Hu Wang

Hu Wang

I am a research scientist working with Prof. Mohammad Yaqub at MBZUAI (Ranked 11th in AI globally). Previously, I worked as a research fellow at AIML, Adelaide University with Prof. Gustavo Carneiro. I received my Ph.D. degree advised by Prof. Chunhua Shen and Prof. Qi Wu at Adelaide University. Before that, I worked with Prof. Steven Hoi (the author of BLIP and BLIP2) on at LARC cofounded by SMU and CMU. Our Imagendo work was awarded the Eureka Prize (Australia premier national science award).

Full Publication List

News

  • Jul 2025, a LLMs reasoning via Reinforcement Learning paper has been made public on arXiv.
  • Jul 2025, two papers have been accepted by BMVC 2025.
  • May 2025, a plug-and-play dual augmentation framework, which combines explicit text-based and implicit feature-space augmentation to enhance data diversity and model robustness paper has been accepted by ACL 2025.
  • Feb 2025, a Graph Neural Network based Social Event Detection paper has been accepted by WWW 2025.
  • Jan 2025, a Multi-modal Multi-label Skin Lesion Classification paper has been publilshed on WACV 2025 Paper.
  • Nov 2024, a rethinking paper for Model-merging has been released Paper (in submission).
  • Nov 2024, a Meta-learning based method to deal with Missing Modality issue in Multi-modal learning has been released Paper (in submission).
  • Sep 2024, a Comprehensive Survey on Deep Multimodal Learning with Missing Modality has been released Paper (in submission).
  • July 2024, two papers have been accepted by ECCV 2024.
  • May 2024, the code of ShaSpec from CVPR 2023 is now released Code.
  • Mar 2024, a multi-document summarization paper has been accepted by WCCI-IJCNN 2024 Paper.
  • Mar 2024, a Prunning-based model privacy protection paper has been accepted by IEEE S&P 2024 Paper.
  • Feb 2024, an Image Quality Assessment for Transvaginal Ultrasound Scans paper has been accepted by ISBI 2024 Paper.
  • Nov 2023, a Human-Computer Interaction (HCI) with multi-modal learning paper has been accepted by AAAI 2024 Paper.
  • Aug 2023, a great pleasure to be awarded as the winner of Eureka Prize (Australia premier national science award) Website.
  • Jul 2023, a Noisy Chest X-ray Classification paper has been accepted by ICCV 2023 Paper.
  • Jun 2023, a Multi-modal Learning with Missing Modality paper has been accepted by MICCAI 2023 Paper.
  • Jun 2023, a Multi-modal Learning with Missing Modality paper will be presented at CVPR 2023 Paper.
  • Apr 2023, a MRI and Ultrasound Image analysis paper has been accepted by ISBI 2023, and received *Best Oral Paper Award Paper.
  • Apr 2023, a Robust Digital Watermarking paper has been accepted by IEEE Transactions on Computational Social Systems (TCSS) Paper.
  • Sep 2022, a Multi-modal inference attack paper has been accepted by NeurIPS 2022 Paper.
  • Sep 2022, a Multi-document Summarization paper has been accepted by WCCI-IJCNN 2022 Paper.
  • Sep 2022, a Crowd Counting by Reinforcement Learning paper has been accepted by TNNLS Paper.
  • Jul 2022, a Multi-modal Uncertainty Measurement paper has been accepted by ECCV 2022 Paper.
  • Apr 2022, a Medical Image Processing paper has been accepted by MICCAI 2022 Paper.
  • Mar 2022, a Multi-document Summarization Survey paper has been accepted by ACM Computing Survey Paper.
  • Nov 2021, a Model Quantization Image Super-Resolution paper has been published by ACM Multimedia 2021 Paper Video.
  • Nov 2021, a Traffic Optimisation with Reinforcement Learning paper has been published on IEEE Open Journal of Intelligent Transportation System Paper.
  • Apr 2021, a AI security paper has been accepted by ACISP-2021 Paper.
  • Jun 2020, a Reinforcement Learning on Vision-and-Language Navigation paper has been accepted by ECCV 2020 paper, Video.
  • Apr 2020, a Unsupervised Representation Learning paper has been accepted by IJCAI 2020 paper, Video.
  • Jul 2019, a Medical Image Processing paper has been accepted by MICCAI 2019 paper
  • Mar 2018, an Online Tensor Decomposition paper has been accepted by ICACI 2018 paper

Services

  • Local Organiser of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2026).
  • Served as an Area Chair (AC) of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).
  • Served as an Area Chair (AC) of International Joint Conference on Neural Networks (IJCNN).
  • Served as a volunteer of Association for Computational Linguistics (ACL).
  • Serving as an Program Committee of BioFM Workshop of The IEEE International Conference on Data Mining (ICDM'25).
  • Organizing MBZUAI Computer Vision Department Weekly Morning Seminar at semester2 of 2025. (on going).
  • Organized MBZUAI Computer Vision Department Weekly Morning Seminar at semester1 of 2025.
  • Organized MBZUAI Computer Vision Department Weekly Morning Seminar at semester2 of 2024.
  • Reviewing Services (multiple times): TPAMI, CVPR, ICCV, ECCV, NeurIPS, KDD, AAAI, MICCAI, ACL, EMNLP, TNNLS, TIP, ACCV, ECML/PKDD, DICTA, ICIG, ADMA

