Qihang Peng

According to our database1, Qihang Peng authored at least 29 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Bring Globality Into Convolutional Neural Networks for Wireless Interference Classification.
IEEE Wirel. Commun. Lett., 2022

Resource Allocation in UAV-Assisted Networks: A Clustering-Aided Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2022

Multi-Domain Networks for Wireless Interference Recognition.
IEEE Trans. Veh. Technol., 2022

CTD: Cascaded Temporal Difference Learning for the Mean-Standard Deviation Shortest Path Problem.
IEEE Trans. Intell. Transp. Syst., 2022

Low-Bitwidth Convolutional Neural Networks for Wireless Interference Identification.
IEEE Trans. Cogn. Commun. Netw., 2022

A Constrained Block-Term Tensor Decomposition Framework for Spectrum Cartography.
IEEE Signal Process. Lett., 2022

Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm.
CoRR, 2022

Decentralized Decision for Multi-Band Sensing: A Deep Reinforcement Learning Approach.
IEEE Wirel. Commun. Lett., 2021

Secure and Reliable Downlink Transmission for Energy-Efficient User-Centric Ultra-Dense Networks: An Accelerated DRL Approach.
IEEE Trans. Veh. Technol., 2021

Dynamic spectrum cartography via canonical polyadic tensor decomposition.
Signal Process., 2021

Graph Embedding and Approximate Dynamic Programming for the Reliable Shortest Path Problem.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Tensor Completion for Dynamic Spectrum Cartography by Canonical Polyadic Decomposition.
Proceedings of the ICC 2021, 2021

Robust Deep Sensing Through Transfer Learning in Cognitive Radio.
IEEE Wirel. Commun. Lett., 2020

Estimation of Sinusoidal Frequency-Modulated Signal Parameters by Two Branches and Two Stages.
IEEE Trans. Signal Process., 2020

Deep Architectures for Modulation Recognition with Multiple Receive Antennas.
CoRR, 2020

Optimal Sensing Disruption: A Generalized Framework for a Power-Limited Adversary.
IEEE Trans. Commun., 2019

A Neural Network Detector for Spectrum Sensing under Uncertainties.
CoRR, 2019

No-Reference Video Quality Assessment Based on Ensemble of Knowledge and Data-Driven Models.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Comparison of Neural Network Architectures for Spectrum Sensing.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Deep Modulation Recognition in an Unknown Environment.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Robustness of Deep Modulation Recognition under AWGN and Rician Fading.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Sensing Disruption with Estimation Uncertainty.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Achieving secure spectrum sensing in presence of malicious attacks utilizing unsupervised machine learning.
Proceedings of the 2016 IEEE Military Communications Conference, 2016

Handoff Delay-Based Call Admission Control in Cognitive Radio Networks.
IEICE Trans. Commun., 2014

Mitigating spectrum sensing data falsification attacks in hard-decision combining cooperative spectrum sensing.
Sci. China Inf. Sci., 2014

Multi-User Resource Allocation for Downlink Multi-Cluster Multicarrier DS CDMA System.
IEEE Trans. Wirel. Commun., 2011

Spoofing or Jamming: Performance Analysis of a Tactical Cognitive Radio Adversary.
IEEE J. Sel. Areas Commun., 2011

Optimal Sensing Disruption for a Cognitive Radio Adversary.
IEEE Trans. Veh. Technol., 2010

A Distributed Spectrum Sensing Scheme Based on Credibility and Evidence Theory in Cognitive Radio Context.
Proceedings of the IEEE 17th International Symposium on Personal, 2006