Zhen Zhang
Grant-Funded Researcher (C)
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
Zhen Zhang is currently a Postdoctoral Researcher at the University of Adelaide, working with Prof. Qinfeng (Javen) Shi. Previously, he was a postdoctoral research fellow in the Department of Computer Science at the National University of Singapore under the supervision of Prof. Lee Wee Sun. He received a PhD in Computer Science from Northwestern Polytechnical University (Xi’an, China) under the supervision of Prof. Yanning Zhang. During Nov. 2012 to Dec. 2014, he was a visiting student at Australian Centre for Visual Technologies, University of Adelaide, under the supervision of Prof. Anton van den Hengel and Prof. Qinfeng (Javen) Shi. He completed his bachelor degree in Computer Science in 2010 at School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China, working with Prof. Yanning Zhang and Dr. Zhonghua Fu.
Zhen Zhang is currently a Postdoctoral Researcher at the University of Adelaide, working with Prof. Qinfeng (Javen) Shi, on causality, reinforcement learning and computer vision. Previously, he was a postdoctoral research fellow in the Department of Computer Science at the National University of Singapore under the supervision of Prof. Lee Wee Sun. He received a PhD in Computer Science from Northwestern Polytechnical University (Xi’an, China) under the supervision of Prof. Yanning Zhang. During Nov. 2012 to Dec. 2014, he was a visiting student at Australian Centre for Visual Technologies, University of Adelaide, under the supervision of Prof. Anton van den Hengel and Prof. Qinfeng (Javen) Shi. He completed his bachelor degree in Computer Science in 2010 at School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China, working with Prof. Yanning Zhang and Dr. Zhonghua Fu.
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Language Competencies
Language Competency Chinese (Mandarin) Can read, write, speak, understand spoken and peer review English Can read, write, speak, understand spoken and peer review -
Research Interests
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Journals
Year Citation 2024 Chen, L., Zhang, Y., Song, Y., Zhang, Z., & Liu, L. (2024). A Causal Inspired Early-Branching Structure for Domain Generalization. International Journal of Computer Vision, 132(9), 4052-4072.
2024 Zhang, X., Zhang, Z., Chinnici, A., Sun, Z., Shi, J. Q., Nathan, G. J., & Chin, R. C. (2024). Physics-informed data-driven unsteady Reynolds-averaged Navier-Stokes turbulence modeling for particle-laden jet flows. Physics of Fluids, 36(5), 23 pages.
2024 Li, H., Li, X., Wang, P., Zhang, Z., Davey, K., Shi, J. Q., & Qiao, S. -Z. (2024). Machine Learning Big Data Set Analysis Reveals C-C Electro-Coupling Mechanism. Journal of the American Chemical Society, 146(32), 22850-22858.
2023 Zhao, Y., Li, H., Shan, J., Zhang, Z., Li, X., Shi, J. Q., . . . Li, H. (2023). Machine Learning Confirms the Formation Mechanism of a Single-Atom Catalyst via Infrared Spectroscopic Analysis. Journal of Physical Chemistry Letters, 14(49), 11058-11062.
Scopus12023 Zhang, X., Wei, W., Zhang, Z., Zhang, L., & Li, W. (2023). Milstein-driven neural stochastic differential equation model with uncertainty estimates. Pattern Recognition Letters, 174, 71-77.
Scopus22023 Yan, Q., Gong, D., Wang, P., Zhang, Z., Zhang, Y., & Shi, J. Q. (2023). SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring. IEEE Transactions on Image Processing, 32, 2857-2866.
Scopus7 WoS12023 Meng, J., Wang, Z., Ying, K., Zhang, J., Guo, D., Zhang, Z., . . . Chen, S. (2023). Human Interaction Understanding With Consistency-Aware Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10), 11898-11914.
Scopus3 Europe PMC12022 Zhou, S., Wang, X., ster, M., Li, B., Ye, C., Zhang, Z., . . . Bu, J. (2022). Direction-Aware User Recommendation Based on Asymmetric Network Embedding. ACM Transactions on Information Systems, 40(2), 1-23.
