Zhengqi Gao

49 papers A* 10A 4C 1Misc 1Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
SPIPE: Differentiable SPICE-Level Co-Simulation Program for Integrated Photonics and Electronics.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhengqi Gao, Jiaqi Gu, Luca Daniel, Ron Rohrer, Duane S. Boning
2025 A conf
BOSON
DATE
Pingchuan Ma, Zhengqi Gao, Amir Begovic, Meng Zhang, Haoyu Yang, Haoxing Ren, Z. Rena Huang, Duane S. Boning, Jiaqi Gu
2025 J jnl
EARL: Entropy-Aware RL Alignment of LLMs for Reliable RTL Code Generation.
CoRR
Jiahe Shi, Zhengqi Gao, Ching-Yun Ko, Duane S. Boning
2025 J jnl
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems.
CoRR
Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen
2025 A conf
MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure.
DATE
Pingchuan Ma, Zhengqi Gao, Meng Zhang, Haoyu Yang, Mark Ren, Z. Rena Huang, Duane S. Boning, Jiaqi Gu
2025 J jnl
MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure.
CoRR
Pingchuan Ma, Zhengqi Gao, Meng Zhang, Haoyu Yang, Mark Ren, Z. Rena Huang, Duane S. Boning, Jiaqi Gu
2025 A* conf
REG: Rectified Gradient Guidance for Conditional Diffusion Models.
ICML
Zhengqi Gao, Kaiwen Zha, Tianyuan Zhang, Zihui Xue, Duane S. Boning
2025 J jnl
REG: Rectified Gradient Guidance for Conditional Diffusion Models.
CoRR
Zhengqi Gao, Kaiwen Zha, Tianyuan Zhang, Zihui Xue, Duane S. Boning
2025 J jnl
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning.
CoRR
Kaiwen Zha, Zhengqi Gao, Maohao Shen, Zhang-Wei Hong, Duane S. Boning, Dina Katabi
2025 J jnl
SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training.
CoRR
Pingchuan Ma, Ziang Yin, Qi Jing, Zhengqi Gao, Nicholas Gangi, Boyang Zhang, Tsung-Wei Huang, Zhaoran Rena Huang, Duane S. Boning, Yu Yao, Jiaqi Gu
2024 J jnl
A Generalization Theory of Cross-Modality Distillation with Contrastive Learning.
CoRR
Hangyu Lin, Chen Liu, Chengming Xu, Zhengqi Gao, Yanwei Fu, Yuan Yao
2024 J jnl
BOSON
CoRR
Pingchuan Ma, Zhengqi Gao, Amir Begovic, Meng Zhang, Haoyu Yang, Haoxing Ren, Zhaoran Rena Huang, Duane S. Boning, Jiaqi Gu
2024 A* conf
Improving Neural ODE Training with Temporal Adaptive Batch Normalization.
NeurIPS
Su Zheng, Zhengqi Gao, Fan-Keng Sun, Duane S. Boning, Bei Yu, Martin D. F. Wong
2024 A conf
KirchhoffNet: A Scalable Ultra Fast Analog Neural Network.
ICCAD
Zhengqi Gao, Fan-Keng Sun, Ron Rohrer, Duane S. Boning
2024 A* conf
NOFIS: Normalizing Flow for Rare Circuit Failure Analysis.
DAC
Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning
2024 J jnl
PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation.
CoRR
Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu
2023 J jnl
Circuit Theory of Time Domain Adjoint Sensitivity.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jiahua Li, Danyal Ahsanullah, Zhengqi Gao, Ron Rohrer
2023 J jnl
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.
Zhengqi Gao, Fa Wang, Jun Tao, Yangfeng Su, Xuan Zeng, Xin Li
2023 — conf
Impact of Spatial Variations on Splitter-Tree-Based Integrated Optical Phased Arrays.
OFC
Zhengxing Zhang, Milica Notaros, Zhengqi Gao, Uttara Chakraborty, Jelena Notaros, Duane S. Boning
2023 J jnl
KirchhoffNet: A Circuit Bridging Message Passing and Continuous-Depth Models.
CoRR
Zhengqi Gao, Fan-Keng Sun, Duane S. Boning
2023 A* conf
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction.
NeurIPS
Chih-Yu Lai, Fan-Keng Sun, Zhengqi Gao, Jeffrey H. Lang, Duane S. Boning
2023 J jnl
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction.
CoRR
Chih-Yu Lai, Fan-Keng Sun, Zhengqi Gao, Jeffrey H. Lang, Duane S. Boning
2023 J jnl
Provable Routing Analysis of Programmable Photonics.
CoRR
Zhengqi Gao, Xiangfeng Chen, Zhengxing Zhang, Chih-Yu Lai, Uttara Chakraborty, Wim Bogaerts, Duane S. Boning
2023 J jnl
Rare Event Probability Learning by Normalizing Flows.
CoRR
Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning
2023 A* conf
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation.
ICLR
Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao
2023 J jnl
Unleashing the Power of Graph Spectral Sparsification for Power Grid Analysis via Incomplete Cholesky Factorization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Chunqiao Li, Chengtao An, Zhengqi Gao, Fan Yang, Yangfeng Su, Xuan Zeng
2022 A* conf
A Simple Data Mixing Prior for Improving Self-Supervised Learning.
CVPR
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie
2022 J jnl
A Simple Data Mixing Prior for Improving Self-Supervised Learning.
CoRR
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie
2022 J jnl
Automatic Synthesis of Light Processing Functions for Programmable Photonics: Theory and Realization.
CoRR
Zhengqi Gao, Xiangfeng Chen, Zhengxing Zhang, Uttara Chakraborty, Wim Bogaerts, Duane S. Boning
2022 A* conf
Co-advise: Cross Inductive Bias Distillation.
CVPR
Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao
2022 J jnl
Efficient Non-Monte-Carlo Yield Estimation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhengqi Gao, Ron Rohrer
2022 J jnl
Fast Statistical Analysis of Rare Failure Events With Truncated Normal Distribution in High-Dimensional Variation Space.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng, Xin Li
2022 — conf
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion.
ECCV (24)
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
2022 J jnl
Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion.
CoRR
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
2022 A* conf
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation.
NeurIPS
Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan
2022 J jnl
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation.
CoRR
Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan
2022 J jnl
The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation.
CoRR
Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao
2022 J jnl
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization.
CoRR
Zhengqi Gao, Sucheng Ren, Zihui Xue, Siting Li, Hang Zhao
2022 Misc conf
Variational Quantum Pulse Learning.
QCE
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
2021 — conf
Bayesian Inference on Introduced General Region: An Efficient Parametric Yield Estimation Method for Integrated Circuits.
ASP-DAC
Zhengqi Gao, Zihao Chen, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng
2021 J jnl
Co-advise: Cross Inductive Bias Distillation.
CoRR
Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao
2021 A* conf
Multimodal Knowledge Expansion.
ICCV
Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao
2021 J jnl
Multimodal Knowledge Expansion.
CoRR
Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao
2020 J jnl
Efficient Parametric Yield Estimation Over Multiple Process Corners via Bayesian Inference Based on Bernoulli Distribution.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhengqi Gao, Jun Tao, Dian Zhou, Xuan Zeng
2020 J jnl
Efficient Rare Failure Analysis Over Multiple Corners via Correlated Bayesian Inference.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng, Xin Li
2020 A* conf
Exploring a Bayesian Optimization Framework Compatible with Digital Standard Flow for Soft-Error-Tolerant Circuit.
DAC
Yan Li, Xiaoyoung Zeng, Zhengqi Gao, Liyu Lin, Jun Tao, Jun Han, Xu Cheng, Mehdi B. Tahoori, Xiaoyang Zeng
2020 C conf
Multi-Corner Parametric Yield Estimation via Bayesian Inference on Bernoulli Distribution with Conjugate Prior.
ISCAS
Jiahe Shi, Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng
2020 J jnl
Projection based Active Gaussian Process Regression for Pareto Front Modeling.
CoRR
Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng
2019 A conf
Efficient Performance Trade-off Modeling for Analog Circuit based on Bayesian Neural Network.
ICCAD
Zhengqi Gao, Jun Tao, Fan Yang, Yangfeng Su, Dian Zhou, Xuan Zeng