Tingying Helen Zeng

20 papers C 3Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
An Atlas of Electroencephalographic Infraslow Oscillation Features During Sleep in a Clinical Cohort.
BIBM
Ella Tianjing Luo, Haoqi Sun, Tingying Helen Zeng, Elizaveta Tremsina
2025 — conf
Authorship Verification of the Caesarian Corpus Using Siamese BERT.
EPIA (2)
Brandon Li, David Nizovsky, Anna Leonenko, Tingying Helen Zeng, Mikhail Y. Shalaginov
2025 — conf
Autism Diagnostics: Analyzing Eye-Tracking Data with Neural Networks.
ICECET
Yunqi Le, Xue-Jun Kong, Mikhail Y. Shalaginov, Anna Leonenko, Tingying Helen Zeng
2025 — conf
Differentiable 3D CNN Architecture Searching on ABIDE Brain Image dataset.
ICECET
Jason Y. Liu, Mikhail Y. Shalaginov, Tingying Helen Zeng
2025 — conf
Functional Connectivity of Brain Wave During Sleep Onset Differentiates Autism Spectrum Disorder.
BIBM
Bryan K. Wang, Haoqi Sun, Mikhail Y. Shalaginov, Tingying Helen Zeng
2025 — conf
Predicting Marine Microplastic Density via Spatiotemporal Deep Learning.
ICECET
Kayla Peng, Tingying Helen Zeng, Elizaveta Tremsina, Mikhail Y. Shalaginov
2025 — conf
Uncovering the Impact of Productivity on Mental Health Among Older Adults: A Data-Driven Analysis.
BIBM
Rachel Zhang, Ziqing Zhao, Elizaveta Tremsina, Tingying Helen Zeng
2024 — conf
Brain Hemorrhage CT Image Detection and Classification using Deep Learning Methods.
BIBM
Kevin Haowen Wu, Kevin Zeng, Mikhail Y. Shalaginov, Tingying Helen Zeng
2024 — conf
Classification of Periodontal and Health Oral Samples Using Deep Learning.
BIBM
Jasmine Gu, Emma Chen, Tingying Helen Zeng, Tsute Chen
2024 — conf
Prediction of Multiple Sclerosis Disease Progression Using Machine Learning Techniques on Datasets.
BIBM
Antonio Feng, David Nizovsky, Tingying Helen Zeng, Mikhail Y. Shalaginov
2023 C conf
Injury Risk Prediction in Soccer Using Machine Learning.
ICMLA
Brendan Shen, Mikhail Y. Shalaginov, Tingying Helen Zeng
2023 C conf
Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models.
ICMLA
Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng
2022 — conf
A Deep Convolutional Neural Network For Diagnosis of Diabetic Retinopathy.
BIBM
Vivian Liu, Mikhail Y. Shalaginov, Rory Liao, Tingying Helen Zeng
2022 — conf
A Machine-Learning Approach for Predicting Depression Through Demographic and Socioeconomic Features.
BIBM
Joseph Sun, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng
2022 — conf
COVID-19 Impact on Mental Health Analysis based on Reddit Comments.
BIBM
Justin Q. Chen, Kevin Qi, Aaron Zhang, Mikhail Y. Shalaginov, Tingying Helen Zeng
2022 — conf
Class Activation Mapping Enhanced AlexNet Convolutional Neural Networks for Early Diagnosis of Alzheimer's Disease.
BIBM
William Xu, Tingying Helen Zeng, Mikhail Y. Shalaginov
2022 — conf
Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning.
BIBM
Emma Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng
2022 — conf
Scoliosis Detection with Convolutional Neural Networks.
BIBM
Qiushi Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng
2021 C conf
Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis.
ISNCC
Andrew Tao, Kevin Qi, Daniel Che, Mikhail Y. Shalaginov, Tingying Helen Zeng
2020 — conf
Exploration of the Possibility of Early Diagnosis for Digestive Diseases Using Deep Learning Techniques.
BIBM
Rory Liao, Kevin Qi, Daniel Che, Tingying Helen Zeng