Publications
Lab published papers.
A curated publication list focused on trustworthy AI, federated learning, privacy, robustness, and efficient machine learning. We prioritize publishing in top-tier, peer-reviewed AI/ML venues. Our recent contributions have been accepted at leading conferences such as CVPR, NeurIPS, ECCV, ICML, ICLR, AAAI, ACL, WWW, and WACV.
2026
- MCP: From Context Compression to Mining for Efficient RAG-based LLM Serving IEEE ICDM 2026: A*
- GARFIELD: Graph-Adaptive SSM for Explainable 3D Multi-Person WiFi Pose Estimation BMVC 2026: A
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- H-SFP: Hierarchical Federated Learning with Decoupled Split-Model Prototyping ECCV 2026: A*
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Memory-efficient Continual Learning with Prototypical Exemplar Condensation CVPR 2026 Findings: A* (CVPR) Preprint -
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2025
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An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity IEEE Transactions on Neural Networks and Learning Systems 2025: Impact Factor 8.9 PaperPreprint -
SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning for Image Transmission IEEE Transactions on Mobile Computing 2025: Impact Factor 9.2 PaperPreprint -
- FedDDF: Dynamic Dataset Filtering in Federated Large Language Model Training FL-AsiaCCS 2025 Workshop Paper
- FedKoE: Enhancing Federated Multimodal Learning through Knowledge of Experts FL-AsiaCCS 2025 Workshop Paper
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2024
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Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Engineering Applications of Artificial Intelligence 2024: Impact Factor 8.0 Paper - Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition IEEE Access 2024: Impact Factor 3.6 Paper
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Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning IEEE Transactions on Emerging Topics in Computing 2024: Impact Factor 5.4 Paper -
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Fooling the Textual Fooler via Randomizing Latent Representations Findings of ACL 2024: A* (ACL) PaperPreprint -
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Towards Efficient Communication Federated Recommendation System via Low-rank Training The Web Conference 2024: A* PaperPreprint -
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2023
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FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training IEEE Transactions on Network and Service Management 2023: Impact Factor 4.7 PaperPreprint -
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2022
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Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks IEEE Access 2022: Impact Factor 3.9 Paper -
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2021
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Efficient two-party integer comparison with block vectorization mechanism IEEE Access 2021: Impact Factor 3.476 Paper