I'm Lingze, a Ph.D candidate in the School of Computing, National University of Singapore (NUS).
Advised by Prof. Ooi Beng Chin, I mainly work on:
[SIGMOD 2026]
NRBench:A Benchmark Suite for Learned Database Components with Drift Modeling
[pdf]
Zhanhao Zhao, Haotian Gao, Naili Xing, Lingze Zeng, Meihui Zhang, Gang Chen, Manuel Rigger,
Beng Chin Ooi.
[ICML 2025]
NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics.
[pdf]
Changshuo Liu, Lingze Zeng, Kaiping Zheng, Shaofeng Cai, Beng Chin Ooi, James Wei Luen Yip.
[VLDB 2025]
Powering In-database Dynamic Model Slicing for Structured Data Analytics
[pdf]
Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu.
[Science China 2024]
NeurDB: an AI-powered autonomous data system
[pdf]
Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing,
Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao.
[ICCV 2023]
Multi-label classification with long-tailed distribution and partial labels
[pdf]
Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yuncheng Wu.
[DASFAA 2022]
A two-phase approach for recognizing tables with complex structures
[link]
Huichao Li, Lingze Zeng, Weiyu Zhang, Jianing Zhang, Ju Fan, Meihui Zhang.
[APWeb 2022]
Synbert: Chinese synonym discovery on privacy-constrain medical terms with pre-trained bert
[link]
Lingze Zeng, Chang Yao, Meihui Zhang, Zhongle Xie.
National University of Singapore (NUS) 2023 - Present
Beijing Institute of Technology (BIT) 2016 - 2020
National University of Singapore (NUS) 2022 - 2023
Institute of Computing Innovation, Zhejiang University (ZJU) 2020 - 2021