2 papers
cs.DS2026
New Convex Programming Technique for Nash Social Welfare and Scheduling
Yuda Feng, Weijiang Hu, Shi Li
We propose a new convex programming relaxation for the weighted Nash social welfare (NSW) problem that achieves a matching -approximation via the rounding a…
cs.LG2024
Fine-gained air quality inference based on low-quality sensing data using self-supervised learning
Meng Xu, Ke Han, Weijian Hu +1
Fine-grained air quality (AQ) mapping is made possible by the proliferation of cheap AQ micro-stations (MSs). However, their measurements are often inaccurate and sensitive to loca…