Mingjun Zhong

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 37

Top Topics

Variational Inference

Visual Representations

Top Venues

BuildSys@SenSys

Reliab. Eng. Syst. Saf.

Publications

Miles Everett, Aiden Durrant, Mingjun Zhong, Georgios Leontidis
Capsule Network Projectors are Equivariant and Invariant Learners. CoRR (2024)
Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations. CoRR (2024)
Miles Everett, Mingjun Zhong, Georgios Leontidis
Masked Capsule Autoencoders. CoRR (2024)
Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination methods. Trans. Mach. Learn. Res. 2024 (2024)
Anthony Mbata, Yaji Sripada, Mingjun Zhong
A Survey of Pipeline Tools for Data Engineering. CoRR (2024)
Songyue Lin, Xuejiang Hao, Yan Liu, Dong Yan, Jianwei Liu, Mingjun Zhong
Lightweight deep learning methods for panoramic dental X-ray image segmentation. Neural Comput. Appl. 35 (11) (2023)
Miles Everett, Mingjun Zhong, Georgios Leontidis
Vanishing Activations: A Symptom of Deep Capsule Networks. CoRR (2023)
Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong
Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination. CoRR (2023)
Miles Everett, Mingjun Zhong, Georgios Leontidis
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method. CoRR (2023)
Shuyi Chen, Bochao Zhao, Mingjun Zhong, Wenpeng Luan, Yixin Yu
Nonintrusive Load Monitoring Based on Self-Supervised Learning. IEEE Trans. Instrum. Meas. 72 (2023)
Miles Everett, Mingjun Zhong, Georgios Leontidis
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method. Trans. Mach. Learn. Res. 2023 (2023)
Zhenyu Lu, Yurong Cheng, Mingjun Zhong, George Stoian, Ye Yuan, Guoren Wang
Causal Effect Estimation Using Variational Information Bottleneck. WISA (2022)
Zhenyu Lu, Yurong Cheng, Mingjun Zhong, Wenpeng Luan, Yuan Ye, Guoren Wang
LightNILM: lightweight neural network methods for non-intrusive load monitoring. BuildSys@SenSys (2022)
Baili Zhang, Keke Ling, Pei Zhang, Zhao Zhang, Mingjun Zhong
Algorithms to Calculate the Most Reliable Maximum Flow in Content Delivery Network. Comput. Syst. Sci. Eng. 41 (2) (2022)
Siyao An, Tianhao Wang, Lirui Wang, Mingjun Zhong, Baili Zhang
A Semantic Representation Scheme for Medical Dispute Judgment Documents Based on Elements Extraction. ICAIS (2) (2022)
Yongjin Guo, Hongdong Wang, Yu Guo, Mingjun Zhong, Qing Li, Chao Gao
System operational reliability evaluation based on dynamic Bayesian network and XGBoost. Reliab. Eng. Syst. Saf. 225 (2022)
Baili Zhang, Kejie Wen, Jianhua Lu, Mingjun Zhong
A Top-K QoS-Optimal Service Composition Approach Based on Service Dependency Graph. J. Organ. End User Comput. 33 (3) (2021)
Zhenyu Lu, Yurong Cheng, Mingjun Zhong, George Stoian, Ye Yuan, Guoren Wang
Causal Effect Estimation using Variational Information Bottleneck. CoRR (2021)
Yongjin Guo, Mingjun Zhong, Chao Gao, Hong Dong Wang, Xiaofeng Liang, Hong Yi
A discrete-time Bayesian network approach for reliability analysis of dynamic systems with common cause failures. Reliab. Eng. Syst. Saf. 216 (2021)
Michele D'Incecco, Stefano Squartini, Mingjun Zhong
Transfer Learning for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 11 (2) (2020)
Jack Barber, Heriberto Cuayáhuitl, Mingjun Zhong, Wenpeng Luan
Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning. NILM@SenSys (2020)
Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor
AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation. Inf. Sci. 515 (2020)
Oleg Arenz, Mingjun Zhong, Gerhard Neumann
Trust-Region Variational Inference with Gaussian Mixture Models. J. Mach. Learn. Res. 21 (2020)
Michele D'Incecco, Stefano Squartini, Mingjun Zhong
Transfer Learning for Non-Intrusive Load Monitoring. CoRR (2019)
