I am an associate professor in the School of Computer Science and Engineering, Beihang University (BUAA). I was a postdoc researcher in the Department of Computer Science and Technology, Tsinghua University. I received my PhD degree from Tsinghua University in 2022 (advised by Professor Jiwu Shu and Youyou Lu), and Bachelor degree from Huazhong University of Science and Technology (HUST) in 2017.
My research interests are primarily in storage systems and AI systems, focusing on enhancing their performance and reliability. My work has been published in top-tier conferences and journals on computer systems, including OSDI, SOSP, FAST, USENIX ATC, EuroSys, ASPLOS, HPCA and ACM TOS.
⭐ We are seeking self-motivated Master, PhD, and undergraduate students with strong programming skills to join our research in computer systems and architectures. If you're interested, feel free to reach out with your CV.
🔥 News
- 🎉 Apr 2025. SpanTrain (AI training system) has been accepted to J-BDR.
- 🎉 Feb 2025. CaMDN (AI accelerator) has been accepted to DAC’25.
- 🎉 Jan 2025. CoServe (AI inference system) has been accepted to ASPLOS’25.
- 🎉 Nov 2024. Zebra (ZNS SSD RAID) has been accepted to HPCA’25.
- 🎉 August 2024. I will join Beihang University as an associate professor.
🔍 Research Topics
- I/O Stack and File System on Modern/Future Storage Devices (e.g., NVMe and CXL SSD)
- Consistency and Reliability: HORAE (OSDI’20), ccNVMe (SOSP’21)
- Concurrency and Scalability: MAX (USENIX ATC’21)
- Computational Storage (Smart SSD): λ-IO (FAST’23)
- Distributed and Networked Storage System on Fast Network Devices (e.g., RDMA NIC and DPU)
- Disaggregated Storage (NVMe-oF): RIO (EuroSys’23), ccNVMe-oF (ACM TOS), Volley (EuroSys’24)
- Distributed File System: SuperFS (#1 in the IO500 10-node Metadata Challenge, SC’22), SingularFS (USNNIX ATC’23)
- RDMA-based Storage: TeRM (FAST’24, ACM TOS)
- Efficient and Scalable Computer System and Architecture for New Applications (e.g., AI and LLM)
- AI Inference/Serving System: CoServe (ASPLOS’25), PipeBoost
- AI Training System: SpanTrain
- AI Accelerator: CaMDN (DAC’25)
📝 Selected Publications
📰 Conference Papers
- CaMDN: Enhancing Cache Efficiency for Multi-tenant DNNs on Integrated NPUs, DAC 2025, (CCF-A)
Tianhao Cai, Liang Wang, Limin Xiao, Meng Han, Zeyu Wang, Lin Sun, Xiaojian Liao - CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory, ASPLOS 2025, (CCF-A)
Jiashun Suo, Xiaojian Liao*, Limin Xiao*, Li Ruan, Jinquan Wang, Xiao Su, Zhisheng Huo - Zebra: Efficient Redundant Array of Zoned Namespace SSDs Enabled by Zone Random Write Area (ZRWA), HPCA 2025, (CCF-A)
Tianyang Jiang, Guangyan Zhang, Xiaojian Liao, Yuqi Zhou - Volley: Accelerating Write-Read Orders in Disaggregated Storage, EuroSys 2024, (CCF-A)
Shaoxun Zeng, Xiaojian Liao, Hao Guo, Youyou Lu - TeRM: Extending RDMA-Attached Memory with SSD, FAST 2024, (CCF-A)
Zhe Yang, Qing Wang, Xiaojian Liao, Youyou Lu, Keji Huang, Jiwu Shu - SingularFS: A Billion-Scale Distributed File System Using a Single Metadata Server, USENIX ATC 2023, (CCF-A)
Hao Guo, Youyou Lu, Wenhao Lv, Xiaojian Liao, Shaoxun Zeng, Jiwu Shu - λ-IO: A Unified IO Stack for Computational Storage, FAST 2023, (CCF-A)
Zhe Yang, Youyou Lu, Xiaojian Liao, Youmin Chen, Junru Li, Siyu He, Jiwu Shu - RIO: Order-Preserving and CPU-Efficient Remote Storage Access, EuroSys 2023, (CCF-A)
Xiaojian Liao, Zhe Yang, Jiwu Shu - Crash Consistent Non-Volatile Memory Express, SOSP 2021, (CCF-A)
Xiaojian Liao, Youyou Lu, Zhe Yang, Jiwu Shu - Max: A Multicore-Accelerated File System for Flash Storage, USENIX ATC 2021, (CCF-A)
Xiaojian Liao, Youyou Lu, Erci Xu, Jiwu Shu - Write Dependency Disentanglement with HORAE, OSDI 2020, (CCF-A)
Xiaojian Liao, Youyou Lu, Erci Xu, Jiwu Shu
📖 Journal Papers
- SpanTrain: A Cross-Domain Distributed Model Training System for Cloud-Edge-End Heterogeneous Devices, Journal of Big Data Research (大数据, In Chinese), 2025, (CCF-T2)
Jinquan Wang, Xuzhao Liu, Xiaojian Liao*, Limin Xiao*, Zhisheng Huo, Jiashun Suo, Yuntong Li, Runnan Shen, Xilong Xie, Xicheng Tang - Efficiently Enlarging RDMA-Attached Memory with SSD, ACM TOS 2025, (CCF-A)
Zhe Yang, Qing Wang, Xiaojian Liao, Youyou Lu, Keji Huang, Jiwu Shu - Efficient Crash Consistency for NVMe over PCIe and RDMA, ACM TOS 2023, (CCF-A)
Xiaojian Liao, Youyou Lu, Zhe Yang, Jiwu Shu - Progress on Storage Systems for Disaggregated Data Centers, SCIENTIA SINICA Informationis (中国科学: 信息科学, In Chinese), 2023, (CCF-T1)
Jiwu Shu, Youmin Chen, Qing Wang, Jing Wang, Junru Li, Xiaojian Liao - A Low-Latency Storage Engine with Low CPU Overhead, Journal of Computer Research and Development (计算机研究与发展, in Chinese), 2023, (CCF-T1)
Xiaojian Liao, Zhe Yang, Hongzhang Yang, Yaofeng Tu, Jiwu Shu
🏅 Selected Honors & Awards
- 2022, SuperFS ranked #1 in the IO500 10-node Metadata Challenge, SC’22
- 2022, ACM SIGOPS ChinaSys Doctoral Dissertation Award
- 2022, Shuimu Tsinghua Scholar (清华大学水木学者)
- 2022, Distinguished Doctoral Graduate of Tsinghua University (清华大学优秀博士毕业生, 5 PhDs in CS department)
- 2022, Distinguished Doctoral Dissertation Award of Tsinghua University (清华大学优秀博士学位论文, 9 PhDs in CS department)
- 2021, First Prize of Shenzhen Science and Technology Improvement Award （深圳市科技进步奖一等奖）
- 2021, Zhong Shimo Scholarship (清华计算机系钟士模奖学金, the highest honour of CS students of Tsinghua, 4 postgraduate students)
- 2021, First Prize of 1984 Innovation Scholarship (only 1 project was awarded)
- 2020, ByteDance Scholars Program (10 students nationwide were selected)
🕑 Professional Services
- 2024-2025, Journal Reviewer of IEEE Transactions on Computers
- 2024, Program committee of the 26th ACM SIGOPS ChinaSys workshop
- 2023, Program committee of the 10th ACM Eurosys PaPoc workshop
- 2022, Journal reviewer of IEEE Transactions on Cloud Computing