| 2026 | EuroSys | HetAuto: Cross-Cluster Auto-Parallelism for Heterogeneous Distributed Training. | Guicheng Qi, Junwei Su, Liqi Yang, Tao Li, Tingwen Xie, Yerui Sun, Yuchen Xie, Chuan Wu |
| 2025 | AAAI | Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks. | Junwei Su, Shan Wu |
| 2025 | ICML | On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks. | Junwei Su, Chuan Wu |
| 2025 | ICML | A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations. | Junwei Su, Chuan Wu |
| 2025 | ICML | SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion. | Junwei Su, Shan Wu |
| 2024 | ECCV | On the Topology Awareness and Generalization Performance of Graph Neural Networks. | Junwei Su, Chuan Wu |
| 2024 | EuroSys | CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. | Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu |
| 2024 | ICASSP | MTRGL: Effective Temporal Correlation Discerning Through Multi-Modal Temporal Relational Graph Learning. | Junwei Su, Shan Wu, Jinhui Li |
| 2024 | ICLR | PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks. | Junwei Su, Difan Zou, Chuan Wu |
| 2024 | KDD | MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline. | Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu |
| 2023 | ICML | Towards Robust Graph Incremental Learning on Evolving Graphs. | Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu |
| 2018 | TrustCom | A Systematic Method on PDF Privacy Leakage Issues. | Yun Feng, Baoxu Liu, Xiang Cui, Chaoge Liu, Xuebin Kang, Junwei Su |