Juntang Zhuang

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 43

Top Topics

Graph Embedding

Gradient Estimation

Feature Importance

Top Venues

Publications

Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR (2022)
Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR (2022)
Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. STACOM@MICCAI (2022)
Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan
Learning correspondences of cardiac motion from images using biomechanics-informed modeling. CoRR (2022)
Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. NeurIPS (2021)
Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. CoRR (2021)
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70 (2021)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. 74 (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. IPMI (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
Multiple-shooting adjoint method for whole-brain dynamic causal modeling. CoRR (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. CoRR (2021)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. CoRR (2021)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. MLMI@MICCAI (2020)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. CoRR (2020)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML (2020)
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR (2020)
Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR (2020)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph embedding using Infomax for ASD classification and brain functional difference detection. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR (2020)
Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar C. Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. NeurIPS (2020)
Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel
2018 Robotic Scene Segmentation Challenge. CoRR (2020)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) (2020)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
Decision explanation and feature importance for invertible networks. ICCV Workshops (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. CoRR (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
Decision Explanation and Feature Importance for Invertible Networks. CoRR (2019)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph Neural Network for Interpreting Task-fMRI Biomarkers. MICCAI (5) (2019)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. CoRR (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Invertible Network for Classification and Biomarker Selection for ASD. CoRR (2019)
Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. ISBI (2019)
Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek
ShelfNet for Fast Semantic Segmentation. ICCV Workshops (2019)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. MLMI@MICCAI (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Invertible Network for Classification and Biomarker Selection for ASD. MICCAI (3) (2019)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph Neural Network for Interpreting Task-fMRI Biomarkers. CoRR (2019)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. IPMI (2019)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. CoRR (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan
Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. ISBI (2018)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. CoRR (2018)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. MICCAI (3) (2018)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Prediction of Severity and Treatment Outcome for ASD from fMRI. PRIME@MICCAI (2018)
Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. ISBI (2018)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. CoRR (2018)