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2020 – today
- 2024
[i15]Hang Zou, Qiyang Zhao, Lina Bariah, Yu Tian, Mehdi Bennis, Samson Lasaulce, Mérouane Debbah, Faouzi Bader:
GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning. CoRR abs/2402.16631 (2024)- [i14]Thomas Mongaillard, Samson Lasaulce, Othman Hicheur, Chao Zhang, Lina Bariah, Vineeth S. Varma, Hang Zou, Qiyang Zhao, Mérouane Debbah:
Large Language Models for Power Scheduling: A User-Centric Approach. CoRR abs/2407.00476 (2024) - [i13]Li Wang, Chao Zhang, Qiyang Zhao, Hang Zou, Samson Lasaulce, Giuseppe Valenzise, Zhuo He, Mérouane Debbah:
Generative AI for RF Sensing in IoT systems. CoRR abs/2407.07506 (2024) - [i12]Hang Zou, Qiyang Zhao, Yu Tian, Lina Bariah, Faouzi Bader, Thierry Lestable, Mérouane Debbah:
TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models. CoRR abs/2407.09424 (2024) - 2023
- [c27]Qiyang Zhao, Hang Zou, Mehdi Bennis, Mérouane Debbah, Ebtesam Almazrouei, Faouzi Bader:
Joint Semantic-Native Communication and Inference via Minimal Simplicial Structures. GLOBECOM 2023: 2233-2238 - [c26]Lina Bariah, Hang Zou, Qiyang Zhao, Belkacem Mouhouche, Faouzi Bader, Mérouane Debbah:
Understanding Telecom Language Through Large Language Models. GLOBECOM 2023: 6542-6547 - [i11]Lina Bariah, Hang Zou, Qiyang Zhao, Belkacem Mouhouche, Faouzi Bader, Mérouane Debbah:
Understanding Telecom Language Through Large Language Models. CoRR abs/2306.07933 (2023) - [i10]Lina Bariah, Qiyang Zhao, Hang Zou, Yu Tian, Faouzi Bader, Mérouane Debbah:
Large Language Models for Telecom: The Next Big Thing? CoRR abs/2306.10249 (2023) - [i9]Hang Zou, Qiyang Zhao, Lina Bariah, Mehdi Bennis, Mérouane Debbah:
Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence. CoRR abs/2307.02757 (2023) - [i8]Qiyang Zhao, Hang Zou, Mehdi Bennis, Mérouane Debbah, Ebtesam Almazrouei, Faouzi Bader:
Joint Semantic-Native Communication and Inference via Minimal Simplicial Structures. CoRR abs/2308.16789 (2023) - [i7]Yu Tian, Qiyang Zhao, Zine El Abidine Kherroubi, Fouzi Boukhalfa, Kebin Wu, Faouzi Bader:
Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction. CoRR abs/2309.11811 (2023) - 2022
- [c25]Qiyang Zhao, Mehdi Bennis, Mérouane Debbah, Daniel Benevides da Costa
:
Semantic-Native Communication: A Simplicial Complex Perspective. GLOBECOM (Workshops) 2022: 1513-1518 - [c24]Stefano Paris, Klaus I. Pedersen, Qiyang Zhao:
Adaptive Discontinuous Reception in 5G Advanced for Extended Reality Applications. VTC Spring 2022: 1-6 - [i6]Qiyang Zhao, Mehdi Bennis, Mérouane Debbah, Daniel Benevides da Costa:
Semantic-Native Communication: A Simplicial Complex Perspective. CoRR abs/2210.16970 (2022) - 2021
- [c23]Qiyang Zhao, Stefano Paris, Teemu Veijalainen, Samad Ali:
Hierarchical Multi-Objective Deep Reinforcement Learning for Packet Duplication in Multi-Connectivity for URLLC. EuCNC/6G Summit 2021: 142-147 - [c22]Daniela Laselva, Laura L. Sanchez, Faranaz Sabouri-S, Qiyang Zhao, Jorma Kaikkonen, Lars Dalsgaard, Pasi Kinnunen:
UE Measurements Relaxation for UE Power Saving in 5G New Radio. VTC Fall 2021: 1-6 - 2020
- [c21]Stefano Paris, Petteri Kela, Daniela Laselva, Qiyang Zhao:
Addressing Reliability Needs of Industrial Applications in 5G NR with Network Coding. VTC Spring 2020: 1-6
2010 – 2019
- 2019
- [j7]Xiaofei Wang, Yiwen Han, Chenyang Wang, Qiyang Zhao, Xu Chen, Min Chen:
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning. IEEE Netw. 33(5): 156-165 (2019) - [c20]Jizheng Jia, Qiyang Zhao:
Siamese Score: Detecting Mode Collapse for GANs. CISP-BMEI 2019: 1-6 - [c19]Jizheng Jia, Qiyang Zhao:
Gender Prediction Based on Chinese Name. NLPCC (2) 2019: 676-683 - 2018
- [c18]Cheng Jiang, Qiyang Zhao, Yuzhong Liu:
Characterizing Adversarial Samples of Convolutional Neural Networks. CISP-BMEI 2018: 1-9 - [i5]Xiaofei Wang, Yiwen Han, Chenyang Wang, Qiyang Zhao, Xu Chen, Min Chen:
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning. CoRR abs/1809.07857 (2018) - 2017
- [c17]Yuzhong Liu, Qiyang Zhao, Cheng Jiang:
Conditional image generation using feature-matching GAN. CISP-BMEI 2017: 1-5 - [c16]Zhehan Li, Jun Chen, Rui Ni, Si Chen, Xu Li, Qiyang Zhao:
Enabling Heterogeneous mMTC by Energy-Efficient and Connectivity-Aware Clustering and Routing. GLOBECOM Workshops 2017: 1-6 - 2016
