Zhengqi Gao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 35

Top Topics

Bayesian Inference

Top Venues

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

Publications

Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu
PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation. CoRR (2024)
Hangyu Lin, Chen Liu, Chengming Xu, Zhengqi Gao, Yanwei Fu, Yuan Yao
A Generalization Theory of Cross-Modality Distillation with Contrastive Learning. CoRR (2024)
Jiahua Li, Danyal Ahsanullah, Zhengqi Gao, Ron Rohrer
Circuit Theory of Time Domain Adjoint Sensitivity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Zhengxing Zhang, Milica Notaros, Zhengqi Gao, Uttara Chakraborty, Jelena Notaros, Duane S. Boning
Impact of Spatial Variations on Splitter-Tree-Based Integrated Optical Phased Arrays. OFC (2023)
Chunqiao Li, Chengtao An, Zhengqi Gao, Fan Yang, Yangfeng Su, Xuan Zeng
Unleashing the Power of Graph Spectral Sparsification for Power Grid Analysis via Incomplete Cholesky Factorization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (9) (2023)
Zhengqi Gao, Fa Wang, Jun Tao, Yangfeng Su, Xuan Zeng, Xin Li
Correlated Bayesian Model Fusion: Efficient High-Dimensional Performance Modeling of Analog/RF Integrated Circuits Over Multiple Corners. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (2) (2023)
Zhengqi Gao, Fan-Keng Sun, Duane S. Boning
KirchhoffNet: A Circuit Bridging Message Passing and Continuous-Depth Models. CoRR (2023)
Chih-Yu Lai, Fan-Keng Sun, Zhengqi Gao, Jeffrey H. Lang, Duane S. Boning
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction. NeurIPS (2023)
Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation. ICLR (2023)
Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning
Rare Event Probability Learning by Normalizing Flows. CoRR (2023)
Chih-Yu Lai, Fan-Keng Sun, Zhengqi Gao, Jeffrey H. Lang, Duane S. Boning
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction. CoRR (2023)
Zhengqi Gao, Xiangfeng Chen, Zhengxing Zhang, Chih-Yu Lai, Uttara Chakraborty, Wim Bogaerts, Duane S. Boning
Provable Routing Analysis of Programmable Photonics. CoRR (2023)
Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng, Xin Li
Fast Statistical Analysis of Rare Failure Events With Truncated Normal Distribution in High-Dimensional Variation Space. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CVPR (2022)
Zhengqi Gao, Ron Rohrer
Efficient Non-Monte-Carlo Yield Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion. ECCV (24) (2022)
Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray Chen, Duane S. Boning, David Pan
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. NeurIPS (2022)
Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. CoRR (2022)
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion. CoRR (2022)
Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao
The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation. CoRR (2022)
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CoRR (2022)
Zhengqi Gao, Xiangfeng Chen, Zhengxing Zhang, Uttara Chakraborty, Wim Bogaerts, Duane S. Boning
Automatic Synthesis of Light Processing Functions for Programmable Photonics: Theory and Realization. CoRR (2022)
Zhengqi Gao, Sucheng Ren, Zihui Xue, Siting Li, Hang Zhao
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization. CoRR (2022)
Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi
Variational Quantum Pulse Learning. QCE (2022)
Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao
Co-advise: Cross Inductive Bias Distillation. CVPR (2022)
Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao
Multimodal Knowledge Expansion. CoRR (2021)
Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao
Multimodal Knowledge Expansion. ICCV (2021)
Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao
Co-advise: Cross Inductive Bias Distillation. CoRR (2021)
Zhengqi Gao, Zihao Chen, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng
Bayesian Inference on Introduced General Region: An Efficient Parametric Yield Estimation Method for Integrated Circuits. ASP-DAC (2021)
Jiahe Shi, Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng
Multi-Corner Parametric Yield Estimation via Bayesian Inference on Bernoulli Distribution with Conjugate Prior. ISCAS (2020)
Zhengqi Gao, Jun Tao, Dian Zhou, Xuan Zeng
Efficient Parametric Yield Estimation Over Multiple Process Corners via Bayesian Inference Based on Bernoulli Distribution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng
Projection based Active Gaussian Process Regression for Pareto Front Modeling. CoRR (2020)
Yan Li, Xiaoyoung Zeng, Zhengqi Gao, Liyu Lin, Jun Tao, Jun Han, Xu Cheng, Mehdi B. Tahoori, Xiaoyang Zeng
Exploring a Bayesian Optimization Framework Compatible with Digital Standard Flow for Soft-Error-Tolerant Circuit. DAC (2020)
Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng, Xin Li
Efficient Rare Failure Analysis Over Multiple Corners via Correlated Bayesian Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Zhengqi Gao, Jun Tao, Fan Yang, Yangfeng Su, Dian Zhou, Xuan Zeng
Efficient Performance Trade-off Modeling for Analog Circuit based on Bayesian Neural Network. ICCAD (2019)