Dong Liu - RankMe

24 papers A 1B 1Misc 2Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Iterative Reranking as a Compute-Scaling Method for LLM-Based Rankers. ECIR (4) Tamara Czinczoll, Dong Liu, Filippo Betello
2021	J	`jnl`	Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability. CoRR Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
2021	J	`jnl`	Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows. CoRR Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
2020	—	`conf`	A Game Theoretic Analysis of LQG Control under Adversarial Attack. CDC Zuxing Li, György Dán, Dong Liu
2020	J	`jnl`	A Game Theoretic Analysis of LQG Control under Adversarial Attack. CoRR Zuxing Li, György Dán, Dong Liu
2020	J	`jnl`	Graph Neural Networks for Massive MIMO Detection. CoRR Andrea Scotti, Nima N. Moghadam, Dong Liu, Karl Gafvert, Jinliang Huang
2020	Misc	`conf`	Hidden Markov Models for Sepsis Detection in Preterm Infants. ICASSP Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund
2020	B	`conf`	Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. IJCNN Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
2020	J	`jnl`	On Dominant Interference in Random Networks and Communication Reliability. CoRR Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue
2020	—	`—`	Perspectives on Probabilistic Graphical Models. Dong Liu
2020	A	`conf`	Powering Hidden Markov Model by Neural Network Based Generative Models. ECAI Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen
2020	J	`jnl`	Region-based Energy Neural Network for Approximate Inference. CoRR Dong Liu, Ragnar Thobaben, Lars K. Rasmussen
2020	—	`conf`	Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows. MLSP Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
2020	J	`jnl`	α Belief Propagation for Approximate Inference. CoRR Dong Liu, Minh Thành Vu, Zuxing Li, Lars K. Rasmussen
2019	J	`jnl`	Discontinuous Reception for Multiple-Beam Communication. IEEE Access Dong Liu, Chao Wang, Lars K. Rasmussen
2019	Misc	`conf`	Entropy-regularized Optimal Transport Generative Models. ICASSP Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
2019	J	`jnl`	Hidden Markov Models for sepsis detection in preterm infants. CoRR Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund
2019	J	`jnl`	Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. CoRR Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
2019	—	`conf`	On Dominant Interference in Random Networks and Communication Reliability. ICC Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue
2019	J	`jnl`	Powering Hidden Markov Model by Neural Network based Generative Models. CoRR Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen
2019	J	`jnl`	Will Scale-Free Popularity Develop Scale-Free Geo-Social Networks? IEEE Trans. Netw. Sci. Eng. Dong Liu, Viktoria Fodor, Lars Kildehoj Rasmussen
2019	—	`conf`	α Belief Propagation as Fully Factorized Approximation. GlobalSIP Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee
2019	J	`jnl`	α Belief Propagation as Fully Factorized Approximation. CoRR Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee
2018	J	`jnl`	Entropy-regularized Optimal Transport Generative Models. CoRR Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen