Analysis on the Sensitivity Attack to Watermarking Schemes with Patchwork Detection Boundaries. - Qiyang Zhao; Zhonglin Wang; Baolin Yin (CIS, 2007)

An efficient color image classification method using gradient magnitude based angle cooccurrence matrix. - Rui Zhang; Baolin Yin; Qiyang Zhao; Bin Yang (ICIP, 2010)

Enhancing Software Reuse through Application-level Component Approach. - Guojie Jin; Baolin Yin; Qiyang Zhao (J. Softw., 2011)

Application of cognition based resource allocation strategies on a multi-hop backhaul network. - Qiyang Zhao; David Grace (ICCS, 2012)

NegCut: Automatic Image Segmentation based on MRF-MAP - Qiyang Zhao (CoRR, 2012)

A Simple Unsupervised Color Image Segmentation Method based on MRF-MAP - Qiyang Zhao (CoRR, 2012)

Agent transfer learning for cognitive resource management on multi-hop backhaul networks. - Qiyang Zhao; David Grace (Future Network & Mobile Summit, 2013)

Transfer Learning: A Paradigm for Dynamic Spectrum and Topology Management in Flexible Architectures. - Qiyang Zhao; Tao Jiang 006; Nils Morozs; David Grace; Tim Clarke (VTC Fall, 2013)

Transfer Learning for QoS Aware Topology Management in Energy Efficient 5G Cognitive Radio Networks. - Qiyang Zhao; David Grace (5GU, 2014)

Cracking BING and Beyond. - Qiyang Zhao; Zhibin Liu; Baolin Yin (BMVC, 2014)

Two-Stage Saliency Detection Based on Continuous CRF and Sparse Coding. - Qiyang Zhao; Weibo Li; Fan Wang; Baolin Yin (CCPR (1), 2014)

Dynamic topology management in flexible aerial-terrestrial networks for public safety. - Qiyang Zhao; David Grace (CCS, 2014)

Refined clothing texture parsing by exploiting the discriminative meanings of sparse codes. - Fan Wang; Qiyang Zhao; Baolin Yin (ICIP, 2014)

Distributed Q-learning based dynamic spectrum management in cognitive cellular systems: Choosing the right learning rate. - Nils Morozs; Tim Clarke; David Grace; Qiyang Zhao (ISCC, 2014)

Segmenting natural images with the least effort as humans. - Qiyang Zhao (BMVC, 2015)

Using k-means clustering with transfer and Q learning for spectrum, load and energy optimization in opportunistic mobile broadband networks. - Qiyang Zhao; David Grace; Andrej Vilhar; Tomaz Javornik (ISWCS, 2015)

Transfer learning and cooperation management: balancing the quality of service and information exchange overhead in cognitive radio networks. - Qiyang Zhao; David Grace; Tim Clarke (Trans. Emerg. Telecommun. Technol., 2015)

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). - Zhibin Liu; Qiyang Zhao (计算机科学, 2015)

Attribute Based Approach for Clothing Recognition. - Fan Wang; Qiyang Zhao; Qingjie Liu; Baolin Yin (CCPR (2), 2016)

Perceptual Decision Making of Humans and Deep Learning Machines: a Behavioral Study. - Ge Chen; Yuzhong Liu; Qiyang Zhao (CogSci, 2016)

Aerial base stations with opportunistic links for next generation emergency communications. - 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; et al. (IEEE Commun. Mag., 2016)

Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions. - Qiyang Zhao; Lewis D. Griffin (CoRR, 2016)

Better Image Segmentation by Exploiting Dense Semantic Predictions. - Qiyang Zhao; Lewis D. Griffin (CoRR, 2016)

Single-state Q-learning for self-organised radio resource management in dual-hop 5G high capacity density networks. - Tao Jiang 006; Qiyang Zhao; David Grace; Alister G. Burr; Tim Clarke (Trans. Emerg. Telecommun. Technol., 2016)

Parsing fashion image into mid-level semantic parts based on chain-conditional random fields. - Fan Wang; Qiyang Zhao; Baolin Yin; Xu Tao (IET Image Process., 2016)

Conditional image generation using feature-matching GAN. - Yuzhong Liu; Qiyang Zhao; Cheng Jiang (CISP-BMEI, 2017)

Enabling Heterogeneous mMTC by Energy-Efficient and Connectivity-Aware Clustering and Routing. - Zhehan Li; Jun Chen; Rui Ni; Si Chen; Xu Li; Qiyang Zhao (GLOBECOM Workshops, 2017)

Characterizing Adversarial Samples of Convolutional Neural Networks. - Cheng Jiang; Qiyang Zhao; Yuzhong Liu (CISP-BMEI, 2018)

Siamese Score: Detecting Mode Collapse for GANs. - Jizheng Jia; Qiyang Zhao (CISP-BMEI, 2019)