Scopus62022 Li, Z., Liu, Y., Zhang, Z., Pan, S., Gao, J., & Bu, J. (2022). Cyclic label propagation for graph semi-supervised learning. World Wide Web, 25(2), 703-721.
Scopus42021 Hu, Y., Zhang, Z., Yao, Y., Huyan, X., Zhou, X., & Lee, W. S. (2021). A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs. Engineering Applications of Artificial Intelligence, 97, 104061-1-104061-9.
Scopus24 WoS152020 Li, Z., Wang, H., Ding, D., Hu, S., Zhang, Z., Liu, W., . . . Zhang, J. (2020). Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complexity, 2020, 1-13.
Scopus22020 Gong, D., Zhang, Z., Shi, Q., van den Hengel, A., Shen, C., & Zhang, Y. (2020). Learning deep gradient descent optimization for image deconvolution. IEEE Transactions on Neural Networks and Learning Systems, 31(12), 5468-5482.
Scopus71 WoS46 Europe PMC22019 Suwanwimolkul, S., Zhang, L., Gong, D., Zhang, Z., Chen, C., Ranasinghe, D. C., & Qinfeng Shi, J. (2019). An adaptive markov random field for structured compressive sensing. IEEE Transactions on Image Processing, 28(3), 1556-1570.
Scopus9 WoS62018 Wang, Z., Jin, J., Liu, T., Liu, S., Zhang, J., Chen, S., . . . Shao, Z. (2018). Understanding human activities in videos: A joint action and interaction learning approach. Neurocomputing, 321, 216-226.
Scopus132017 Yao, R., Xia, S., Zhang, Z., & Zhang, Y. (2017). Real-Time Correlation Filter Tracking by Efficient Dense Belief Propagation with Structure Preserving. IEEE Transactions on Multimedia, 19(4), 772-784.
Scopus41 WoS332014 Zhang, Z., & Zhang, Y. (2014). Variable kernel density estimation based robust regression and its applications. Neurocomputing, 134, 30-37.
Scopus9 WoS72013 Zhang, Z., Shi, Q., Zhang, Y., Shen, C., & Hengel, A. V. D. (2013). Constraint Reduction using Marginal Polytope Diagrams for MAP LP
Relaxations.2011 Sun, J. Q., Zhou, J., Zhang, Z., & Zhang, Y. P. (2011). Centroid location for space targets based on energy accumulation. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 19(12), 3043-3048.
Scopus192011 Sun, J. Q., Zhou, J., Zhu, Y., & Zhang, Z. (2011). Smear removal of CCD camera in astronomic observation. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 19(10), 2526-2532.
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Preprint
Year Citation 2022 Liu, Y., Zhang, Z., Gong, D., Gong, M., Huang, B., Hengel, A. V. D., . . . Shi, J. Q. (2022). Identifying Weight-Variant Latent Causal Models.
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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 Causal discovery and Out-of-Distribution generalization: sampling from posterior over causal graphs Doctor of Philosophy Doctorate Full Time Mr Nadhir Hassen 2024 Co-Supervisor Causality on Generative Model Doctor of Philosophy Doctorate Full Time Mr Jiaxin Wang 2024 Co-Supervisor Research on lightweight intelligent models based on deep learning: incorporating artificial intelligence on end devices Doctor of Philosophy Doctorate Full Time Ms Hongrong Cheng 2023 Co-Supervisor Causal Discovery on Videos for Scene Graph Generation Doctor of Philosophy Doctorate Full Time Mr Hamed Damirchi 2023 Co-Supervisor Leveraging Causality for Robust Multi-Source Domain Adaptation Doctor of Philosophy Doctorate Full Time Miss Tianjiao Jiang 2023 Co-Supervisor Domain Adaptation via Causal Representation Learning Doctor of Philosophy Doctorate Full Time Mr Yichao Cai
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