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Dong Liu 0009
Person information
- affiliation: KTH Royal Institute of Technology, Division of Information Science and Engineering, Stockholm, Sweden
Other persons with the same name
- Dong Liu — disambiguation page
- Dong Liu 0001 — Columbia University, Department of Electrical Engineering, New York, NY, USA (and 1 more)
- Dong Liu 0002 — University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China
- Dong Liu 0003 — Beihang University, School of Electronics and Information Engineering, Beijing, China
- Dong Liu 0004 — Renmin University of China, Department of Psychology, China
- Dong Liu 0005 — Tongji University, School of Electronics and Information, Shanghai, China
- Dong Liu 0006 — Aalborg University, Department of Energy Technology, Denmark (and 1 more)
- Dong Liu 0007 — University of Science and Technology of China, Department of Modern Physics, CAS Key Laboratory of Microscale Magnetic Resonance, Hefei, China
- Dong Liu 0008 — Henan Normal University, School of Computer Science and Technology, Xinxiang, China (and 1 more)
- Dong Liu 0010 — Nantong University, Jiangsu Key Laboratory of Neuroregeneration, Nantong, China
- Dong Liu 0011 — Dalian University of Technology, School of Mechanical Engineering, Dalian, China (and 2 more)
- Dong Liu 0012 — Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong
- Dong Liu 0013 — Shenyang Aerospace University, China (and 1 more)
- Dong Liu 0014 — IBM China Research Laboratory, Beijing, China
- Dong Liu 0015 — The Open University, Knowledge Media Institute, Milton Keynes, UK
- Dong Liu 0016 — Michigan State University, National Superconducting Cyclotron Laboratory, East Lansing, MI, USA (and 2 more)
- Dong Liu 0017 — Jinan University, Department of Computer Science, Guangzhou, China
- Dong Liu 0018 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Key Laboratory of Control of Power Transmission and Conversion, Shanghai, China
- Dong Liu 0019 — Global Energy Interconnection Research Institute Co., State Key Laboratory of Advanced Power Transmission Technology, Beijing, China
- Dong Liu 0020 — Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation, Hangzhou, China
- Dong Liu 0021 — Shandong Youth University of Political Science, School of Information Engineering, Jinan, China
- Dong Liu 0022 — Key Lab of National Defense Technology, Academy of Equipment Command and Technology, Beijing, China (and 1 more)
- Dong Liu 0023 — Yunnan University, School of Information, Kunming, China
- Dong Liu 0024 — Wuhan University of Science and technology, School of Computer Science and Technology, China
- Dong Liu 0025 — Dalian University of Technology, School of Software, China (and 1 more)
- Dong Liu 0026 — TiMi Studio Group, Shenzhen, China
- Dong Liu 0027 — Xiangnan University, School of Computer and Artificial Intelligence, Chenzhou, China (and 2 more)
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2020 – today
- 2021
- [i12]Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee:
Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows. CoRR abs/2102.07284 (2021) - [i11]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 abs/2107.00730 (2021) - 2020
- [b1]Dong Liu:
Perspectives on Probabilistic Graphical Models. KTH Royal Institute of Technology, Stockholm, Sweden, 2020 - [c8]Zuxing Li, György Dán, Dong Liu:
A Game Theoretic Analysis of LQG Control under Adversarial Attack. CDC 2020: 1632-1639 - [c7]Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen:
Powering Hidden Markov Model by Neural Network Based Generative Models. ECAI 2020: 1324-1331 - [c6]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: 1130-1134 - [c5]Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen:
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. IJCNN 2020: 1-10 - [c4]Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee:
Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows. MLSP 2020: 1-6 - [i10]Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue:
On Dominant Interference in Random Networks and Communication Reliability. CoRR abs/2003.01433 (2020) - [i9]Dong Liu, Ragnar Thobaben, Lars K. Rasmussen:
Region-based Energy Neural Network for Approximate Inference. CoRR abs/2006.09927 (2020) - [i8]Dong Liu, Minh Thành Vu, Zuxing Li, Lars K. Rasmussen:
α Belief Propagation for Approximate Inference. CoRR abs/2006.15363 (2020) - [i7]Andrea Scotti, Nima N. Moghadam, Dong Liu, Karl Gafvert, Jinliang Huang:
Graph Neural Networks for Massive MIMO Detection. CoRR abs/2007.05703 (2020) - [i6]Zuxing Li, György Dán, Dong Liu:
A Game Theoretic Analysis of LQG Control under Adversarial Attack. CoRR abs/2009.02877 (2020)
2010 – 2019
- 2019
- [j2]Dong Liu, Chao Wang, Lars K. Rasmussen:
Discontinuous Reception for Multiple-Beam Communication. IEEE Access 7: 46931-46946 (2019) - [j1]Dong Liu, Viktoria Fodor, Lars Kildehoj Rasmussen:
Will Scale-Free Popularity Develop Scale-Free Geo-Social Networks? IEEE Trans. Netw. Sci. Eng. 6(3): 587-598 (2019) - [c3]Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee:
α Belief Propagation as Fully Factorized Approximation. GlobalSIP 2019: 1-5 - [c2]Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen:
Entropy-regularized Optimal Transport Generative Models. ICASSP 2019: 3532-3536 - [c1]Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue:
On Dominant Interference in Random Networks and Communication Reliability. ICC 2019: 1-7 - [i5]Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen:
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. CoRR abs/1907.13432 (2019) - [i4]Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee:
α Belief Propagation as Fully Factorized Approximation. CoRR abs/1908.08906 (2019) - [i3]Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen:
Powering Hidden Markov Model by Neural Network based Generative Models. CoRR abs/1910.05744 (2019) - [i2]Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund:
Hidden Markov Models for sepsis detection in preterm infants. CoRR abs/1910.13904 (2019) - 2018
- [i1]Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen:
Entropy-regularized Optimal Transport Generative Models. CoRR abs/1811.06763 (2018)
Coauthor Index
aka: Lars Kildehoj Rasmussen
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last updated on 2024-11-18 20:49 CET by the dblp team
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