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ORCIDYu Qiao 0004
Person information
- affiliation: Kyung Hee University, School of Computing, Department of Artificial Intelligence, Yongin, South Korea
- affiliation: Nanjing University of Information Science and Technology, School of Computer and Software, China
Other persons with the same name
- Yu Qiao — disambiguation page
- Yu Qiao 0001
![[0000-0002-1889-2567]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1889-2567")
— Shanghai AI Laboratory, OpenGVLab, China (and 3 more) - Yu Qiao 0002 — Biomedical Imaging Lab, Singapore
- Yu Qiao 0003 — Shanghai Jiao Tong University, Department of Automation, Institute of Image Processing and Pattern Recognition, China (and 1 more)
- Yu Qiao 0005 — RWTH Aachen University, Germany
- Yu Qiao 0006 — Nanjing University, National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, China
2020 – today
- 2025
[j10]Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Eui-Nam Huh, Choong Seon Hong:
Cross-modal prototype based multimodal federated learning under severely missing modality. Inf. Fusion 122: 103219 (2025)- [j9]Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong:
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. Neural Networks 183: 107017 (2025) - [j8]Yu Qiao, Chaoning Zhang, Apurba Adhikary, Choong Seon Hong:
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data. IEEE Trans. Netw. Sci. Eng. 12(2): 636-652 (2025) - [c15]Yu Qiao, Phuong-Nam Tran, Choong Seon Hong:
A Distribution-Aware Robust Federated Learning Framework for Mobile Edge Networks. ICOIN 2025: 256-261 - [i22]Huy Q. Le, Ye Lin Tun, Yu Qiao, Minh N. H. Nguyen, Keon Oh Kim, Choong Seon Hong:
Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes. CoRR abs/2501.08521 (2025) - [i21]Yu Qiao, Huy Q. Le, Apurba Adhikary, Choong Seon Hong:
Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning. CoRR abs/2501.15257 (2025) - [i20]Yu Qiao, Phuong-Nam Tran, Ji Su Yoon, Loc X. Nguyen, Choong Seon Hong:
DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey. CoRR abs/2503.09956 (2025) - 2024
- [j7]Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam:
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. IEEE Access 12: 51942-51965 (2024) - [j6]Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam:
Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism". IEEE Access 12: 118937 (2024) - [j5]Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong:
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. IEEE Internet Things J. 11(5): 8604-8623 (2024) - [j4]Apurba Adhikary, Avi Deb Raha, Yu Qiao, Walid Saad, Zhu Han, Choong Seon Hong:
Holographic MIMO With Integrated Sensing and Communication for Energy-Efficient Cell-Free 6G Networks. IEEE Internet Things J. 11(19): 30617-30635 (2024) - [j3]Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Zhu Han, Choong Seon Hong:
Integrated Sensing, Localization, and Communication in Holographic MIMO-Enabled Wireless Network: A Deep Learning Approach. IEEE Trans. Netw. Serv. Manag. 21(1): 789-809 (2024) - [c14]Yu Qiao, Apurba Adhikary, Ki Tae Kim, Chaoning Zhang, Choong Seon Hong:
Knowledge Distillation Assisted Robust Federated Learning: Towards Edge Intelligence. ICC 2024: 843-848 - [c13]Apurba Adhikary, Avi Deb Raha, Yu Qiao, Yu Min Park, Zhu Han, Choong Seon Hong:
A Power Allocation Framework for Holographic MIMO-Aided Energy-Efficient Cell-Free Networks. ICC 2024: 5546-5552 - [c12]Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong:
Towards Robust Federated Learning via Logits Calibration on Non-IID Data. NOMS 2024: 1-7 - [c11]Apurba Adhikary, Avi Deb Raha, Yu Qiao, Seok Won Kang, Choong Seon Hong:
Transfer Learning Empowered Power Allocation in Holographic MIMO-enabled Wireless Network. NOMS 2024: 1-7 - [i19]Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong:
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. CoRR abs/2401.13898 (2024) - [i18]Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong:
Towards Robust Federated Learning via Logits Calibration on Non-IID Data. CoRR abs/2403.02803 (2024) - [i17]Yu Qiao, Chaoning Zhang, Apurba Adhikary, Choong Seon Hong:
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data. CoRR abs/2404.06776 (2024) - [i16]Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong:
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity. CoRR abs/2404.09259 (2024) - [i15]Sumit Kumar Dam, Choong Seon Hong, Yu Qiao, Chaoning Zhang:
A Complete Survey on LLM-based AI Chatbots. CoRR abs/2406.16937 (2024) - [i14]Avi Deb Raha, Apurba Adhikary, Mrityunjoy Gain, Yu Qiao, Choong Seon Hong:
Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures. CoRR abs/2409.13527 (2024) - [i13]Yu Qiao, Apurba Adhikary, Kitae Kim, Eui-Nam Huh, Zhu Han, Choong Seon Hong:
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks. CoRR abs/2412.19354 (2024) - 2023
- [c10]Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary, Choong Seon Hong:
Knowledge Distillation in Federated Learning: Where and How to Distill? APNOMS 2023: 18-23 - [c9]Avi Deb Raha, Apurba Adhikary, Md. Shirajum Munir, Yu Qiao, Choong Seon Hong:
Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication. APNOMS 2023: 113-118 - [c8]Huy Q. Le, Yu Qiao, Loc X. Nguyen, Luyao Zou, Choong Seon Hong:
Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach. APNOMS 2023: 201-206 - [c7]Apurba Adhikary, Avi Deb Raha, Yu Qiao, Md. Shirajum Munir, Ki Tae Kim, Choong Seon Hong:
Transformer-based Communication Resource Allocation for Holographic Beamforming: A Distributed Artificial Intelligence Framework. APNOMS 2023: 243-246 - [c6]Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Sang Hoon Hong, Eui-Nam Huh, Choong Seon Hong:
An Artificial Intelligence Framework for Holographic Beamforming: Coexistence of Holographic MIMO and Intelligent Omni-Surface. ICOIN 2023: 19-24 - [c5]Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Avi Deb Raha, Sang Hoon Hong, Choong Seon Hong:
A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence. ICOIN 2023: 134-139 - [c4]Avi Deb Raha, Md. Shirajum Munir, Apurba Adhikary, Yu Qiao, Seong-Bae Park, Choong Seon Hong:
An Artificial Intelligent-Driven Semantic Communication Framework for Connected Autonomous Vehicular Network. ICOIN 2023: 352-357 - [c3]Apurba Adhikary, Md. Shirajum Munir, Avi Deb Raha, Yu Qiao, Choong Seon Hong:
Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO. NOMS 2023: 1-7 - [c2]Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Avi Deb Raha, Choong Seon Hong:
CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity. NOMS 2023: 1-5 - [i12]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:
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? CoRR abs/2303.11717 (2023) - [i11]Yu Qiao, Seong-Bae Park, Sun Moo Kang, Choong Seon Hong:
Prototype Helps Federated Learning: Towards Faster Convergence. CoRR abs/2303.12296 (2023) - [i10]Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong:
MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. CoRR abs/2304.01950 (2023) - [i9]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:
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. CoRR abs/2304.06488 (2023) - [i8]Dongsheng Han, Chaoning Zhang, Yu Qiao, Maryam Qamar, Yuna Jung, SeungKyu Lee, Sung-Ho Bae, Choong Seon Hong:
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected. CoRR abs/2305.00278 (2023) - [i7]Chaoning Zhang, Sheng Zheng, Chenghao Li, Yu Qiao, Taegoo Kang, Xinru Shan, Chenshuang Zhang, Caiyan Qin, François Rameau, Sung-Ho Bae, Choong Seon Hong:
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. CoRR abs/2306.06211 (2023) - [i6]Yu Qiao, Chaoning Zhang, Taegoo Kang, Donghun Kim, Shehbaz Tariq, Chenshuang Zhang, Choong Seon Hong:
Robustness of SAM: Segment Anything Under Corruptions and Beyond. CoRR abs/2306.07713 (2023) - [i5]Chaoning Zhang, Dongsheng Han, Yu Qiao, Jung Uk Kim, Sung-Ho Bae, Seungkyu Lee, Choong Seon Hong:
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications. CoRR abs/2306.14289 (2023) - [i4]Yu Qiao, Huy Q. Le, Choong Seon Hong:
Boosting Federated Learning Convergence with Prototype Regularization. CoRR abs/2307.10575 (2023) - [i3]Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong:
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning. CoRR abs/2307.13214 (2023) - [i2]Avi Deb Raha, Md. Shirajum Munir, Apurba Adhikary, Yu Qiao, Choong Seon Hong:
Generative AI-driven Semantic Communication Framework for NextG Wireless Network. CoRR abs/2310.09021 (2023) - [i1]Chaoning Zhang, Yu Qiao, Shehbaz Tariq, Sheng Zheng, Chenshuang Zhang, Chenghao Li, Hyundong Shin, Choong Seon Hong:
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape. CoRR abs/2311.11465 (2023) - 2020
- [j2]Zilong Jin, Yu Qiao:
A novel node selection scheme for energy-efficient cooperative spectrum sensing using D-S theory. Wirel. Networks 26(1): 269-281 (2020)
2010 – 2019
- 2018
- [j1]Zilong Jin, Yu Qiao, Alex Liu, Lejun Zhang:
EESS: An Energy-Efficient Spectrum Sensing Method by Optimizing Spectrum Sensing Node in Cognitive Radio Sensor Networks. Wirel. Commun. Mob. Comput. 2018: 9469106:1-9469106:11 (2018) - [c1]Yu Qiao, Zilong Jin, Kan Yao, Tinghuai Ma:
An Energy-Efficient Cooperative Spectrum Sensing Scheme based on D-S Theory in Cognitive Radio Sensor Networks. IMCOM 2018: 58:1-58:6
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