🎓 EDUCATION
| 10/2021 - Present |
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Doctor of Philosophy
School of Computer Science, Faculty of Engineering
The University of Sydney, Australia
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| 10/2019 - 9/2020 |
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Master of Philosophy
School of Computer Science, Faculty of Engineering
The University of Sydney, Australia
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| 9/2014 - 6/2018 |
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Bachelor of Engineering
Faculty of Electronic and Information Engineering
Capital Normal University, China
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📝 PUBLICATIONS
Journal
| 2022 | [1] | Neural Architecture Search via Proxy Validation Yanxi Li, Minjing Dong, Yunhe Wang & Chang Xu In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 🚩 Impact Factor = 23.6 |
| [2] | Neural Architecture Tuning with Policy Adaptation Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang & Chang Xu In Neurocomputing. |
Conference
| 2024 | [3] | Harnessing Edge Information for Improved Robustness in Vision Transformers Yanxi Li, Chengbin Du & Chang Xu In The AAAI Conference on Artificial Intelligence (AAAI). |
| [4] | Neural Architecture Retrieval Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu In International Conference on Learning Representations (ICLR). |
| 2023 | [5] | 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). |
| [6] | Stable Diffusion is Unstable Chengbin Du, Yanxi Li, Zhongwei Qiu & Chang Xu In Advances in Neural Information Processing Systems (NeurIPS). 🚩 Spotlight. |
| 2023 | [7] | 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). 🚩 Distinguished Paper Award (12 winners out of 1,721 accepted papers, resulting in a success rate of 0.7%). |
| 2022 | [8] | 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). |
| [9] | 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). |
| 2021 | [10] | 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). |
| [11] | Neural Architecture Dilation for Adversarial Robustness Yanxi Li, Zhaohui Yang, Yunhe Wang & Chang Xu In Advances in Neural Information Processing Systems (NeurIPS). |
| 2021 | [12] | 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). |
| 2020 | [13] | Neural Architecture Search in A Proxy Validation Loss Landscape Yanxi Li, Minjing Dong, Yunhe Wang & Chang Xu In International Conference on Machine Learning (ICML). |
| [14] | Adapting Neural Architectures Between Domains Yanxi Li, Zhaohui Yang, Yunhe Wang & Chang Xu In Advances in Neural Information Processing Systems (NeurIPS). |
Pre-printing
| 2024 | [15] | Understanding Robustness of Visual State Space Models for Image Classification Chengbin Du, Yanxi Li & Chang Xu In arXiv preprint. arXiv:2403.10935. |
| 2023 | [16] | GPT Self-Supervision for a Better Data Annotator Xiaohuan Pei, Yanxi Li, Zijian Wang & Chang Xu In arXiv preprint. arXiv:2306.04349. |
| 2020 | [17] | Adversarially Robust Neural Architectures Minjing Dong, Yanxi Li, Yunhe Wang & Chang Xu In arXiv preprint. arXiv:2009.00902. |
🏆 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 [7]
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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📝 ACADEMIC SERVICES
Journal Reviewer
TPAMI (2021-2023), TMLR (2023-2024), Neurocomputing (2021-2023).
Conference Reviewer
NeurIPS (2021-2023), ICML (2021-2024), CVPR (2021-2023), ICLR (2023-2024), AAAI (2021-2024), ECCV (2022, 2024), ICCV (2023), SIGKDD (2021).
💼 INDUSTRIAL EXPERIENCE
| 9/2021 - 3/2022 |
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Noah’s Ark Lab
PhD Research Intern
Conference papers [8] and [9] were completed during this internship.
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| 4/2018 - 6/2018 |
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IBM China Development Lab
Undergraduate Development Intern
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