Y. Jia, R. Mao, Y. Sun, S. Zhou, and Z. Niu, Online V2X Scheduling for Raw-Level Cooperative Perception, IEEE ICC’22,Seoul, South Korea, May 16-20, 2022
Wenqi Shi, Yuxuan Sun, Sheng Zhou, Zhisheng Niu, Device Scheduling and Resource Allocation for Federated Learning under Delay and Energy Constraints, the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC2021),Lucca, Italy, Sep. 27-30, 2021
Qicheng, Zeng and Sheng Zhou, On the Capacity of Privacy-Preserving and Straggler-Robust Distributed Coded Computing, IEEE/CIC ICCC’21, Xiamen, China, 28-30, July 2021
Y. Xu, S. Zhou, and Z. Niu, The Impact of Interference Reflection on Reconfigurable Intelligent Surface-Aided Directional Transmissions, IEEE/CIC ICCC’21, Xiamen, China, 28-30, July 2021
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.
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.
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.
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.
X. Huang and S. Zhou, Adaptive Transmission for Edge Learning via Training Loss Estimation, IEEE ICC’20, Jun. 2020.
Y. Sun, S. Zhou, and D. Gunduz, Energy-Aware Analog Aggregation for Federated Learning with Redundant Data, IEEE ICC’20, Jun. 2020.
W. Shi, S. Zhou, and Z. Niu, Device Scheduling with Fast Convergence for Wireless Federated Learning, IEEE ICC’20, Jun. 2020.
X. Huang and S. Zhou, Latency Guaranteed Edge Inference via Dynamic Compression Ratio Selection, IEEE WCNC’20, May 2020.
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.
X. Zheng, S. Zhou, and Z. Niu, Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems, 6G Summit 2020, Mar. 2020.
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
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
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
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
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
Zhiyuan Jiang and Sheng Zhou, Status from a Random Field: How Densely Should One Update?, IEEE ISIT’19, Paris, FRANCE,Jul. 7-12,2019