Yuhao Zhang

Yuhao Zhang

Tianjin University

I am currently an Associate Researcher with the College of Intelligence and Computing, Tianjin University, Tianjin, China. And I am a member of TANK Lab, led by Prof.Keqiu Li. From 2022 to 2024, I was a Postdoctoral Researcher in the Storage Research Group (advised by Prof.Jiwu Shu and Youyou Lu), Department of Computer Science and Technology, Tsinghua University, Beijing, China. I received the PhD degree from the School of Computer Science and Technology, Shandong University, Qingdao, China, in June 2022. My research interest includes storage system and AI system.

We are seeking highly self-motivated PhD/Master/undergraduate students with strong programming skills to work on storage systems, operating systems, and AI systems. If you’re interested, feel free to reach out with your CV.

🔥 News

  • 🎉2025.08:   Our paper entitled “μShare: Non-Intrusive Kernel Co-Locating on NVIDIA GPUs” has been accepted by HPCA’26.
  • 🎉2025.03:   Our paper entitled “Stripeless Data Placement for Erasure-Coded In-Memory Storage” has been accepted by OSDI’25.
  • 🎉2024.07:   Our paper entitled “Achieving Wire-Latency Storage Systems by Exploiting Hardware ACKs” has been accepted by NSDI’25.
  • 🎉2024.07:   Our paper entitled “Deft: A Scalable Tree Index for Disaggregated Memory” has been accepted by Eurosys’25.
  • 🎉2024.07:   Our paper entitled “Ares-Flash: Efficient Parallel Integer Arithmetic Operations Using NAND Flash Memory” has been accepted by MICRO’24.
  • 🎉2024.05:   Our paper entitled “Full Lifecycle Data Analysis on a Large-scale and Leadership Supercomputer: What Can We Learn from It?” has been accepted by USENIX ATC’24.

💬 Research Topics

Storage system:

  • Distributed Storage System with Fast/Smart CXL/Network Devices (e.g., RDMA/Smart NIC).
  • Near Data Processing System (i.e., Processing-in-memory and Computing-in-Storage) with Emerging Devices (e.g., DIMM PIM Modules and Smart SSD).

AI system:

  • Task Scheduling and Memory/Storage Management System for Large Scale AI Models.
  • High Performance Networking System for Large Scale AI Models.

📝 Publications

Check my full publication list on google scholar.

  • μShare: Non-Intrusive Kernel Co-Locating on NVIDIA GPUs.[PDF]
    Wenhao Huang, Zhaolin Duan, Laiping Zhao, Yuhao Zhang, Yanjie Wang, Yiming Li, Yihan Wang, Yichi Chen, Zhihang Tang, Kang Chen, Deze Zeng, Wenxin Li, Keqiu Li.
    The 32nd IEEE International Symposium on High-Performance Computer Architecture (HPCA’26), 2026, CCF-A.

  • Stripeless Data Placement for Erasure-Coded In-Memory Storage.[PDF]
    Jian Gao, Jiwu Shu, Bin Yan, Yuhao Zhang, Keji Huang.
    The 19nd USENIX Symposium on Operating Systems Design and Implementation (OSDI’25), 2025, CCF-A.

  • Achieving Wire-Latency Storage Systems by Exploiting Hardware ACKs.[PDF]
    Qing Wang, Jiwu Shu, Jing Wang, Yuhao Zhang.
    The 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI’25), 2025, CCF-A.

  • Deft: A Scalable Tree Index for Disaggregated Memory.[PDF]
    Jing Wang, Qing Wang, Yuhao Zhang, Jiwu Shu.
    The 20th European Conference on Computer Systems (Eurosys’25), 2025, CCF-A.

  • Ares-Flash: Efficient Parallel Integer Arithmetic Operations Using NAND Flash Memory.[PDF]
    Jian Chen, Congming Gao, Youyou Lu, Yuhao Zhang, Jiwu Shu.
    57th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO’24), 2024, CCF-A.

