Efficient Performance Trade-off Modeling for Analog Circuit based on Bayesian Neural Network. - Zhengqi Gao; Jun Tao 001; Fan Yang 001; Yangfeng Su; Dian Zhou; Xuan Zeng 001 (ICCAD, 2019)

Exploring a Bayesian Optimization Framework Compatible with Digital Standard Flow for Soft-Error-Tolerant Circuit. - Yan Li 084; Xiaoyoung Zeng; Zhengqi Gao; Liyu Lin; Jun Tao 001; Jun Han 003; Xu Cheng 002; Mehdi B. Tahoori; Xiaoyang Zeng (DAC, 2020)

Multi-Corner Parametric Yield Estimation via Bayesian Inference on Bernoulli Distribution with Conjugate Prior. - Jiahe Shi; Zhengqi Gao; Jun Tao 001; Yangfeng Su; Dian Zhou; Xuan Zeng 001 (ISCAS, 2020)

Projection based Active Gaussian Process Regression for Pareto Front Modeling. - Zhengqi Gao; Jun Tao 001; Yangfeng Su; Dian Zhou; Xuan Zeng 001 (CoRR, 2020)

Efficient Rare Failure Analysis Over Multiple Corners via Correlated Bayesian Inference. - Zhengqi Gao; Jun Tao 001; Yangfeng Su; Dian Zhou; Xuan Zeng 001; Xin Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Efficient Parametric Yield Estimation Over Multiple Process Corners via Bayesian Inference Based on Bernoulli Distribution. - Zhengqi Gao; Jun Tao 001; Dian Zhou; Xuan Zeng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Bayesian Inference on Introduced General Region: An Efficient Parametric Yield Estimation Method for Integrated Circuits. - Zhengqi Gao; Zihao Chen; Jun Tao 001; Yangfeng Su; Dian Zhou; Xuan Zeng 001 (ASP-DAC, 2021)

Multimodal Knowledge Expansion. - Zihui Xue; Sucheng Ren; Zhengqi Gao; Hang Zhao (ICCV, 2021)

Co-advise: Cross Inductive Bias Distillation. - Sucheng Ren; Zhengqi Gao; Tianyu Hua; Zihui Xue; Yonglong Tian; Shengfeng He; Hang Zhao (CVPR, 2022)

A Simple Data Mixing Prior for Improving Self-Supervised Learning. - Sucheng Ren; Huiyu Wang; Zhengqi Gao; Shengfeng He; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR, 2022)

Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion. - Zhengqi Gao; Fan-Keng Sun; Mingran Yang; Sucheng Ren; Zikai Xiong; Marc Engeler; Antonio Burazer; Linda Wildling; Luca Daniel; Duane S. Boning (ECCV (24), 2022)

NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. - Jiaqi Gu 002; Zhengqi Gao; Chenghao Feng; Hanqing Zhu; Ray T. Chen; Duane S. Boning; David Z. Pan (NeurIPS, 2022)

Variational Quantum Pulse Learning. - Zhiding Liang; Hanrui Wang 002; Jinglei Cheng; Yongshan Ding 001; Hang Ren; Zhengqi Gao; Zhirui Hu; Duane S. Boning; Xuehai Qian; Song Han 003; Weiwen Jiang; Yiyu Shi 001 (QCE, 2022)

Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization. - Zhengqi Gao; Sucheng Ren; Zihui Xue; Siting Li; Hang Zhao (CoRR, 2022)

The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation. - Zihui Xue; Zhengqi Gao; Sucheng Ren; Hang Zhao (CoRR, 2022)

Automatic Synthesis of Light Processing Functions for Programmable Photonics: Theory and Realization. - Zhengqi Gao; Xiangfeng Chen; Zhengxing Zhang; Uttara Chakraborty; Wim Bogaerts; Duane S. Boning (CoRR, 2022)

Efficient Non-Monte-Carlo Yield Estimation. - Zhengqi Gao; Ron Rohrer (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Fast Statistical Analysis of Rare Failure Events With Truncated Normal Distribution in High-Dimensional Variation Space. - Zhengqi Gao; Jun Tao 001; Yangfeng Su; Dian Zhou; Xuan Zeng 001; Xin Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation. - Zihui Xue; Zhengqi Gao; Sucheng Ren; Hang Zhao (ICLR, 2023)

Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction. - Chih-Yu Lai; Fan-Keng Sun; Zhengqi Gao; Jeffrey H. Lang; Duane S. Boning (NeurIPS, 2023)

Impact of Spatial Variations on Splitter-Tree-Based Integrated Optical Phased Arrays. - Zhengxing Zhang; Milica Notaros; Zhengqi Gao; Uttara Chakraborty; Jelena Notaros; Duane S. Boning (OFC, 2023)

Provable Routing Analysis of Programmable Photonics. - Zhengqi Gao; Xiangfeng Chen; Zhengxing Zhang; Chih-Yu Lai; Uttara Chakraborty; Wim Bogaerts; Duane S. Boning (CoRR, 2023)

KirchhoffNet: A Circuit Bridging Message Passing and Continuous-Depth Models. - Zhengqi Gao; Fan-Keng Sun; Duane S. Boning (CoRR, 2023)

Rare Event Probability Learning by Normalizing Flows. - Zhengqi Gao; Dinghuai Zhang; Luca Daniel; Duane S. Boning (CoRR, 2023)

Correlated Bayesian Model Fusion: Efficient High-Dimensional Performance Modeling of Analog/RF Integrated Circuits Over Multiple Corners. - Zhengqi Gao; Fa Wang; Jun Tao 001; Yangfeng Su; Xuan Zeng 001; Xin Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Circuit Theory of Time Domain Adjoint Sensitivity. - Jiahua Li; Danyal Ahsanullah; Zhengqi Gao; Ron Rohrer (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Unleashing the Power of Graph Spectral Sparsification for Power Grid Analysis via Incomplete Cholesky Factorization. - Chunqiao Li; Chengtao An; Zhengqi Gao; Fan Yang 001; Yangfeng Su; Xuan Zeng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

NOFIS: Normalizing Flow for Rare Circuit Failure Analysis. - Zhengqi Gao; Dinghuai Zhang; Luca Daniel; Duane S. Boning (DAC, 2024)

KirchhoffNet: A Scalable Ultra Fast Analog Neural Network. - Zhengqi Gao; Fan-Keng Sun; Ron Rohrer; Duane S. Boning (ICCAD, 2024)

Improving Neural ODE Training with Temporal Adaptive Batch Normalization. - Su Zheng; Zhengqi Gao; Fan-Keng Sun; Duane S. Boning; Bei Yu 001; Martin D. F. Wong (NeurIPS, 2024)

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning. - Hangyu Lin; Chen Liu 030; Chengming Xu 001; Zhengqi Gao; Yanwei Fu 001; Yuan Yao 011 (CoRR, 2024)

PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation. - Pingchuan Ma 012; Haoyu Yang; Zhengqi Gao; Duane S. Boning; Jiaqi Gu 002 (CoRR, 2024)

BOSON-1: Understanding and Enabling Physically-Robust Photonic Inverse Design with Adaptive Variation-Aware Subspace Optimization. - Pingchuan Ma 012; Zhengqi Gao; Amir Begovic; Meng Zhang 023; Haoyu Yang; Haoxing Ren; Z. Rena Huang; Duane S. Boning; Jiaqi Gu 002 (DATE, 2025)

MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure. - Pingchuan Ma 012; Zhengqi Gao; Meng Zhang 023; Haoyu Yang; Mark Ren; Z. Rena Huang; Duane S. Boning; Jiaqi Gu 002 (DATE, 2025)

REG: Rectified Gradient Guidance for Conditional Diffusion Models. - Zhengqi Gao; Kaiwen Zha; Tianyuan Zhang; Zihui Xue; Duane S. Boning (CoRR, 2025)

RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning. - Kaiwen Zha; Zhengqi Gao; Maohao Shen; Zhang-Wei Hong; Duane S. Boning; Dina Katabi (CoRR, 2025)

SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training. - Pingchuan Ma 012; Ziang Yin; Qi Jing; Zhengqi Gao; Nicholas Gangi; Boyang Zhang; Tsung-Wei Huang; Zhaoran Rena Huang; Duane S. Boning; Yu Yao; Jiaqi Gu 002 (CoRR, 2025)