Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. - Wenqiao Zhang; Changshuo Liu; Lingze Zeng; Beng Chin Ooi; Siliang Tang; Yueting Zhuang (ICCV, 2023)

Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis. - Changshuo Liu; Wenqiao Zhang; Beng Chin Ooi; James Wei Luen Yip; Lingze Zeng; Kaiping Zheng (CoRR, 2023)

NeurDB: an AI-powered autonomous data system. - Beng Chin Ooi; Shaofeng Cai; Gang Chen 001; Yanyan Shen; Kian-Lee Tan; Yuncheng Wu; Xiaokui Xiao; Naili Xing; Cong Yue; Lingze Zeng; Meihui Zhang 001; Zhanhao Zhao (Sci. China Inf. Sci., 2024)

NeurDB: An AI-powered Autonomous Data System. - Beng Chin Ooi; Shaofeng Cai; Gang Chen 001; Kian-Lee Tan; Yuncheng Wu; Xiaokui Xiao; Naili Xing; Cong Yue; Lingze Zeng; Meihui Zhang 001; Zhanhao Zhao (CoRR, 2024)

Powering In-Database Dynamic Model Slicing for Structured Data Analytics. - Lingze Zeng; Naili Xing; Shaofeng Cai; Gang Chen 001; Beng Chin Ooi; Jian Pei 001; Yuncheng Wu (Proc. VLDB Endow., 2024)

NeurBench: Benchmarking Learned Database Components with Data and Workload Drift Modeling. - Zhanhao Zhao; Haotian Gao; Naili Xing; Lingze Zeng; Meihui Zhang 001; Gang Chen 001; Manuel Rigger; Beng Chin Ooi (CoRR, 2025)