Rui Luo

According to our database1, Rui Luo authored at least 32 papers between 2001 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning.
Appl. Math. Comput., 2020

Adaptive Regularized Semi-Supervised Clustering Ensemble.
IEEE Access, 2020

Research on the Regeneration Braking Energy Feedback System of Urban Rail Transit.
IEEE Trans. Vehicular Technology, 2019

A weakly supervised adaptive triplet loss for deep metric learning.
CoRR, 2019

Wasserstein Robust Reinforcement Learning.
CoRR, 2019

Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets.
CoRR, 2019

MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

DCCL: A Benchmark for Cervical Cytology Analysis.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Automatic Radiology Report Generation Based on Multi-view Image Fusion and Medical Concept Enrichment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Model-Free Reinforcement Learning based Lateral Control for Lane Keeping.
Proceedings of the International Joint Conference on Neural Networks, 2019

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models.
Proceedings of the IEEE International Conference on Acoustics, 2019

Research on the Unbalanced Compensation of Delta-Connected Cascaded H-Bridge Multilevel SVG.
IEEE Trans. Industrial Electronics, 2018

An integrated method for interdisciplinary topic identification and prediction: a case study on information science and library science.
Scientometrics, 2018

Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling.
CoRR, 2018

Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series.
CoRR, 2018

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Mean Field Multi-Agent Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

A wireless, smartphone controlled, battery powered, head mounted light delivery system for optogenetic stimulation.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Neural Stochastic Volatility Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Optical propagation of blue LED light in brain tissue and Parylene-C.
Proceedings of the 12th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2017

Bilevel Fuzzy Chance Constrained Hospital Outpatient Appointment Scheduling Model.
Scientific Programming, 2016

Construction of Quasi-Cyclic LDPC Codes via Masking With Successive Cycle Elimination.
IEEE Communications Letters, 2016

Learning text representation using recurrent convolutional neural network with highway layers.
CoRR, 2016

A new attempt of white-box AES implementation.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

A Robust Iterative Algorithm for Parameter Estimation of the Generalized Gamma Distribution.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

Fast AVS to HEVC transcoding based on ROI detection using visual characteristics.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

Is My Network Module Preserved and Reproducible?
PLoS Computational Biology, 2011

Constructing data mining model of five viscera correlation theory of Myasthenia Gravis based on rough set and association rules.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Emotion generation for virtual human using Cognitive Map.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Clustering Categorical Data Based on Maximal Frequent Itemsets.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Capacity evaluation of packet-switched CDMA system.
IEEE Communications Letters, 2001