Ming Zhang

Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning

Hierarchical Encoding Tree with Modality Mixup for Cross-modal Hashing

AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration

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

Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing

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

MASS:Multi-Agent Simulation Scaling for Portfolio Construction

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction

FMC: Formalization of Natural Language Mathematical Competition Problems

GREAT: GROUP-ACQUIRED BIPARTITE ALIGNMENT FOR GRAPH FAIRNESS ADAPTATION

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

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

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability