Ming Zhang

17

Papers

8

Total Citations

Papers (17)

Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation

GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model

TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs

Attention Bootstrapping for Multi-Modal Test-Time Adaptation

LLMEval: A Preliminary Study on How to Evaluate Large Language Models

CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition

All in One Framework for Multimodal Re-identification in the Wild

Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective

ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling

Hypergraph-enhanced Dual Semi-supervised Graph Classification

Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion

PGODE: Towards High-quality System Dynamics Modeling

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation

Cluster-guided Contrastive Class-imbalanced Graph Classification