Heming Yao

24 papers Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Group Contrastive Learning for Weakly Paired Multimodal Data.
CoRR
Aditya Gorla, Hugues Van Assel, Jan-Christian Huetter, Heming Yao, Kyunghyun Cho, Aviv Regev, Russell Littman
2026 J jnl
Incorporating contextual information into KGWAS for interpretable GWAS discovery.
CoRR
Cheng Jiang, Brady Ryan, Megan Crow, Kipper Fletez-Brant, Kashish Doshi, Sandra Melo Carlos, Kexin Huang, Burkhard Hoeckendorf, Heming Yao, David Richmond
2025 J jnl
Sparse Mixture-of-Experts for Multi-Channel Imaging: Are All Channel Interactions Required?
CoRR
Sukwon Yun, Heming Yao, Burkhard Hoeckendorf, David Richmond, Aviv Regev, Russell Littman
2025 J jnl
Supervised Contrastive Block Disentanglement.
CoRR
Taro Makino, Ji Won Park, Natasa Tagasovska, Takamasa Kudo, Paula Coelho, Jan-Christian Huetter, Heming Yao, Burkhard Hoeckendorf, Ana Carolina Leote, Stephen Ra, David Richmond, Kyunghyun Cho, Aviv Regev, Romain Lopez
2024 — conf
Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening.
CVPR Workshops
Mahtab Bigverdi, Burkhard Höckendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond
2024 J jnl
Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening.
CoRR
Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond
2024 — conf
Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images.
CVPR Workshops
Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond
2024 J jnl
Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images.
CoRR
Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond
2023 J jnl
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies.
IEEE J. Biomed. Health Informatics
Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian
2023 J jnl
Unsupervised Segmentation of Colonoscopy Images.
CoRR
Heming Yao, Jérôme Lüscher, Benjamín Gutiérrez-Becker, Josep Arús-Pous, Tommaso Biancalani, Amelie Bigorgne, David Richmond
2023 — conf
Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration.
MICCAI (1)
Heming Yao, Adam Pely, Zhichao Wu, Simon S. Gao, Robyn H. Guymer, Hao Chen, Mohsen Hejrati, Miao Zhang
2021 J jnl
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure.
CoRR
Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian
2021 J jnl
Motion-based camera localization system in colonoscopy videos.
Medical Image Anal.
Heming Yao, Ryan W. Stidham, Zijun Gao, Jonathan Gryak, Kayvan Najarian
2021 J jnl
Research on Rail Pressure Control of High-Pressure Common Rail System for Marine Diesel Engine Based on Controlled Object Model.
IEEE Access
Qinpeng Wang, Heming Yao, Yuhai He, Yonghua Yu, Jianguo Yang
2020 J jnl
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury.
Artif. Intell. Medicine
Heming Yao, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian
2020 J jnl
Motion-based Camera Localization System in Colonoscopy Videos.
CoRR
Heming Yao, Ryan W. Stidham, Jonathan Gryak, Kayvan Najarian
2019 — conf
Automated Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature Extraction.
EMBC
Heming Yao, Ryan W. Stidham, Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian
2019 — conf
Brain Hematoma Segmentation Using Active Learning and an Active Contour Model.
IWBBIO (2)
Heming Yao, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian
2019 — conf
Using a Fuzzy Neural Network in Clinical Decision Support for Patients with Advanced Heart Failure.
BIBM
Heming Yao, Keith D. Aaronson, Lu Lu, Jonathan Gryak, Kayvan Najarian, Jessica R. Golbus
2018 — conf
Filter-Pruned 3D Convolutional Neural Network for Drowsiness Detection.
EMBC
Heming Yao, Wei Zhang, Rajesh K. Malhan, Jonathan Gryak, Kayvan Najarian
2018 — conf
Hematoma Segmentation Using Dilated Convolutional Neural Network.
EMBC
Heming Yao, Craig A. Williamson, S. M. Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian
2016 J jnl
CSCdb: a cancer stem cells portal for markers, related genes and functional information.
Database J. Biol. Databases Curation
Yi Shen, Heming Yao, Ao Li, Minghui Wang
2016 J jnl
SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care.
J. Am. Medical Informatics Assoc.
Jeremy L. Warner, Matthew J. Rioth, Kenneth D. Mandl, Joshua C. Mandel, David A. Kreda, Isaac S. Kohane, Daniel Carbone, Ross Oreto, Lucy Wang, Shilin Zhu, Heming Yao, Gil Alterovitz
2013 — conf
A nanometer-resolution displacement measurement system based on laser feedback interferometry.
NEMS
Huilan Liu, Heming Yao, Lishuang Feng