Nipun Batra, Rithwik Kukunuri, Ayush Pandey, Raktim Malakar, Rajat Kumar, Odysseas Krystalakos, Mingjun Zhong, Paulo Meira, Oliver Parson
Towards reproducible state-of-the-art energy disaggregation. BuildSys@SenSys (2019)
Oleg Arenz, Mingjun Zhong, Gerhard Neumann
Trust-Region Variational Inference with Gaussian Mixture Models. CoRR (2019)
Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation. CoRR (2019)
Nipun Batra, Rithwik Kukunuri, Ayush Pandey, Raktim Malakar, Rajat Kumar, Odysseas Krystalakos, Mingjun Zhong, Paulo Meira, Oliver Parson
A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK. BuildSys@SenSys (2019)
Ruosi Wan, Mingjun Zhong, Haoyi Xiong, Zhanxing Zhu
Neural Control Variates for Monte Carlo Variance Reduction. ECML/PKDD (2) (2019)
Zhanxing Zhu, Ruosi Wan, Mingjun Zhong
Neural Control Variates for Variance Reduction. CoRR (2018)
Xu Xu, Mingjun Zhong, Chonghui Guo
A Hyperplane Clustering Algorithm for Estimating the Mixing Matrix in Sparse Component Analysis. Neural Process. Lett. 47 (2) (2018)
Oleg Arenz, Mingjun Zhong, Gerhard Neumann
Efficient Gradient-Free Variational Inference using Policy Search. ICML (2018)
Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. AAAI (2018)
Hong Tang, Huaming Chen, Ting Li, Mingjun Zhong
Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network. CoRR (2018)
Junfu Du, Mingjun Zhong
Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization. Neural Process. Lett. 45 (2) (2017)
Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton
Sequence-to-point learning with neural networks for nonintrusive load monitoring. CoRR (2016)
Hong Tang, Huaming Chen, Ting Li, Mingjun Zhong
Classification of Normal/Abnormal Heart Sound Recordings based on Multi-Domain Features and Back Propagation Neural Network. CinC (2016)
Mingjun Zhong, Nigel H. Goddard, Charles Sutton
Latent Bayesian melding for integrating individual and population models. NIPS (2015)
Mingjun Zhong, Nigel H. Goddard, Charles Sutton
Latent Bayesian melding for integrating individual and population models. CoRR (2015)
Mingjun Zhong, Nigel H. Goddard, Charles Sutton
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation. NIPS (2014)
Maurizio Filippone, Mingjun Zhong, Mark A. Girolami
A comparative evaluation of stochastic-based inference methods for Gaussian process models. Mach. Learn. 93 (1) (2013)
Mingjun Zhong, Mark A. Girolami
A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices CoRR (2012)
Mingjun Zhong, Mark A. Girolami
A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices. ICML (2012)
Mingjun Zhong, Rong Liu, Bo Liu
Bayesian Analysis for miRNA and mRNA Interactions Using Expression Data CoRR (2012)
Mingjun Zhong, Mark A. Girolami
Reversible Jump MCMC for Non-Negative Matrix Factorization. AISTATS (2009)
Mingjun Zhong, Fabien Lotte, Mark A. Girolami, Anatole Lécuyer
Classifying EEG for brain computer interfaces using Gaussian processes. Pattern Recognit. Lett. 29 (3) (2008)
Qiang Guo, Jian-Guo Liu, Mingjun Zhong
Scale-free network model under exogenous pressures. Int. J. Model. Identif. Control. 3 (1) (2008)
Mingjun Zhong, Junfu Du
A parametric density model for blind source separation. Neural Process. Lett. 25 (3) (2007)
Mark A. Girolami, Mingjun Zhong
Data Integration for Classification Problems Employing Gaussian Process Priors. NIPS (2006)
Mingjun Zhong
A variational method for learning sparse Bayesian regression. Neurocomputing 69 (16-18) (2006)
Mingjun Zhong, Huanwen Tang, Yiyuan Tang
Expectation-Maximization approaches to independent component analysis. Neurocomputing 61 (2004)
Mingjun Zhong, Huanwen Tang, Hongjun Chen, Yiyuan Tang
An EM algorithm for learning sparse and overcomplete representations. Neurocomputing 57 (2004)