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Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy
Jingzhou Sun, Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy, IEEE INFOCOM’19 Workshop, Paris, APR 29-MAY 02，2019
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, and Lu Gengm, Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning, IEEE INFOCOM’19 Workshop, Paris, France, APR 29-MAY 02，2019
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun, Xueying Guo, Jinhui Song, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu, Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, Vol: 68 No: 4 pp: 3061-3074, APR 2019
Bidirectional mission offloading for agile space-air-ground integrated networks
Sheng Zhou, Guangchao Wang, Shan Zhang, Zhisheng Niu, and Xuemin Shen, Bidirectional mission offloading for agile space-air-ground integrated networks, IEEE WIRELESS COMMUNICATIONS, Vol: 26 No: 2 pp: 38-45, APR 2019
Timely Status Update in Wireless Uplinks: Analytical Solutions With Asymptotic Optimality
Zhiyuan Jiang, Bhaskar Krishnamachari, Xi Zheng, Sheng Zhou, Zhisheng Niu, Timely Status Update in Wireless Uplinks: Analytical Solutions With Asymptotic Optimality, IEEE INTERNET OF THINGS JOURNAL, Vol: 6 No: 2 pp: 3885-3898, APR 2019
Security Analysis of Mobile Device-to-Device Network Applications
Kecheng Liu, Wenlong Shen, Yu Cheng, Lin X. Cai, Qing Li, Sheng Zhou, Zhisheng Niu, Security Analysis of Mobile Device-to-Device Network Applications, IEEE INTERNET OF THINGS JOURNAL, Vol: 6 No: 2 pp: 2922-2932, APR 2019
Exploiting wireless channel state information structures beyond linear correlations: A deep learning approach
Zhiyuan Jiang, Sheng Chen, A. F. Molisch, R. Vannithamby, Sheng Zhou, and Zhisheng Niu, Exploiting wireless channel state information structures beyond linear correlations: A deep learning approach, IEEE COMMUNICATIONS MAGAZINE, Vol: 57 No: 3 pp: 28-34, MAR 2019
Joint Optimization of Cache Allocation and Content Placement in Urban Vehicular Networks
Tuo Liu, Sheng Zhou, Zhisheng Niu, Joint Optimization of Cache Allocation and Content Placement in Urban Vehicular Networks, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13，2018
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Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
Yuxuan Sun, Jinhui Song, Sheng Zhou, Xueying Guo, and Zhisheng Niu, Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13，2018
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A Two-Step Learning and Interpolation Method for Location-based Channel Database Construction
Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, Shuguang Cuiy, and Zhisheng Niu, A Two-Step Learning and Interpolation Method for Location-based Channel Database Construction, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13，2018
Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation
Zhiyuan Jiang, Ziyan He, Sheng Chen, Andreas F. Molisch，Sheng Zhou, and Zhisheng Niu, Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13，2018
Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing
Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu, Improved Scaling Law for Status Update Timeliness in Massive IoT by Elastic Spatial Multiplexing, IEEE GLOBECOM 2018, Abu Dhabi, Dec. 9-13，2018
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DeepNap: Data-Driven Base Station Sleeping Operations through Deep Reinforcement Learning
Jingchu Liu, Bhaskar Krishnamachari, Sheng Zhou, and Zhisheng Niu, DeepNap: Data-Driven Base Station Sleeping Operations through Deep Reinforcement Learning, IEEE Internet Things J., Vol. 5, No.6, Dec.2018: 4273-4282
Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?
Zhiyuan Jiang, Bhaskar Krishnamachari, Sheng Zhou, and Zhisheng Niu, Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels?, ITC 2018, Vienna, Sep. 3-7，2018
Time-sequence channel inference for beam alignment in vehicular networks
Sheng Chen, Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu, Time-sequence channel inference for beam alignment in vehicular networks, IEEE GlobalSIP’18, Anaheim, Nov.,26-29，2018
Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach
Guangchao Wang, Sheng Zhou, and Zhisheng Niu, Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach, IEEE WCSP’18 Hangzhou, Oct. 2018
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Data-Driven User Complaint Prediction for Mobile Access Networks
Huimin Pan, Sheng Zhou, Yunjian Jia, Zhisheng Niu, Meng Zheng, Lu Geng, Data-Driven User Complaint Prediction for Mobile Access Networks, Journal of Communications and Information Networks, Vol.3, No.3, Sept. 2018
Optimal Sleeping Mechanism for Multiple Servers With MMPP-Based Bursty Traffic Arrival
Zhiyuan Jiang, Bhaskar Krishnamachari, Sheng Zhou, and Zhisheng Niu, Optimal Sleeping Mechanism for Multiple Servers With MMPP-Based Bursty Traffic Arrival, IEEE WIRELESS COMMUNICATIONS LETTERS, VOL. 7, NO. 3, JUNE 2018
Decentralized Status Update for Age-of-Information Optimization in Wireless Multiaccess Channels
Zhiyuan Jiang, Bhaskar Krishnamachari, Xi Zheng, Sheng Zhou, and Zhisheng Niu, Decentralized Status Update for Age-of-Information Optimization in Wireless Multiaccess Channels, IEEE ISIT 2018, Jun. 17-22, Colorado,2018
Energy-Efficient UAV Deployment with Flexible Functional Split Selection
Liumeng Wang, and Sheng Zhou, Energy-Efficient UAV Deployment with Flexible Functional Split Selection, IEEE SPAWC 2018, June 25-28, Kalamata, 2018
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