Shenjun Zhong

23 papers Misc 2Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimize Flip Angle Schedules In MR Fingerprinting Using Reinforcement Learning.
CoRR
Shenjun Zhong, Zhifeng Chen, Zhaolin Chen
2025 — conf
Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding.
ISBI
Jinlong He, Pengfei Li, Gang Liu, Shenjun Zhong
2024 J jnl
A comprehensive solution to retrieval-based chatbot construction.
Comput. Speech Lang.
Kristen Moore, Shenjun Zhong, Zhen He, Torsten Rudolf, Nils Fisher, Brandon Victor, Neha Jindal
2024 J jnl
Cross-Modal self-supervised vision language pre-training with multiple objectives for medical visual question answering.
J. Biomed. Informatics
Gang Liu, Jinlong He, Pengfei Li, Zixu Zhao, Shenjun Zhong
2024 — conf
DSS-DocRE: A DenseNet-Based Semantic Segmentation Model for Document-Level Relation Extraction.
MSN
Gang Liu, Dongze Zhang, Jinlong He, Tongli Wang, Shenjun Zhong
2024 Misc conf
Enhancing Generalization in Medical Visual Question Answering Tasks Via Gradient-Guided Model Perturbation.
ICASSP
Gang Liu, Hongyang Li, Zerui He, Shenjun Zhong
2024 J jnl
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation.
CoRR
Gang Liu, Hongyang Li, Zerui He, Shenjun Zhong
2024 Misc conf
PECR: Parameter-Efficient Transfer Learning with Cross-Modal Representation Learning for Remote Sensing Visual Question Answering.
ICASSP
Pengfei Li, Jinlong He, Gang Liu, Shenjun Zhong
2024 J jnl
PERS: Parameter-Efficient Multimodal Transfer Learning for Remote Sensing Visual Question Answering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jinlong He, Gang Liu, Pengfei Li, Xiaonan Su, Wenhua Jiang, Dongze Zhang, Shenjun Zhong
2024 J jnl
Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding.
CoRR
Jinlong He, Pengfei Li, Gang Liu, Shenjun Zhong
2024 J jnl
PeFoMed: Parameter Efficient Fine-tuning on Multimodal Large Language Models for Medical Visual Question Answering.
CoRR
Jinlong He, Pengfei Li, Gang Liu, Zixu Zhao, Shenjun Zhong
2024 J jnl
RSMoDM: Multimodal Momentum Distillation Model for Remote Sensing Visual Question Answering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Pengfei Li, Gang Liu, Jinlong He, Xiangxu Meng, Shenjun Zhong, Xun Chen
2023 J jnl
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges.
J. Digit. Imaging
Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, Cameron Dennis Pain, Shenjun Zhong, Gary F. Egan
2023 — conf
Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering.
MICCAI (1)
Pengfei Li, Gang Liu, Jinlong He, Zixu Zhao, Shenjun Zhong
2023 J jnl
Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering.
CoRR
Pengfei Li, Gang Liu, Jinlong He, Zixu Zhao, Shenjun Zhong
2023 — conf
Self-Supervised Vision-Language Pretraining for Medial Visual Question Answering.
ISBI
Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, Shenjun Zhong
2023 J jnl
Unified Transformer with Cross-Modal Mixture Experts for Remote-Sensing Visual Question Answering.
Remote. Sens.
Gang Liu, Jinlong He, Pengfei Li, Shenjun Zhong, Hongyang Li, Genrong He
2022 J jnl
Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis.
Neuroinformatics
Shenjun Zhong, Zhaolin Chen, Gary F. Egan
2022 J jnl
Self-supervised vision-language pretraining for Medical visual question answering.
CoRR
Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, Shenjun Zhong
2021 J jnl
A comprehensive solution to retrieval-based chatbot construction.
CoRR
Kristen Moore, Shenjun Zhong, Zhen He, Torsten Rudolf, Nils Fisher, Brandon Victor, Neha Jindal
2021 — conf
Brain Tumor Segmentation Using Two-Stage Convolutional Neural Network for Federated Evaluation.
BrainLes@MICCAI (2)
Kamlesh Pawar, Shenjun Zhong, Zhaolin Chen, Gary F. Egan
2021 — conf
Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Kamlesh Pawar, Shenjun Zhong, Dilshan Sasanka Goonatillake, Gary F. Egan, Zhaolin Chen
2017 J jnl
Beating the bookies with their own numbers - and how the online sports betting market is rigged.
CoRR
Lisandro Kaunitz, Shenjun Zhong, Javier Kreiner