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Sihua Wang
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2020 – today
- 2024
- [j10]Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui:
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. IEEE Trans. Wirel. Commun. 23(3): 2340-2356 (2024) - [j9]Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton:
Digital Over-the-Air Federated Learning in Multi-Antenna Systems. IEEE Trans. Wirel. Commun. 23(10): 15125-15141 (2024) - [c21]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Changchuan Yin, Christopher G. Brinton:
A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design. ICC 2024: 3598-3603 - [c20]Haopeng Li, Haonan Tong, Sihua Wang, Nuocheng Yang, Zhaohui Yang, Changchuan Yin:
Video Semantic Communication with Major Object Extraction and Contextual Video Encoding. WCNC 2024: 1-6 - [i9]Yujiao Zhu, Mingzhe Chen, Sihua Wang, Ye Hu, Yuchen Liu, Changchuan Yin:
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking. CoRR abs/2401.12079 (2024) - [i8]Haopeng Li, Haonan Tong, Sihua Wang, Nuocheng Yang, Zhaohui Yang, Changchuan Yin:
Video Semantic Communication with Major Object Extraction and Contextual Video Encoding. CoRR abs/2402.01330 (2024) - 2023
- [j8]Xuanlin Liu, Sihua Wang, Changchuan Yin:
Biological Intelligence Inspired Trajectory Design for Energy Harvesting UAV Networks. Sensors 23(2): 863 (2023) - [c19]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin:
Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach. GLOBECOM 2023: 164-169 - [c18]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton:
MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. GLOBECOM 2023: 607-612 - [c17]Haonan Tong, Sihua Wang, Zhaohui Yang, Jun Zhao, Mehdi Bennis, Changchuan Yin:
Semantic-Aware Remote State Estimation in Digital Twin with Minimizing Age of Incorrect Information. GLOBECOM 2023: 4534-4539 - [c16]Yujiao Zhu, Mingzhe Chen, Sihua Wang, Yuchen Liu, Changchuan Yin:
Trajectory Design for 3D UAV Localization in UAV Based Networks. GLOBECOM 2023: 4927-4932 - [c15]Yujiao Zhu, Sihua Wang, Haonan Tong, Changchuan Yin:
Performance Optimization for Digital Internet-of-Things Twins Over Wireless Networks. ICC Workshops 2023: 831-836 - [c14]Wentao Gong, Haonan Tong, Sihua Wang, Zhaohui Yang, Xinxin He, Changchuan Yin:
Adaptive Bitrate Video Semantic Communication over Wireless Networks. WCSP 2023: 122-127 - [i7]Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton:
Cross-Layer Federated Learning Optimization in MIMO Networks. CoRR abs/2302.14648 (2023) - [i6]Wentao Gong, Haonan Tong, Sihua Wang, Zhaohui Yang, Xinxin He, Changchuan Yin:
Adaptive Bitrate Video Semantic Communication over Wireless Networks. CoRR abs/2308.00531 (2023) - 2022
- [j7]Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor:
Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems. IEEE J. Sel. Top. Signal Process. 16(3): 501-515 (2022) - [c13]Sihua Wang, Mingzhe Chen, Changchuan Yin, H. Vincent Poor:
Convergence Time Minimization for Federated Reinforcement Learning over Wireless Networks. CISS 2022: 246-251 - [c12]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui:
Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization. GLOBECOM 2022: 5063-5068 - [i5]Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui:
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. CoRR abs/2209.10200 (2022) - 2021
- [j6]Kiran Nahida, Xuanlin Liu, Sihua Wang, Changchuan Yin:
Optimising resource allocation for virtual network functions in SDN/NFV-enabled MEC networks. IET Commun. 15(13): 1710-1722 (2021) - [j5]Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks. IEEE Internet Things J. 8(3): 1358-1372 (2021) - [j4]Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor:
Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks. IEEE Internet Things J. 8(24): 17460-17475 (2021) - [j3]Haonan Tong, Tao Wang, Yujiao Zhu, Xuanlin Liu, Sihua Wang, Changchuan Yin:
Mobility-Aware Seamless Handover With MPTCP in Software-Defined HetNets. IEEE Trans. Netw. Serv. Manag. 18(1): 498-510 (2021) - [c11]Haonan Tong, Zhaohui Yang, Sihua Wang, Ye Hu, Walid Saad, Changchuan Yin:
Federated Learning based Audio Semantic Communication over Wireless Networks. GLOBECOM 2021: 1-6 - [c10]Xuanlin Liu, Sihua Wang, Mingzhe Chen, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks. SPAWC 2021: 261-265 - [i4]Haonan Tong, Tao Wang, Yujiao Zhu, Xuanlin Liu, Sihua Wang, Changchuan Yin:
Mobility-Aware Seamless Handover with MPTCP in Software-Defined HetNets. CoRR abs/2101.00678 (2021) - [i3]Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor:
Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics. CoRR abs/2104.01527 (2021) - 2020
- [j2]Kiran Nahida, Chunyu Pan, Sihua Wang, Changchuan Yin:
Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks. J. Commun. Networks 22(1): 1-11 (2020) - [c9]Ruoqi Liu, Xuanlin Liu, Sihua Wang, Changchuan Yin:
Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks. GLOBECOM (Workshops) 2020: 1-6 - [c8]Sihua Wang, Mingzhe Chen, Walid Saad, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
Reinforcement Learning for Minimizing Age of Information under Realistic Physical Dynamics. GLOBECOM 2020: 1-6 - [c7]Sihua Wang, Mingzhe Chen, Walid Saad, Changchuan Yin:
Federated Learning for Energy-Efficient Task Computing in Wireless Networks. ICC 2020: 1-6 - [c6]Yujiao Zhu, Sihua Wang, Xuanlin Liu, Haonan Tong, Changchuan Yin:
Joint Task and Resource Allocation in SDN-based UAV-assisted Cellular Networks. ICCC 2020: 430-435 - [c5]Xuanlin Liu, Mingzhe Chen, Sihua Wang, Walid Saad, Changchuan Yin:
Trajectory Design for Energy Harvesting UAV Networks: A Foraging Approach. WCNC 2020: 1-6 - [c4]Kiran Nahida, Xuanlin Liu, Sihua Wang, Changchuan Yin:
VNF Placement and Resource Allocation in SDN/NFV-Enabled MEC Networks. WCNC Workshops 2020: 1-6 - [i2]Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor:
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks. CoRR abs/2003.09375 (2020) - [i1]Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin, Shuguang Cui, H. Vincent Poor:
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks. CoRR abs/2007.10102 (2020)
2010 – 2019
- 2019
- [c3]Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin:
Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach. GLOBECOM Workshops 2019: 1-6 - [c2]Jianqi Xie, Sihua Wang, Changchuan Yin:
Machine Learning Based Task Scheduling for Wireless Powered Mobile Edge Computing IoT Networks. WCSP 2019: 1-6 - 2018
- [c1]Sihua Wang, Chunyu Pan, Changchuan Yin:
Joint Heterogeneous Tasks Offloading and Resource Allocation in Mobile Edge Computing Systems. WCSP 2018: 1-6 - 2017
- [j1]Xiaoran Duan, Yongli Yang, Shanjuan Tan, Sihua Wang, Xiaolei Feng, Liuxin Cui, Feifei Feng, Songcheng Yu, Wei Wang, Yongjun Wu:
Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer. Medical Biol. Eng. Comput. 55(8): 1239-1248 (2017)
Coauthor Index
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last updated on 2024-10-28 20:08 CET by the dblp team
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