Device Performance Analysis of Cloud Computing Data Center Two-Layer Interconnection Model Based on MPLS/IP Core Backbone Network. - Hanmin Ye; Zihang Song; Qianting Sun (ICDM Workshops, 2014)

A High-Q AFM Sensor Using a Balanced Trolling Quartz Tuning Fork in the Liquid. - Yingxu Zhang; Yingzi Li; Zihang Song; Rui Lin; Yifu Chen; Jianqiang Qian (Sensors, 2018)

Real-time Multi-Gigahertz Sub-Nyquist Spectrum Sensing System for mmWave. - Zihang Song; Haoran Qi; Yue Gao 001 (mmNets, 2019)

Cross Validation Based Adaptive Compressed Spectrum Sensing without Testing Set. - Jian Yang 021; Zihang Song; Yue Gao 001; Xuemai Gu (GLOBECOM, 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)

A Survey on Spectrum Sensing and Learning Technologies for 6G. - Zihang Song; Yue Gao 001; Rahim Tafazolli (IEICE Trans. Commun., 2021)

Adaptive Compressed Spectrum Sensing for Multiband Signals. - Jian Yang 021; Zihang Song; Yue Gao 001; Xuemai Gu; Zhiyong Feng 001 (IEEE Trans. Wirel. Commun., 2021)

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)

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

Graph Learning for Multi-Satellite based Spectrum Sensing. - Haoxuan Yuan; Zhe Chen 015; Zheng Lin; Jinbo Peng; Zihan Fang; Yuhang Zhong; Zihang Song; Xiong Wang; Yue Gao 001 (ICCT, 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)

Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. - Zihang Song; Prabodh Katti; Osvaldo Simeone; Bipin Rajendran (AICAS, 2024)

Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection. - Zihang Song; Osvaldo Simeone; Bipin Rajendran (SPAWC, 2024)

SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing. - Haoxuan Yuan; Zhe Chen 015; Zheng Lin; Jinbo Peng; Zihan Fang; Yuhang Zhong; Zihang Song; Yue Gao 001 (CoRR, 2024)

Nonuniform Sampling Pattern Design for Compressed Spectrum Sensing in Mobile Cognitive Radio Networks. - Zihang Song; Yiyuan She; Jian Yang 021; Jinbo Peng; Yue Gao 001; Rahim Tafazolli (IEEE Trans. Mob. Comput., 2024)

Turbo-ICL: In-Context Learning-Based Turbo Equalization. - Zihang Song; Matteo Zecchin; Bipin Rajendran; Osvaldo Simeone (CoRR, 2025)

Xpikeformer: Hybrid Analog-Digital Hardware Acceleration for Spiking Transformers. - Zihang Song; Prabodh Katti; Osvaldo Simeone; Bipin Rajendran (IEEE Trans. Very Large Scale Integr. Syst., 2025)

GBSense: A GHz-Bandwidth Compressed Spectrum Sensing System. - Zihang Song; Xingjian Zhang 001; Zhe Chen 015; Rahim Tafazolli; Yue Gao 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

Sums: Sniffing Unknown Multiband Signals Under Low Sampling Rates. - Jinbo Peng; Zhe Chen 015; Zheng Lin; Haoxuan Yuan; Zihan Fang; Lingzhong Bao; Zihang Song; Ying Li 020; Jing Ren 002; Yue Gao 001 (IEEE Trans. Mob. Comput., 2025)