Environment Compensation Based on Maximum a Posteriori Estimation for Improved Speech Recognition. - Haifeng Shen; Jun Guo 002; Gang Liu 008; Pingmu Huang; Qunxia Li (MICAI, 2005)

Optimization of the Energy-Efficient Relay-Based Massive IoT Network. - Tiejun Lv; Zhipeng Lin 001; Pingmu Huang; Jie Zeng 001 (IEEE Internet Things J., 2018)

Global Energy Efficiency Optimization for Wireless-Powered Massive MIMO Aided Multiway AF Relay Networks. - Fangqing Tan; Tiejun Lv; Pingmu Huang (IEEE Trans. Signal Process., 2018)

PNC-Aided Robust Secure Beamforming Design for Two-Way Relay Networks with Artificial Noise. - Yunqin Hao; Tiejun Lv; Jie Zeng 001; Pingmu Huang (ICC, 2019)

Secure Beamforming Design in Relay-Assisted Internet of Things. - Pingmu Huang; Yunqin Hao; Tiejun Lv; Jintao Xing; Jie Yang 023; P. Takis Mathiopoulos (IEEE Internet Things J., 2019)

Complex ResNet Aided DoA Estimation for Near-Field MIMO Systems. - Yashuai Cao; Tiejun Lv; Zhipeng Lin 001; Pingmu Huang; Fuhong Lin (IEEE Trans. Veh. Technol., 2020)

Learning-Based Multi-Channel Access in 5G and Beyond Networks With Fast Time-Varying Channels. - Shaoyang Wang; Tiejun Lv; Xuewei Zhang; Zhipeng Lin 001; Pingmu Huang (IEEE Trans. Veh. Technol., 2020)

Cost Optimization of Partial Computation Offloading and Pricing in Vehicular Networks. - Lanhui Li; Tiejun Lv; Pingmu Huang; P. Takis Mathiopoulos (J. Signal Process. Syst., 2020)

Channel estimation using variational Bayesian learning for multi-user mmWave MIMO systems. - Bo Xiao; Pingmu Huang; Zhipeng Lin 001; Jie Zeng 001; Tiejun Lv (IET Commun., 2021)

SNNet: Specific Node Network of Human Parsing. - Zhenyang Wang; Shaoyang Wang; Pingmu Huang; Tiejun Lv (ICANN (2), 2022)

Multi-Agent Deep Reinforcement Learning for Uplink Power Control in Multi-Cell Systems. - Ruibao Jia; Liu Liu 016; Xufei Zheng; Yuhan Yang; Shaoyang Wang; Pingmu Huang; Tiejun Lv (ICC Workshops, 2022)

Using Self-Supervised Depth and Uncertainty Predictions for Monocular Visual Odometry. - Ye Kuang; Pingmu Huang; Tiejun Lv (ICIGP, 2022)

Downlink Power Minimization in Intelligent Reconfigurable Surface-Aided Security Classification Wireless Communications System. - Jintao Xing; Tiejun Lv; Yashuai Cao; Jie Zeng 001; Pingmu Huang (CoRR, 2022)

D2D-Assisted Multi-User Cooperative Partial Offloading in MEC Based on Deep Reinforcement Learning. - Xin Guan; Tiejun Lv; Zhipeng Lin 001; Pingmu Huang; Jie Zeng 001 (Sensors, 2022)

MADRL Based Uplink Joint Resource Block Allocation and Power Control in Multi-Cell Systems. - Yuhan Yang; Tiejun Lv; Yingping Cui; Pingmu Huang (WCNC, 2023)

Downlink Power Minimization in Intelligent Reflecting Surface Aided Security Classification Wireless Communications System. - Jintao Xing; Tiejun Lv; Yashuai Cao; Jie Zeng 001; Pingmu Huang (IEEE Syst. J., 2023)

Joint Optimization of Bandwidth and Power Allocation in Uplink Systems with Deep Reinforcement Learning. - Chongli Zhang; Tiejun Lv; Pingmu Huang; Zhipeng Lin 001; Jie Zeng 001; Yuan Ren 003 (Sensors, 2023)

Localization Performance Analysis and Algorithm Design of Reconfigurable Intelligent Surface-Assisted D2D Systems. - Mengke Wang; Tiejun Lv; Pingmu Huang; Zhipeng Lin 001 (Sensors, 2024)