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2020 – today
- 2024
[j1]Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu:
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. Proc. VLDB Endow. 17(13): 4813-4826 (2024)- [i4]Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu:
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR abs/2405.00568 (2024) - [i3]Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao:
NeurDB: An AI-powered Autonomous Data System. CoRR abs/2405.03924 (2024) - 2023
- [c1]Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yueting Zhuang:
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. ICCV 2023: 1423-1432 - [i2]Changshuo Liu, Wenqiao Zhang, Beng Chin Ooi, James Wei Luen Yip, Lingze Zeng, Kaiping Zheng:
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis. CoRR abs/2304.04468 (2023) - [i1]Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yueting Zhuang:
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. CoRR abs/2304.10539 (2023)
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