Yin Cheng Ng

According to our database, Yin Cheng Ng authored at least 6 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Gaussian Processes on Graphs Via Spectral Kernel Learning.

Yin-Cong Zhi, Yin Cheng Ng, Xiaowen Dong

IEEE Trans. Signal Inf. Process. over Networks, 2023

2022

Transductive Kernels for Gaussian Processes on Graphs.

Yin-Cong Zhi, Felix L. Opolka, Yin Cheng Ng, Pietro Liò, Xiaowen Dong

CoRR, 2022

2018

Bayesian Semi-supervised Learning with Graph Gaussian Processes.

Yin Cheng Ng, Ricardo Silva

CoRR, 2018

Bayesian Semi-supervised Learning with Graph Gaussian Processes.

Yin Cheng Ng, Nicolò Colombo, Ricardo Silva

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

A Dynamic Edge Exchangeable Model for Sparse Temporal Networks.

Yin Cheng Ng, Ricardo Silva

CoRR, 2017

2016

Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages.

Yin Cheng Ng, Pawel M. Chilinski, Ricardo Silva

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016