Mr Hu Wang
Postdoc Research Fellow
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
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Journals
Year Citation 2024 Xie, Y., Zhang, J., Liu, L., Wang, H., Ye, Y., Johan, V., & Xia, Y. (2024). ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Analysis, 91, 10 pages.
2023 Wang, Z., Byrnes, O., Wang, H., Sun, R., Ma, C., Chen, H., . . . Xue, M. (2023). Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography. IEEE Transactions on Computational Social Systems, 10(6), 2985-2999.
Scopus62023 Ma, C., Zhang, W. E., Guo, M., Wang, H., & Sheng, Q. Z. (2023). Multi-document Summarization via Deep Learning Techniques: A Survey. ACM COMPUTING SURVEYS, 55(5), 37 pages.
Scopus35 WoS152022 Lu, H., Liu, L., Wang, H., & Cao, Z. (2022). Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective. IEEE Transactions on Neural Networks and Learning Systems, 35(4), 14 pages.
WoS22021 Wang, H., Chen, H., Wu, Q., Ma, C., & Li, Y. (2021). Multi-Intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline. IEEE Open Journal of Intelligent Transportation Systems, 3, 126-136.
Scopus6 WoS2 -
Conference Papers
Year Citation 2024 Wu, R., Wang, H., Dayoub, F., & Chen, H. T. (2024). Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 6100-6108). Association for the Advancement of Artificial Intelligence (AAAI).
2023 Chen, Y., Liu, F., Wang, H., Wang, C., Liu, Y., Tian, Y., & Carneiro, G. (2023). BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. In Proceedings of the IEEE International Conference on Computer Vision (pp. 21227-21238). IEEE.
2023 Hull, M. L., Wang, H., Zhang, Y., Avery, J., To, M. S., Carneiro, G., & Butler, D. (2023). The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification.. In Proceedings of the 45th IEEE Engineering in Medicine and Biology Society Vol. 2023 (pp. 5 pages). Online: IEEE.
2023 Zhang, Y., Wang, H., Avery, J. C., & Hull, M. L. (2023). Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) Vol. 2023-April (pp. 1-5). Cartagena de Indias Colombia: IEEE.
Scopus12023 Hu, P., Wang, Z., Sun, R., Wang, H., & Xue, M. (2023). M<sup>4</sup>I: Multi-modal Models Membership Inference. In Advances in Neural Information Processing Systems Vol. 35. USA: Neural information processing systems foundation.
Scopus32023 Wang, H., Ma, C., Zhang, J., Zhang, Y., Avery, J., Hull, L., & Carneiro, G. (2023). Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14223 LNCS (pp. 216-226). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
2022 Chen, Y., Wang, H., Wang, C., Tian, Y., Liu, F., Liu, Y., . . . Carneiro, G. (2022). Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13433 LNCS (pp. 3-13). Online: Springer.
Scopus2 WoS12022 Wang, H., Zhang, J., Chen, Y., Ma, C., Avery, J., Hull, L., & Carneiro, G. (2022). Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13697 LNCS (pp. 200-217). Online: Springer Nature Switzerland.
Scopus22021 Wang, H., Chen, P., Zhuang, B., & Shen, C. (2021). Fully Quantized Image Super-Resolution Networks. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia (pp. 639-647). New York, USA: ACM.
Scopus12 WoS72021 Chen, L., Wang, H., Zhao, B. Z. H., Xue, M., & Qian, H. (2021). Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models. In Proceedings of the 26th Australasian Conference, (ACISP 2021), as published in Lecture Notes in Computer Science Vol. 13083 (pp. 550-568). Switzerland: Springer International Publishing.
Scopus12020 Wang, H., Wu, Q., & Shen, C. (2020). Soft Expert Reward Learning for Vision-and-Language Navigation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12354 LNCS (pp. 126-141). Switzerland: Springer Nature.
Scopus192020 Wang, H., Pang, G., Shen, C., & Ma, C. (2020). Unsupervised representation learning by predicting random distances. In IJCAI International Joint Conference on Artificial Intelligence Vol. 2021-January (pp. 2950-2956). online: AAAI Press.
Scopus24 WoS92019 Ma, C., Wang, H., & Hoi, S. C. H. (2019). Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11769 LNCS (pp. 730-738). Switzerland: Springer International.
Scopus31 WoS21
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2024 Co-Supervisor A Privacy-preserving Approach for 3D Body Motion Data in VR Doctor of Philosophy Doctorate Full Time Mr Hanwen Wang 2021 Co-Supervisor Imagendo: Diagnosing endometriosis with imaging and AI Doctor of Philosophy Doctorate Full Time Ms Yuan Zhang
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