Gender Prediction Based on Chinese Name. - Jizheng Jia; Qiyang Zhao (NLPCC (2), 2019)

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning. - Xiaofei Wang 001; Yiwen Han; Chenyang Wang 001; Qiyang Zhao; Xu Chen 004; Min Chen 003 (IEEE Netw., 2019)

Addressing Reliability Needs of Industrial Applications in 5G NR with Network Coding. - Stefano Paris; Petteri Kela; Daniela Laselva; Qiyang Zhao (VTC Spring, 2020)

Hierarchical Multi-Objective Deep Reinforcement Learning for Packet Duplication in Multi-Connectivity for URLLC. - Qiyang Zhao; Stefano Paris; Teemu Veijalainen; Samad Ali (EuCNC/6G Summit, 2021)

UE Measurements Relaxation for UE Power Saving in 5G New Radio. - Daniela Laselva; Laura L. Sanchez; Faranaz Sabouri-S; Qiyang Zhao; Jorma Kaikkonen; Lars Dalsgaard; Pasi Kinnunen (VTC Fall, 2021)

Semantic-Native Communication: A Simplicial Complex Perspective. - Qiyang Zhao; Mehdi Bennis; Mérouane Debbah; Daniel Benevides da Costa (GLOBECOM (Workshops), 2022)

Adaptive Discontinuous Reception in 5G Advanced for Extended Reality Applications. - Stefano Paris; Klaus I. Pedersen; Qiyang Zhao (VTC Spring, 2022)

Understanding Telecom Language Through Large Language Models. - Lina Bariah; Hang Zou; Qiyang Zhao; Belkacem Mouhouche; Faouzi Bader; Mérouane Debbah (GLOBECOM, 2023)

Joint Semantic-Native Communication and Inference via Minimal Simplicial Structures. - Qiyang Zhao; Hang Zou; Mehdi Bennis; Mérouane Debbah; Ebtesam Almazrouei; Faouzi Bader (GLOBECOM, 2023)

Large Language Models for Telecom: The Next Big Thing? - Lina Bariah; Qiyang Zhao; Hang Zou; Yu Tian; Faouzi Bader; Mérouane Debbah (CoRR, 2023)

Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence. - Hang Zou; Qiyang Zhao; Lina Bariah; Mehdi Bennis; Mérouane Debbah (CoRR, 2023)

Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction. - Yu Tian; Qiyang Zhao; Zine El Abidine Kherroubi; Fouzi Boukhalfa; Kebin Wu; Faouzi Bader (CoRR, 2023)

Adaptive Federated Continual Learning for Heterogeneous Edge Environments: A Data-Free Distillation Approach. - Bingqing Jiang; Jun Du 001; Chunxiao Jiang; Ahmed Alhammadi; Qiyang Zhao; Jintao Wang 001 (GLOBECOM, 2024)

Large Language Models for Power Scheduling: A User-Centric Approach. - Thomas Mongaillard; Samson Lasaulce; Othman Hicheur; Chao Zhang 005; Lina Bariah; Vineeth S. Varma; Hang Zou; Qiyang Zhao; Mérouane Debbah (WiOpt, 2024)

GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning. - Hang Zou; Qiyang Zhao; Lina Bariah; Yu Tian; Mehdi Bennis; Samson Lasaulce; Mérouane Debbah; Faouzi Bader (CoRR, 2024)

TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models. - Hang Zou; Qiyang Zhao; Yu Tian; Lina Bariah; Faouzi Bader; Thierry Lestable; Mérouane Debbah (CoRR, 2024)

Large Generative AI Models for Telecom: The Next Big Thing? - Lina Bariah; Qiyang Zhao; Hang Zou; Yu Tian; Faouzi Bader; Mérouane Debbah (IEEE Commun. Mag., 2024)

GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning. - Hang Zou; Qiyang Zhao; Samson Lasaulce; Lina Bariah; Mehdi Bennis; Mérouane Debbah (IEEE Access, 2025)

SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning. - Chixuan Wei; Zhihai Wang; Jidong Yuan; Xiaokang Wang 002; Haiyang Liu; Qiyang Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. - Adnan Shahid; Adrian Kliks; Ahmed Al-Tahmeesschi; Ahmed Elbakary; Alexandros Nikou; Ali Maatouk; Ali Mokh; Amirreza Kazemi; Antonio De Domenico; Athanasios Karapantelakis; Bo Cheng 001; Bo Yang 035; et al. (CoRR, 2025)

Generative AI for RF Sensing in IoT Systems. - Li Wang 039; Chao Zhang 005; Qiyang Zhao; Hang Zou; Samson Lasaulce; Giuseppe Valenzise; Zhuo He; Mérouane Debbah (IEEE Internet Things Mag., 2025)