Beating the bookies with their own numbers - and how the online sports betting market is rigged. - Lisandro Kaunitz; Shenjun Zhong; Javier Kreiner (CoRR, 2017)

Brain Tumor Segmentation Using Two-Stage Convolutional Neural Network for Federated Evaluation. - Kamlesh Pawar; Shenjun Zhong; Zhaolin Chen; Gary F. Egan (BrainLes@MICCAI (2), 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 (BrainLes@MICCAI (2), 2021)

Self-supervised vision-language pretraining for Medical visual question answering. - Pengfei Li; Gang Liu; Lin Tan; Jinying Liao; Shenjun Zhong (CoRR, 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 Medial Visual Question Answering. - Pengfei Li; Gang Liu; Lin Tan; Jinying Liao; Shenjun Zhong (ISBI, 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 (MICCAI (1), 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 Dennis Pain; Shenjun Zhong; Gary F. Egan (J. Digit. Imaging, 2023)

Unified Transformer with Cross-Modal Mixture Experts for Remote-Sensing Visual Question Answering. - Gang Liu 021; Jinlong He; Pengfei Li; Shenjun Zhong; Hongyang Li; Genrong He (Remote. Sens., 2023)

PECR: Parameter-Efficient Transfer Learning with Cross-Modal Representation Learning for Remote Sensing Visual Question Answering. - Pengfei Li; Jinlong He; Gang Liu; Shenjun Zhong (ICASSP, 2024)

Enhancing Generalization in Medical Visual Question Answering Tasks Via Gradient-Guided Model Perturbation. - Gang Liu; Hongyang Li; Zerui He; Shenjun Zhong (ICASSP, 2024)

DSS-DocRE: A DenseNet-Based Semantic Segmentation Model for Document-Level Relation Extraction. - Gang Liu; Dongze Zhang; Jinlong He; Tongli Wang; Shenjun Zhong (MSN, 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)

Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding. - Jinlong He; Pengfei Li; Gang Liu 021; Shenjun Zhong (CoRR, 2024)

Cross-Modal self-supervised vision language pre-training with multiple objectives for medical visual question answering. - Gang Liu 021; Jinlong He; Pengfei Li; Zixu Zhao; Shenjun Zhong (J. Biomed. Informatics, 2024)

PERS: Parameter-Efficient Multimodal Transfer Learning for Remote Sensing Visual Question Answering. - Jinlong He; Gang Liu 021; Pengfei Li; Xiaonan Su; Wenhua Jiang; Dongze Zhang; Shenjun Zhong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

RSMoDM: Multimodal Momentum Distillation Model for Remote Sensing Visual Question Answering. - Pengfei Li; Gang Liu 021; Jinlong He; Xiangxu Meng; Shenjun Zhong; Xun Chen 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A comprehensive solution to retrieval-based chatbot construction. - Kristen Moore; Shenjun Zhong; Zhen He 002; Torsten Rudolf; Nils Fisher; Brandon Victor; Neha Jindal (Comput. Speech Lang., 2024)

Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding. - Jinlong He; Pengfei Li; Gang Liu; Shenjun Zhong (ISBI, 2025)