Mengzhu Wang

DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS

Dual-Structure Self-Distilled Learning for Enhancing Unsupervised Semantic Segmentation

Degree-Conscious Spiking Graph for Cross-Domain Adaptation

Fair Out-of-Distribution Detection

Rethinking the Identification Capability of Out-of-Distribution Detection

A Unified and Data-Efficient Framework for Out-of-Distribution and Generalization

Phase-guided Perceptual Alignment for Multi-source Multi-modal Domain Adaptation

Degree-aware Spiking Graph Domain Adaptation for Classification

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation

Coupling Category Alignment for Graph Domain Adaptation

Enhanced Semantic Alignment in Transformer Tracking via Position Learning and Force-Directed Attention

Continuous Spiking Graph ODE Networks

Open-World Test-Time Training: Self-Training with Contrastive Learning

Sequence Denoising with Self-Augmentation for Knowledge Tracing

MMG-VL: A Vision-Language Driven Approach for Multi-Person Motion Generation

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation

Leveraging VLMs for MUDA：A Category-Specific Prompting with Multi-Modal Low-Rank Adapter

SgCG: Semantic-guided Contrastive Generalization for Medical Image Segmentation