Han Yu

Textual Equilibrium Propagation for Deep Compound AI Systems

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection

Cross-View Lewis Weight Fusion Empowering Exemplar Replay for Federated Class-Incremental Learning

Intervention-based Cumulative Causal Fairness Learning

Towards Interference-Free One-Shot Federated Learning via Frequency Domain Aggregation

Provably Continual Unlearning for Large Language Model

Federated Data and Feature Selection by Generalized CUR Decomposition

Information Bottleneck-inspired Efficient and Explainable Federated Active Learning

LoRA Fails under Non-IID Conditions: Rethinking Federated Low-Rank Adaptation

Class-wise Balancing Data Replay for Federated Class-Incremental Learning

CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning

A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning

Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning

Multi-Session Budget Optimization for Forward Auction-based Federated Learning

Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions

Efficient Heterogeneity-Aware Federated Active Data Selection

Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs

Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections

Can Textual Gradient Work in Federated Learning?

Commute Graph Neural Networks

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning

MMD-NSL: Mixed Multinomial Distribution-based Neuro-Symbolic Learning

Intervention-based Causal Discrimination Discovery and Removal

Multi-Session Budget Optimization for Forward Auction-based Federated Learning

Semantic-aligned Query Synthesis for Active Learning

Personalized Federated Learning With Similarity Information Supervisor