Triangle Counting on GPU Using Fine-Grained Task Distribution. - Lin Hu; Naiqing Guan; Lei Zou 001 (ICDE Workshops, 2019)

TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. - Liqiang Lu; Naiqing Guan; Yuyue Wang 001; Liancheng Jia; Zizhang Luo; Jieming Yin; Jason Cong; Yun Liang 001 (ISCA, 2021)

FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget. - Naiqing Guan; Nick Koudas (SIGMOD Conference, 2022)

Estimating Regression Predictive Distributions with Sample Networks. - Ali Harakeh; Jordan Sir Kwang Hu; Naiqing Guan; Steven L. Waslander; Liam Paull (AAAI, 2023)

Can Large Language Models Design Accurate Label Functions? - Naiqing Guan; Kaiwen Chen; Nick Koudas (CoRR, 2023)

ActiveDP: Bridging Active Learning and Data Programming. - Naiqing Guan; Nick Koudas (EDBT, 2024)

WeShap: Weak Supervision Source Evaluation with Shapley Values. - Naiqing Guan; Nick Koudas (Proc. VLDB Endow., 2024)

DataSculpt: Cost-Efficient Label Function Design via Prompting Large Language Models. - Naiqing Guan; Kaiwen Chen; Nick Koudas (EDBT, 2025)

Navigating the Textual Maze: Enhancing Textual Analytical Skills Through an Innovative GAI Prompt Framework. - Xuefan Li; Tingsong Li; Minjuan Wang; Sining Tao; Xiaoxu Zhou; Xiaoqing Wei; Naiqing Guan (IEEE Trans. Learn. Technol., 2025)

GAI Versus Teacher Scoring: Which is Better for Assessing Student Performance? - Xuefan Li; Marco Zappatore; Tingsong Li; Weiwei Zhang; Sining Tao; Xiaoqing Wei; Xiaoxu Zhou; Naiqing Guan; Anny Chan (IEEE Trans. Learn. Technol., 2025)