4 citations · 12 across the 16 of their papers we have counts for
16 papers
The Power of Second Chance: Personalized Submodular Maximization with Two Candidates
Jing Yuan, Shaojie Tang
Most of existing studies on submodular maximization focus on selecting a subset of items that maximizes a \emph{single} submodular function. However, in many real-world scenarios,…
A Constant-Approximation Algorithm for Budgeted Sweep Coverage with Mobile Sensors
Wei Liang, Shaojie Tang, Zhao Zhang
In this paper, we present the first constant-approximation algorithm for {\em budgeted sweep coverage problem} (BSC). The BSC involves designing routes for a number of mobile senso…
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning
Xinghao Wu, Xuefeng Liu, Jianwei Niu +4
Personalized Federated Learning (PFL) is a commonly used framework that allows clients to collaboratively train their personalized models. PFL is particularly useful for handling s…
Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA
Shaojie Tang, Penpen Miao, Xingyu Gao +10
A method was proposed for the point cloud-based registration and image fusion between cardiac single photon emission computed tomography (SPECT) myocardial perfusion images (MPI) a…
Data Summarization beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization
Shaojie Tang
The objective of a two-stage submodular maximization problem is to reduce the ground set using provided training functions that are submodular, with the aim of ensuring that optimi…
Lifting the Veil: Unlocking the Power of Depth in Q-learning
Shao-Bo Lin, Tao Li, Shaojie Tang +2
With the help of massive data and rich computational resources, deep Q-learning has been widely used in operations research and management science and has contributed to great succ…