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Author Archives: niulab
Status from a Random Field: How Densely Should One Update?
Zhiyuan Jiang and Sheng Zhou, Status from a Random Field: How Densely Should One Update?, IEEE ISIT’19, Paris, FRANCE，Jul. 7-12，2019
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
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks
Sheng Zhou, Yuxuan Sun, Zhiyuan Jiang, Zhisheng Niu, Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks, IEEE COMMUNICATIONS MAGAZINE, Vol: 57 No: 5 pp: 49-55, MAY 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
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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黄秀峰(Huang, Xiufeng)
联系方式 电子邮件：huangxf18@mails.tsinghua.edu.cn 工作电话：(010)62794328 个人简介：黄秀峰，广东汕头人，2014年毕业于广东省东华高级中学，同年考入清华大学电子工程系，现保送为周盛老师的直博研究生。
孙径舟(Sun, Jingzhou)
联系方式 电子邮件：aaronsun14@gmail.com 工作电话：(010)62794328 个人简介：孙径舟，安徽安庆人。2018年毕业于清华大学电子工程系。同年直博攻读信息与通信工程专业博士。
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