Awards

Teaching

  • Guest Lecturer of CV8502 Multimodal Vision class with Dr. Yutong Xie 2025 Semester1 at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
  • Guest Lecturer of CV8501 Medical Multimodal Vision class with Prof. Mohammad Yaqub 2025 Semester1 at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
  • Tutor of HC701 Medical Imaging: Physics and Analysis class with Prof. Mohammad Yaqub 2025 Semester1 at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
  • Guest Lecturer of COMP SCI 3007 - Artificial Intelligence 2023 Semester1 at the University of Adelaide.
  • Lecturer of TECH 1004 - Artificial Intelligence Technologies 2022 Semester2 at the University of Adelaide.
  • Lecturer of TECH 1004 - Artificial Intelligence Technologies 2021 Semester2 at the University of Adelaide.
  • Lecturer of TECH 1004 - Artificial Intelligence Technologies 2020 Semester2 at the University of Adelaide.
  • Tutor of Mining Big Data class with Dr. Bernard Evans 2023 Semester1 at the University of Adelaide.
  • Tutor of Artificial Intelligence with Dr. Wei Emma Zhang and Dr. Bernard Evans 2023 Semester1 at the University of Adelaide.
  • Tutor of Using Machine Learning Tools Trimester 2022 with Dr. Menasha Thilakaratne 2022 Semester2 at the University of Adelaide.
  • Tutor of Event Driven Computing Semester 1 2022 with Mr. Ian Knight 2022 Semester2 at the University of Adelaide.
  • Tutor of Artificial Intelligence with Prof. Tat-Jun Chin and Dr. Wei Emma Zhang 2022 Semester1 at the University of Adelaide.
  • Tutor of Mining Big Data class with Prof. Javen Qinfeng Shi 2022 Semester1 at the University of Adelaide.
  • Tutor of Operation System with Dr. Andrey Kan 2021 Semester2 at the University of Adelaide.
  • Tutor of Mining Big Data class with Prof. Javen Qinfeng Shi 2021 Semester1 at the University of Adelaide.
  • Tutor of Mining Big Data class with Prof. Chunhua Shen 2019 Semester1 at the University of Adelaide.
  • Tutor of C++ & Algorithm class 2015 Semester1 at South China University of Technology.

Supervision

  • Hanwen Wang (Ph.D. student at the University of Adelaide, co-supervising with Dr. Tim Chen).
  • Maxim Popov (master student at MBZUAI, co-supervising with Prof. Mohammad Yaqub).
  • Maryam Arjemandi (master student at MBZUAI, co-supervising with Prof. Mohammad Yaqub).
  • Dongli He (master student at MBZUAI, co-supervising with Prof. Mohammad Yaqub).
  • Shamsa (master student at MBZUAI, co-supervising with Prof. Mohammad Yaqub).
  • Yuan Zhang (Ph.D. student at the University of Adelaide, co-supervising with Prof. Gustavo Carneiro).
  • Renjie Wu (master student at the University of Adelaide, co-supervising with Dr. Tim Chen).
  • Zihan Wang (master student at the University of Adelaide, co-supervised with Dr. Jason Xue).
  • David Butler (master student at the University of Adelaide, co-supervised with Prof. Gustavo Carneiro).

Books

    A Guide for Advanced C++ Programming. link.

