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
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
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
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
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
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
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
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
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