DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. - Zaoxing Liu; Zhihao Bai; Zhenming Liu; Xiaozhou Li; Changhoon Kim; Vladimir Braverman; Xin Jin 008; Ion Stoica (USENIX ATC, 2019)

Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection. - Hang Zhu; Zhihao Bai; Jialin Li 001; Ellis Michael; Dan R. K. Ports; Ion Stoica; Xin Jin 008 (Proc. VLDB Endow., 2019)

PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications. - Zhihao Bai; Zhen Zhang 063; Yibo Zhu; Xin Jin 008 (OSDI, 2020)

Runtime Recovery of Web Applications under Zero-Day ReDoS Attacks. - Zhihao Bai; Ke Wang 040; Hang Zhu; Yinzhi Cao; Xin Jin 008 (SP, 2021)

Transparent GPU Sharing in Container Clouds for Deep Learning Workloads. - Bingyang Wu; Zili Zhang; Zhihao Bai; Xuanzhe Liu; Xin Jin 008 (NSDI, 2023)

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. - Ziheng Jiang; Haibin Lin; Yinmin Zhong; Qi Huang; Yangrui Chen; Zhi Zhang; Yanghua Peng; Xiang Li 067; Cong Xie; Shibiao Nong; Yulu Jia; Sun He; et al. (NSDI, 2024)

DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. - Xin Jin 008; Zhihao Bai; Zhen Zhang 063; Yibo Zhu; Yinmin Zhong; Xuanzhe Liu (IEEE/ACM Trans. Netw., 2024)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. - Chao Jin; Ziheng Jiang; Zhihao Bai; Zheng Zhong; Juncai Liu; Xiang Li 067; Ningxin Zheng; Xi Wang; Cong Xie; Qi Huang; Wen Heng; Yiyuan Ma; et al. (CoRR, 2025)