Yanxi Li


Artificial Intelligence / Deep Learning / Robust and Trustworthy AI / Computer Vision

🎓 PhD Student @ USYD
🏆 Google PhD Fellow

🌐 Google Scholar: https://scholar.google.com/citations?user=3HDmndkAAAAJ
🌐 LinkedIn: https://www.linkedin.com/in/lyxi

🎓 EDUCATION

10/2021 - Present USYD
Doctor of Philosophy, Computer Science
School of Computer Science, Faculty of Engineering
The University of Sydney, NSW, Australia
10/2019 - 9/2020 USYD
Master of Philosophy, Computer Science
School of Computer Science, Faculty of Engineering
The University of Sydney, NSW, Australia
9/2014 - 6/2018 CNU
Bachelor of Engineering, Electronic and Information Engineering
Faculty of Electronic and Information Engineering
Capital Normal University, Beijing, China

📝 PUBLICATIONS

Journal

[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), 2022. 🚩 Impact Factor = 23.6
[2]
Neural Architecture Tuning with Policy Adaptation
Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang & Chang Xu
In Neurocomputing, 2022.

Conference

[3]
Harnessing Edge Information for Improved Robustness in Vision Transformers
Yanxi Li, Chengbin Du & Chang Xu
In The AAAI Conference on Artificial Intelligence (AAAI), 2024.
[4]
Neural Architecture Retrieval
Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
In International Conference on Learning Representations (ICLR), 2024.
[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), 2023.
[6]
Stable Diffusion is Unstable
Chengbin Du, Yanxi Li, Zhongwei Qiu & Chang Xu
In Advances in Neural Information Processing Systems (NeurIPS), 2023. 🚩 Spotlight.
[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), 2023. 🚩 Distinguished Paper Award.
[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), 2022.
[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), 2022.
[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), 2021.
[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), 2021.
[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), 2020.
[14]
Adapting Neural Architectures Between Domains
Yanxi Li, Zhaohui Yang, Yunhe Wang & Chang Xu
In Advances in Neural Information Processing Systems (NeurIPS), 2020.

Pre-printing

[15]
Understanding Robustness of Visual State Space Models for Image Classification
Chengbin Du, Yanxi Li & Chang Xu
In arXiv preprint. arXiv:2403.10935, 2024.
[16]
GPT Self-Supervision for a Better Data Annotator
Xiaohuan Pei, Yanxi Li, Zijian Wang & Chang Xu
In arXiv preprint. arXiv:2306.04349, 2023.
[17]
Adversarially Robust Neural Architectures
Minjing Dong, Yanxi Li, Yunhe Wang & Chang Xu
In arXiv preprint. arXiv:2009.00902, 2020.

🏆 AWARD & SCHOLARSHIP

Scholarship

2023
Google PhD Fellowship
In the field of Machine Perception, Speech Technology and Computer Vision. One of the 81 recipients globally.
9/2021 - Present
Faculty of Engineering Research Scholarship
Coverage of academic tuition fees and a living-cost stipend.

Award

2023
Distinguished Paper Award [7]
AAAI 2023. 12 winners out of 1,721 accepted papers, resulting in a success rate of 0.7%.

📖 TEACHING

2/2024 - 6/2024
Teaching Assistant, COMP5329: Deep Learning
University of Sydney
8/2023 - 11/2023
Guest Lecturer, HTIN5005: Applied Healthcare Data Science
University of Sydney
2/2020 - 6/2020
Teaching Assistant, COMP5329: Deep Learning
University of Sydney

💬 PEER MENTORING

3/2023 - Present
Mr. Du (University of Sydney)
First-year PhD Student
Conference papers [3] and [6] (spotlight), and pre-print paper [15] were completed during this mentoring.
12/2022 - Present
Mr. Pei (University of Sydney)
Second-year PhD Student
Conference paper [4] and pre-print paper [16] were completed during this mentoring.
6/2022 - 12/2022
Mr. Cheng (University of Sydney)
Master of Philosophy Student
Conference paper [7] were completed during this mentoring and was awarded the Distinguished Paper Award at AAAI 2023.

📝 ACADEMIC SERVICES

Journal Reviewer

IEEE TPAMI (2021-2024), IEEE TNNLS (was TNN, 2023-2024), IEEE TMM (2023-2024), TMLR (2023-2024), Neurocomputing (2021-2023).

Conference Reviewer

NeurIPS (2021-2024), ICML (2021-2024), CVPR (2021-2023), ICLR (2023-2024), AAAI (2021-2024), ICCV (2023), ECCV (2022, 2024), ICDM (2021-2022, 2024), ACM SIGKDD (2021) ACM MM (2021).

💼 INDUSTRIAL EXPERIENCE

9/2021 - 3/2022 NOAH
Noah’s Ark Lab
PhD Research Intern
Conference papers [8] and [9] were completed during this internship.
4/2018 - 6/2018 IBM
IBM China Development Lab
Undergraduate Development Intern