Tag Archives: Conference

Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection

R. Jiang, S. Zhou and K. Huang, Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection, 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 2020.

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Timely Status Update Based on Urgency of Information with Statistical Context

L. Wang, J. Sun, S. Zhou and Z. Niu, Timely Status Update Based on Urgency of Information with Statistical Context, 2020 32nd International Teletraffic Congress (ITC 32), 2020.

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Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning

R. Jiang and S. Zhou, Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning, 2020 IEEE/CIC International Conference on Communications in China (ICCC), 2020.

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Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint

J. Sun, Z. Jiang, S. Zhou, and Z. Niu, Age-Optimal Scheduling for Heterogeneous Traffic with Timely-Throughput Constraint, IEEE INFOCOM’20 AoI Workshop, July 2020.

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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.

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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.

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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.

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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.

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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.

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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.

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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