Wei W. Xing

CoRR, 2024

LVF2: A Statistical Timing Model based on Gaussian Mixture for Yield Estimation and Speed Binning.

[BibT_eX]

[DOI]

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

Every Failure Is A Lesson: Utilizing All Failure Samples To Deliver Tuning-Free Efficient Yield Evaluation.

[BibT_eX]

[DOI]

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

KATO: Knowledge Alignment And Transfer for Transistor Sizing Of Different Design and Technology.

[BibT_eX]

[DOI]

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

MAUnet: Multiscale Attention U-Net for Effective IR Drop Prediction.

[BibT_eX]

[DOI]

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

Unleashing the Potential of AQFP Logic Placement via Entanglement Entropy and Projection.

[BibT_eX]

[DOI]

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

BoCNT: A Bayesian Optimization Framework for Global CNT Interconnect Optimization.

[BibT_eX]

[DOI]

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

CIS: Conditional Importance Sampling for Yield Optimization of Analog and SRAM Circuits.

[BibT_eX]

[DOI]

Yanfang Liu

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels.

[BibT_eX]

[DOI]

Da Long

Aditi S. Krishnapriyan

Michael W. Mahoney

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Multi-Resolution Active Learning of Fourier Neural Operators.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

BoA-PTA: A Bayesian Optimization Accelerated PTA Solver for SPICE Simulation.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., March, 2023

Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning.

[BibT_eX]

[DOI]

Yuwen Deng

Wang Kang

CoRR, 2023

OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold.

[BibT_eX]

[DOI]

Yanfang Liu

Guohao Dai

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

High-Dimensional Yield Estimation Using Shrinkage Deep Features and Maximization of Integral Entropy Reduction.

[BibT_eX]

[DOI]

Shuo Yin

Guohao Dai

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

New Paradigms in Flow Battery Modelling

[BibT_eX]

[DOI]

16, Springer, ISBN: 978-981-99-2523-0, 2023

2022

Mission Replanning for Multiple Agile Earth Observation Satellites Based on Cloud Coverage Forecasting.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

GAR: Generalized Autoregression for Multi-Fidelity Fusion.

[BibT_eX]

[DOI]

Yuxin Wang

Zheng Xing

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

E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Efficient bayesian yield analysis and optimization with active learning.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Accelerating nonlinear DC circuit simulation with reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Physics Informed Deep Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Deep coregionalization for the emulation of simulation-based spatial-temporal fields.

[BibT_eX]

[DOI]

J. Comput. Phys., 2021

BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver.

[BibT_eX]

[DOI]

CoRR, 2021

Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Fidelity High-Order Gaussian Processes for Physical Simulation.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Physics Regularized Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2020

Scalable Variational Gaussian Process Regression Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Fidelity Bayesian Optimization via Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Gaussian Process Regression Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Coregionalization for the Emulation of Spatial-Temporal Fields.

[BibT_eX]

[DOI]

CoRR, 2019

Data-Driven Model Order Reduction for Diffeomorphic Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Scalable High-Order Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Prediction of impurities in hydrogen fuel supplies using a thermally-modulated CMOS gas sensor: Experiments and modelling.

[BibT_eX]

[DOI]

Akeel A. Shah

Barbara Urasinska-Wojcik

Julian W. Gardner

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

2016

Manifold learning for the emulation of spatial fields from computational models.

[BibT_eX]

[DOI]