  • Full Lifecycle Data Analysis on a Large-scale and Leadership Supercomputer: What Can We Learn from It?[PDF]
    Bin Yang, Hao Wei, Wenhao Zhu, Yuhao Zhang, Weiguo Liu, Wei Xue.
    USENIX Annual Technical Conference (USENIX ATC’24), 2024, CCF-A.

  • A Semantic-integrated LSM-tree based Key-Value Storage Engine for Blockchain Systems.[PDF]
    Qian Wei, Zehao Chen, Yuhao Zhang, Xiaojun Cai, Zhiping Jia, Zhaoyan Shen, Yi Wang, Zili Shao, Bingzhe Li.
    IEEE Transactions on Computer-Aided Design of Integrated Circuits And System (TCAD), 2024, CCF-A.

  • Towards High-throughput Neural Network Inference with Computational BRAM on Nonvolatile FPGAs.[PDF]
    Hao Zhang, Mengying Zhao, Huichuan Zheng, Yuqing Xiong, Yuhao Zhang, Zhaoyan Shen.
    Design, Automation & Test in Europe (DATE’24), 2024, CCF-B.

  • Perseid: A Secondary Indexing Mechanism for LSM-based Storage Systems.[PDF]
    Jing Wang, Youyou Lu, Qing Wang, Yuhao Zhang, Jiwu Shu.
    ACM Transactions on Storage (TOS), 2024, CCF-A.

  • ASHL: An Adaptive Multi-stage Distributed Deep Learning Training Scheme for Heterogeneous Environments.[PDF]
    Zhaoyan Shen, Qingxiang Tang, Tianren Zhou, Yuhao Zhang, Zhiping Jia, Dongxiao Yu, Zhiyong Zhang, Bingzhe Li.
    IEEE Transactions on Computers (TC), 2024, CCF-A.

  • Static Scheduling of Weight Programming for DNN Acceleration with Resource Constrained PIM.[PDF]
    Xin Gao, Hongyue Wang, Yiyan Chen, Yuhao Zhang, Zhaoyan Shen, Lei Ju.
    Transactions on Embedded Computing Systems (TECS), 2023, CCF-B.

  • Revisiting Secondary Indexing in LSM-based Storage Systems with Persistent Memory.[PDF]
    Jing Wang, Youyou Lu, Qing Wang, Yuhao Zhang, Jiwu Shu.
    USENIX Annual Technical Conference (USENIX ATC’23), 2023, CCF-A.

  • PQ-PIM: A Pruning-Quantization Joint Optimization Framework for ReRAM-Based Processing-in-Memory DNN Accelerator.[PDF]
    Yuhao Zhang, Xinyu Wang, Xikun Jiang, YuhanYang, Zhaoyan Shen, Zhiping Jia.
    Journal of Systems Architecture (JSA), 2022, CCF-B.

  • An Efficient Highly Parallelized ReRAM-based Architecture for Motion Estimation of HEVC.[PDF]
    Yuhao Zhang, Bing Liu, Zhiping Jia, Renhai Chen, Zhaoyan Shen.
    Journal of Systems Architecture (JSA), 2021, CCF-B.

  • A Practical Highly Paralleled ReRAM-based DNN Accelerator by Reusing Weight Pattern Repetitions.[PDF]
    Yuhao Zhang, Zhiping Jia, Hongchao Du, Runzhen Xue, Zhaoyan Shen, Zili Shao.
    IEEE Transactionson Computer-Aided Design of Integrated Circuits And System (TCAD), 2021, CCF-A.

  • PattPIM: A Practical ReRAM-Based DNN Accelerator by Reusing Weight Pattern Repetitions.[PDF]
    Yuhao Zhang, Zhiping Jia, Yungang Pan, Hongchao Du, Zhaoyan Shen, Mengying Zhao, Zili Shao.
    Design Automation Conference (DAC’20), 2020, CCF-A.

🎖 Honors and Awards

  • Outstanding Graduate, Shandong University, 2022.

  • Outstanding Academic Achievement Award for Graduate Students, Shandong University, 2022.(1 PhD students from the the the school of computer science and technology were selected).

  • National Scholarship for Ph.D. Graduate Students, Shandong University, 2021. (2 PhD students from the the the school of computer science and technology were selected)