Tutorials

Selected Publications

Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning
H Wang, C Ma, I Reid, M Yaqub
In submission
[PDF] [Code]
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
H Wang, I Almakky, C Ma, N Saeed, M Yaqub
The British Machine Vision Conference 2025 (BMVC 2025)
[PDF] [Code]
Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Data
H Wang, S Hassan, Y Liu, C Ma, Y Chen, Q Li, J Geng, B Wang, Y Tian, Y Xie, J Avery, L Hull, I Reid, M Yaqub, G Carneiro
In submission
[PDF] [Code]
Rethinking Weight-Averaged Model-merging
H Wang, C Ma, I Almakky, I Reid, G Carneiro, M Yaqub
In submission
[PDF] [Code]
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling
H Wang, Y Chen, C Ma, J Avery, L Hull, G Carneiro
Computer Vision and Pattern Recognition 2023 (CVPR 2023)
[PDF] [Code]
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
H Wang, C Ma, J Zhang, Y Zhang, J Avery, L Hull, G Carneiro
Medical Image Computing and Computer-Assisted Intervention 2023 (MICCAI 2023)
[PDF] [Code]
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
H Wang, J Zhang, Y Chen, C Ma, J Avery, L Hull, G Carneiro
European Conference on Computer Vision 2022 (ECCV 2022)
[PDF] [Code]
Code is publicly available now!
Fully Quantized Image Super-Resolution Networks
H Wang, P Chen, B Zhuang, C Shen
ACM Multimedia 2021 (ACMMM 2021)
[PDF] [Code]
Unsupervised Representation Learning by Predicting Random Distances
H Wang, G Pang, C Shen, C Ma
International Joint Conference on Artificial Intelligence 2021 (IJCAI 2020)
[PDF] [Code]
Soft expert reward learning for vision-and-language navigation
H Wang, Q Wu, C Shen
European Conference on Computer Vision 2020 (ECCV 2020)
[PDF] [Code]
Robust Watermarking Using Inverse Gradient Attention
H Zhang*, H Wang*, Y Li, Y Cao, C Shen
International Journal of Intelligent Systems (IJIS)
[PDF] [Code]
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
H Wang, H Chen, Q Wu, C Ma, Y Li, C Shen
IEEE Open Journal of Intelligent Transportation System (OJ-ITS)
[PDF] [Code]
Kernel Adversarial Learning for Real-world Image Super-resolution
H Wang, C Ma, J Zhang, W Zhang, G Carneiro
[PDF] [Code]
Multi-document Summarization via Deep Learning Techniques: A Survey
C Ma, WE Zhang, M Guo, H Wang, QZ Sheng
ACM Computing Survey
[PDF]
CORELOCKER: Neuron-level Usage Control
Z Wang, Z Ma, X Feng, R Sun, H Wang, M Xue, G Bai
2024 IEEE Symposium on Security and Privacy (SP) (IEEE S&P 2024)
[PDF]
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography
Z Wang, O Byrnes, H Wang, R Sun, C Ma, H Chen, Q Wu, M Xue
IEEE Transactions on Computational Social Systems (TCSS)
[PDF]
Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation
R Wu, H Wang, F Dayoub, H Chen
Association for the Advancement of Artificial Intelligence 2024 (AAAI 2024)
[PDF] [Code]
M4I: Multi-modal Models Membership Inference
P Hu, Z Wang, R Sun, H Wang, M Xue
Neural Information Processing Systems 2022 (NeurIPS 2022)
[PDF] [Code]
A Closer Look at Audio-Visual Semantic Segmentation
Y Chen, Y Liu, H Wang, F Liu, C Wang, G Carneiro
Computer Vision and Pattern Recognition 2023 (CVPR 2024)
[PDF]
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
Y Chen, F Liu, H Wang, C Wang, Y Tian, Y Liu, G Carneiro
International Conference on Computer Vision 2023 (ICCV 2023)
[PDF]
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
Y Chen, H Wang, C Wang, Y Tian, F Liu, Y Liu, M Elliott, D J. McCarthy, H Frazer, G Carneiro
Medical Image Computing and Computer Assisted Interventions 2022 (MICCAI 2022)
[PDF]
The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification
D Butler, H Wang, Y Zhang, M To, J Avery, L Hull, G Carneiro
International Conference of the IEEE Engineering in Medicine and Biology Society 2023 (EMBC 2023)
[PDF]
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images
Y Zhang, H Wang, D Butler, M To, J Avery, L Hull, G Carneiro
International Symposium on Biomedical Imaging 2023 (ISBI 2023, *Best Oral Paper Award)
[PDF]
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
L Chen, H Wang, B Zi Hao Zhao, M Xue, H Qian
Information Security and Privacy 2021 (ACISP 2021)
[PDF] [Code]
Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective
H Lu, L Liu, H Wang, Z Cao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2022).
[PDF] [Code]
Multi-label thoracic disease image classification with cross-attention networks
C Ma, H Wang, SCH Hoi
Medical Image Computing and Computer Assisted Interventions 2019 (MICCAI 2019)
[PDF]
Randomized online CP decomposition
C Ma, X Yang, H Wang
International Conference on Advanced Computational Intelligence 2018 (ICACI 2018)
[PDF]
A Graphical Programming System (comparable to Lego EV3)
H Wang, L Qin, H Liang, Z Wu, Y Pan, H Han
Patents have been published
[PDF] [Patents]

Patents & Copyrights

  • “A Graphical Programming Multithreading Synchronization Method.” 1 June 2017. Patent (201710405733.7). Software
  • “A Visual Programming Control and Store System.” 30 November 2016. Patent (201611092887.7). Certificate
  • “Dual Mode Video Masked-men Detection Based on Statistical Characteristics.” 20 December 2015. Patent (201510971527.3).
  • “Masked-men Detection Based on Color Features.” 7 July 2015. Patent (201510451280.2).
  • “Intelligent online CP decomposition system”, 16 March 2018, Software copyright (2018SR263150)
  • “Intelligent Masked-Men Detection system.” 26 September 2014. Software copyright (2015SR035707).
  • “ACM/ICPC Online Judge.” 26 March 2014. Software copyright (2015SR035709).