Accès ouvert
2026
preprint
OpenAlex
Bo Li, Xin Zheng, Ming Jin, Can Wang et autres
Test-time adaptation (TTA) on graphs aims to adapt a graph neural network (GNN) that is well-trained on the training graph to the test graph, which involves potential distribution shifts that may harm model generalization and test-time inference. While recent efforts have investigated …
Accès ouvert
2026
preprint
OpenAlex
Hongjiang Chen, Xin Zheng, Pengfei Jiao, Huan Liu et autres
Temporal graph neural networks (TGNNs) have gained significant traction for solving real-world temporal graph tasks. However, their interpretability remains limited, as most TGNNs fail to identify which historical interactions most influence a given prediction. Despite promising progress on interpretable TGNNs, existing methods …
Accès ouvert
2026
preprint
OpenAlex
Jiasheng Zheng, Xin Zheng, Boxi Cao, Pengbo Wang et autres
Code sandboxes have emerged as a critical infrastructure for advancing the coding capabilities of large language models, providing verifiable feedback for both RL training and evaluation. However, existing systems fail to provide accurate verification and efficiency under high-concurrency workloads. We present ScaleBox, …
2026
conference-paper
OpenAlex
Xinkang Zhou, Xunjie Zhang, Ao Wang, Yupeng Chen et autres