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ORCIDZhengqi Gao
Person information
- affiliation: Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- affiliation: Fudan University, School of Microelectronicsm, Shanghai, China
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Journal Articles
- 2023
[j7]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): 360-370 (2023)- [j6]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): 2303-2316 (2023) - [j5]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): 3053-3066 (2023) - 2022
- [j4]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): 789-793 (2022) - [j3]Zhengqi Gao, Ron Rohrer:
Efficient Non-Monte-Carlo Yield Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1222-1235 (2022) - 2020
- [j2]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): 2029-2041 (2020) - [j1]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): 3144-3148 (2020)
Conference and Workshop Papers
- 2023
- [c13]Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao:
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation. ICLR 2023 - [c12]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 - [c11]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: 1-3 - 2022
- [c10]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: 14575-14584 - [c9]Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao:
Co-advise: Cross Inductive Bias Distillation. CVPR 2022: 16752-16761 - [c8]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: 407-422 - [c7]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. NeurIPS 2022 - [c6]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: 556-565 - 2021
- [c5]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: 892-897 - [c4]Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao:
Multimodal Knowledge Expansion. ICCV 2021: 834-843 - 2020
- [c3]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: 1-6 - [c2]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: 1-4 - 2019
- [c1]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: 1-8
Informal and Other Publications
- 2024
- [i14]Hangyu Lin, Chen Liu, Chengming Xu, Zhengqi Gao, Yanwei Fu, Yuan Yao:
A Generalization Theory of Cross-Modality Distillation with Contrastive Learning. CoRR abs/2405.03355 (2024) - 2023
- [i13]Zhengqi Gao, Xiangfeng Chen, Zhengxing Zhang, Chih-Yu Lai, Uttara Chakraborty, Wim Bogaerts, Duane S. Boning:
Provable Routing Analysis of Programmable Photonics. CoRR abs/2306.12607 (2023) - [i12]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 abs/2310.15416 (2023) - [i11]Zhengqi Gao, Fan-Keng Sun, Duane S. Boning:
KirchhoffNet: A Circuit Bridging Message Passing and Continuous-Depth Models. CoRR abs/2310.15872 (2023) - [i10]Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning:
Rare Event Probability Learning by Normalizing Flows. CoRR abs/2310.19167 (2023) - 2022
- [i9]Zhengqi Gao, Sucheng Ren, Zihui Xue, Siting Li, Hang Zhao:
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization. CoRR abs/2204.02485 (2022) - [i8]Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao:
The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation. CoRR abs/2206.06487 (2022) - [i7]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 abs/2206.07692 (2022) - [i6]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 abs/2207.11327 (2022) - [i5]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 abs/2208.14453 (2022) - [i4]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 abs/2209.10098 (2022) - 2021
- [i3]Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao:
Multimodal Knowledge Expansion. CoRR abs/2103.14431 (2021) - [i2]Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao:
Co-advise: Cross Inductive Bias Distillation. CoRR abs/2106.12378 (2021) - 2020
- [i1]Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng:
Projection based Active Gaussian Process Regression for Pareto Front Modeling. CoRR abs/2001.07072 (2020)
Coauthor Index
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