By year

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
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
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
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
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
Guangchao Wang, Sheng Zhou, and Zhisheng Niu, Mode Selection in UAV-aided Vehicular Network: an Evolutionary Game Approach, IEEE WCSP’18 Hangzhou, Oct. 2018
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
Liumeng Wang, and Sheng Zhou, Energy-Efficient UAV Deployment with Flexible Functional Split Selection, IEEE SPAWC 2018, June 25-28, Kalamata, 2018
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
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
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
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
Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, A Block Coordinated Update Method for Beam-Based Massive MIMO Downlink Scheduling Based on Statistical CSI, APCC 2017, Dec. 11-13, Perth, 2017
Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, How Often Should CSI be Updated for Massive MIMO Systems with Massive Connectivity?, IEEE GLOBECOM 2017, Dec. 4-8, Singapore, 2017
Sheng Chen, Zhiyuan Jiang, Jingchu Liu, Rath Vannithamby, Sheng Zhou, Zhisheng Niu, Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network, IEEE GLOBECOM 2017, Dec. 4-8, Singapore, 2017
Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, A Block Coordinated Update Method for Beam-Based Massive MIMO Downlink Scheduling Based on Statistical CSI, APCC 2017, Dec. 11-13, Perth, 2017
Zhiyuan Jiang, Sheng Zhou, and Zhisheng Niu, Antenna-beam spatial transformation in C-RAN with large antenna arrays,, IEEE ICC 2017 Workshop, Paris, May 21-25, 2017
Tianchu Zhao, Sheng Zhou, Xueying Guo, and Zhisheng Niu, Tasks scheduling and resource allocation in heterogeneous cloud for delay-bounded mobile edge computing,, IEEE ICC 2017, Paris, May 21-25, 2017
Tuo Liu, Sheng Zhou, and Zhisheng Niu Mobility-aware coded-caching scheme for small cell network,IEEE ICC 2017, Paris, May 21-25, 2017
Xi Zheng, Sheng Zhou, and Zhisheng Niu Proactive content push in heterogeneous networks with multiple energy harvesting small cells,IEEE VTC-Spring 2017, Sydney, Jun. 4-7, 2017