Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size. - Kyriakos Mouratidis; Keming Li; Bo Tang 016 (SIGMOD Conference, 2021)

T-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space. - Jiahao Zhang; Bo Tang 016; Man Lung Yiu; Xiao Yan 002; Keming Li (SIGMOD Conference, 2022)

Dual CNN cross-teaching semi-supervised segmentation network with multi-kernels and global contrastive loss in ACDC. - Keming Li; Guangyuan Zhang; Kefeng Li; Jindi Li; Jiaqi Wang; Yumin Yang (Medical Biol. Eng. Comput., 2023)

Quantifying the competitiveness of a dataset in relation to general preferences. - Kyriakos Mouratidis; Keming Li; Bo Tang 016 (VLDB J., 2024)

Marrying Top-k with Skyline Queries: Operators with Relaxed Preference Input and Controllable Output Size. - Kyriakos Mouratidis; Keming Li; Bo Tang 016 (ACM Trans. Database Syst., 2025)