Wei W. Xing

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Active Learning

Graceful Degradation

Dynamical Models

Nonparametric Bayesian

Top Venues

Publications

Wei W. Xing, Longze Wang, Zhelong Wang, Zhaoyu Shi, Ning Xu, Yuanqing Cheng, Weisheng Zhao
Multicorner Timing Analysis Acceleration for Iterative Physical Design of ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (7) (2024)
Shibo Li, Xin Yu, Wei W. Xing, Robert M. Kirby, Akil Narayan, Shandian Zhe
Multi-Resolution Active Learning of Fourier Neural Operators. AISTATS (2024)
Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. AISTATS (2024)
Yanfang Liu, Wei W. Xing
CIS: Conditional Importance Sampling for Yield Optimization of Analog and SRAM Circuits. ASPDAC (2024)
Hang Wu, Ning Xu, Wei W. Xing, Yuanqing Cheng
BoCNT: A Bayesian Optimization Framework for Global CNT Interconnect Optimization. ASPDAC (2024)
Wei W. Xing, Weijian Fan, Zhuohua Liu, Yuan Yao, Yuanqi Hu
KATO: Knowledge Alignment and Transfer for Transistor Sizing of Different Design and Technology. CoRR (2024)
Tianshuo Bai, Wanru Mao, Guangyao Wang, Hanjie Liu, Aifei Zhang, Shihang Fu, Shuaikai Liu, Jianchao Hu, Xitong Yang, Biao Pan, Wei W. Xing, Wang Kang
An End-to-End In-Memory Computing System Based on a 40-nm eFlash-Based IMC SoC: Circuits, Toolchains, and Systems Co-Design Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Yanfang Liu, Lei He, Wei W. Xing
Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis. CoRR (2024)
Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. CoRR (2023)
Yanfang Liu, Guohao Dai, Wei W. Xing
Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. DAC (2023)
Wei W. Xing, Zheng Xing, Rongqi Lu, Zhelong Wang, Ning Xu, Yuanqing Cheng, Weisheng Zhao
TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning. DAC (2023)
Wei W. Xing, Xiang Jin, Tian Feng, Dan Niu, Weishen Zhao, Zhou Jin
BoA-PTA: A Bayesian Optimization Accelerated PTA Solver for SPICE Simulation. ACM Trans. Design Autom. Electr. Syst. 28 (2) (2023)
Yuxin Wang, Zheng Xing, Wei W. Xing
GAR: Generalized Autoregression for Multi-Fidelity Fusion. CoRR (2023)
Shibo Li, Xin Yu, Wei W. Xing, Mike Kirby, Akil Narayan, Shandian Zhe
Multi-Resolution Active Learning of Fourier Neural Operators. CoRR (2023)
Shuo Yin, Guohao Dai, Wei W. Xing
High-Dimensional Yield Estimation Using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. ASP-DAC (2023)
Yuwen Deng, Wang Kang, Wei W. Xing
Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning. CoRR (2023)
Yanfang Liu, Guohao Dai, Yuanqing Cheng, Wang Kang, Wei W. Xing
OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits. ICCAD (2023)
Yanfang Liu, Guohao Dai, Wei W. Xing
Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. CoRR (2023)
Ziyang Zhang, Akeel A. Shah, Wei W. Xing
Battery Degradation Long-term Forecast Using Gaussian Process Dynamical Models and Knowledge Transfer. CoRR (2022)
Yi Gu, Chao Han, Yuhan Chen, Wei W. Xing
Mission Replanning for Multiple Agile Earth Observation Satellites Based on Cloud Coverage Forecasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Shuo Yin, Xiang Jin, Linxu Shi, Kang Wang, Wei W. Xing
Efficient bayesian yield analysis and optimization with active learning. DAC (2022)
Zhou Jin, Haojie Pei, Yichao Dong, Xiang Jin, Xiao Wu, Wei W. Xing, Dan Niu
Accelerating nonlinear DC circuit simulation with reinforcement learning. DAC (2022)
Shihong Wang, Xueying Zhang, Yichen Meng, Wei W. Xing
E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction. IJCNN (2022)
Shuo Yin, Guohao Dai, Wei W. Xing
High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. CoRR (2022)
Yuxin Wang, Zheng Xing, Wei W. Xing
GAR: Generalized Autoregression for Multi-Fidelity Fusion. NeurIPS (2022)
Wei W. Xing, Akeel A. Shah, Peng Wang, Shandian Zhe, Qian Fu, Robert M. Kirby
Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations. CoRR (2021)
Wei W. Xing, Robert M. Kirby, Shandian Zhe
Deep coregionalization for the emulation of simulation-based spatial-temporal fields. J. Comput. Phys. 428 (2021)
Wei W. Xing, Xiang Jin, Yi Liu, Dan Niu, Weishen Zhao, Zhou Jin
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver. CoRR (2021)
Wei W. Xing, Akeel A. Shah, Barbara Urasinska-Wojcik, Julian W. Gardner
Prediction of impurities in hydrogen fuel supplies using a thermally-modulated CMOS gas sensor: Experiments and modelling. IEEE SENSORS (2017)
Wei W. Xing, Vasileios Triantafyllidis, Akeel A. Shah, P. B. Nair, Nicholas Zabaras
Manifold learning for the emulation of spatial fields from computational models. J. Comput. Phys. 326 (2016)