2019 .

Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages

Ricardo Silva, Yin Cheng Ng, Pawel M. Chilinski, 2016, NIPS.

Gaussian Processes on Graphs Via Spectral Kernel Learning pdf

Xiaowen Dong, Yin Cheng Ng, Yin-Cong Zhi, 2020, IEEE Transactions on Signal and Information Processing over Networks.

A Dynamic Edge Exchangeable Model for Sparse Temporal Networks pdf

Ricardo Silva, Yin Cheng Ng, Ricardo Silva, 2017, ArXiv.

Bayesian Semi-supervised Learning with Graph Gaussian Processes

Yin Cheng Ng, Ricardo Silva, Ricardo Silva, 2018, NeurIPS.

Transductive Kernels for Gaussian Processes on Graphs

Yin Cheng Ng, Felix L. Opolka, Xiaowen Dong, 2022, ArXiv.