Efficient Utility-Based Bandwidth Allocation Scheme for Multi-traffic Distribution in Heterogeneous Networks. - Hao Lian; Han Zhang 006; Zhiyong Feng 001; Bin Fu; Baoling Liu; Qixun Zhang; Yifan Zhang 003 (ICPCA/SWS, 2013)

A novel spectrum sensing scheme based on phase difference. - Jian Yang 021; Xiao Yan 002; Mingfei Gao; Hao Lian; Han Zhang 006; Zhiyong Feng 001; Yifan Zhang 003 (WCNC, 2014)

Feature Selection with Interactions in Logistic Regression Models using Multivariate Synergies for a GWAS Application. - Easton Li Xu; Xiaoning Qian; Qilian Yu; Han Zhang 006; Shuguang Cui (BCB, 2017)

Tensor-based Spectral Analysis of Cascading Failures over Multilayer Complex Systems. - Songyang Zhang; Han Zhang 006; Hang Li 003; Shuguang Cui (Allerton, 2018)

A Novel Sparse Extreme Learning Machine based Classifier. - Li Xu; Kezhong Zhang; Yueyan Zhang; Han Zhang 006; Zhiyong Feng 001 (ICCC, 2018)

Automatic Modulation Classification with Gaussian Distributed Frequency Offset. - Kezhong Zhang; Li Xu; Yueyan Zhang; Han Zhang 006; Zhiyong Feng 001 (ICCC, 2018)

MIMO Channel Interpolation via Tucker Decomposed Extreme Learning Machine. - Han Zhang 006; Bo Ai 001; Wenjun Xu 001; Li Xu; Shuguang Cui (CoRR, 2018)

Data Driven Automatic Modulation Classification via Dictionary Learning. - Kezhong Zhang; Easton Li Xu; Han Zhang 006; Zhiyong Feng 001; Shuguang Cui (IEEE Wirel. Commun. Lett., 2018)

Signal Demodulation With Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset, and Algorithms. - Shuai Ma 002; Jiahui Dai; Songtao Lu; Hang Li 003; Han Zhang 006; Chun Du; Shiyin Li (IEEE Access, 2019)

Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics. - Hongmei Wang; Zhenzhen Wu; Shuai Ma 002; Songtao Lu; Han Zhang 006; Guoru Ding; Shiyin Li (IEEE Access, 2019)

Multi-Antenna Channel Interpolation via Tucker Decomposed Extreme Learning Machine. - Han Zhang 006; Bo Ai 001; Wenjun Xu 001; Easton Li Xu; Shuguang Cui (IEEE Trans. Veh. Technol., 2019)

Compressed Multiple Random Access with Energy Modulation. - Jianhao Huang; Han Zhang 006; Chuan Huang 001; Wei Zhang 001 (GLOBECOM, 2020)

Multicast Transmissions with Full-Duplex Amplify-and-Forward Receiver Cooperations. - Linsong Du; Han Zhang 006; Chuan Huang 001 (ICC, 2020)

Multicast Transmissions With Full-Duplex Amplify-and-Forward User Cooperation. - Linsong Du; Han Zhang 006; Chuan Huang 001 (IEEE Access, 2020)

From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation. - Songyang Zhang; Han Zhang 006; Shuguang Cui; Zhi Ding 001 (CoRR, 2020)

Noncoherent Energy-Modulated Massive SIMO in Multipath Channels: A Machine Learning Approach. - Han Zhang 006; Muhang Lan; Jianhao Huang; Chuan Huang 001; Shuguang Cui (IEEE Internet Things J., 2020)

Design of energy modulation massive SIMO transceivers via machine learning. - Muhang Lan; Jianhao Huang; Han Zhang 006; Chuan Huang 001 (J. Commun. Inf. Networks, 2020)

Feeder Communication for Integrated Networks. - Bo Ai 001; Ruisi He; Han Zhang 006; Mi Yang; Zhangfeng Ma; Guiqi Sun; Zhangdui Zhong (IEEE Wirel. Commun., 2020)

Design of Noncoherent Communications: From Statistical Method to Machine Learning. - Jianhao Huang; Muhang Lan; Han Zhang 006; Chuan Huang 001; Wei Zhang 001; Shuguang Cui (IEEE Wirel. Commun., 2020)

Nonorthogonal Multiple Access for Visible Light Communication IoT Networks. - Chun Du; Shuai Ma 002; Yang He; Songtao Lu; Hang Li 003; Han Zhang 006; Shiyin Li (Wirel. Commun. Mob. Comput., 2020)

