Dong Liu

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 22

Top Topics

Belief Propagation

Generative Model

Robust Classification

Top Venues

Publications

Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows. CoRR (2021)
Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability. CoRR (2021)
Dong Liu, Ragnar Thobaben, Lars K. Rasmussen
Region-based Energy Neural Network for Approximate Inference. CoRR (2020)
Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows. MLSP (2020)
Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund
Hidden Markov Models for Sepsis Detection in Preterm Infants. ICASSP (2020)
Zuxing Li, György Dán, Dong Liu
A Game Theoretic Analysis of LQG Control under Adversarial Attack. CDC (2020)
Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen
Powering Hidden Markov Model by Neural Network Based Generative Models. ECAI (2020)
Zuxing Li, György Dán, Dong Liu
A Game Theoretic Analysis of LQG Control under Adversarial Attack. CoRR (2020)
Andrea Scotti, Nima N. Moghadam, Dong Liu, Karl Gafvert, Jinliang Huang
Graph Neural Networks for Massive MIMO Detection. CoRR (2020)
Dong Liu, Minh Thành Vu, Zuxing Li, Lars K. Rasmussen
α Belief Propagation for Approximate Inference. CoRR (2020)
Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. IJCNN (2020)
Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue
On Dominant Interference in Random Networks and Communication Reliability. CoRR (2020)
Dong Liu, Viktoria Fodor, Lars Kildehoj Rasmussen
Will Scale-Free Popularity Develop Scale-Free Geo-Social Networks? IEEE Trans. Netw. Sci. Eng. 6 (3) (2019)
Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. CoRR (2019)
Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee
α Belief Propagation as Fully Factorized Approximation. CoRR (2019)
Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue
On Dominant Interference in Random Networks and Communication Reliability. ICC (2019)
Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
Entropy-regularized Optimal Transport Generative Models. ICASSP (2019)
Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen
Powering Hidden Markov Model by Neural Network based Generative Models. CoRR (2019)
Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund
Hidden Markov Models for sepsis detection in preterm infants. CoRR (2019)
Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee
α Belief Propagation as Fully Factorized Approximation. GlobalSIP (2019)
Dong Liu, Chao Wang, Lars K. Rasmussen
Discontinuous Reception for Multiple-Beam Communication. IEEE Access 7 (2019)
Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
Entropy-regularized Optimal Transport Generative Models. CoRR (2018)