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Distributed Policy Learning Based Random Access for Diversified QoS Requirements
Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Distributed Policy Learning Based Random Access for Diversified QoS Requirements, IEEE International Conference on Communications (ICC)，Shanghai, China，MAY 20-24, 2019
A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks
Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks, IEEE Conference on Computer Communications (IEEE INFOCOM), Paris, FRANCE, APR 29-MAY 02, 2019
Only Those Requested Count: Proactive Scheduling Policies for Minimizing Effective Age-of-Information
Bo Yin, Shuai Zhang, Yu Cheng, Lin X. Cai, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Only Those Requested Count: Proactive Scheduling Policies for Minimizing Effective Age-of-Information, IEEE Conference on Computer Communications (IEEE INFOCOM), Paris, FRANCE, APR 29-MAY 02, 2019
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
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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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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Discrete Spatial Compression Beyond Beamspace Channel Sparsity Based on Branch-and-Bound
Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu, Discrete Spatial Compression Beyond Beamspace Channel Sparsity Based on Branch-and-Bound, IEEE ICC 2018, May 20-24, Kansas City, 2018
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Flexible Functional Split in C-RAN with Renewable Energy Powered Remote Radio Units
Liumeng Wang, and Sheng Zhou, Flexible Functional Split in C-RAN with Renewable Energy Powered Remote Radio Units, IEEE ICC Workshop 2018, Kansas City, May 20-24, 2018
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Learning-Based Task Offloading for Vehicular Cloud Computing Systems
Yuxuan Sun, Xueying Guo, Sheng Zhou, Zhiyuan Jiang, Xin Liu, and Zhisheng Niu, Learning-Based Task Offloading for Vehicular Cloud Computing Systems, IEEE ICC 2018, Kansas City, May 20-24, 2018
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Learning-based task offloading for vehicular cloud computing systems
Yuxuan Sun, Xueying Guo, Sheng Zhou, Zhiyuan Jiang, Xin Liu, and Zhisheng Niu, Learning-based task offloading for vehicular cloud computing systems, IEEE ICC’18, Kansas City, MO, May 20-24，2018