A Fast Image Matting Method Based on Interval-Line Sampling. - Hu Wang 005; Zhongming Yang; Congbo Ma; Hongyue Wu; Mingting Ouyang (CSE/EUC (1), 2017)

Randomized online CP decomposition. - Congbo Ma; Xiaowei Yang; Hu Wang 005 (ICACI, 2018)

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. - Congbo Ma; Hu Wang 005; Steven C. H. Hoi (MICCAI (6), 2019)

Soft Expert Reward Learning for Vision-and-Language Navigation. - Hu Wang 005; Qi Wu 001; Chunhua Shen (ECCV (9), 2020)

Unsupervised Representation Learning by Predicting Random Distances. - Hu Wang 005; Guansong Pang; Chunhua Shen; Congbo Ma (IJCAI, 2020)

Robust Watermarking Using Inverse Gradient Attention. - Honglei Zhang; Hu Wang 005; Yidong Li; Yuanzhouhan Cao; Chunhua Shen (CoRR, 2020)

Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models. - Liuqiao Chen; Hu Wang 005; Benjamin Zi Hao Zhao; Minhui Xue 001; Haifeng Qian (ACISP, 2021)

Fully Quantized Image Super-Resolution Networks. - Hu Wang 005; Peng Chen 037; Bohan Zhuang; Chunhua Shen (ACM Multimedia, 2021)

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline. - Hu Wang 005; Hao Chen 041; Qi Wu 001; Congbo Ma; Yidong Li; Chunhua Shen (CoRR, 2021)

Delayed Rewards Calibration via Reward Empirical Sufficiency. - Yixuan Liu; Hu Wang 005; Xiaowei Wang; Xiaoyue Sun; Liuyue Jiang; Minhui Xue 001 (CoRR, 2021)

Kernel Agnostic Real-world Image Super-resolution. - Hu Wang 005; Congbo Ma; Chunhua Shen (CoRR, 2021)

Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography. - Olivia Byrnes; Wendy La; Hu Wang 005; Congbo Ma; Minhui Xue 001; Qi Wu 001 (CoRR, 2021)

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. - Hu Wang 005; Jianpeng Zhang; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (ECCV (37), 2022)

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. - Yuanhong Chen; Hu Wang 005; Chong Wang 012; Yu Tian 001; Fengbei Liu; Yuyuan Liu; Michael Elliott; Davis J. McCarthy; Helen Frazer; Gustavo Carneiro 001 (MICCAI (3), 2022)

M$^4$I: Multi-modal Models Membership Inference. - Pingyi Hu; Zihan Wang; Ruoxi Sun 001; Hu Wang 005; Minhui Xue 001 (NeurIPS, 2022)

Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. - Congbo Ma; Wei Emma Zhang; Hu Wang 005; Shubham Gupta; Mingyu Guo (PACLIC, 2022)

Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization. - Congbo Ma; Wei Emma Zhang; Pitawelayalage Dasun Dileepa Pitawela; Yutong Qu; Haojie Zhuang; Hu Wang 005 (CoRR, 2022)

M^4I: Multi-modal Models Membership Inference. - Pingyi Hu; Zihan Wang; Ruoxi Sun 001; Hu Wang 005; Minhui Xue 001 (CoRR, 2022)

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. - Yuanhong Chen; Hu Wang 005; Chong Wang 012; Yu Tian 001; Fengbei Liu; Michael Elliott; Davis J. McCarthy; Helen Frazer; Gustavo Carneiro 001 (CoRR, 2022)

Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. - Hu Wang 005; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CVPR, 2023)

The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification. - David Butler; Hu Wang 005; Yuan Zhang; Minh-Son To; George Condous; Mathew Leonardi; Steven Knox; Jodie Avery; M. Louise Hull; Gustavo Carneiro 001 (EMBC, 2023)

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. - Yuanhong Chen; Fengbei Liu; Hu Wang 005; Chong Wang 012; Yuyuan Liu; Yu Tian 001; Gustavo Carneiro 001 (ICCV, 2023)

Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. - Yuan Zhang; Hu Wang 005; David Butler; Minh-Son To; Jodie Avery; M. Louise Hull; Gustavo Carneiro 001 (ISBI, 2023)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. - Hu Wang 005; Congbo Ma; Jianpeng Zhang; Yuan Zhang; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (MICCAI (4), 2023)

A Closer Look at Audio-Visual Semantic Segmentation. - Yuanhong Chen; Yuyuan Liu; Hu Wang 005; Fengbei Liu; Chong Wang 012; Gustavo Carneiro 001 (CoRR, 2023)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. - Hu Wang 005; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CoRR, 2023)

