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Shenjun Zhong
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2020 – today
- 2024
- [j6]Kristen Moore, Shenjun Zhong, Zhen He, Torsten Rudolf, Nils Fisher, Brandon Victor, Neha Jindal:
A comprehensive solution to retrieval-based chatbot construction. Comput. Speech Lang. 83: 101522 (2024) - [j5]Jinlong He, Gang Liu, Pengfei Li, Xiaonan Su, Wenhua Jiang, Dongze Zhang, Shenjun Zhong:
PERS: Parameter-Efficient Multimodal Transfer Learning for Remote Sensing Visual Question Answering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 14823-14835 (2024) - [j4]Pengfei Li, Gang Liu, Jinlong He, Xiangxu Meng, Shenjun Zhong, Xun Chen:
RSMoDM: Multimodal Momentum Distillation Model for Remote Sensing Visual Question Answering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16799-16814 (2024) - [c6]Gang Liu, Hongyang Li, Zerui He, Shenjun Zhong:
Enhancing Generalization in Medical Visual Question Answering Tasks Via Gradient-Guided Model Perturbation. ICASSP 2024: 2220-2224 - [c5]Pengfei Li, Jinlong He, Gang Liu, Shenjun Zhong:
PECR: Parameter-Efficient Transfer Learning with Cross-Modal Representation Learning for Remote Sensing Visual Question Answering. ICASSP 2024: 6740-6744 - [i6]Jinlong He, Pengfei Li, Gang Liu, Zixu Zhao, Shenjun Zhong:
PeFoMed: Parameter Efficient Fine-tuning on Multimodal Large Language Models for Medical Visual Question Answering. CoRR abs/2401.02797 (2024) - [i5]Gang Liu, Hongyang Li, Zerui He, Shenjun Zhong:
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation. CoRR abs/2403.02707 (2024) - 2023
- [j3]Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, Cameron Dennis Pain, Shenjun Zhong, Gary F. Egan:
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges. J. Digit. Imaging 36(1): 204-230 (2023) - [j2]Gang Liu, Jinlong He, Pengfei Li, Shenjun Zhong, Hongyang Li, Genrong He:
Unified Transformer with Cross-Modal Mixture Experts for Remote-Sensing Visual Question Answering. Remote. Sens. 15(19): 4682 (2023) - [c4]Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, Shenjun Zhong:
Self-Supervised Vision-Language Pretraining for Medial Visual Question Answering. ISBI 2023: 1-5 - [c3]Pengfei Li, Gang Liu, Jinlong He, Zixu Zhao, Shenjun Zhong:
Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering. MICCAI (1) 2023: 374-383 - [i4]Pengfei Li, Gang Liu, Jinlong He, Zixu Zhao, Shenjun Zhong:
Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering. CoRR abs/2307.05314 (2023) - 2022
- [j1]Shenjun Zhong, Zhaolin Chen, Gary F. Egan:
Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis. Neuroinformatics 20(4): 1105-1120 (2022) - [i3]Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, Shenjun Zhong:
Self-supervised vision-language pretraining for Medical visual question answering. CoRR abs/2211.13594 (2022) - 2021
- [c2]Kamlesh Pawar, Shenjun Zhong, Dilshan Sasanka Goonatillake, Gary F. Egan, Zhaolin Chen:
Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 54-67 - [c1]Kamlesh Pawar, Shenjun Zhong, Zhaolin Chen, Gary F. Egan:
Brain Tumor Segmentation Using Two-Stage Convolutional Neural Network for Federated Evaluation. BrainLes@MICCAI (2) 2021: 494-505 - [i2]Kristen Moore, Shenjun Zhong, Zhen He, Torsten Rudolf, Nils Fisher, Brandon Victor, Neha Jindal:
A comprehensive solution to retrieval-based chatbot construction. CoRR abs/2106.06139 (2021)
2010 – 2019
- 2017
- [i1]Lisandro Kaunitz, Shenjun Zhong, Javier Kreiner:
Beating the bookies with their own numbers - and how the online sports betting market is rigged. CoRR abs/1710.02824 (2017)
Coauthor Index
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