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Juntang Zhuang
Juntang Zhuang
OpenAI
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Cited by
Year
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
22742023
GPT-4 technical report
R OpenAI
ArXiv 2303, 08774, 2023
8292023
Adabelief optimizer: Adapting stepsizes by the belief in observed gradients
J Zhuang, T Tang, Y Ding, S Tatikonda, N Dvornek, X Papademetris, ...
Conference on Neural Information Processing Systems, NeurIPS 2020, 2020
5602020
Braingnn: Interpretable brain graph neural network for fmri analysis
X Li, Y Zhou, N Dvornek, M Zhang, S Gao, J Zhuang, D Scheinost, ...
Medical Image Analysis 74, 102233, 2021
4102021
LadderNet: Multi-path networks based on U-Net for medical image segmentation
J Zhuang
arXiv preprint arXiv:1810.07810, 2018
3182018
Improving Image Generation with Better Captions
J Betker, G Goh, L Jing, T Brooks, J Wang, L Li, L Ouyang, J Zhuang, ...
https://cdn. openai. com/papers/dall-e-3.pdf, 2023
3052023
ShelfNet for fast semantic segmentation
J Zhuang, J Yang, L Gu, N Dvornek
2019 IEEE International Conference on Computer Vision (ICCV),CVRSUAD, 2018
1452018
Surrogate gap minimization improves sharpness-aware training
J Zhuang, B Gong, L Yuan, Y Cui, H Adam, N Dvornek, S Tatikonda, ...
arXiv preprint arXiv:2203.08065, 2022
1232022
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
J Zhuang, N Dvornek, X Li, S Tatikonda, X Papademetris, J Duncan
International Conference on Machine Learning, ICML 2020., 2020
1172020
Graph neural network for interpreting task-fmri biomarkers
X Li, NC Dvornek, Y Zhou, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1082019
2-channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning
X Li, NC Dvornek, X Papademetris, J Zhuang, LH Staib, P Ventola, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
802018
Brain biomarker interpretation in ASD using deep learning and fMRI
X Li, NC Dvornek, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
802018
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
742020
Pooling regularized graph neural network for fmri biomarker analysis
X Li, Y Zhou, NC Dvornek, M Zhang, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
692020
MALI: A memory efficient and reverse accurate integrator for Neural ODEs
J Zhuang, NC Dvornek, S Tatikonda, JS Duncan
International Conference on Learning Representations, ICLR, 2021
532021
Jointly discriminative and generative recurrent neural networks for learning from fMRI
NC Dvornek, X Li, J Zhuang, JS Duncan
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
312019
Invertible network for classification and biomarker selection for ASD
J Zhuang, NC Dvornek, X Li, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
252019
Neuropsychiatric disease classification using functional connectomics-results of the connectomics in neuroimaging transfer learning challenge
MD Schirmer, A Venkataraman, I Rekik, M Kim, SH Mostofsky, MB Nebel, ...
Medical image analysis 70, 101972, 2021
232021
Efficient interpretation of deep learning models using graph structure and cooperative game theory: Application to asd biomarker discovery
X Li, NC Dvornek, Y Zhou, J Zhuang, P Ventola, JS Duncan
Information Processing in Medical Imaging: 26th International Conference …, 2019
222019
Improving image generation with better captions. 2023
J Betker, G Goh, L Jing, T Brooks, J Wang, L Li, L Ouyang, J Zhuang, ...
URL https://cdn. openai. com/papers/dall-e-3. pdf, 2023
212023
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