Zhengqi Gao

Orcid: 0000-0002-1515-4198

Affiliations:

Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
Fudan University, School of Microelectronicsm, Shanghai, China

According to our database¹, Zhengqi Gao authored at least 30 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation.

[BibT_eX]

[DOI]

CoRR, 2024

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2024

NOFIS: Normalizing Flow for Rare Circuit Failure Analysis.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Unleashing the Power of Graph Spectral Sparsification for Power Grid Analysis via Incomplete Cholesky Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2023

Circuit Theory of Time Domain Adjoint Sensitivity.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

Correlated Bayesian Model Fusion: Efficient High-Dimensional Performance Modeling of Analog/RF Integrated Circuits Over Multiple Corners.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

Rare Event Probability Learning by Normalizing Flows.

[BibT_eX]

[DOI]

CoRR, 2023

KirchhoffNet: A Circuit Bridging Message Passing and Continuous-Depth Models.

[BibT_eX]

[DOI]

Zhengqi Gao

Fan-Keng Sun

Duane S. Boning

CoRR, 2023

Provable Routing Analysis of Programmable Photonics.

[BibT_eX]

[DOI]

CoRR, 2023

Impact of Spatial Variations on Splitter-Tree-Based Integrated Optical Phased Arrays.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Fast Statistical Analysis of Rare Failure Events With Truncated Normal Distribution in High-Dimensional Variation Space.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Efficient Non-Monte-Carlo Yield Estimation.

[BibT_eX]

[DOI]

Zhengqi Gao

Ron Rohrer

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Automatic Synthesis of Light Processing Functions for Programmable Photonics: Theory and Realization.

[BibT_eX]

[DOI]

CoRR, 2022

The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2022

Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization.

[BibT_eX]

[DOI]

CoRR, 2022

Variational Quantum Pulse Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

A Simple Data Mixing Prior for Improving Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Co-advise: Cross Inductive Bias Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multimodal Knowledge Expansion.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Bayesian Inference on Introduced General Region: An Efficient Parametric Yield Estimation Method for Integrated Circuits.

[BibT_eX]

[DOI]

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Efficient Parametric Yield Estimation Over Multiple Process Corners via Bayesian Inference Based on Bernoulli Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Efficient Rare Failure Analysis Over Multiple Corners via Correlated Bayesian Inference.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Projection based Active Gaussian Process Regression for Pareto Front Modeling.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Corner Parametric Yield Estimation via Bayesian Inference on Bernoulli Distribution with Conjugate Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Exploring a Bayesian Optimization Framework Compatible with Digital Standard Flow for Soft-Error-Tolerant Circuit.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Efficient Performance Trade-off Modeling for Analog Circuit based on Bayesian Neural Network.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer-Aided Design, 2019

Zhengqi Gao

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