I am Minhui Xie, currently an Assistant Professor and Ph.D. Supervisor (助理教授/特聘研究员/博士生导师) in the School of Computer Science at Nanjing University . Before that, I was a Lecturer in the Department of Computer Science and Technology at Renmin University of China , tightly working with Prof. Yunpeng Chai and Jing Wang. I obtained my Ph.D. degree in the Department of Computer Science and Technology, Tsinghua University, supervised by Prof. Youyou Lu and Jiwu Shu in the Storage Group.

My research focus includes:

Systems Designed for At-Scale Machine Learning (AI Infra)
Machine Learning Aided Storage System Design (AI4Storage)

I am so excited about the interact field between ML and System.

🗞 ️News

July 2026, Our paper Efficient GPU Multitasking with Morphable Kernels has been accepted to SOSP'26.
January 2026, Congrats to Yaxin&Enrui&Wenbo, on winning the second prize nationwide in the College Students' Computer System Capability Competition (PolarDB Database Track).
September 2025, Our paper PIMANN was elected as best storage related papers of ATC 2025 and invited to the fast-tracked publication of ACM TOS.
August 2025, Our paper GuestANN (approximate nearest neighbor search on GPU-direct SSD) has been accepted to SIGMOD'26.
April, 2025, Our paper PIMANN (approximate nearest neighbor search on PIM) has been accepted to USENIX ATC'25.
April, 2025, Our paper GPreempt (scheduling colocated BE/RT jobs on GPUs) has been accepted to USENIX ATC'25.
April, 2025, Our paper (understanding the robustness of learned indexes) has been accepted to SIGMOD'26.
Oct, 2024, Our paper Frugal (embedding model training on commodity GPUs) has been accepted to ASPLOS'25.

🎓欢迎有意科研实习、攻读硕士/博士的同学和我联系！！！

本实验室常年招收博士/硕士/本科实习生（尤其是有出国意向的本科生），欢迎感兴趣的同学邮件联系xieminhui@nju.edu.cn，由于联系的人较多，联系之前麻烦请一定先阅读招生说明。

为什么推荐研究系统方向？

有价值：成果可落地于大规模集群，毕业年薪遥遥领先（周围系统方向博士均入选顶薪人才计划）。
可解释：没有薛定谔的性能，只有确定的、可复现的实验结果；可以通过实验明确知道哪一步耗时多/哪一步是瓶颈，不用调参“求神拜佛”；measure then build！
有挑战：系统研究是计算机科学的“深水区”，没有经过训练的人搞不了。
“铁”饭碗：应用层（LLM、Agent、向量）和硬件层（GPU新特性、奇怪的新硬件）双向驱动系统软件的创新，永远有事情做。

招收2027年入学的保研/考研学生：硕士4名，直博/普博各1-2名；也在南京大学招收2026年已入学硕士若干；同时也欢迎大二-大四本科生加入课题组开展科研工作，方式包括但不限于项目、毕业设计等。

🎓 Work & Education Experience

[2026.08 - now] Assistant Professor, Ph.D. Supervisor, School of Computer Science, Nanjing University, Nanjing, China
[2024.09 - 2026.07] Lecturer, Department of Computer Science, Renmin University of China, Beijing, China
[2019.09 - 2024.06] Ph.D., Department of Computer Science, Tsinghua University, Beijing, China
[2015.09 - 2019.06] B.S., Department of Computer Science, Nanjing University, Jiangsu, China

📝 Publication

Efficient GPU Multitasking with Morphable Kernels.

Tingxu Ren, Ruwen Fan, Hao Guo, Minhui Xie, Shiwei Gao, Jiwu Shu, Youyou Lu,

The 32nd ACM Symposium on Operating Systems Principles (SOSP'26) (CCF-A) ,2026
Paper
High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU.

Haodi Jiang, Hao Guo, Minhui Xie, Jiwu Shu, Youyou Lu,

ACM SIGMOD International Conference on Management of Data (SIGMOD'26) (CCF-A) ,2026
Paper
Understanding Robustness Issues of Updatable Learned Indexes.

Yuanhui Luo, Minhui Xie, Yiheng Tong, Shichao Jiang, Yunpeng Chai,

ACM SIGMOD International Conference on Management of Data (SIGMOD'26) (CCF-A) ,2026
Paper
Unlocking PIM-Core Capabilities for Efficient ANNS on Commodity Processing-in-Memory Hardware.

Puqing Wu, Minhui Xie, Enrui Zhao, Dafang Zhang, Jing Wang, Xiao Liang, Kai Ren, Yunpeng Chai,

ACM Transactions on Storage (TOS) (CCF-A) ,2026
Paper Star
Turbocharge ANNS on Real Processing-in-Memory by Enabling Fine-Grained Per-PIM-Core Scheduling.

