Shenjun Zhong

According to our database, Shenjun Zhong authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A comprehensive solution to retrieval-based chatbot construction.

Kristen Moore, Shenjun Zhong, Zhen He, Torsten Rudolf, Nils Fisher, Brandon Victor, Neha Jindal

Comput. Speech Lang., January, 2024

Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation.

Gang Liu, Hongyang Li, Zerui He, Shenjun Zhong

CoRR, 2024

PeFoMed: Parameter Efficient Fine-tuning on Multimodal Large Language Models for Medical Visual Question Answering.

Jinlong He, Pengfei Li, Gang Liu, Zixu Zhao, Shenjun Zhong

CoRR, 2024

2023

Unified Transformer with Cross-Modal Mixture Experts for Remote-Sensing Visual Question Answering.

Gang Liu, Jinlong He, Pengfei Li, Shenjun Zhong, Hongyang Li, Genrong He

Remote. Sens., October, 2023

Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges.

Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, Cameron Pain, Shenjun Zhong, Gary F. Egan

J. Digit. Imaging, February, 2023

Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering.

Pengfei Li, Gang Liu, Jinlong He, Zixu Zhao, Shenjun Zhong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Self-Supervised Vision-Language Pretraining for Medial Visual Question Answering.

Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, Shenjun Zhong

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis.

Shenjun Zhong, Zhaolin Chen, Gary F. Egan

Neuroinformatics, 2022

Self-supervised vision-language pretraining for Medical visual question answering.

Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, Shenjun Zhong

CoRR, 2022

2021

Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation.

Kamlesh Pawar, Shenjun Zhong, Dilshan Sasanka Goonatillake, Gary F. Egan, Zhaolin Chen

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Brain Tumor Segmentation Using Two-Stage Convolutional Neural Network for Federated Evaluation.

Kamlesh Pawar, Shenjun Zhong, Zhaolin Chen, Gary F. Egan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2017

Beating the bookies with their own numbers - and how the online sports betting market is rigged.

Lisandro Kaunitz, Shenjun Zhong, Javier Kreiner

CoRR, 2017