Yao Zhang

15

Papers

173

Total Citations

Papers (15)

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning

WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models

Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference

GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs

DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency

Reinforcement Learning Enhanced Explainer for Graph Neural Networks

MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms

CASTLE: Regularization via Auxiliary Causal Graph Discovery

Gradient Regularized V-Learning for Dynamic Treatment Regimes

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification

VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain

Learning outside the Black-Box: The pursuit of interpretable models

SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes