Yu Qiao

57 papers B 4C 4Journal 42Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Age of Sensing Empowered Holographic ISAC Framework for nextG Wireless Networks: A VAE and DRL Approach.
IEEE Trans. Netw. Serv. Manag.
Apurba Adhikary, Avi Deb Raha, Yu Qiao, Md. Shirajum Munir, Mrityunjoy Gain, Zhu Han, Choong Seon Hong
2026 J jnl
Agentic AI as a Network Control-Plane Intelligence Layer for Federated Learning over 6G.
CoRR
Loc X. Nguyen, Ji Su Yoon, Huy Q. Le, Yu Qiao, Avi Deb Raha, Eui-Nam Huh, Nguyen H. Tran, Zhu Han, Choong Seon Hong
2026 J jnl
An Age of Service and Transformer-Driven Transfer Learning Framework for Holographic MIMO-Enabled 6G Networks.
IEEE Trans. Netw. Sci. Eng.
Apurba Adhikary, Yu Qiao, Avi Deb Raha, Luyao Zou, Mrityunjoy Gain, Zhu Han, Choong Seon Hong
2026 J jnl
DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey.
ACM Comput. Surv.
Yu Qiao, Phuong-Nam Tran, Ji Su Yoon, Loc X. Nguyen, Eui-Nam Huh, Dusit Tao Niyato, Choong Seon Hong
2026 J jnl
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks.
IEEE Trans. Netw. Sci. Eng.
Yu Qiao, Apurba Adhikary, Kitae Kim, Eui-Nam Huh, Zhu Han, Choong Seon Hong
2026 J jnl
Performance Analysis of Shallow Convolutional Neural Network-Based Hybrid Model for Image Classification.
SN Comput. Sci.
Arman Ahmed Shawon, Fatema Jannat Dihan, Yu Qiao, Md. Bipul Hossain, Saydul Akbar Murad, Mahadi Hasan, Luyao Zou, Monishanker Halder, Avi Deb Raha, Mrityunjoy Gain, Apurba Adhikary
2026 J jnl
Robust Federated Learning With Heterogeneous Clients via Classifier Calibration and Alignment.
IEEE Internet Things J.
Yu Qiao, Zilong Jin, Avi Deb Raha, Apurba Adhikary, Eui-Nam Huh, Dusit Niyato, Zhu Han, Choong Seon Hong
2025 — conf
A Distribution-Aware Robust Federated Learning Framework for Mobile Edge Networks.
ICOIN
Yu Qiao, Phuong-Nam Tran, Choong Seon Hong
2025 J jnl
Boosting Federated Domain Generalization: Understanding the Role of Advanced Pretrained Architectures.
IEEE Internet Things J.
Avi Deb Raha, Kitae Kim, Apurba Adhikary, Mrityunjoy Gain, Yu Qiao, Zhu Han, Choong Seon Hong
2025 J jnl
Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation.
CoRR
Loc X. Nguyen, Ji Su Yoon, Huy Q. Le, Yu Qiao, Avi Deb Raha, Eui-Nam Huh, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong
2025 J jnl
Cross-modal prototype based multimodal federated learning under severely missing modality.
Inf. Fusion
Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Eui-Nam Huh, Choong Seon Hong
2025 J jnl
DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey.
CoRR
Yu Qiao, Phuong-Nam Tran, Ji Su Yoon, Loc X. Nguyen, Choong Seon Hong
2025 J jnl
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning.
Neural Networks
Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong
2025 J jnl
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data.
IEEE Trans. Netw. Sci. Eng.
Yu Qiao, Chaoning Zhang, Apurba Adhikary, Choong Seon Hong
2025 J jnl
Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes.
CoRR
Huy Q. Le, Ye Lin Tun, Yu Qiao, Minh N. H. Nguyen, Keon Oh Kim, Choong Seon Hong
2025 J jnl
Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning.
