Zhen Wang

BRep: Graph-structured Brain Representation Learning via Parametric High-order Dependence Measures

CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

Emergence of Machine Language in LLM-based Agent Communication

Disentangled Graph Spectral Domain Adaptation

A Closer Look at Graph Transformers: Cross-Aggregation and Beyond

LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks

Do We Really Need Message Passing in Brain Network Modeling?

Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner

DUALFormer: Dual Graph Transformer

Erasing Concept Combination from Text-to-Image Diffusion Model

Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration

Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling

Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models

Understanding When and Why Graph Attention Mechanisms Work via Node Classification