Lessons learned from migrating complex stateful applications onto serverless platforms. - Zewen Jin; Yiming Zhu; Jiaan Zhu; Dongbo Yu; Cheng Li 001; Ruichuan Chen; Istemi Ekin Akkus; Yinlong Xu (APSys, 2021)

Experience Report on Innovative Experiments for Compiler Course. - Wei Xu 044; Zewen Jin; Jiahao Li; Cheng Li (ICCSE (2), 2022)

BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference. - Zewen Jin; Shengnan Wang; Jiaan Zhu; Hongrui Zhan; Youhui Bai; Lin Zhang; Zhenyu Ming; Cheng Li (AAAI, 2025)

HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. - Ping Gong 009; Jiawei Yi; Shengnan Wang; Juncheng Zhang; Zewen Jin; Ouxiang Zhou; Ruibo Liu; Guanbin Xu; Youhui Bai; Bowen Ye; Kun Yuan; Tong Yang 003; et al. (ACL (Findings), 2025)

AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training. - Guanbin Xu; Zhihao Le; Yinhe Chen; Zhiqi Lin; Zewen Jin; Youshan Miao; Cheng Li (NSDI, 2025)

CDRMamba: A framework for automated craniomaxillofacial defect reconstruction using Mamba-based modeling. - Wensheng Wang; Zewen Jin; Xinrong Chen (Biomed. Signal Process. Control., 2025)

NaMA-Mamba: Foundation model for generalizable nasal disease detection using masked autoencoder with Mamba on endoscopic images. - Wensheng Wang; Zewen Jin; Xueli Liu; Xinrong Chen (Comput. Medical Imaging Graph., 2025)

BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference. - Zewen Jin; Shengnan Wang; Jiaan Zhu; Hongrui Zhan; Youhui Bai; Lin Zhang; Zhenyu Ming; Cheng Li 001 (CoRR, 2025)