Hu Wang

Orcid: 0000-0003-1725-873X

Affiliations:

University of Adelaide, Australian Institute for Machine Learning, Australia
Singapore Management University, Living Analytics Research Centre, Singapore
South China University of Technology, College of Software Engineering, Guangzhou, China

According to our database¹, Hu Wang authored at least 40 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification.

[BibT_eX]

[DOI]

CoRR, 2024

A Comprehensive Survey on Deep Multimodal Learning with Missing Modality.

[BibT_eX]

[DOI]

Renjie Wu

Hu Wang

Hsiang-Ting Chen

CoRR, 2024

Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities.

[BibT_eX]

[DOI]

CoRR, 2024

CORELOCKER: Neuron-level Usage Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Disentangling Specificity for Abstractive Multi-document Summarization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation.

[BibT_eX]

[DOI]

Yuyuan Liu

Yuanhong Chen

Hu Wang

Vasileios Belagiannis

Ian D. Reid

Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2024, 2024

CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., December, 2023

Multi-document Summarization via Deep Learning Techniques: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.

[BibT_eX]

[DOI]

CoRR, 2023

A Closer Look at Audio-Visual Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.

[BibT_eX]

[DOI]

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

Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images.

[BibT_eX]

[DOI]

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

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.

[BibT_eX]

[DOI]

CoRR, 2022

M^4I: Multi-modal Models Membership Inference.

[BibT_eX]

[DOI]

CoRR, 2022

Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization.

[BibT_eX]

[DOI]

Congbo Ma

Wei Emma Zhang

Pitawelayalage Dasun Dileepa Pitawela

Yutong Qu

Haojie Zhuang

Hu Wang

CoRR, 2022

Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization.

[BibT_eX]

[DOI]

Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

M$^4$I: Multi-modal Models Membership Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography.

[BibT_eX]

[DOI]

CoRR, 2021

Kernel Agnostic Real-world Image Super-resolution.

[BibT_eX]

[DOI]

Hu Wang

Congbo Ma

Chunhua Shen

CoRR, 2021

Delayed Rewards Calibration via Reward Empirical Sufficiency.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline.

[BibT_eX]

[DOI]

CoRR, 2021

Fully Quantized Image Super-Resolution Networks.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Privacy - 26th Australasian Conference, 2021

2020

Robust Watermarking Using Inverse Gradient Attention.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Representation Learning by Predicting Random Distances.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Soft Expert Reward Learning for Vision-and-Language Navigation.

[BibT_eX]

[DOI]

Hu Wang

Qi Wu

Chunhua Shen

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks.

[BibT_eX]

[DOI]

Congbo Ma

Hu Wang

Steven C. H. Hoi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Randomized online CP decomposition.

[BibT_eX]

[DOI]

Congbo Ma

Xiaowei Yang

Hu Wang

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017

A Fast Image Matting Method Based on Interval-Line Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Hu Wang

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