activity
20202022
most citedOptimal Subsampling for Large Sample Ridge Regression

4 citations · 9 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2022

Coordinating Cross-modal Distillation for Molecular Property Prediction

Hao Zhang, Nan Zhang, Ruixin Zhang +3

In recent years, molecular graph representation learning (GRL) has drawn much more attention in molecular property prediction (MPP) problems. The existing graph methods have demons…

stat.ME20224 cited

Optimal Subsampling for Large Sample Ridge Regression

Yunlu Chen, Nan Zhang

Subsampling is a popular approach to alleviating the computational burden for analyzing massive datasets. Recent efforts have been devoted to various statistical models without exp…

cs.IT20224 cited

Queue-Aware STAR-RIS Assisted NOMA Communication Systems

Nannan Zhang, Yuanwei Liu, Xidong Mu +1

In this paper, the queue-aware simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) assisted non-orthogonal multiple access (NOMA) communicatio…

cs.GT20211 cited

Multi-User Cooperative Computation Framework Based on Bertrand Game

Nan Zhang, Guopeng Zhang, Kezhi Wang +1

In this paper, a multi-user cooperative computing framework is applied to enable mobile users to utilize available computing resources from other neighboring users via direct commu…

cs.NI2020

6G for Bridging the Digital Divide: Wireless Connectivity to Remote Areas

Abdelaali Chaoub, Marco Giordani, Brejesh Lall +9

In telecommunications, network service accessibility as a requirement is closely related to equitably serving the population residing at locations that can most appropriately be de…

stat.AP2020

A Causal Inference Approach to Measure the Vulnerability of Urban Metro Systems

Nan Zhang, Daniel J. Graham, Daniel Hörcher +1

Transit operators need vulnerability measures to understand the level of service degradation under disruptions. This paper contributes to the literature with a novel causal inferen…