About Me
I am currently a second-year Ph.D. candidate in the School of Computer Science at Peking University, advised by Prof. Xin Jin and Prof. Xuanzhe Liu.
My research interests include machine learning systems, distributed storage, and smartNICs, with a recent focus on system for large language models (LLMs).
I received my B.S. degree in computer science from the School of Electronics Engineering and Computer Science (EECS), Peking University in 2023.
Email: zhurd (at) pku (dot) edu (dot) cn
Publications
🏛️ Conference Papers
DistRS: Disaggregated Reward Service for RLVR with Batch-Level Constraint
Ruidong Zhu, Mingcong Han, Yinmin Zhong, Wencong Xiao, Xuanzhe Liu, Xin Jin
NSDI 2026
MegaScale-Infer: Efficient Mixture-of-Experts Model Serving with Disaggregated Expert Parallelism
Ruidong Zhu\*, Ziheng Jiang\*, Chao Jin\*, Peng Wu, Cesar A. Stuardo, Dongyang Wang, Xinlei Zhang, Huaping Zhou, Haoran Wei, Yang Cheng, Jianzhe Xiao, Xinyi Zhang, Lingjun Liu, Haibin Lin, Li-Wen Chang, Jianxi Ye, Xiao Yu, Xuanzhe Liu, Xin Jin, Xin Liu
(* Equal Contribution)
SIGCOMM 2025
dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving
Bingyang Wu, Ruidong Zhu, Zili Zhang, Peng Sun, Xuanzhe Liu, Xin Jin
OSDI 2024
Disaggregated RAID Storage in Modern Datacenters
Junyi Shu, Ruidong Zhu, Yun Ma, Gang Huang, Hong Mei, Xuanzhe Liu, Xin Jin
ASPLOS 2023
Efficient Synthesis of Method Call Sequences for Test Generation and Bounded Verification
Yunfan Zhang, Ruidong Zhu, Yingfei Xiong, Tao Xie
ASE 2022
📖 Journal Articles
Epiphron: Resource-Efficient Distributed Key-Value Storage
Ruidong Zhu, Zili Zhang, Bingyang Wu, Xin Yao, Renhai Chen, Gong Zhang, Xuanzhe Liu, Xin Jin
TKDE 2026
Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving
Ruidong Zhu, Ziyue Jiang, Zhi Zhang, Xin Liu, Xuanzhe Liu, Xin Jin
TPDS 2025
📄 Preprints
Truncated Proximal Policy Optimization
Tiantian Fan, Lingjun Liu, Yu Yue, Jiaze Chen, Chengyi Wang, Qiying Yu, Chi Zhang, Zhiqi Lin, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Bole Ma, Mofan Zhang, Gaohong Liu, Ru Zhang, Haotian Zhou, Cong Xie, Ruidong Zhu, Zhi Zhang, Xin Liu, Mingxuan Wang, Lin Yan, Yonghui Wu
arXiv
Teaching
- Teaching Assistant, Introduction to Computation (A) at PKU, 2024 Fall.
- Teaching Assistant, Introduction to Computation (A) at PKU, 2023 Fall.
- Teaching Assistant, Introduction to Computer System at PKU, 2021 Fall.
Internship
- ByteDance [2024.3 - now], Research Intern of Seed-Foundation-Infra.
- Microsoft Research Asia [2022.2 - 2022.5], Research Intern of Networking Research System.