| 2026 | STOC | Provable Long-Range Benefits of Next-Token Prediction. | Xinyuan Cao, Santosh S. Vempala |
| 2026 | SIGCOMM | Dragonfly-Ultra: A Scalable, Low-Cost Network Architecture for High-Performance AI Clusters. | Rui Zhuang, Hui Yuan, Junye Zhang, Kefei Liu, Jie Li, Weiqiang Cheng, Yuting Wu, Xinyuan Cao, Xiangyu Chen, Zixuan Guan, Shengnan Yue, Ruixue Wang, Tong Yang, Xiaolong Zheng |
| 2025 | ICML | On the Power of Learning-Augmented Search Trees. | Jingbang Chen, Xinyuan Cao, Alicia Stepin, Li Chen |
| 2024 | ICLR | StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. | Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang |
| 2024 | IWQoS | Efficient Multi-Task Asynchronous Federated Learning in Edge Computing. | Xinyuan Cao, Tao Ouyang, Kongyange Zhao, Yousheng Li, Xu Chen |
| 2024 | IWQoS | FedCarbon: Carbon-Efficient Federated Learning with Double Flexible Controls for Green Edge AI. | Yousheng Li, Tao Ouyang, Xu Chen, Xinyuan Cao |
| 2023 | WWW | Graph-Level Embedding for Time-Evolving Graphs. | Lili Wang, Chenghan Huang, Xinyuan Cao, Weicheng Ma, Soroush Vosoughi |
| 2022 | AISTATS | Provable Lifelong Learning of Representations. | Xinyuan Cao, Weiyang Liu, Santosh S. Vempala |
| 2021 | CIKM | Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. | Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi |