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Qiong Wu

Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning


Jul 30, 2021
Hongbiao Zhu, Qiong Wu, Xiaojun Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang

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* This paper has been submitted to IEEE journal 
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Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control


Jan 21, 2021
Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen, Junshan Zhang

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* Accepted by IEEE/ACM Transactions on Networking, Jan. 2021 
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FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring


Dec 14, 2020
Qiong Wu, Xu Chen, Zhi Zhou, Junshan Zhang

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* Accepted by IEEE Transactions on Mobile Computing 
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Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters


Nov 10, 2020
Qiong Wu, Zhenming Liu

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* 12 pages 
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BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation


Aug 05, 2020
Sirui Wang, Yuwei Tu, Qiong Wu, Adam Hare, Zhenming Liu, Christopher G. Brinton, Yanhua Li

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Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation


Jul 27, 2020
Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji

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* 9 pages, 6 figures 
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Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework


Mar 19, 2020
Qiong Wu, Kaiwen He, Xu Chen

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* Submitted for review 
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DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network


Mar 09, 2020
Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, Liang Chen

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* accepted by IEEE Journal on Selected Areas in Communications (JSAC), March 2020 
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A Deep Learning Framework for Pricing Financial Instruments


Sep 07, 2019
Qiong Wu, Zheng Zhang, Andrea Pizzoferrato, Mihai Cucuringu, Zhenming Liu

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* 10 pages 
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Bandit Learning for Diversified Interactive Recommendation


Jul 01, 2019
Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang

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Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding


May 28, 2019
Peixian Chen, Pingyang Dai, Qiong Wu, Yuyu Huang

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* 5 pages, 2 figures 
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Adaptive Reduced Rank Regression


May 28, 2019
Qiong Wu, Felix Ming Fai Wong, Zhenming Liu, Yanhua Li, Varun Kanade

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* 27 pages 
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Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation


Mar 19, 2019
Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan

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Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods


Oct 24, 2018
Hao Wang, Fan Zhang, Qiong Wu, Yaohua Hu, Yuanming Shi

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Towards Non-Parametric Learning to Rank


Jul 09, 2018
Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia

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* 10 pages' main document and 10 pages' supplementary documents 
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Improving Deep Neural Network with Multiple Parametric Exponential Linear Units


Jan 17, 2017
Yang Li, Chunxiao Fan, Yong Li, Qiong Wu, Yue Ming

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Computational Curiosity (A Book Draft)


Feb 17, 2015
Qiong Wu

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