About Me
I am Zhao Junbo, a master’s student majoring in Electronic Engineering from Nanoscale Integrated Circuits and Systems Lab, Department of Electronic Engineering, Tsinghua University. I have been engaged in the research of automatic machine learning (AutoML), especially Neural Architecture Search (NAS), since 2019. In addition, I also pay attention to the field of adversarial robustness. I prefer to challenge technology and push the limits of what I already do. And I am looking for a Ph.D. position at present.
Interests
- Artificial Intelligence
- Adversarial Robustness
- Neural Architecture Search
Education
Master in Electronic Engineering, 2021-
Tsinghua University
Bachelor in Engineering Physics, 2017-2021
Tsinghua University
Publications
(2023).
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”.
In AAAI 2023.
(2022).
TA-GATES: An Encoding Scheme for Neural Network Architectures.
In NeurIPS 2022.
(2020).
Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach.
In arXiv preprint.