By year
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Adaptive Transmission for Edge Learning via Training Loss Estimation
X. Huang and S. Zhou, Adaptive Transmission for Edge Learning via Training Loss Estimation, IEEE ICC’20, Jun. 2020.
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
Y. Sun, S. Zhou, and D. Gunduz, Energy-Aware Analog Aggregation for Federated Learning with Redundant Data, IEEE ICC’20, Jun. 2020.
Device Scheduling with Fast Convergence for Wireless Federated Learning
W. Shi, S. Zhou, and Z. Niu, Device Scheduling with Fast Convergence for Wireless Federated Learning, IEEE ICC’20, Jun. 2020.
Latency Guaranteed Edge Inference via Dynamic Compression Ratio Selection
X. Huang and S. Zhou, Latency Guaranteed Edge Inference via Dynamic Compression Ratio Selection, IEEE WCNC’20, May 2020.
A Deep Reinforcement Learning Framework to Combat Dynamic Blockage in mmWave V2X Networks
S. Chen, K. Vu, S. Zhou, Z. Niu, M. Bennis, M. Latva-aho, A Deep Reinforcement Learning Framework to Combat Dynamic Blockage in mmWave V2X Networks, 6G Summit 2020, Mar. 2020.
Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
X. Zheng, S. Zhou, and Z. Niu, Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems, 6G Summit 2020, Mar. 2020.
Age of Information and Delay Tradeoff with Freshness-Aware Mobile Edge Cache Update
S. Zhang, L. Wang, H. Luo, X. Ma and S. Zhou, Age of Information and Delay Tradeoff with Freshness-Aware Mobile Edge Cache Update, IEEE Globecom’19, Waikoloa, HI, USA, Dec. 9-13, 2019
Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems
Xi Zheng, Sheng Zhou, and Zhisheng Niu, Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems, IEEE Globecom’19, Waikoloa, HI, USA, Dec. 9-13, 2019
Service Function Chain Planning with Resource Balancing in Space-Air-Ground Integrated Networks
Guangchao Wang, Sheng Zhou, Zhisheng Niu, Shan Zhang, and Sherman Shen, Service Function Chain Planning with Resource Balancing in Space-Air-Ground Integrated Networks, IEEE Globecom’19, Waikoloa, HI, USA, Dec. 9-13, 2019
Heterogeneous Coded Computation across Heterogeneous Workers
Yuxuan Sun, Junlin Zhao, Sheng Zhou, and Deniz Gunduz, Heterogeneous Coded Computation across Heterogeneous Workers, IEEE Globecom’19, Waikoloa, HI, USA, Dec. 9-13, 2019
Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions
Zhiyuan Jiang, Andrei Marinescu, Luiz DaSilva, Sheng Zhou, Zhisheng Niu, Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions, IEEE SPAWC’19, Cannes, France，Jul. 2-5，2019
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
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
Posted on December 19, 2018
Tagged Conference, Tuo Liu
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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
Posted on December 19, 2018
Tagged Conference, Yuxuan Sun
Comments Off on Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
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