b'Na Li'

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

Platelet products are both expensive and have very short shelf lives. As...
01/06/2021 ∙ by Maryam Motamedi, et al. ∙ 0 ∙ share

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Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings

While the success of pre-trained language models has largely eliminated ...
12/04/2020 ∙ by Na Li, et al. ∙ 0 ∙ share

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On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner

Author disambiguation arises when different authors share the same name,...
11/29/2020 ∙ by Na Li, et al. ∙ 0 ∙ share

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Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms

We consider online convex optimization with time-varying stage costs and...
11/25/2020 ∙ by Yingying Li, et al. ∙ 0 ∙ share

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Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems

We consider a class of multi-agent optimization problems, where each age...
11/19/2020 ∙ by Yujie Tang, et al. ∙ 0 ∙ share

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Federated LQR: Learning through Sharing

In many multi-agent reinforcement learning applications such as flocking...
11/03/2020 ∙ by Zhaolin Ren, et al. ∙ 0 ∙ share

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Replay and Synthetic Speech Detection with Res2net Architecture

Existing approaches for replay and synthetic speech detection still lack...
10/28/2020 ∙ by Xu Li, et al. ∙ 0 ∙ share

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ASCII: ASsisted Classification with Ignorance Interchange

The rapid development in data collecting devices and computation platfor...
10/21/2020 ∙ by Jiaying Zhou, et al. ∙ 0 ∙ share

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Online Learning and Distributed Control for Residential Demand Response

This paper studies the automated control method for regulating air condi...
10/11/2020 ∙ by Xin Chen, et al. ∙ 0 ∙ share

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Online Optimal Control with Affine Constraints

This paper considers online optimal control with affine constraints on t...
10/10/2020 ∙ by Yingying Li, et al. ∙ 0 ∙ share

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Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud

Nowadays, there are many approaches to acquire three-dimensional (3D) po...
09/07/2020 ∙ by Chao Zhu, et al. ∙ 8 ∙ share

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A decision integration strategy for short-term demand forecasting and ordering for red blood cell components

Blood transfusion is one of the most crucial and commonly administered t...
08/17/2020 ∙ by Na Li, et al. ∙ 0 ∙ share

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Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward

It has long been recognized that multi-agent reinforcement learning (MAR...
06/11/2020 ∙ by Guannan Qu, et al. ∙ 0 ∙ share

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Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification

Recently adversarial attacks on automatic speaker verification (ASV) sys...
06/11/2020 ∙ by Xu Li, et al. ∙ 0 ∙ share

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Online Residential Demand Response via Contextual Multi-Armed Bandits

Residential load demands have huge potential to be exploited to enhance ...
03/07/2020 ∙ by Xin Chen, et al. ∙ 8 ∙ share

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MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis

According to the World Health Organization, the number of mental disorde...
02/20/2020 ∙ by Hanshu Cai, et al. ∙ 0 ∙ share

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MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis

According to the World Health Organization, the number of mental disorde...
02/20/2020 ∙ by Hanshu Cai, et al. ∙ 0 ∙ share

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Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap

Cyberphysical systems (CPS) are ubiquitous in our personal and professio...
12/20/2019 ∙ by Somali Chaterji, et al. ∙ 0 ∙ share

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Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach

This paper considers a distributed reinforcement learning problem for de...
12/19/2019 ∙ by Yingying Li, et al. ∙ 0 ∙ share

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Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems

We study reinforcement learning (RL) in a setting with a network of agen...
12/05/2019 ∙ by Guannan Qu, et al. ∙ 0 ∙ share

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Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure

This paper considers a multi-agent Markov Decision Process (MDP), where ...
09/15/2019 ∙ by Guannan Qu, et al. ∙ 0 ∙ share

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DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images

Current VHR(Very High Resolution) satellite images enable the detailed m...
08/29/2019 ∙ by Rui Guo, et al. ∙ 6 ∙ share

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On Energy Compaction of 2D Saab Image Transforms

The block Discrete Cosine Transform (DCT) is commonly used in image and ...
08/28/2019 ∙ by Na Li, et al. ∙ 0 ∙ share

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Learning discriminative features in sequence training without requiring framewise labelled data

In this work, we try to answer two questions: Can deeply learned feature...
05/16/2019 ∙ by Jun Wang, et al. ∙ 0 ∙ share

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On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication

In parallel and distributed machine learning multiple nodes or processor...
02/26/2019 ∙ by Sindri Magnússon, et al. ∙ 0 ∙ share

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An automatic water detection approach based on Dempster-Shafer theory for multi spectral images

Detection of surface water in natural environment via multi-spectral ima...
08/09/2017 ∙ by Na Li, et al. ∙ 0 ∙ share

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Groups of Repairmen and Repair-based Load Balancing in Supermarket Models with Repairable Servers

Supermarket models are a class of interesting parallel queueing networks...
03/26/2017 ∙ by Na Li, et al. ∙ 0 ∙ share

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Na Li

Featured Co-authors

Wei Liu

Jun Wang

Jie Chen

C. -C. Jay Kuo

Dong Yu

Xiangnan He

Xin Chen

Steven Schockaert

Jie Ding

Arnaud Martin

Bin Hu

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

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings

On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner

Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms

Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems

Federated LQR: Learning through Sharing

Replay and Synthetic Speech Detection with Res2net Architecture

ASCII: ASsisted Classification with Ignorance Interchange

Online Learning and Distributed Control for Residential Demand Response

Online Optimal Control with Affine Constraints

Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud

A decision integration strategy for short-term demand forecasting and ordering for red blood cell components

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward

Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification

Online Residential Demand Response via Contextual Multi-Armed Bandits

MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis

MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis

Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach

Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems

Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure

DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images

On Energy Compaction of 2D Saab Image Transforms

Learning discriminative features in sequence training without requiring framewise labelled data

On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication

An automatic water detection approach based on Dempster-Shafer theory for multi spectral images

Groups of Repairmen and Repair-based Load Balancing in Supermarket Models with Repairable Servers