Sub-Nyquist spectrum sensing and learning challenge. - Yue Gao 001; Zihang Song; Han Zhang 006; Sean Fuller; Andrew Lambert; Zhinong Ying; Petri Mähönen; Yonina C. Eldar; Shuguang Cui; Mark D. Plumbley; Clive Parini; Arumugam Nallanathan (Frontiers Comput. Sci., 2021)

Energy Efficiency of Two-Way Communications Under Various Duplex Modes. - Wei Guo 030; Han Zhang 006; Chuan Huang 001 (IEEE Internet Things J., 2021)

Measuring Sparsity of Wireless Channels. - Han Zhang 006; Ruisi He; Bo Ai 001; Shuguang Cui; Haoxiang Zhang (IEEE Trans. Cogn. Commun. Netw., 2021)

Multicast Schedule for Multi-Message over Multi-Channel: A Permutation-based Wolpertinger Deep Reinforcement Learning Method. - Ran Li; Chuan Huang 001; Han Zhang 006; Shengpei Jiang (ICCC, 2022)

Multicast Scheduling for Multi-Message over Multi-Channel: A Permutation-based Wolpertinger Deep Reinforcement Learning Method. - Ran Li; Chuan Huang 001; Han Zhang 006; Shengpei Jiang (CoRR, 2022)

Covert Beamforming Design for Intelligent-Reflecting-Surface-Assisted IoT Networks. - Shuai Ma 002; Yunqi Zhang; Hang Li 003; Junchang Sun; Jia Shi 001; Han Zhang 006; Chao Shen 004; Shiyin Li (IEEE Internet Things J., 2022)

Noncoherent Massive Random Access for Inhomogeneous Networks: From Message Passing to Deep Learning. - Jianhao Huang; Han Zhang 006; Chuan Huang 001; Lian Yang; Wei Zhang 001 (IEEE J. Sel. Areas Commun., 2022)

Approaching Sub-Nyquist Boundary: Optimized Compressed Spectrum Sensing Based on Multicoset Sampler for Multiband Signal. - Zihang Song; Jian Yang 021; Han Zhang 006; Yue Gao 001 (IEEE Trans. Signal Process., 2022)

Compressed Random Access for Noncoherent Massive Machine-Type Communications With Energy Modulation. - Jianhao Huang; Han Zhang 006; Chuan Huang 001; Wei Zhang 001 (IEEE Trans. Wirel. Commun., 2022)

Machine Learning Empowered Spectrum Sensing Under a Sub-Sampling Framework. - Han Zhang 006; Jian Yang 021; Yue Gao 001 (IEEE Trans. Wirel. Commun., 2022)

Neural Estimation for Rate- Distortion Function in Semantic Communications. - Dongxu Li; Jianhao Huang; Chuan Huang 001; Xiaoqi Qin; Han Zhang 006 (GLOBECOM (Workshops), 2023)

Prediction-Assisted Compressed Spectrum Sensing. - Zihang Song; Jian Yang 021; Han Zhang 006; Jinbo Peng; Yue Gao 001 (ICCC, 2023)

Dynamic Clustering and Resource Allocation Using Deep Reinforcement Learning for Smart-Duplex Networks. - Dan Wang 009; Chuan Huang 001; Han Zhang 006; Shengpei Jiang; Guowei Shi; Tengfei Li (IEEE Internet Things J., 2023)

Adversarial Autoencoder Empowered Joint Anomaly Detection and Signal Reconstruction From Sub-Nyquist Samples. - Han Zhang 006; Zihang Song; Jian Yang 021; Yue Gao 001 (IEEE Trans. Cogn. Commun. Netw., 2023)

Numerical evaluation on sub-Nyquist spectrum reconstruction methods. - Zihang Song; Han Zhang 006; Sean Fuller; Andrew Lambert; Zhinong Ying; Petri Mähönen; Yonina C. Eldar; Shuguang Cui; Mark D. Plumbley; Clive Parini; Arumugam Nallanathan; Yue Gao 001 (Frontiers Comput. Sci., 2023)

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion. - Dongxu Li; Jianhao Huang; Chuan Huang 001; Xiaoqi Qin; Han Zhang 006; Ping Zhang 003 (J. Commun. Inf. Networks, 2023)

Fast Compressed Wideband Spectrum Sensing. - Ziping Wei; Han Zhang 006; Yang Zhang 113; Bin Li 002; Yiwen Tao; Yue Gao 001; Chenglin Zhao (IEEE Trans. Veh. Technol., 2024)