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Zhengqi Gao
Zhengqi Gao
Ph.D. student, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Variational quantum pulse learning
Z Liang, H Wang, J Cheng, Y Ding, H Ren, Z Gao, Z Hu, DS Boning, ...
2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022
562022
Co-advise: Cross inductive bias distillation
S Ren, Z Gao, T Hua, Z Xue, Y Tian, S He, H Zhao
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022
562022
A simple data mixing prior for improving self-supervised learning
S Ren, H Wang, Z Gao, S He, A Yuille, Y Zhou, C Xie
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
442022
The modality focusing hypothesis: Towards understanding crossmodal knowledge distillation
Z Xue, Z Gao, S Ren, H Zhao
International Conference on Learning Representations (ICLR) 2023, 2023
382023
Multimodal knowledge expansion
Z Xue, S Ren, Z Gao, H Zhao
Proceedings of the IEEE/CVF International Conference on Computer Vision, 854-863, 2021
282021
Efficient performance trade-off modeling for analog circuit based on Bayesian neural network
Z Gao, J Tao, F Yang, Y Su, D Zhou, X Zeng
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019
272019
Learning from multiple annotator noisy labels via sample-wise label fusion
Z Gao, FK Sun, M Yang, S Ren, Z Xiong, M Engeler, A Burazer, L Wildling, ...
European Conference on Computer Vision, 407-422, 2022
192022
Automatic synthesis of broadband silicon photonic devices via Bayesian optimization
Z Gao, Z Zhang, DS Boning
Journal of Lightwave Technology 40 (24), 7879-7892, 2022
15*2022
Neurolight: A physics-agnostic neural operator enabling parametric photonic device simulation
J Gu, Z Gao, C Feng, H Zhu, R Chen, D Boning, D Pan
Advances in Neural Information Processing Systems 35, 14623-14636, 2022
132022
Efficient parametric yield estimation over multiple process corners via Bayesian inference based on Bernoulli distribution
Z Gao, J Tao, D Zhou, X Zeng
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
122019
Nominality score conditioned time series anomaly detection by point/sequential reconstruction
CYA Lai, FK Sun, Z Gao, JH Lang, D Boning
Advances in Neural Information Processing Systems 36, 2024
82024
Efficient rare failure analysis over multiple corners via correlated Bayesian inference
Z Gao, J Tao, Y Su, D Zhou, X Zeng, X Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
82019
Impact of process variations on splitter-tree-based integrated optical phased arrays
Z Zhang, M Notaros, Z Gao, U Chakraborty, J Notaros, DS Boning
Optics Express 31 (8), 12912-12921, 2023
7*2023
Automatic synthesis of light-processing functions for programmable photonics: theory and realization
Z Gao, X Chen, Z Zhang, U Chakraborty, W Bogaerts, DS Boning
Photonics Research 11 (4), 643-658, 2023
72023
Efficient non-Monte-Carlo yield estimation
Z Gao, R Rohrer
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
72021
Fast statistical analysis of rare failure events with truncated normal distribution in high-dimensional variation space
Z Gao, J Tao, Y Su, D Zhou, X Zeng, X Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
72021
Automatic realization of light processing functions for programmable photonics
Z Gao, X Chen, Z Zhang, U Chakraborty, W Bogaerts, DS Boning
2022 IEEE Photonics Conference (IPC), 1-2, 2022
62022
Exploring a bayesian optimization framework compatible with digital standard flow for soft-error-tolerant circuit
Y Li, X Zeng, Z Gao, L Lin, J Tao, J Han, X Cheng, M Tahoori, X Zeng
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
52020
Rare Event Probability Learning by Normalizing Flows
Z Gao, D Zhang, L Daniel, D Boning
arXiv.2310.19167, 2023
32023
Few-shot Bayesian performance modeling for silicon photonic devices under process variation
Z Gao, Z Zhang, DS Boning
Journal of Lightwave Technology 41 (18), 6007-6014, 2023
32023
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Articles 1–20