activity
20202026
most citedDeep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning

72 citations · 103 across the 53 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

eess.IV2023

Quantification of cardiac capillarization in single-immunostained myocardial slices using weakly supervised instance segmentation

Zhao Zhang, Xiwen Chen, William Richardson +3

Decreased myocardial capillary density has been reported as an important histopathological feature associated with various heart disorders. Quantitative assessment of cardiac capil…

cs.LG2023

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features

Huayu Li, Ana S. Carreon-Rascon, Xiwen Chen +2

Medical time series data are indispensable in healthcare, providing critical insights for disease diagnosis, treatment planning, and patient management. The exponential growth in d…

math.OC2023

Diversity Maximized Scheduling in RoadSide Units for Traffic Monitoring Applications

Ahmad Sarlak, Xiwen Chen, Rahul Amin +1

This paper develops an optimal data aggregation policy for learning-based traffic control systems based on imagery collected from Road Side Units (RSUs) under imperfect communicati…

eess.SY2023★ 3 cited

Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach

Hao Wang, Xiwen Chen, Natan Vital +2

With more than 32% of the global energy used by commercial and residential buildings, there is an urgent need to revisit traditional approaches to Building Energy Management (BEM).…

cs.LG2023

Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference

Xiwen Chen, Huayu Li, Rahul Amin +1

This paper proposes a distributed version of Determinant Point Processing (DPP) inference to enhance multi-source data diversification under limited communication bandwidth. DPP is…

eess.IV2023★ 1 cited

nnMobileNet: Rethinking CNN for Retinopathy Research

Wenhui Zhu, Peijie Qiu, Xiwen Chen +4

Over the past few decades, convolutional neural networks (CNNs) have been at the forefront of the detection and tracking of various retinal diseases (RD). Despite their success, th…

cs.LG2023★ 1 cited

RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples

Xiwen Chen, Huayu Li, Rahul Amin +1

In some practical learning tasks, such as traffic video analysis, the number of available training samples is restricted by different factors, such as limited communication bandwid…