Wei Ju

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

Automatic Instance Selection with Genetic Updating for Few-shot LLM Jailbreak

Hierarchical Encoding Tree with Modality Mixup for Cross-modal Hashing

PRISM: Partial-label Relational Inference with Spatial and Spectral Cues

LANO: Large Language Models as Active Annotation Agents for Open-World Node Classification

ETA: Dual Evidence-Aware Uncertainty Learning for Open-Set Graph Domain Adaptation

Dynamic Multi-sample Mixup with Gradient Exploration for Open-set Graph Anomaly Detection

Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing

CARE: Contextual Affinity Exploration with Twin Concordance for Graph Out-Of-Distribution Detection

PURE: Prototypical Mutual Prompting Enhancement for Zero-shot Text-attributed Graph Learning

Twin Evolution with Meta Preference Optimization for Semi-Supervised Learning of Large Language Models

stUAI: Uncertainty-Aware Clustering of Spatially Resolved Transcriptomics Data

Reward-guided Meta-Prompt Evolving with Reflection for LLM Jailbreaking

Towards Efficient Fairness Image Retrieval with Disentangled Information Suppression

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction

Prototypical Environment-aware Proxy with Coordinated Optimization for Multi-agent Dynamics Modeling

LIGHT: LLM-guided Graph Expert Routing for Semi-supervised Domain Generalization

Rewarding the Journey, Not Just the Destination: A Composite Path and Answer Self-Scoring Reward Mechanism for Test-Time Reinforcement Learning

GREAT: GROUP-ACQUIRED BIPARTITE ALIGNMENT FOR GRAPH FAIRNESS ADAPTATION

Test-Time Safety Alignment with Dynamic Intervention for Jailbreak Defense in LLMs

Court Simulation with Multifaceted Agent Judgment for LLM Jailbreak Evaluation

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

DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning

SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision

Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation

ExLM: Rethinking the Impact of $[MASK]$ Tokens in Masked Language Models

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision

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