CoRR
Yu Qiao, Huy Q. Le, Apurba Adhikary, Choong Seon Hong
2025 J jnl
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence.
CoRR
Yu Qiao, Huy Q. Le, Avi Deb Raha, Phuong-Nam Tran, Apurba Adhikary, Mengchun Zhang, Loc X. Nguyen, Eui-Nam Huh, Dusit Niyato, Choong Seon Hong
2024 J jnl
A Complete Survey on LLM-based AI Chatbots.
CoRR
Sumit Kumar Dam, Choong Seon Hong, Yu Qiao, Chaoning Zhang
2024 — conf
A Power Allocation Framework for Holographic MIMO-Aided Energy-Efficient Cell-Free Networks.
ICC
Apurba Adhikary, Avi Deb Raha, Yu Qiao, Yu Min Park, Zhu Han, Choong Seon Hong
2024 J jnl
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism.
IEEE Access
Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam
2024 J jnl
Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures.
CoRR
Avi Deb Raha, Apurba Adhikary, Mrityunjoy Gain, Yu Qiao, Choong Seon Hong
2024 J jnl
Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism".
IEEE Access
Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam
2024 J jnl
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.
CoRR
Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong
2024 J jnl
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity.
CoRR
Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
2024 J jnl
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks.
CoRR
Yu Qiao, Apurba Adhikary, Kitae Kim, Eui-Nam Huh, Zhu Han, Choong Seon Hong
2024 J jnl
Holographic MIMO With Integrated Sensing and Communication for Energy-Efficient Cell-Free 6G Networks.
IEEE Internet Things J.
Apurba Adhikary, Avi Deb Raha, Yu Qiao, Walid Saad, Zhu Han, Choong Seon Hong
2024 J jnl
Integrated Sensing, Localization, and Communication in Holographic MIMO-Enabled Wireless Network: A Deep Learning Approach.
IEEE Trans. Netw. Serv. Manag.
Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Zhu Han, Choong Seon Hong
2024 — conf
Knowledge Distillation Assisted Robust Federated Learning: Towards Edge Intelligence.
ICC
Yu Qiao, Apurba Adhikary, Ki Tae Kim, Chaoning Zhang, Choong Seon Hong
2024 J jnl
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data.
CoRR
Yu Qiao, Chaoning Zhang, Apurba Adhikary, Choong Seon Hong
2024 J jnl
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence.
IEEE Internet Things J.
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
2024 B conf
Towards Robust Federated Learning via Logits Calibration on Non-IID Data.
NOMS
Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
2024 J jnl
Towards Robust Federated Learning via Logits Calibration on Non-IID Data.
CoRR
Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
2024 B conf
Transfer Learning Empowered Power Allocation in Holographic MIMO-enabled Wireless Network.
NOMS
Apurba Adhikary, Avi Deb Raha, Yu Qiao, Seok Won Kang, Choong Seon Hong
2023 J jnl
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
CoRR
Chaoning Zhang, Chenshuang Zhang, Sheng Zheng, Yu Qiao, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun, Le Luang Huy, Dong Uk Kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In So Kweon, Choong Seon Hong
2023 — conf
A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence.
ICOIN
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Avi Deb Raha, Sang Hoon Hong, Choong Seon Hong
2023 J jnl
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering.
CoRR
Chaoning Zhang, Sheng Zheng, Chenghao Li, Yu Qiao, Taegoo Kang, Xinru Shan, Chenshuang Zhang, Caiyan Qin, François Rameau, Sung-Ho Bae, Choong Seon Hong
2023 — conf
An Artificial Intelligence Framework for Holographic Beamforming: Coexistence of Holographic MIMO and Intelligent Omni-Surface.
ICOIN
Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Sang Hoon Hong, Eui-Nam Huh, Choong Seon Hong
2023 — conf
An Artificial Intelligent-Driven Semantic Communication Framework for Connected Autonomous Vehicular Network.
