Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages. - Yin Cheng Ng; Pawel M. Chilinski; Ricardo Silva 001 (NIPS, 2016)

A Dynamic Edge Exchangeable Model for Sparse Temporal Networks. - Yin Cheng Ng; Ricardo Silva 001 (CoRR, 2017)

Bayesian Semi-supervised Learning with Graph Gaussian Processes. - Yin Cheng Ng; Nicolò Colombo; Ricardo Silva 001 (NeurIPS, 2018)

Bayesian Semi-supervised Learning with Graph Gaussian Processes. - Yin Cheng Ng; Ricardo Silva 001 (CoRR, 2018)

Transductive Kernels for Gaussian Processes on Graphs. - Yin-Cong Zhi; Felix L. Opolka; Yin Cheng Ng; Pietro Liò; Xiaowen Dong 001 (CoRR, 2022)

Gaussian Processes on Graphs Via Spectral Kernel Learning. - Yin-Cong Zhi; Yin Cheng Ng; Xiaowen Dong 001 (IEEE Trans. Signal Inf. Process. over Networks, 2023)