Jiancheng Lv

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach

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

EquiCAD: A Geometric Equivariant Neural Network for 3D Shape Classification

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

DD-Ranking: Rethinking the Evaluation of Dataset Distillation

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning

Experience-Driven Exploration for Efficient API-Free AI Agents

Towards Distribution-Aware Active Learning for Data-Efficient Neural Architecture Predictor

stUAI: Uncertainty-Aware Clustering of Spatially Resolved Transcriptomics Data

Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information

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

Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths

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