Su, Junwei

11 publications

ICLR 2026 Full-Graph vs. Mini-Batch Training: Comprehensive Analysis from a Batch Size and Fan-Out Size Perspective Mengfan Liu, Da Zheng, Junwei Su, Chuan Wu

ICLR 2026 Learning Under Quantization for High-Dimensional Linear Regression Dechen Zhang, Junwei Su, Difan Zou

ICML 2025 A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations Junwei Su, Chuan Wu

ACML 2025 Explainable Dynamic Graph Neural Networks for Predictive Maintenance in Vehicle Chassis Systems Wu You, Junwei Su, Sirui Zhang, Zhijian Li

ICML 2025 On the Interplay Between Graph Structure and Learning Algorithms in Graph Neural Networks Junwei Su, Chuan Wu

ICML 2025 SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion Junwei Su, Shan Wu

AAAI 2025 Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks Junwei Su, Shan Wu

CoLLAs 2024 On the Limitation and Experience Replay for GNNs in Continual Learning Junwei Su, Difan Zou, Chuan Wu

ECCV 2024 On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su, Chuan Wu

ICLR 2024 PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks Junwei Su, Difan Zou, Chuan Wu

ICML 2023 Towards Robust Graph Incremental Learning on Evolving Graphs Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu