Dong Liu
Cited by
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Applying LTE-D2D to support V2V communication using local geographic knowledge
Y Ren, C Wang, D Liu, F Liu, E Liu
2015 IEEE 82nd vehicular technology conference (VTC2015-Fall), 1-5, 2015
Graph neural networks for massive MIMO detection
A Scotti, NN Moghadam, D Liu, K Gafvert, J Huang
arXiv preprint arXiv:2007.05703, 2020
Discontinuous reception for multiple-beam communication
D Liu, C Wang, LK Rasmussen
IEEE Access 7, 46931-46946, 2019
Powering hidden markov model by neural network based generative models
D Liu, A Honoré, S Chatterjee, LK Rasmussen
arXiv preprint arXiv:1910.05744, 2019
RSH: A link-addition strategy for capacity enhancement in scale-free networks
D Wang, E Liu, D Liu, X Qu, R Ma, P Wang, X Liu
IEEE Communications Letters 19 (12), 2110-2113, 2015
Bounds on secondary user connectivity in cognitive radio networks
D Liu, E Liu, Y Ren, Z Zhang, R Wang, F Liu
IEEE Communications Letters 19 (4), 617-620, 2015
Cooperative magnetic induction based through-the-earth communication
Z Zhang, E Liu, X Zheng, Y Jian, D Wang, D Liu
2014 IEEE/CIC International Conference on Communications in China (ICCC …, 2014
Hidden Markov Models for sepsis detection in preterm infants
A Honoré, D Liu, D Forsberg, K Coste, E Herlenius, S Chatterjee, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
SSFN--Self Size-estimating Feed-forward Network with Low Complexity, Limited Need for Human Intervention, and Consistent Behaviour across Trials
S Chatterjee, AM Javid, M Sadeghi, S Kikuta, D Liu, PP Mitra, M Skoglund
arXiv preprint arXiv:1905.07111, 2019
Secondary Network Connectivity of Ad Hoc Cognitive Radio Networks
D Liu, E Liu, Z Zhang, R Wang, Y Ren, Y Liu, IWH Ho, X Yin, F Liu
IEEE Communications Letters 18 (12), 2177-2180, 2014
Robust classification using hidden Markov models and mixtures of normalizing flows
A Ghosh, A Honoré, D Liu, GE Henter, S Chatterjee
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
α belief propagation as fully factorized approximation
D Liu, NN Moghadam, LK Rasmussen, J Huang, S Chatterjee
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
Entropy-regularized optimal transport generative models
D Liu, MT Vu, S Chatterjee, LK Rasmussen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Exogenous biological renal support ameliorates renal pathology after ischemia reperfusion injury in elderly mice
D Liu, Z Yin, Q Huang, Y Ren, D Li, L Wang, S Cui, Y Zhang, Y Ning, ...
Aging (Albany NY) 11 (7), 2031, 2019
Effective coverage for the connectivity of magnetic induction-based ad hoc networks
Z Zhang, E Liu, X Qu, D Liu, R Wang, F Liu
2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015
A game theoretic analysis of LQG control under adversarial attack
Z Li, G Dán, D Liu
2020 59th IEEE Conference on Decision and Control (CDC), 1632-1639, 2020
Neural network based explicit mixture models and expectation-maximization based learning
D Liu, MT Vu, S Chatterjee, LK Rasmussen
2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020
Will scale-free popularity develop scale-free geo-social networks?
D Liu, V Fodor, LK Rasmussen
IEEE Transactions on Network Science and Engineering 6 (3), 587-598, 2018
Normalizing flow based hidden Markov models for classification of speech phones with explainability
A Ghosh, A Honoré, D Liu, GE Henter, S Chatterjee
arXiv preprint arXiv:2107.00730, 2021
Region-based energy neural network for approximate inference
D Liu, R Thobaben, LK Rasmussen
arXiv preprint arXiv:2006.09927, 2020
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