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 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography.
IEEE Trans. Comput. Soc. Syst., December, 2023

Multi-document Summarization via Deep Learning Techniques: A Survey.
ACM Comput. Surv., 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.
CoRR, 2023

A Closer Look at Audio-Visual Semantic Segmentation.
CoRR, 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.
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.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification.
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.
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.
CoRR, 2022

Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization.
CoRR, 2022

Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization.
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography.
CoRR, 2021

Kernel Agnostic Real-world Image Super-resolution.
CoRR, 2021

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline.
CoRR, 2021

Fully Quantized Image Super-Resolution Networks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Robust Watermarking Using Inverse Gradient Attention.
CoRR, 2020

Unsupervised Representation Learning by Predicting Random Distances.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Soft Expert Reward Learning for Vision-and-Language Navigation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Randomized online CP decomposition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
A Fast Image Matting Method Based on Interval-Line Sampling.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017


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