Wenchao Xu

Latest

Cross-modal Representation Flattening for Multi-modal Domain Generalization
Detached and Interactive Multimodal Learning
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence
Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
OTAS: An Elastic Transformer Serving System via Token Adaptation
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
Multimodal Dual-embedding Networks for Malware Open-set Recognition
Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit
Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing
Peak AoI Minimization with Directional Charging for Data Collection at Wireless-Powered Network Edge
Rethinking Personalized Client Collaboration in Federated Learning
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
Towards Unbiased Training in Federated Open-world Semi-supervised Learning
Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge
PMR: Prototypical Modal Rebalance for Multimodal Learning
Joint Beamformer Design and User Scheduling for Integrated Terrestrial-Satellite Networks
Long-term Adaptive VCG Auction Mechanism for Sustainable Federated Learning with Periodical Client Shifting
Mobile Collaborative Learning over Opportunistic Internet of Vehicles
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model
Towards Real-Time Inference Offloading with Distributed Edge Computing: the Framework and Algorithms
Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration
UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection
AoI Minimization Charging at Wireless-Powered Network Edge
Sustainable Federated Learning with Long-term Online VCG Auction Mechanism
Layer-wised Model Aggregation for Personalized Federated Learning
PS+: A Simple yet Effective Framework for Fast Training on Parameter Server
Parameterized Knowledge Transfer for Personalized Federated Learning
Augmenting Drive-Thru Internet via Reinforcement Learning-Based Rate Adaptation
Autonomous Rate Control for Mobile Internet of Things: A Deep Reinforcement Learning Approach
A Queueing Analysis of the Opportunistic Vehicle-to-Vehicle Communication
Efficient Rate Adaptation for 802.11af TVWS Vehicular Access via Deep Learning