About me

I am a Ph.D. candidate in Computer Science at Rutgers University, advised by Prof. Dong Deng. My research centers on near-duplicate text alignment and deduplication for large-scale LLM pretraining datasets, vector databases and approximate nearest neighbor (ANN) search, and sparse attention for efficient LLM inference. Previously, I was a research intern at Alibaba Cloud. I am open to discussions and collaborations, and I am currently on the job market for 2026. Feel free to reach out at zhencan.peng@rutgers.edu.

Publications

  • Dynamic Range-Filtering Approximate Nearest Neighbor Search.
    Zhencan Peng, Miao Qiao, Wenchao Zhou, Feifei Li, Dong Deng.
    PVLDB 2025.

  • Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB.
    Wei Li, Jiachi Zhang, Ye Yin, Yan Li, Zhanyang Zhu, Yuhao Li, Zhencan Peng, Lan Lu, Wenchao Zhou, Liang Lin, Feifei Li.
    ACM SIGMOD 2025 (Industry).

  • Near-Duplicate Text Alignment with One Permutation Hash.
    Zhencan Peng, Yuheng Zhang, Dong Deng.
    ACM SIGMOD 2025.

  • Near-Duplicate Sequence Search at Scale for Large Language Model Memorization Evaluation.
    Zhencan Peng, Zhizhi Wang, Dong Deng.
    ACM SIGMOD 2023.

  • ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches.
    Wenqiang Chen, Shupei Lin, Zhencan Peng, Zhizhi Wang, Pengrui Quan, Chenglin Miao, Guoming Zhang, John Stankovic.
    ACM IMWUT 2024 (Vol. 8, Issue 1).

  • Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation.
    Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Guoming Zhang, Chenglin Miao, Shupei Lin, John Stankovic.
    ACM UIST 2023.

  • NF-Heart: A Near-field Non-contact Continuous User Authentication System via Ballistocardiogram.
    Yandao Huang, Minghui Qiu, Lin Chen, Zhencan Peng, Chenglin Miao, Kaishun Wu.
    ACM IMWUT 2023 (Vol. 7, Issue 1).

  • Making Vibration-based On-body Interaction Robust.
    Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Chenglin Miao, Shupei Lin, John Stankovic.
    ACM/IEEE ICCPS 2022.

  • Toward Device-free and User-independent Fall Detection Using Floor Vibration.
    Kaishun Wu, Yandao Huang, Minghui Qiu, Zhencan Peng, Lu Wang.
    ACM TOSN 2023 (Vol. 19, Issue 1).

Professional Service

  • Organization Member: SIGMOD 2023 Student Programming Contest.

Teaching

  • Lecturer: CS 336 PRINCIPLES OF INFORMATION AND DATA MANAGEMENTOngoing.
  • Teaching Assistant:
    • CS210 Data Management for Data Science2024.
    • CS213 Software Methodology2023.
    • CS539 Database Management Systems2022.

Selected Awards

  • VLDB 2025 Travel Fellowship.
  • SIGMOD 2023 Travel Fellowship.
  • National Scholarship, Ministry of Education, P.R. China (2020).