Xueqiao Peng

Computer Science · The Ohio State University

Mid career · publishing since 2004

Advanced Neural Network Applications Computational Drug Discovery Methods Pharmacovigilance and Adverse Drug Reactions COVID-19 epidemiological studies Reinforcement Learning in Robotics

Publications

Citations

Est. group size

Recurring co-author estimate

Active years

Publishing since 2004

Research summary

AI-generated

Xueqiao Peng's work spans neural network optimization and quantization, medical image analysis using deep learning, and more recently, reinforcement learning approaches for public health decision-making, such as controlling disease outbreaks. This research combines methods from machine learning efficiency (making neural networks smaller and faster) with applications in healthcare and epidemic response.

Neural network compression and quantizationGraph neural networksMedical image classification with deep learningReinforcement learning for public health/epidemic controlConvolutional neural network architecture optimization

Publication activity has been sporadic over the last decade, with a cluster of outputs in 2020 followed by occasional single publications per year and no clear steady growth.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 1.0/year recently

Recent publications

Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning
arXiv (Cornell University) · 2026
Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning
arXiv (Cornell University) · 2026
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks
2021
Unsupervised Multi-Discriminator Generative Adversarial Network for Lung Nodule Malignancy Classification
IEEE Access · 2020
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
2020
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
arXiv (Cornell University) · 2020
Optimizing Convolutional Neural Network Architecture via Information Field.
arXiv (Cornell University) · 2020

Publishes in

arXiv (Cornell University)×4
IEEE Access×1
Heliyon×1
Drug Safety×1
medRxiv×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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