Yiming Qiao

Yiming Qiao

Phd student in Institute for Interdisciplinary Information Sciences, Tsinghua University

Yiming Qiao

I am a Ph.D. student in Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University, where I am advised by Prof. Huanchen Zhang. My research focuses on database management systems, with particular interests in vectorized execution, query optimization, and data compression. I obtained my Bachelor’s degree from Nanjing University of Posts and Telecommunications in 2021.

Currently, I am exploring Multi-modal Query Execution to bridge the gap between structured and unstructured data processing. Additionally, I am interested in optimizing training and inference engines for Large Language Models (LLMs).


[CV]

PUBLICATIONS

  1. Yiming Qiao, Peter Boncz, Huanchen Zhang, “Robust Predicate Transfer with Dynamic Execution,” Proceddings of the VLDB Endowment (VLDB’26), 2026. (To appear).
    [Paper] [Code]

  2. Yiming Qiao, Huanchen Zhang, “Data Chunk Compaction in Vectorized Execution,” Proceedings of the ACM on Management of Data (SIGMOD’25) 3(1): Article 26, 25 pages.
    [Paper] [Code] [Poster] [Slides]

  3. Yiming Qiao, Yihan Gao, Huanchen Zhang, “Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing,” Proceedings of the VLDB Endowment (VLDB’24) 17, no. 10, pp. 2528 - 2540.
    [Paper] [Code] [Poster] [Slides]

  4. Hu Zhu*, Yiming Qiao*, Guoxia Xu, Lizhen Deng, and Yu-Feng Yu. “DSPNet: A Lightweight Dilated Convolution Neural Networks for Spectral Deconvolution with Self-paced Learning,” IEEE Transactions on Industrial Informatics (TII) 16, no. 12 (2019): 7392-7401. (*Equal Contribution)

  5. Huihui Wang, Shunmei Meng, Yiming Qiao, and Jing Zhang. “Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers,” Proceedings of 2019 IEEE International Conference on Data Mining (ICDM’19), Nov. 2019, pp. 1354 - 1359.

EXPERIENCE

  • Suanzhi Future / Ubiquant | AI System Research Intern | Beijing Dec. 2025 – Present
  • Tencent | Summer Intern (Qingyun Program) | Shanghai July 2025 – Oct. 2025
  • Centrum Wiskunde & Informatica | Visiting Student | Amsterdam Feb. 2025 – May. 2025
    Advisor: Prof. Peter Boncz
  • Oracle | Software Engineering Intern | Nanjing Nov. 2019 – May 2020
  • Nanjing University | Exchange Student | Nanjing Sept. 2018 – June 2019

HONORS, PATENTS & SERVICES

Selected Awards

  • SIGMOD Programming Contest 2025, Third Place Team, 2025.
  • Zhang Mingwei Comprehensive Scholarship, Tsinghua University, 2024.
  • Excellent Comprehensive Scholarship of IIIS, Tsinghua University, 2023.
  • Bell Honors School Graduate Gold Medal, Nanjing University of Posts and Telecommunications, 2020.
  • Mitacs Globalink Research Internship, fully funded by China Scholarship Council, 2020 (12 weeks).
  • First-Class Scholarship, Nanjing University of Posts and Telecommunications, 2019.

Patents

  1. Xingguo Chen, Yiming Qiao, Wei Liu, Jie Zhu, “A User-Oriented Method for Enhancing Custom Sports Commentary,” Patent CN202010284204.8, China, Filed Apr. 2020, Granted Sept. 2023.

  2. Zhiqiang Zou, Linrui Li, Shuyu Chang, Yiming Qiao, “A Classification Method for Outlier Celestial Objects Based on Astronomical Spectral Data,” Patent CN202010983397.6, China, Grant Dec. 2024.

Talks & Service

  • Artifact Availability and Reproducibility Committee (ARC), SIGMOD 2025.
  • Invited Talk: Dynamic Execution in Robust Predicate Transfer, CWI Amsterdam, Sep. 12, 2025
  • Invited Talk: Robust Predicate Transfer with Dynamic Execution, Tencent Cloud, Sep. 2, 2025.
  • Teaching Assistant: Quantitative Investment and Financial Optimization (Tsinghua 80470273) - Fall 2023.
  • Teaching Assistant: Data Mining (Tsinghua 40470333) - Fall 2021
  • Certificate: Private Equity Comprehensive Competency Enhancement Program Certificate, Tsinghua GPEI, 2023.