Puqing Wu, Minhui Xie, Enrui Zhao, Dafang Zhang, Jing Wang, Kai Ren, Yunpeng Chai,

USENIX Annual Technical Conference (USENIX ATC'25) (CCF-A) ,2025
Best storage related paper, invited for fast-tracked publication in ACM Transactions on Storage
Paper Slides Star
GPreempt: GPU Preemptive Scheduling Made General and Efficient.

Ruwen Fan, Tingxu Ren, Minhui Xie, Shiwei Gao, Jiwu Shu, Youyou Lu,

USENIX Annual Technical Conference (USENIX ATC'25) (CCF-A) ,2025
Paper Slides Star
Frugal: Efficient and Economic Embedding Model Training with Commodity GPUs.

Minhui Xie, Shaoxun Zeng, Hao Guo, Shiwei Gao, Youyou Lu,

The 30th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'25) (CCF-A) ,2025
Paper Slides Star
Medusa: Accelerating Serverless LLM Inference with Materialization.

Shaoxun Zeng, Minhui Xie, Shiwei Gao, Youmin Chen, Youyou Lu,

The 30th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'25) (CCF-A) ,2025
Paper
MI-LLM: Multiplier-Free LLM Inference on Commodity Processing-in-Memory Hardware.

Puyun Hu, Minhui Xie, Linjiang Li, Kuiyaohui Zhang, Erge Xiang, Jing Wang, Size Zheng, Xiao Zhang, Yunpeng Chai,

IEEE Transactions on Computers (TC) (CCF-A) ,2025
Paper
MaxEmbed: Maximizing SSD Bandwidth Utilization for Huge Embedding Models Serving.

Ruwen Fan, Minhui Xie, Haodi Jiang, Youyou Lu,

The 29th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24) (CCF-A) ,2024
Paper
Challenges and Technical Development of Large Model Training Storage Systems.

冯杨洋, 汪庆, 谢旻晖, 舒继武,

计算机研究与发展 ,2024
Paper
PetPS: Supporting Huge Embedding Models with Persistent Memory.

Minhui Xie, Youyou Lu, Qing Wang, Yangyang Feng, Jiaqiang Liu, Kai Ren, Jiwu Shu,

The 49th International Conference on Very Large Data Bases (VLDB'23) (CCF-A) ,2023
Paper Slides Star
Citron: Distributed Range Lock Management with One-sided RDMA.

Jian Gao, Youyou Lu, Minhui Xie, Qing Wang, Jiwu Shu,

The 21st USENIX Conference on File and Storage Technologies (FAST'23) (CCF-A) ,2023
Paper
Patronus: High-Performance and Protective Remote Memory.

Bin Yan, Youyou Lu, Qing Wang, Minhui Xie, Jiwu Shu,

The 21st USENIX Conference on File and Storage Technologies (FAST'23) (CCF-A) ,2023
Paper Slides Star
Mobius: Fine Tuning Large-scale Models on Commodity GPU Servers.

Yangyang Feng, Minhui Xie, Zijie Tian, Shuo Wang, Youyou Lu, Jiwu Shu,

The 28th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'23) (CCF-A) ,2023
Paper Slides
A Recommendation Model Inference System with GPU Direct Storage Access.

谢旻晖, 陆游游, 冯杨洋, 舒继武,

计算机研究与发展 ,2024
Paper
Pacman: An Efficient Compaction Approach for Log-Structured Key-Value Store on Persistent Memory.

Jing Wang, Youyou Lu, Qing Wang, Minhui Xie, Keji Huang, Jiwu Shu,

USENIX Annual Technical Conference (USENIX ATC'22) (CCF-A) ,2022
Paper Slides Star
Fleche: An Efficient GPU Embedding Cache for Personalized Recommendations.

Minhui Xie, Youyou Lu, Jiazhen Lin, Qing Wang, Jian Gao, Kai Ren, Jiwu Shu,

The 17th European Conference on Computer Systems (EuroSys'22) (CCF-A) ,2022
Paper Slides
Nap: Persistent Memory Indexes for NUMA Architectures.

Qing Wang, Youyou Lu, Junru Li, Minhui Xie, Jiwu Shu,

ACM Transactions on Storage (TOS) (CCF-A) ,2022
Paper
Kraken: Memory Efficient Continual Learning for Large-Scale Real-Time Recommendations.