ICOIN
Avi Deb Raha, Md. Shirajum Munir, Apurba Adhikary, Yu Qiao, Seong-Bae Park, Choong Seon Hong
2023 B conf
Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO.
NOMS
Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Choong Seon Hong
2023 J jnl
Boosting Federated Learning Convergence with Prototype Regularization.
CoRR
Yu Qiao, Huy Q. Le, Choong Seon Hong
2023 B conf
CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity.
NOMS
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Avi Deb Raha, Choong Seon Hong
2023 J jnl
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.
CoRR
Chaoning Zhang, Dongsheng Han, Yu Qiao, Jung Uk Kim, Sung-Ho Bae, Seungkyu Lee, Choong Seon Hong
2023 J jnl
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning.
CoRR
Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong
2023 C conf
Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach.
APNOMS
Huy Q. Le, Yu Qiao, Loc X. Nguyen, Luyao Zou, Choong Seon Hong
2023 J jnl
Generative AI-driven Semantic Communication Framework for NextG Wireless Network.
CoRR
Avi Deb Raha, Md. Shirajum Munir, Apurba Adhikary, Yu Qiao, Choong Seon Hong
2023 C conf
Knowledge Distillation in Federated Learning: Where and How to Distill?
APNOMS
Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary, Choong Seon Hong
2023 J jnl
MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence.
CoRR
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
2023 J jnl
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era.
CoRR
Chaoning Zhang, Chenshuang Zhang, Chenghao Li, Yu Qiao, Sheng Zheng, Sumit Kumar Dam, Mengchun Zhang, Jung Uk Kim, Seong Tae Kim, Jinwoo Choi, Gyeong-Moon Park, Sung-Ho Bae, Lik-Hang Lee, Pan Hui, In So Kweon, Choong Seon Hong
2023 J jnl
Prototype Helps Federated Learning: Towards Faster Convergence.
CoRR
Yu Qiao, Seong-Bae Park, Sun Moo Kang, Choong Seon Hong
2023 J jnl
Robustness of SAM: Segment Anything Under Corruptions and Beyond.
CoRR
Yu Qiao, Chaoning Zhang, Taegoo Kang, Donghun Kim, Shehbaz Tariq, Chenshuang Zhang, Choong Seon Hong
2023 J jnl
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected.
CoRR
Dongsheng Han, Chaoning Zhang, Yu Qiao, Maryam Qamar, Yuna Jung, Seungkyu Lee, Sung-Ho Bae, Choong Seon Hong
2023 C conf
Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication.
APNOMS
Avi Deb Raha, Apurba Adhikary, Md. Shirajum Munir, Yu Qiao, Choong Seon Hong
2023 C conf
Transformer-based Communication Resource Allocation for Holographic Beamforming: A Distributed Artificial Intelligence Framework.
APNOMS
Apurba Adhikary, Avi Deb Raha, Yu Qiao, Md. Shirajum Munir, Ki Tae Kim, Choong Seon Hong
2023 J jnl
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape.
CoRR
Chaoning Zhang, Yu Qiao, Shehbaz Tariq, Sheng Zheng, Chenshuang Zhang, Chenghao Li, Hyundong Shin, Choong Seon Hong
2020 J jnl
A novel node selection scheme for energy-efficient cooperative spectrum sensing using D-S theory.
Wirel. Networks
Zilong Jin, Yu Qiao
2018 — conf
An Energy-Efficient Cooperative Spectrum Sensing Scheme based on D-S Theory in Cognitive Radio Sensor Networks.
IMCOM
Yu Qiao, Zilong Jin, Kan Yao, Tinghuai Ma
2018 J jnl
EESS: An Energy-Efficient Spectrum Sensing Method by Optimizing Spectrum Sensing Node in Cognitive Radio Sensor Networks.
Wirel. Commun. Mob. Comput.
Zilong Jin, Yu Qiao, Alex Liu, Lejun Zhang