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.
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.
WoS22022 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.
Scopus11 WoS12022 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.
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.
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.
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.
Scopus72021 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.
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.
Scopus152020 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 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.
Scopus23 WoS21
-
Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2021 Co-Supervisor Imagendo: Diagnosing endometriosis with imaging and AI Doctor of Philosophy Doctorate Full Time Ms Yuan Zhang
Connect With Me
External Profiles