Minhui Xie, Kai Ren, Youyou Lu, Guangxu Yang, Qingxing Xu, Bihai Wu, Jiazhen Lin, Hongbo Ao, Wanhong Xu, Jiwu Shu,

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'20) (CCF-A) ,2020
Paper Slides Star

🏛️ Invited Talks

[2025.11] OpenEuler Summit 2025, Beijing
[2025.10] Huawei ICT Computing, Xianghu Forum, Hangzhou
[2025.10] ACM Turing Award Celebration Conference China 2025, Shenzhen
[2025.08] Tencent, Vector Storage, Shenzhen
[2025.07] Huawei ICT Storage, Resource-Constrained Machine Learning Training, Shanghai
[2025.07] CCF Distributed Computing Network Conference, Lanzhou
[2025.03] ASPLOS’25, Frugal, Rotterdam, Netherlands
[2024.12] OpenHarmony城市论坛，合肥
[2024.12] CCF 存储大会，广州
[2024.11] Huawei ICT Storage, Chengdu
[2023.09] VLDB’23, Persistent memory supported parameter Server
[2023.03] ByteDance, LLM training
[2022.05] NVIDIA, GPU resident cache
[2022.04] EuroSys’22, Fleche - efficient GPU resident embedding cache
[2021.12] Huawei Singapore, memory efficient learning system
[2020.11] SC’20, Kraken - memory efficient continual learning

👨🏾‍💻 Services

IEEE Transactions on Computers (TC), 2025, Reviewer
ACM Transactions on Architecture and Code Optimization (TACO), 2025, Reviewer
IEEE Transactions on Computer (TC), 2024, Reviewer
FAST, 2024, AEC, Reviewer
EuroSys, 2026, PC
EuroSys, 2024,2023,2022, AEC, Reviewer
SOSP, 2023, AEC, Reviewer
OSDI, 2023, 2022, AEC, Reviewer
USENIX ATC, 2023, 2022, AEC, Reviewer
SIGCOMM, 2022, AEC, Reviewer
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022, Reviewer
中国系统学术协会（ChinaSys）长期志愿者

👨🏼‍🏫 Teaching

Academic research methodology, Renmin University, Spring 2025
Main Computer Literature Course (Computer System Orientation), Renmin University, Spring 2025
TA, Computer Organization and Architecture, Tsinghua University, Spring 2023
TA, Computer Organization and Architecture, Tsinghua University, Spring 2022
TA, Computer Organization and Architecture, Tsinghua University, Spring 2021
TA, Computer Organization and Architecture, Tsinghua University, Spring 2020
TA, Introduction to Computer System, Nanjing University, Fall 2017

🎖 Honors and Awards

Ranked 2nd nationwide in the College Students’ Computer System Capability Competition (PolarDB Database Track), Advisor, 2026 全国大学生计算机系统能力大赛数据库赛道（暨 PolarDB 数据库创新设计赛）全国第二名（指导老师），2026年
ACM China Doctoral Dissertation Award, 2 PhDs nationwide were selected, 2025
ACM中国优秀博士论文奖（计算机全学科仅2人），2025年
ACM SIGOPS China (ChinaSys) Doctoral Dissertation Award, 3 system PhDs nationwide were selected, ranked #1, 2025
ACM SIGOPS China 优博论文奖（系统方向仅3人），2025年
CCF Outstanding Doctoral Nominee in Computer Architecture, 2025
CCF体系结构专委优博提名，2025年
Beijing Youth Talent Support Program, 2025
“高创计划”北京市科协青年人才托举计划，北京市科协，2025年
Microsoft StarTrack Scholar, Microsoft, 2025
微软铸星学者计划，微软公司，2025年
Yulan Scholar, Renmin University of China, 2025
玉兰青年学者，中国人民大学，2025年
Wu Yuzhang Talent, Renmin University of China, 2024
吴玉章青年英才，中国人民大学，2024年
Outstanding Graduate, Department of Computer Science, Tsinghua University, 2024
优秀毕业生，清华大学计算机系，2024年
Huawei Top Minds (Offer), 2023
华为公司天才少年（offer），2023年
Huawei PhD Scholarship, Tsinghua University (Sponsored by Huawei), 2023
华为博士奖学金，清华大学 (华为公司资助)，2023年
Alibaba Cloud-CCF Storage Excellent Paper Award, 2023
阿里云-CCF存储专委优秀论文奖，2023年
Longfor Scholarship, Tsinghua University (Sponsored by Longfor Group), 2023
龙湖奖学金，清华大学 (龙湖集团资助)，2023年
Longfor Scholarship, Tsinghua University (Sponsored by Longfor Group), 2022
龙湖奖学金，清华大学 (龙湖集团资助)，2022年
Ganzhou Talent Scholarship, Tsinghua University (Sponsored by Ganzhou Municipal Government), 2022
赣州英才奖学金，清华大学（赣州市政府资助），2022年
Comprehensive First-Class Scholarship, Tsinghua University, 2021
综合一等奖学金，清华大学，2021年
Outstanding Graduate, Nanjing University, 2019
优秀毕业生，南京大学，2019年
National Scholarship, Nanjing University, 2017
国家奖学金，南京大学，2017年

🎖 指导学生获奖

全国大学生计算机系统能力大赛数据库赛道（暨 PolarDB 数据库创新设计赛）全国第二名（指导老师），2026年
截止目前，指导的所有本科毕设均获优秀毕设
- 中国人民大学优秀本科生毕业论文（彭文博），2026年
- 山东大学本科生优秀毕设（单红旗），2026年
- 中国人民大学优秀本科生毕业论文（尹佳），2025年