Alert button
Picture for Na Li

Na Li

Alert button

Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh

Jun 21, 2021
Na Li, Yao Liu

Figure 1 for Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh
Figure 2 for Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh
Figure 3 for Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh
Figure 4 for Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh
Viaarxiv icon

Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence

Jun 17, 2021
Runyu Zhang, Zhaolin Ren, Na Li

Figure 1 for Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence
Figure 2 for Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence
Viaarxiv icon

Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach

Feb 16, 2021
Junshan Zhang, Na Li, Mehmet Dedeoglu

Figure 1 for Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach
Figure 2 for Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach
Figure 3 for Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach
Figure 4 for Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach
Viaarxiv icon

Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision

Feb 05, 2021
Xin Chen, Guannan Qu, Yujie Tang, Steven Low, Na Li

Figure 1 for Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision
Figure 2 for Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision
Figure 3 for Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision
Figure 4 for Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision
Viaarxiv icon

Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models

Jan 06, 2021
Maryam Motamedi, Na Li, Douglas G. Down, Nancy M. Heddle

Figure 1 for Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
Figure 2 for Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
Figure 3 for Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
Figure 4 for Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
Viaarxiv icon

Explainable Machine Learning based Transform Coding for High Efficiency Intra Prediction

Dec 21, 2020
Na Li, Yun Zhang, C. -C. Jay Kuo

Figure 1 for Explainable Machine Learning based Transform Coding for High Efficiency Intra Prediction
Figure 2 for Explainable Machine Learning based Transform Coding for High Efficiency Intra Prediction
Figure 3 for Explainable Machine Learning based Transform Coding for High Efficiency Intra Prediction
Figure 4 for Explainable Machine Learning based Transform Coding for High Efficiency Intra Prediction
Viaarxiv icon

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings

Dec 04, 2020
Na Li, Zied Bouraoui, Jose Camacho Collados, Luis Espinosa-Anke, Qing Gu, Steven Schockaert

Figure 1 for Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Figure 2 for Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Figure 3 for Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Figure 4 for Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Viaarxiv icon