An Energy-Efficient Cooperative Spectrum Sensing Scheme based on D-S Theory in Cognitive Radio Sensor Networks. - Yu Qiao 004; Zilong Jin; Kan Yao; Tinghuai Ma (IMCOM, 2018)

EESS: An Energy-Efficient Spectrum Sensing Method by Optimizing Spectrum Sensing Node in Cognitive Radio Sensor Networks. - Zilong Jin; Yu Qiao 004; Alex Liu; Lejun Zhang (Wirel. Commun. Mob. Comput., 2018)

A novel node selection scheme for energy-efficient cooperative spectrum sensing using D-S theory. - Zilong Jin; Yu Qiao 004 (Wirel. Networks, 2020)

Transformer-based Communication Resource Allocation for Holographic Beamforming: A Distributed Artificial Intelligence Framework. - Apurba Adhikary; Avi Deb Raha; Yu Qiao 004; Md. Shirajum Munir; Ki Tae Kim 001; Choong Seon Hong (APNOMS, 2023)

Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach. - Huy Q. Le; Yu Qiao 004; Loc X. Nguyen; Luyao Zou; Choong Seon Hong (APNOMS, 2023)

Knowledge Distillation in Federated Learning: Where and How to Distill? - Yu Qiao 004; Chaoning Zhang; Huy Q. Le; Avi Deb Raha; Apurba Adhikary; Choong Seon Hong (APNOMS, 2023)

Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication. - Avi Deb Raha; Apurba Adhikary; Md. Shirajum Munir; Yu Qiao 004; Choong Seon Hong (APNOMS, 2023)

An Artificial Intelligence Framework for Holographic Beamforming: Coexistence of Holographic MIMO and Intelligent Omni-Surface. - Apurba Adhikary; Md. Shirajum Munir; Avi Deb Raha; Yu Qiao 004; Sang Hoon Hong; Eui-Nam Huh; Choong Seon Hong (ICOIN, 2023)

A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Avi Deb Raha; Sang Hoon Hong; Choong Seon Hong (ICOIN, 2023)

An Artificial Intelligent-Driven Semantic Communication Framework for Connected Autonomous Vehicular Network. - Avi Deb Raha; Md. Shirajum Munir; Apurba Adhikary; Yu Qiao 004; Seong-Bae Park; Choong Seon Hong (ICOIN, 2023)

Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO. - Apurba Adhikary; Md. Shirajum Munir; Avi Deb Raha; Yu Qiao 004; Choong Seon Hong (NOMS, 2023)

CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Avi Deb Raha; Choong Seon Hong (NOMS, 2023)

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? - Chaoning Zhang; Chenshuang Zhang; Sheng Zheng; Yu Qiao 004; Chenghao Li; Mengchun Zhang; Sumit Kumar Dam; Chu Myaet Thwal; Ye Lin Tun 001; Le Luang Huy; Dong Uk Kim; Sung-Ho Bae; et al. (CoRR, 2023)

Prototype Helps Federated Learning: Towards Faster Convergence. - Yu Qiao 004; Seong-Bae Park; Sun Moo Kang; Choong Seon Hong (CoRR, 2023)

MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Huy Q. Le; Avi Deb Raha; Chaoning Zhang; Choong Seon Hong (CoRR, 2023)

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. - Chaoning Zhang; Chenshuang Zhang; Chenghao Li; Yu Qiao 004; Sheng Zheng; Sumit Kumar Dam; Mengchun Zhang; Jung Uk Kim; Seong Tae Kim 001; Jinwoo Choi 001; Gyeong-Moon Park; Sung-Ho Bae; et al. (CoRR, 2023)

Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected. - Dongsheng Han; Chaoning Zhang; Yu Qiao 004; Maryam Qamar; Yuna Jung; SeungKyu Lee 001; Sung-Ho Bae; Choong Seon Hong (CoRR, 2023)

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. - Chaoning Zhang; Sheng Zheng; Chenghao Li; Yu Qiao 004; Taegoo Kang; Xinru Shan; Chenshuang Zhang; Caiyan Qin; François Rameau; Sung-Ho Bae; Choong Seon Hong (CoRR, 2023)

Robustness of SAM: Segment Anything Under Corruptions and Beyond. - Yu Qiao 004; Chaoning Zhang; Taegoo Kang; Donghun Kim; Shehbaz Tariq; Chenshuang Zhang; Choong Seon Hong (CoRR, 2023)

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications. - Chaoning Zhang; Dongsheng Han; Yu Qiao 004; Jung Uk Kim; Sung-Ho Bae; Seungkyu Lee; Choong Seon Hong (CoRR, 2023)

Boosting Federated Learning Convergence with Prototype Regularization. - Yu Qiao 004; Huy Q. Le; Choong Seon Hong (CoRR, 2023)

Generative AI-driven Semantic Communication Framework for NextG Wireless Network. - Avi Deb Raha; Md. Shirajum Munir; Apurba Adhikary; Yu Qiao 004; Choong Seon Hong (CoRR, 2023)

Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape. - Chaoning Zhang; Yu Qiao 004; Shehbaz Tariq; Sheng Zheng; Chenshuang Zhang; Chenghao Li; Hyundong Shin; Choong Seon Hong (CoRR, 2023)

Knowledge Distillation Assisted Robust Federated Learning: Towards Edge Intelligence. - Yu Qiao 004; Apurba Adhikary; Ki Tae Kim 001; Chaoning Zhang; Choong Seon Hong (ICC, 2024)

A Power Allocation Framework for Holographic MIMO-Aided Energy-Efficient Cell-Free Networks. - Apurba Adhikary; Avi Deb Raha; Yu Qiao 004; Yu Min Park; Zhu Han 001; Choong Seon Hong (ICC, 2024)

Towards Robust Federated Learning via Logits Calibration on Non-IID Data. - Yu Qiao 004; Apurba Adhikary; Chaoning Zhang; Choong Seon Hong (NOMS, 2024)

Transfer Learning Empowered Power Allocation in Holographic MIMO-enabled Wireless Network. - Apurba Adhikary; Avi Deb Raha; Yu Qiao 004; Seok Won Kang; Choong Seon Hong (NOMS, 2024)

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. - Avi Deb Raha; Mrityunjoy Gain; Rameswar Debnath; Apurba Adhikary; Yu Qiao 004; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism". - Avi Deb Raha; Mrityunjoy Gain; Rameswar Debnath; Apurba Adhikary; Yu Qiao 004; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. - Huy Q. Le; Chu Myaet Thwal; Yu Qiao 004; Ye Lin Tun 001; Minh N. H. Nguyen; Choong Seon Hong (CoRR, 2024)

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity. - Yu Qiao 004; Huy Q. Le; Mengchun Zhang; Apurba Adhikary; Chaoning Zhang; Choong Seon Hong (CoRR, 2024)

A Complete Survey on LLM-based AI Chatbots. - Sumit Kumar Dam; Choong Seon Hong; Yu Qiao 004; Chaoning Zhang (CoRR, 2024)

Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures. - Avi Deb Raha; Apurba Adhikary; Mrityunjoy Gain; Yu Qiao 004; Choong Seon Hong (CoRR, 2024)

Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks. - Yu Qiao 004; Apurba Adhikary; Kitae Kim 001; Eui-Nam Huh; Zhu Han 001; Choong Seon Hong (CoRR, 2024)

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Huy Q. Le; Avi Deb Raha; Chaoning Zhang; Choong Seon Hong (IEEE Internet Things J., 2024)

Integrated Sensing, Localization, and Communication in Holographic MIMO-Enabled Wireless Network: A Deep Learning Approach. - Apurba Adhikary; Md. Shirajum Munir; Avi Deb Raha; Yu Qiao 004; Zhu Han 001; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2024)

Holographic MIMO With Integrated Sensing and Communication for Energy-Efficient Cell-Free 6G Networks. - Apurba Adhikary; Avi Deb Raha; Yu Qiao 004; Walid Saad; Zhu Han 001; Choong Seon Hong (IEEE Internet Things J., 2024)

A Distribution-Aware Robust Federated Learning Framework for Mobile Edge Networks. - Yu Qiao 004; Phuong-Nam Tran 001; Choong Seon Hong (ICOIN, 2025)

Cross-modal prototype based multimodal federated learning under severely missing modality. - Huy Q. Le; Chu Myaet Thwal; Yu Qiao 004; Ye Lin Tun 001; Minh N. H. Nguyen; Eui-Nam Huh; Choong Seon Hong (Inf. Fusion, 2025)

FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. - Huy Q. Le; Minh N. H. Nguyen; Chu Myaet Thwal; Yu Qiao 004; Chaoning Zhang; Choong Seon Hong (Neural Networks, 2025)

Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data. - Yu Qiao 004; Chaoning Zhang; Apurba Adhikary; Choong Seon Hong (IEEE Trans. Netw. Sci. Eng., 2025)

Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes. - Huy Q. Le; Ye Lin Tun 001; Yu Qiao 004; Minh N. H. Nguyen; Keon Oh Kim; Choong Seon Hong (CoRR, 2025)

Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning. - Yu Qiao 004; Huy Q. Le; Apurba Adhikary; Choong Seon Hong (CoRR, 2025)

DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey. - Yu Qiao 004; Phuong-Nam Tran 001; Ji Su Yoon; Loc X. Nguyen; Choong Seon Hong (CoRR, 2025)

Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence. - Yu Qiao 004; Huy Q. Le; Avi Deb Raha; Phuong-Nam Tran 001; Apurba Adhikary; Mengchun Zhang; Loc X. Nguyen; Eui-Nam Huh; Dusit Niyato; Choong Seon Hong (CoRR, 2025)

Boosting Federated Domain Generalization: Understanding the Role of Advanced Pretrained Architectures. - Avi Deb Raha; Kitae Kim 001; Apurba Adhikary; Mrityunjoy Gain; Yu Qiao 004; Zhu Han 001; Choong Seon Hong (IEEE Internet Things J., 2025)