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


Jun 01, 2021
Runyu Zhang, Zhaolin Ren, Na Li


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


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


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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


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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


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Explainable Machine Learning based Transform Coding for High Efficiency Intra Prediction


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

* 13 pages, 9 figures 

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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


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


Nov 25, 2020
Yingying Li, Na Li

* NeurIPS 2020 

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Federated LQR: Learning through Sharing


Nov 03, 2020
Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li


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Replay and Synthetic Speech Detection with Res2net Architecture


Oct 28, 2020
Xu Li, Na Li, Chao Weng, Xunying Liu, Dan Su, Dong Yu, Helen Meng

* Submitted to ICASSP2021 

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ASCII: ASsisted Classification with Ignorance Interchange


Oct 21, 2020
Jiaying Zhou, Xun Xian, Na Li, Jie Ding

* 12 pages, 6 figures 

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Online Learning and Distributed Control for Residential Demand Response


Oct 11, 2020
Xin Chen, Yingying Li, Jun Shimada, Na Li


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Online Optimal Control with Affine Constraints


Oct 10, 2020
Yingying Li, Subhro Das, Na Li


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


Sep 07, 2020
Chao Zhu, Teng Miao, Tongyu Xu, Tao Yang, Na Li


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


Jun 11, 2020
Guannan Qu, Yiheng Lin, Adam Wierman, Na Li


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Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification


Jun 11, 2020
Xu Li, Na Li, Jinghua Zhong, Xixin Wu, Xunying Liu, Dan Su, Dong Yu, Helen Meng

* Submitted to Interspeech2020 

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A model-based Gait Recognition Method based on Gait Graph Convolutional Networks and Joints Relationship Pyramid Mapping


Apr 27, 2020
Na Li, Xinbo Zhao, Chong Ma

* comments:page 6, pdf; typos corrected. arXiv admin note: text overlap with arXiv:1811.06186, arXiv:1901.06882 by other authors 

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Online Residential Demand Response via Contextual Multi-Armed Bandits


Mar 07, 2020
Xin Chen, Yutong Nie, Na Li


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


Mar 05, 2020
Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Guoping Gao, Fang Zheng, Rui Li, Zhihua Guo, Rong Ma, Jing Yang, Lan Zhang, Xiping Hu, Yumin Li, Bin Hu


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


Feb 20, 2020
Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Xiping Hu, Bin Hu


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


Feb 04, 2020
Yingying Li, Yujie Tang, Runyu Zhang, Na Li


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


Dec 05, 2019
Guannan Qu, Adam Wierman, Na Li


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


Sep 15, 2019
Guannan Qu, Na Li

* 10 pages, 3 figures. Accepted to CDC 2019 

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


Aug 29, 2019
Rui Guo, Ronghua Liu, Na Li, Wei Liu

* 15 pages 

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Learning discriminative features in sequence training without requiring framewise labelled data


May 16, 2019
Jun Wang, Dan Su, Jie Chen, Shulin Feng, Dongpeng Ma, Na Li, Dong Yu

* Accepted in ICASSP 2019 lecture session 

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


Feb 26, 2019
Sindri Magnússon, Hossein Shokri-Ghadikolaei, Na Li


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


Sep 04, 2017
Na Li, Arnaud Martin, Rémi Estival

* 20th International Conference on Information Fusion, Jul 2017, XI'AN, China 

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