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:

• Deep learning for data-driven applications.
• Unified Analytics over structured and relatioinal data.
• AIxDB systems; In-database analytics.

Publication

$\bullet$ [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.

$\bullet$ [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.

$\bullet$ [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.

$\bullet$ [ICCV 2023] Learning in imperfect environment: Multi-label classification with long-tailed distribution and partial labels. [pdf]
Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yuncheng Wu.

$\bullet$ [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.

$\bullet$ [APWeb 2022] Synbert: Chinese synonym discovery on privacy-constrain medical terms
with pre-trained bert [link]
Lingze Zeng, Chang Yao, Meihui Zhang, Zhongle Xie.

Education

• National University of Singapore (NUS) 2023 - Present   
  • Ph.D. in Computer Science
  • School of Computing
  • Advisor: Prof. Ooi Beng Chin
• Beijing Institute of Technology (BIT) 2016 - 2020   
  • BSc in Software Engineering
  • School of Computer Science and Technology
  • Advisor: Prof. Zhang Meihui

Internship

• National University of Singapore (NUS) 2022 - 2023   
  • Research Assistant
  • Topics: Data Engine for Cohort Analysis; Relational Data Analytics
  • Cohort OLAP system (COOL) [pdf] [website]
• Institute of Computing Innovation, Zhejiang University (ZJU) 2020 - 2021   
  • Research Assistant
  • Topics: Named Entity Recognition; Medical Synonym Discovery
  • CHIP 2021 Competition Task 1. Rank 1st Solution. [code]
  • NLP open-source tool ark-nlp ;
  • Mentor: Dr. Xie Zhongle