Naiqing Guan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Heavy Tailed Distributions

Theoretical Framework

Regression Methods

Top Venues

Publications

Naiqing Guan, Nick Koudas
ActiveDP: Bridging Active Learning and Data Programming. CoRR (2024)
Naiqing Guan, Nick Koudas
ActiveDP: Bridging Active Learning and Data Programming. EDBT (2024)
Naiqing Guan, Nick Koudas
WeShap: Weak Supervision Source Evaluation with Shapley Values. CoRR (2024)
Naiqing Guan, Kaiwen Chen, Nick Koudas
Can Large Language Models Design Accurate Label Functions? CoRR (2023)
Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
Estimating Regression Predictive Distributions with Sample Networks. AAAI (2023)
Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
Estimating Regression Predictive Distributions with Sample Networks. CoRR (2022)
Naiqing Guan, Nick Koudas
FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget. SIGMOD Conference (2022)
Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. ISCA (2021)
Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. CoRR (2021)
Lin Hu, Naiqing Guan, Lei Zou
Triangle Counting on GPU Using Fine-Grained Task Distribution. ICDE Workshops (2019)