Multi-document Summarization via Deep Learning Techniques: A Survey. - Congbo Ma; Wei Emma Zhang; Mingyu Guo; Hu Wang 005; Quan Z. Sheng (ACM Comput. Surv., 2023)

Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography. - Zihan Wang; Olivia Byrnes; Hu Wang 005; Ruoxi Sun 001; Congbo Ma; Huaming Chen; Qi Wu 001; Minhui Xue 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. - Renjie Wu 008; Hu Wang 005; Feras Dayoub; Hsiang-Ting Chen (AAAI, 2024)

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. - Yuanhong Chen; Yuyuan Liu; Hu Wang 005; Fengbei Liu; Chong Wang 012; Helen Frazer; Gustavo Carneiro 001 (CVPR, 2024)

CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation. - Yuanhong Chen; Chong Wang 012; Yuyuan Liu; Hu Wang 005; Gustavo Carneiro 001 (ECCV (10), 2024)

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. - Yuyuan Liu; Yuanhong Chen; Hu Wang 005; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (ECCV (1), 2024)

Disentangling Specificity for Abstractive Multi-document Summarization. - Congbo Ma; Wei Emma Zhang; Hu Wang 005; Haojie Zhuang; Mingyu Guo (IJCNN, 2024)

Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. - Daniel Petashvili; Hu Wang 005; Alison Deslandes; Jodie Avery; George Condous; Gustavo Carneiro 001; Louise Hull; Hsiang-Ting Chen (ISBI, 2024)

CORELOCKER: Neuron-level Usage Control. - Zihan Wang; Zhongkui Ma; Xinguo Feng; Ruoxi Sun 001; Hu Wang 005; Minhui Xue 001; Guangdong Bai (SP, 2024)

Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. - Hu Wang 005; Congbo Ma; Yuyuan Liu; Yuanhong Chen; Yu Tian 001; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CoRR, 2024)

Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis. - Hu Wang 005; David Butler; Yuan Zhang; Jodie Avery; Steven Knox; Congbo Ma; Louise Hull; Gustavo Carneiro 001 (CoRR, 2024)

A Comprehensive Survey on Deep Multimodal Learning with Missing Modality. - Renjie Wu 008; Hu Wang 005; Hsiang-Ting Chen (CoRR, 2024)

Rethinking Weight-Averaged Model-merging. - Hu Wang 005; Congbo Ma; Ibrahim Almakky; Ian Reid 001; Gustavo Carneiro 001; Mohammad Yaqub (CoRR, 2024)

Learning To Sample the Meta-Paths for Social Event Detection. - Congbo Ma; Hu Wang 005; Zitai Qiu; Shan Xue 001; Jia Wu 001; Jian Yang 001; Preslav Nakov; Quan Z. Sheng (CoRR, 2024)

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. - Yutong Xie 001; Jianpeng Zhang; Lingqiao Liu; Hu Wang 005; Yiwen Ye; Johan Verjans; Yong Xia 001 (Medical Image Anal., 2024)

Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective. - Hao Lu 003; Liang Liu 001; Hu Wang 005; Zhiguo Cao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification. - Yuan Zhang; Yutong Xie 001; Hu Wang 005; Jodie C. Avery; M. Louise Hull; Gustavo Carneiro 001 (WACV, 2025)

Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis. - Yuan Zhang; Hu Wang 005; David Butler; Brandon Smart; Yutong Xie 001; Minh-Son To; Steven Knox; George Condous; Mathew Leonardi; Jodie C. Avery; M. Louise Hull; Gustavo Carneiro 001 (Comput. Medical Imaging Graph., 2025)

In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models. - Hu Wang 005; Ibrahim Almakky; Congbo Ma; Numan Saeed; Mohammad Yaqub (CoRR, 2025)

SALT: Singular Value Adaptation with Low-Rank Transformation. - Abdelrahman Elsayed; Sarim Hashmi; Mohammed Elseiagy; Hu Wang 005; Mohammad Yaqub; Ibrahim Almakky (CoRR, 2025)

Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning. - Hu Wang 005; Congbo Ma; Ian D. Reid 001; Mohammad Yaqub (CoRR, 2025)

TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model. - Ao Li; Yuxiang Duan; Jinghui Zhang; Congbo Ma; Yutong Xie 001; Gustavo Carneiro 001; Mohammad Yaqub; Hu Wang 005 (CoRR, 2025)

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings. - Dongli He; Hu Wang 005; Mohammad Yaqub (CoRR, 2025)

EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-Saharan Africa using MedNeXt V2 with Deep Supervision. - Ahmed Jaheen; Abdelrahman Elsayed; Damir Kim; Daniil Tikhonov; Matheus Scatolin; Mohor Banerjee; Qiankun Ji; Mostafa Salem; Hu Wang 005; Sarim Hashmi; Mohammad Yaqub (CoRR, 2025)