Mr Hu Wang

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.

  • Journals
    Year Citation
    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, 15 pages.
    DOI
    2022 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, PP, 14 pages.
    DOI WoS2
    2022 Ma, C., Zhang, W. E., Guo, M., Wang, H., & Sheng, Q. Z. (2022). Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Computing Surveys, 55(5), 37 pages.
    DOI Scopus11 WoS1
    2022 Wang, H., Chen, H., Wu, Q., Ma, C., & Li, Y. (2022). Multi-Intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline. IEEE Open Journal of Intelligent Transportation Systems, 3, 126-136.
    DOI Scopus2

  • Conference Papers
    Year Citation
    2023 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.
    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.
    DOI Scopus2 WoS1
    2022 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.
    DOI
    2021 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.
    DOI Scopus7
    2021 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.
    DOI
    2020 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.
    DOI Scopus15
    2020 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.
    Scopus19 WoS9
    2019 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.
    DOI Scopus23 WoS21
  • Position: Postdoc Research Fellow
  • Email: hu.wang@adelaide.edu.au
  • Campus: Lot 14
  • Building: Australian Institute for Machine Learning Building, floor Second Floor
  • Org Unit: Australian Institute for Machine Learning - Operations
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