GNNLab: a factored system for sample-based GNN training over GPUs. - Jianbang Yang; Dahai Tang; Xiaoniu Song; Lei Wang 004; Qiang Yin 002; Rong Chen 001; Wenyuan Yu; Jingren Zhou 001 (EuroSys, 2022)

UGACHE: A Unified GPU Cache for Embedding-based Deep Learning. - Xiaoniu Song; Yiwen Zhang; Rong Chen 001; Haibo Chen 001 (SOSP, 2023)

ProMoE: Fast MoE-based LLM Serving using Proactive Caching. - Xiaoniu Song; Zihang Zhong; Rong Chen (CoRR, 2024)

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model. - Guoqing Ma; Haoyang Huang; Kun Yan; Liangyu Chen 002; Nan Duan; Shengming Yin; Changyi Wan; Ranchen Ming; Xiaoniu Song; Xing Chen; Yu Zhou 010; Deshan Sun; et al. (CoRR, 2025)

Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model. - Haoyang Huang; Guoqing Ma; Nan Duan; Xing Chen; Changyi Wan; Ranchen Ming; Tianyu Wang; Bo Wang; Zhiying Lu; Aojie Li; Xianfang Zeng; Xinhao Zhang; et al. (CoRR, 2025)

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation. - Yinmin Zhong; Zili Zhang; Xiaoniu Song; Hanpeng Hu; Chao Jin; Bingyang Wu; Nuo Chen 001; Yukun Chen; Yu Zhou 010; Changyi Wan; Hongyu Zhou; Yimin Jiang; et al. (CoRR, 2025)

Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding. - Bin Wang; Bojun Wang; Changyi Wan; Guanzhe Huang; Hanpeng Hu; Haonan Jia; Nie Hao; Mingliang Li; Nuo Chen; Siyu Chen; Song Yuan; Wuxun Xie; et al. (CoRR, 2025)