A Modified Energy Detector for Random Signals in Gaussian Noise. - Huayan Guo; Wei Jiang 003; Wu Luo (IEEE Commun. Lett., 2015)

Cooperative Sensing with Dependent Observations on BPSK Signal: To Quantize Amplitude or Sign. - Huayan Guo; Wei Jiang 003; Wu Luo (VTC Fall, 2016)

Soft Combination for Cooperative Spectrum Sensing in Fading Channels. - Huayan Guo; Nima Reisi; Wei Jiang 003; Wu Luo (IEEE Access, 2017)

Linear Soft Combination for Cooperative Spectrum Sensing in Cognitive Radio Networks. - Huayan Guo; Wei Jiang 003; Wu Luo (IEEE Commun. Lett., 2017)

Multi-Antenna Beamforming Receiver for Cognitive Ambient Backscatter Communications. - Huayan Guo; Qianqian Zhang 001; Sa Xiao; Ying-Chang Liang (GLOBECOM, 2018)

Clustering-Inspired Signal Detection for Ambient Backscatter Communication Systems. - Qianqian Zhang 001; Huayan Guo; Ying-Chang Liang; Xiaojun Yuan 002 (GLOBECOM, 2018)

Weighted Sum-Rate Maximization for Intelligent Reflecting Surface Enhanced Wireless Networks. - Huayan Guo; Ying-Chang Liang; Jie Chen 040; Erik G. Larsson (GLOBECOM, 2019)

Symbiotic Radio with Full-Duplex Backscatter Devices. - Ruizhe Long; Huayan Guo; Ying-Chang Liang (ICC, 2019)

Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security. - Jie Chen 040; Ying-Chang Liang; Yiyang Pei; Huayan Guo (IEEE Access, 2019)

Resource Allocation for Symbiotic Radio System With Fading Channels. - Huayan Guo; Ying-Chang Liang; Ruizhe Long; Sa Xiao; Qianqian Zhang 001 (IEEE Access, 2019)

Full-Duplex Backscatter Communications in Symbiotic Radio Systems. - Ruizhe Long; Huayan Guo; Lin Zhang 022; Ying-Chang Liang (IEEE Access, 2019)

Exploiting Multiple Antennas for Cognitive Ambient Backscatter Communication. - Huayan Guo; Qianqian Zhang 001; Sa Xiao; Ying-Chang Liang (IEEE Internet Things J., 2019)

Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart. - Ying-Chang Liang; Ruizhe Long; Qianqian Zhang 001; Jie Chen 040; Hei Victor Cheng; Huayan Guo (J. Commun. Inf. Networks, 2019)

Constellation Learning-Based Signal Detection for Ambient Backscatter Communication Systems. - Qianqian Zhang 001; Huayan Guo; Ying-Chang Liang; Xiaojun Yuan 002 (IEEE J. Sel. Areas Commun., 2019)

Resource Allocation for Full-Duplex-Enabled Cognitive Backscatter Networks. - Sa Xiao; Huayan Guo; Ying-Chang Liang (IEEE Trans. Wirel. Commun., 2019)

Cognitive Backscatter Network: A Spectrum Sharing Paradigm for Passive IoT. - Huayan Guo; Ruizhe Long; Ying-Chang Liang (IEEE Wirel. Commun. Lett., 2019)

Cooperative Ambient Backscatter System: A Symbiotic Radio Paradigm for Passive IoT. - Huayan Guo; Ying-Chang Liang; Ruizhe Long; Qianqian Zhang 001 (IEEE Wirel. Commun. Lett., 2019)

Center-Sensitive and Boundary-Aware Tooth Instance Segmentation and Classification from Cone-Beam CT. - Xiyi Wu; Huai Chen; Yijie Huang; Huayan Guo; Tiantian Qiu; Lisheng Wang (ISBI, 2020)

Symbiotic Radio: A New Communication Paradigm for Passive Internet of Things. - Ruizhe Long; Ying-Chang Liang; Huayan Guo; Gang Yang 005; Rui Zhang 006 (IEEE Internet Things J., 2020)

Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks. - Huayan Guo; Ying-Chang Liang; Jie Chen 040; Erik G. Larsson (IEEE Trans. Wirel. Commun., 2020)

Intelligent Reflecting Surface Configuration With Historical Channel Observations. - Huayan Guo; Ying-Chang Liang; Sa Xiao (IEEE Wirel. Commun. Lett., 2020)

Analog Gradient Aggregation for Federated Learning Over Wireless Networks: Customized Design and Convergence Analysis. - Huayan Guo; An Liu 001; Vincent K. N. Lau (IEEE Internet Things J., 2021)

Over-the-Air Aggregation for Federated Learning: Waveform Superposition and Prototype Validation. - Huayan Guo; Yifan Zhu; Haoyu Ma; Vincent K. N. Lau; Kaibin Huang; Xiaofan Li 001; Huabin Nong; Mingyu Zhou (J. Commun. Inf. Networks, 2021)

Bayesian Channel Estimation in Multi-User Massive MIMO With Extremely Large Antenna Array. - Yifan Zhu; Huayan Guo; Vincent K. N. Lau (IEEE Trans. Signal Process., 2021)

Intelligent Spectrum Management and Trajectory Design for UAV-Assisted Cognitive Ambient Backscatter Networks. - Jiazhou Liu; Sa Xiao; Huayan Guo; Xiangwei Zhou; Shixin He (Wirel. Commun. Mob. Comput., 2021)

Uplink Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems. - Huayan Guo; Vincent K. N. Lau (IEEE Trans. Signal Process., 2022)

Variational Bayesian Autoencoder for Channel Compression and Feedback in Massive MIMO Systems. - Xuanyu Zheng; Yuanyuan Bi; Huayan Guo; Vincent K. N. Lau (ICC, 2023)

Robust Over-The-Air Aggregation for uplink OFDM system under burst sparse interference. - Nilesh Kumar Jha; Huayan Guo; Vincent K. N. Lau (SPAWC, 2023)

Communication-Efficient Federated Multitask Learning Over Wireless Networks. - Haoyu Ma; Huayan Guo; Vincent K. N. Lau (IEEE Internet Things J., 2023)

Robust Deep Learning for Uplink Channel Estimation in Cellular Network Under Inter-Cell Interference. - Huayan Guo; Vincent K. N. Lau (IEEE J. Sel. Areas Commun., 2023)

A Communication-efficient Approach of Bayesian Distributed Federated Learning. - Sihua Wang; Huayan Guo; Xu Zhu 001; Changchuan Yin; Vincent K. N. Lau (GLOBECOM, 2024)

Multi-resolution Neural Network Compression Based on Variational Bayesian Inference. - Chengyu Xia; Haoyu Ma; Huayan Guo; Danny H. K. Tsang; Vincent K. N. Lau (ICC, 2024)

Bayesian Hierarchical Sparse Autoencoder for Massive MIMO CSI Feedback. - Huayan Guo; Vincent K. N. Lau (IEEE Trans. Signal Process., 2024)

Analog Product Coding for Over-the-Air Aggregation Over Burst-Sparse Interference Multiple-Access Channels. - Nilesh Kumar Jha; Huayan Guo; Vincent K. N. Lau (IEEE Trans. Signal Process., 2024)

Multi-Resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach. - Chengyu Xia; Huayan Guo; Haoyu Ma; Danny H. K. Tsang; Vincent K. N. Lau (IEEE Trans. Signal Process., 2024)

Robust In-Memory Computation With Bayesian Analog Error Mitigating Codes. - Nilesh Kumar Jha; Huayan Guo; Vincent K. N. Lau (IEEE Trans. Signal Process., 2025)

Communication-Efficient Distributed Bayesian Federated Learning Over Arbitrary Graphs. - Sihua Wang; Huayan Guo; Xu Zhu 001; Changchuan Yin; Vincent K. N. Lau (IEEE Trans. Signal Process., 2025)

Individual Graph Representation Learning for Pediatric Tooth Segmentation From Dental CBCT. - Yusheng Liu; Shu Zhang; Xiyi Wu; Tao Yang 037; Yuchen Pei; Huayan Guo; Yuxian Jiang; Zhien Feng; Wen Xiao; Yu-Ping Wang 002; Lisheng Wang (IEEE Trans. Medical Imaging, 2025)