Welcome
The last update of this blog is on 21 May 2026.
Biography
Zhixiong Yue obtained his B.E. in Computer Science and Technology, Southern University of Science and Technology (SUSTech). He obtained his Doctor of Philosophy (PhD) degree in School of Computer Science, University of Technology Sydney (UTS). His main research interest centers on AIGC and image generation.
Recent publications
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Zhixiong Yue, Zixuan Ni, Feiyang Ye, Jinshan Zhang, Sheng Shen, Zhenpeng Mi. Know Your Step: Faster and Better Alignment for Flow Matching Models via Step-aware Advantages. arXiv preprint arXiv:2602.01591, 2026.
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Zhixiong Yue, Yu Zhang, Jie Liang. Learning Conflict-Noticed Architecture for Multi-Task Learning. Proceedings of the 2023 National Conference of the American Association for Artificial Intelligence (AAAI 2023), Washington, USA, February 7-14, 2023. [CORA Rank A*]
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Zhixiong Yue, Baijiong Lin, Yu Zhang, Jie Liang. Effective, Efficient and Robust Neural Architecture Search. Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN 2022), online, 2022. [CORA Rank A]
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Zhixiong Yue, Pengxin Guo, Yu Zhang, Jie Liang. Learning Feature Alignment Architecture for Domain Adaptation. Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN 2022), online, 2022. [CORA Rank A]
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Feiyang Ye*, Baijiong Lin*, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang. Multi-Objective Meta Learning. Proceedings of the 2021 Advances in Neural Information Processing Systems (NeurIPS 2021), online, 2021. (*Equal Contribution) [CORA Rank A*]
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Mao Lin Huang*, Zhixiong Yue*, Quang Vinh Nguyen, Jie Liang, Zongwei Luo. Stroke Data Analysis through a HVN Visual Mining Platform. Proceedings of the 2019 23rd International Conference in Information Visualization (IV 2019), Adelaide, Australia, July 16-19, 2019. (*Equal Contribution) [CORA Rank B]
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Yue, Z., Jiang, Y., Pan, D. and Luo, Z., 2017, September. An End-to-end Tag-based Recommendation System for Verbal Reasoning Questions. In Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques (pp. 131-135). ACM.
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Yinghao, J. and Zhixiong, Y., 2017, September. Mobile Advertising Predicted Conversion Rate Model a Recommendation System with Machine Learing Approach. In Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques (pp. 117-119). ACM.