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The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication


Mar 24, 2021
Xing Xu, Rongpeng Li, Zhifeng Zhao, Honggang Zhang


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Deep Sketch-Based Modeling: Tips and Tricks


Nov 17, 2020
Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song


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Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems


Jul 15, 2020
Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji


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Learning to Prune in Training via Dynamic Channel Propagation


Jul 03, 2020
Shibo Shen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Yugeng Zhou

* accepted by ICPR-2020 

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Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging


Jun 09, 2020
Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan


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Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images


Mar 26, 2020
Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang


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A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing


Sep 01, 2019
Zhi Cao, Honggang Zhang, Benyuan Liu


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Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective


Aug 06, 2019
Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis


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Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing


Jun 10, 2019
Chen Qi, Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Honggang Zhang


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Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications


Jun 03, 2019
Xianfu Chen, Celimuge Wu, Honggang Zhang, Yan Zhang, Mehdi Bennis, Heli Vuojala

* Accepted to Proc. IEEE ICC, Shanghai, China, May 2019 

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The Collective Intelligence for Advancing 6G Communications


May 12, 2019
Rongpeng Li, Zhifeng Zhao, Xing Hsu, Fei Ni, Honggang Zhang

* 5 figures; submitted to IEEE Commun. Mag 

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GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing


May 10, 2019
Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Xianfu Chen

* 7 pages, 5 figures, 22 conferences 

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Self-Supervised Convolutional Subspace Clustering Network


May 01, 2019
Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin

* 10 pages, 2 figures, and 5 tables. This paper has been accepted by CVPR2019 

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Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group


Mar 01, 2019
Anna Dai, Zhifeng Zhao, Honggang Zhang, Rongpeng Li, Yugeng Zhou


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Brain-Inspired Stigmergy Learning


Nov 20, 2018
Xing Hsu, Zhifeng Zhao, Rongpeng Li, Honggang Zhang


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Deep Learning with Long Short-Term Memory for Time Series Prediction


Oct 24, 2018
Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang

* 9 pages, 5 figures, 14 references 

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Deep Attentive Tracking via Reciprocative Learning


Oct 15, 2018
Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang

* In NIPS 2018 

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Universal Perceptual Grouping


Aug 07, 2018
Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang

* Accepted ECCV 2018 

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AI-based Two-Stage Intrusion Detection for Software Defined IoT Networks


Jun 07, 2018
Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang


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Deep Reinforcement Learning for Network Slicing


May 26, 2018
Zhifeng Zhao, Rongpeng Li, Qi Sun, Chi-Lin I, Chenyang Yang, Xianfu Chen, Minjian Zhao, Honggang Zhang

* 5 figures, 1 table 

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Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning


May 16, 2018
Xianfu Chen, Honggang Zhang, Celimuge Wu, Shiwen Mao, Yusheng Ji, Mehdi Bennis


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Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory


Apr 03, 2018
Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang

* 6 pages, 9 figures 

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Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification


Mar 27, 2018
Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang

* 10 pages, 8 figures, 7 tables, accepted by CVPR 2018 

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Residual Attention Network for Image Classification


Apr 23, 2017
Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang

* accepted to CVPR2017 

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The Learning and Prediction of Application-level Traffic Data in Cellular Networks


Mar 28, 2017
Rongpeng Li, Zhifeng Zhao, Jianchao Zheng, Chengli Mei, Yueming Cai, Honggang Zhang

* Accepted by IEEE Transactions on Wireless Communications on March 26, 2017 

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Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy


May 09, 2014
Le Li, Jianjun Yang, Kaili Zhao, Yang Xu, Honggang Zhang, Zhuoyi Fan


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TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks


Apr 04, 2014
Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jacques Palicot, Honggang Zhang

* 11 figures, 30 pages, accepted in IEEE Transactions on Wireless Communications 2014. IEEE Trans. Wireless Commun., Feb. 2014 

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Adaptive Learning of Region-based pLSA Model for Total Scene Annotation


Nov 21, 2013
Yuzhu Zhou, Le Li, Honggang Zhang

* Volume 2, Page 131-136. 2010 International Conference on Information and Multimedia Technology 

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