Xiaoying Tang

THE END OF MANUAL DECODING: TOWARDS TRULY END-TO-END LANGUAGE MODELS

Entropy-driven Fair and Effective Federated Learning

Exploring the Boundary of Diffusion-based Methods for Solving Constrained Optimization

FedSycle: Mitigating Post-Unlearning Performance Inconsistency in Federated Learning via Latent Feature Decoupling

FLEx: Personalized Federated Learning for Mixture-of-Experts LLMs via Expert Grafting

Fairness-aware Anomaly Detection via Fair Projection

Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models

TRACE: Temporal Grounding Video LLM via Causal Event Modeling

Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies

Entropy-Based Aggregation for Fair and Effective Federated Learning

Prompt-Guided Distillation from Multimodal Large Language Models to Task-specific Models for Multimodal Sentiment Analysis

Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing