Tianming Liu

$\text{BrainM}^3$: A Multi-Task Learning Framework Based on A Multi-Level Mixture- of-Experts for Cross-Disease and Cross-Domain Dementia Diagnosis

A Unified SVD Perspective: Deconstructing, Evaluating, and Improving Model Merging with Ortho-Merge

Memory Injection Attacks on LLM Agents via Query-Only Interaction

ECHOPulse: ECG Controlled Echocardio-gram Video Generation

3D-CT-GPT++: Enhancing 3D Radiology Report Generation with Direct Preference Optimization and Large Vision-Language Models

Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization

EpilepsyFM: Foundation Model for Learning Generalized Epileptic Representations from EEG and SEEG Signals

An Efficient LLM Alignment Framework for Automated Radiology Impression Generation

Brain-like Functional Organization within Large Language Models

BrainSF: A Foundation Model for Whole Brain Functional Signals Forecasting