2019

D’Incecco, Michele and Squartini, Stefano and Zhong, Mingjun (2019) Transfer Learning for Non-Intrusive Load Monitoring. IEEE Transactions on Smart Grid . ISSN 1949-3053

2018

Xu, Xu and Zhong, Mingjun and Guo, Chonghui (2018) A Hyperplane Clustering Algorithm for Estimating the Mixing Matrix in Sparse Component Analysis. Neural Processing Letters, 47 (2). pp. 475-490. ISSN 1370-4621

Zhang, Chaoyun and Zhong, Mingjun and Wang, Zongzuo and Goddard, Nigel and Sutton, Charles (2018) Sequence-to-point learning with neural networks for nonintrusive load monitoring. In: The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2 - 7 February 2018, New Orleans.

Arenz, Oleg and Neumann, Gerhard and Zhong, Mingjun (2018) Efficient Gradient-Free Variational Inference using Policy Search. Proceedings of the 35th International Conference on Machine Learning, 80 . pp. 234-243. ISSN 1938-7228

2017

Xu, Xu and Zhong, Mingjun and Guo, Chonghui (2017) A Hyperplane Clustering Algorithm for Estimating the Mixing Matrix in Sparse Component Analysis. Neural Processing Letters, 47 (475). ISSN 1370-4621

2016

Du, Junfu and Zhong, Mingjun (2016) Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization. Neural Processing Letters, 45 (553). ISSN 1370-4621

Du, Junfu and Zhong, Mingjun (2016) Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization. Neural Processing Letters, 45 (10). pp. 553-562. ISSN 1370-4621

2015

Zhong, Mingjun and Goddard, Nigel and Sutton, Charles (2015) Latent Bayesian melding for integrating individual and population models. In: Advances in Neural Information Processing Systems, 7 - 12 December 2015, Montreal, Canada.

2014

Zhong, Mingjun and Goddard, Nigel and Sutton, Charles (2014) Signal aggregate constraints in additive factorial HMMs, with application to energy disaggregation. In: NIPS Conference on Neural Information Processing Systems, 8 - 13 December 2014, Montreal, Canada.