Efficient statistical validation of machine learning systems for autonomous driving. - Weijing Shi; Mohamed Baker Alawieh; Xin Li 001; Huafeng Yu; Nikos Aréchiga; Nobuyuki Tomatsu (ICCAD, 2016)

Identifying systematic spatial failure patterns through wafer clustering. - Mohamed Baker Alawieh; Fa Wang; Xin Li 001 (ISCAS, 2016)

Efficient analog circuit optimization using sparse regression and error margining. - Mohamed Baker Alawieh; Fa Wang; Rouwaida Kanj; Xin Li 001; Rajiv V. Joshi (ISQED, 2016)

Efficient Hierarchical Performance Modeling for Integrated Circuits via Bayesian Co-Learning. - Mohamad Baker Alawieh; Fa Wang; Xin Li 001 (DAC, 2017)

Efficient programming of reconfigurable radio frequency (RF) systems. - Mohamed Baker Alawieh; Fa Wang; Jun Tao 001; Shihui Yin; Minhee Jun; Xin Li 001; Tamal Mukherjee; Rohit Negi (ICCAD, 2017)

Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey. - Weijing Shi; Mohamed Baker Alawieh; Xin Li 001; Huafeng Yu (Integr., 2017)

Machine Learning for Yield Learning and Optimization. - Yibo Lin; Mohamed Baker Alawieh; Wei Ye 008; David Z. Pan (ITC, 2018)

Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems. - Minhee Jun; Rohit Negi; Shihui Yin; Mohamed Baker Alawieh; Fa Wang; Megha Sunny; Tamal Mukherjee; Xin Li 001 (EURASIP J. Wirel. Commun. Netw., 2018)

Identifying Wafer-Level Systematic Failure Patterns via Unsupervised Learning. - Mohamed Baker Alawieh; Fa Wang; Xin Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning. - Mohamed Baker Alawieh; Fa Wang; Xin Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

S2-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits. - Mohamed Baker Alawieh; Xiyuan Tang; David Z. Pan (ASP-DAC, 2019)

Tackling signal electromigration with learning-based detection and multistage mitigation. - Wei Ye 008; Mohamed Baker Alawieh; Yibo Lin; David Z. Pan (ASP-DAC, 2019)

GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks. - Mohamed Baker Alawieh; Yibo Lin; Zaiwei Zhang; Meng Li 004; Qixing Huang; David Z. Pan (DAC, 2019)

Rethinking Sparsity in Performance Modeling for Analog and Mixed Circuits using Spike and Slab Models. - Mohamed Baker Alawieh; Sinead A. Williamson; David Z. Pan (DAC, 2019)

LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks. - Wei Ye 008; Mohamed Baker Alawieh; Yibo Lin; David Z. Pan (DAC, 2019)

Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection. - Wei Ye 008; Mohamed Baker Alawieh; Meng Li 004; Yibo Lin; David Z. Pan (DATE, 2019)

High-Definition Routing Congestion Prediction for Large-Scale FPGAs. - Mohamed Baker Alawieh; Wuxi Li; Yibo Lin; Love Singhal; Mahesh A. Iyer; David Z. Pan (ASP-DAC, 2020)

Wafer Map Defect Patterns Classification using Deep Selective Learning. - Mohamed Baker Alawieh; Duane S. Boning; David Z. Pan (DAC, 2020)

Re-examining VLSI Manufacturing and Yield through the Lens of Deep Learning : (Invited Talk). - Mohamed Baker Alawieh; Wei Ye 008; David Z. Pan (ICCAD, 2020)

TEMPO: Fast Mask Topography Effect Modeling with Deep Learning. - Wei Ye 008; Mohamed Baker Alawieh; Yuki Watanabe; Shigeki Nojima; Yibo Lin; David Z. Pan (ISPD, 2020)

Powernet: SOI Lateral Power Device Breakdown Prediction With Deep Neural Networks. - Jing Chen 032; Mohamed Baker Alawieh; Yibo Lin; Maolin Zhang; Jun Zhang 057; Yufeng Guo; David Z. Pan (IEEE Access, 2020)

ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection. - Mohamed Baker Alawieh; David Z. Pan (MLCAD, 2021)

GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks. - Mohamed Baker Alawieh; Yibo Lin; Zaiwei Zhang; Meng Li 004; Qixing Huang; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. - Rachel Selina Rajarathnam; Mohamed Baker Alawieh; Zixuan Jiang; Mahesh A. Iyer; David Z. Pan (ASP-DAC, 2022)