🎓 EDUCATION
| 10/2021 - Present |
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Doctor of Philosophy, Computer Science
School of Computer Science, Faculty of Engineering
The University of Sydney, NSW, Australia
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| 10/2019 - 9/2020 |
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Master of Philosophy, Computer Science
School of Computer Science, Faculty of Engineering
The University of Sydney, NSW, Australia
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| 9/2014 - 6/2018 |
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Bachelor of Engineering, Electronic and Information Engineering
Faculty of Electronic and Information Engineering
Capital Normal University, Beijing, China
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📝 PUBLICATIONS
Journal
| [1] |
Adversarially Robust Neural Architectures
Minjing Dong, Yanxi Li, Yunhe Wang & Chang Xu
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. 🚩
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| [2] |
Neural Architecture Search via Proxy Validation
Yanxi Li, Minjing Dong, Yunhe Wang & Chang Xu
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. 🚩
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| [3] |
Neural Architecture Tuning with Policy Adaptation
Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang & Chang Xu
In Neurocomputing, 2022.
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Conference
| [4] |
Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction
Yanxi Li & Chengbin Du
In The AAAI Conference on Artificial Intelligence (AAAI), 2025.
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| [5] |
Harnessing Edge Information for Improved Robustness in Vision Transformers
Yanxi Li, Chengbin Du & Chang Xu
In The AAAI Conference on Artificial Intelligence (AAAI), 2024.
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| [6] |
Neural Architecture Retrieval
Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
In International Conference on Learning Representations (ICLR), 2024.
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| [7] |
Trade-off between Robustness and Accuracy of Vision Transformers
Yanxi Li & Chang Xu
In The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
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| [8] |
Stable Diffusion is Unstable
Chengbin Du, Yanxi Li, Zhongwei Qiu & Chang Xu
In Advances in Neural Information Processing Systems (NeurIPS), 2023. 🚩 Spotlight.
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| [9] |
Neural Architecture Search for Wide Spectrum Adversarial Robustness
Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You & Chang Xu
In The AAAI Conference on Artificial Intelligence (AAAI), 2023. 🚩 Distinguished Paper Award (12 winners out of 1,721 accepted papers, resulting in a success rate of 0.7%).
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| [10] |
Spatial-channel Token Distillation for Vision MLPs
Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang & Chang Xu
In International Conference on Machine Learning (ICML), 2022.
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| [11] |
An Image Patch Is a Wave: Phase-Aware Vision MLP
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu & Yunhe Wang
In The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
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| [12] |
One-shot Graph Neural Architecture Search with Dynamic Search Space
Yanxi Li, Zean Wen, Yunhe Wang & Chang Xu
In The AAAI Conference on Artificial Intelligence (AAAI), 2021.
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| [13] |
Neural Architecture Dilation for Adversarial Robustness
Yanxi Li, Zhaohui Yang, Yunhe Wang & Chang Xu
In Advances in Neural Information Processing Systems (NeurIPS), 2021.
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| [14] |
Prioritized Architecture Sampling with Monto-Carlo Tree Search
Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang & Chang Xu
In The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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| [15] |
Neural Architecture Search in A Proxy Validation Loss Landscape
Yanxi Li, Minjing Dong, Yunhe Wang & Chang Xu
In International Conference on Machine Learning (ICML), 2020.
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| [16] |
Adapting Neural Architectures Between Domains
Yanxi Li, Zhaohui Yang, Yunhe Wang & Chang Xu
In Advances in Neural Information Processing Systems (NeurIPS), 2020.
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Pre-printing
| [17] |
AI Scaling: From Up to Down and Out
Yunke Wang, Yanxi Li & Chang Xu
In arXiv preprint. arXiv:2502.01677, 2025.
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| [18] |
Understanding Robustness of Visual State Space Models for Image Classification
Chengbin Du, Yanxi Li & Chang Xu
In arXiv preprint. arXiv:2403.10935, 2024.
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| [19] |
GPT Self-Supervision for a Better Data Annotator
Xiaohuan Pei, Yanxi Li, Zijian Wang & Chang Xu
In arXiv preprint. arXiv:2306.04349, 2023.
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🏆 AWARD & SCHOLARSHIP
Scholarship
| 2023 |
Google PhD Fellowship
In the field of Machine Perception, Speech Technology and Computer Vision. One of the 81 recipients globally.
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| 9/2021 - Present |
Faculty of Engineering Research Scholarship
Coverage of academic tuition fees and a living-cost stipend.
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Award
| 2023 |
Distinguished Paper Award [9]
AAAI 2023. 12 winners out of 1,721 accepted papers, resulting in a success rate of 0.7%.
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📖 TEACHING
| 2/2024 - 6/2024 |
Teaching Assistant, COMP5329: Deep Learning
University of Sydney
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| 8/2023 - 11/2023 |
Guest Lecturer, HTIN5005: Applied Healthcare Data Science
University of Sydney
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| 2/2020 - 6/2020 |
Teaching Assistant, COMP5329: Deep Learning
University of Sydney
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💬 PEER MENTORING
| 3/2023 - Present |
Mr. Du (University of Sydney)
PhD Student
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| 12/2022 - Present |
Mr. Pei (University of Sydney)
PhD Student
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| 6/2022 - 12/2022 |
Mr. Cheng (University of Sydney)
Master of Philosophy Student
Conference paper [9] were completed during this mentoring and was awarded the Distinguished Paper Award at AAAI 2023.
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