- [j6]Karina Mabell Gomez, Kandeepan Sithamparanathan, Macia Mut Vidal, Vincent Boussemart, Raquel Ramos, Romain Hermenier, Tinku Rasheed, Leonardo Goratti, Laurent Reynaud, David Grace, Qiyang Zhao, Yunbo Han, Salahedin Rehan, Nils Morozs, Tao Jiang, Isabelle Bucaille, Thomas Wirth, Roberta Campo, Tomaz Javornik:
Aerial base stations with opportunistic links for next generation emergency communications. IEEE Commun. Mag. 54(4): 31-39 (2016) - [j5]Tao Jiang, Qiyang Zhao, David Grace, Alister G. Burr, Tim Clarke:
Single-state Q-learning for self-organised radio resource management in dual-hop 5G high capacity density networks. Trans. Emerg. Telecommun. Technol. 27(12): 1628-1640 (2016) - [j4]Fan Wang, Qiyang Zhao, Baolin Yin, Xu Tao:
Parsing fashion image into mid-level semantic parts based on chain-conditional random fields. IET Image Process. 10(6): 456-463 (2016) - [c15]Fan Wang, Qiyang Zhao, Qingjie Liu, Baolin Yin:
Attribute Based Approach for Clothing Recognition. CCPR (2) 2016: 364-378 - [c14]Ge Chen, Yuzhong Liu, Qiyang Zhao:
Perceptual Decision Making of Humans and Deep Learning Machines: a Behavioral Study. CogSci 2016 - [i4]Qiyang Zhao, Lewis D. Griffin:
Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions. CoRR abs/1603.05145 (2016) - [i3]Qiyang Zhao, Lewis D. Griffin:
Better Image Segmentation by Exploiting Dense Semantic Predictions. CoRR abs/1606.01481 (2016) - 2015
- [j3]Qiyang Zhao, David Grace, Tim Clarke:
Transfer learning and cooperation management: balancing the quality of service and information exchange overhead in cognitive radio networks. Trans. Emerg. Telecommun. Technol. 26(2): 290-301 (2015) - [j2]Zhibin Liu, Qiyang Zhao:
基于几何信息先验分布的似物性推荐方法 (Objectness Proposal Based on Prior Distribution of Geometric Characteristics of Object Regions). 计算机科学 42(9): 303-308 (2015) - [c13]Qiyang Zhao:
Segmenting natural images with the least effort as humans. BMVC 2015: 110.1-110.12 - [c12]Qiyang Zhao, David Grace, Andrej Vilhar, Tomaz Javornik:
Using k-means clustering with transfer and Q learning for spectrum, load and energy optimization in opportunistic mobile broadband networks. ISWCS 2015: 116-120 - 2014
- [c11]Qiyang Zhao, David Grace:
Transfer Learning for QoS Aware Topology Management in Energy Efficient 5G Cognitive Radio Networks. 5GU 2014: 152-157 - [c10]Qiyang Zhao, Zhibin Liu, Baolin Yin:
Cracking BING and Beyond. BMVC 2014 - [c9]Qiyang Zhao, Weibo Li, Fan Wang, Baolin Yin:
Two-Stage Saliency Detection Based on Continuous CRF and Sparse Coding. CCPR (1) 2014: 455-463 - [c8]Qiyang Zhao, David Grace:
Dynamic topology management in flexible aerial-terrestrial networks for public safety. CCS 2014: 1-5 - [c7]Fan Wang, Qiyang Zhao, Baolin Yin:
Refined clothing texture parsing by exploiting the discriminative meanings of sparse codes. ICIP 2014: 5946-5950 - [c6]Nils Morozs, Tim Clarke, David Grace, Qiyang Zhao:
Distributed Q-learning based dynamic spectrum management in cognitive cellular systems: Choosing the right learning rate. ISCC 2014: 1-6 - 2013
- [c5]Qiyang Zhao, David Grace:
Agent transfer learning for cognitive resource management on multi-hop backhaul networks. Future Network & Mobile Summit 2013: 1-10 - [c4]Qiyang Zhao, Tao Jiang, Nils Morozs, David Grace, Tim Clarke:
Transfer Learning: A Paradigm for Dynamic Spectrum and Topology Management in Flexible Architectures. VTC Fall 2013: 1-5 - 2012
- [c3]Qiyang Zhao, David Grace:
Application of cognition based resource allocation strategies on a multi-hop backhaul network. ICCS 2012: 423-427 - [i2]Qiyang Zhao:
NegCut: Automatic Image Segmentation based on MRF-MAP. CoRR abs/1201.2905 (2012) - [i1]Qiyang Zhao:
A Simple Unsupervised Color Image Segmentation Method based on MRF-MAP. CoRR abs/1202.4237 (2012) - 2011
- [j1]Guojie Jin, Baolin Yin, Qiyang Zhao:
Enhancing Software Reuse through Application-level Component Approach. J. Softw. 6(3): 374-385 (2011) - 2010
- [c2]Rui Zhang, Baolin Yin, Qiyang Zhao, Bin Yang:
An efficient color image classification method using gradient magnitude based angle cooccurrence matrix. ICIP 2010: 1073-1076
2000 – 2009
- 2007
- [c1]Qiyang Zhao, Zhonglin Wang, Baolin Yin:
Analysis on the Sensitivity Attack to Watermarking Schemes with Patchwork Detection Boundaries. CIS 2007: 940-944
Coauthor Index
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