Exploiting stack distance to estimate worst-case data cache performance. - Yu Liu 037; Wei Zhang 002 (SAC, 2009)

Bounding Worst-Case Data Cache Performance by Using Stack Distance. - Yu Liu 037; Wei Zhang 002 (J. Comput. Sci. Eng., 2009)

Static Worst-Case Energy and Lifetime Estimation of Wireless Sensor Networks. - Yu Liu 037; Wei Zhang 002; Kemal Akkaya (J. Comput. Sci. Eng., 2010)

Static Worst-Case Lifetime Estimation of Vigil Net. - Yu Liu 037; Wei Zhang 002 (GreenCom, 2011)

Exploiting time predictable two-level scratchpad memory for real-time systems. - Yu Liu 037; Wei Zhang 002 (SAC, 2011)

Stack distance based worst-case instruction cache performance analysis. - Yu Liu 037; Wei Zhang 002 (SAC, 2011)

Exploiting SPM-aware Scheduling on EPIC architectures for high-performance real-time systems. - Yu Liu 037; Wei Zhang 002 (HPEC, 2012)

Exploiting multi-level scratchpad memories for time-predictable multicore computing. - Yu Liu 037; Wei Zhang 002 (ICCD, 2012)

Static worst-case lifetime estimation of wireless sensor networks: A case study on VigilNet. - Yu Liu 037; Wei Zhang 002 (J. Syst. Archit., 2013)

Two-Level Scratchpad Memory Architectures to Achieve Time Predictability and High Performance. - Yu Liu 037; Wei Zhang 002 (J. Comput. Sci. Eng., 2014)

Scratchpad Memory Architectures and Allocation Algorithms for Hard Real-Time Multicore Processors. - Yu Liu 037; Wei Zhang 002 (J. Comput. Sci. Eng., 2015)

COMBS: First Open-Source Based Benchmark Suite for Multi-physics Simulation Relevant HPC Research. - Anthony Dowling; Frank Swiatowicz; Yu Liu 037; Alexander John Tolnai; Fabian Herbert Engel (ICA3PP (1), 2020)

Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms. - Golshan Madraki; Isabella Grasso; Jacqueline M. Otala; Yu Liu 037; Jeanna N. Matthews (WWW (Companion Volume), 2021)

Political Polarization and Platform Migration: : A Study of Parler and Twitter Usage by United States of America Congress Members. - Jacqueline M. Otala; Gillian Kurtic; Isabella Grasso; Yu Liu 037; Jeanna N. Matthews; Golshan Madraki (WWW (Companion Volume), 2021)

Exploring an Efficient Approach for Architecture-Level Thermal Simulation of Multi-core CPUs. - Lin Jiang; Anthony Dowling; Yu Liu 037; Ming-Cheng Cheng (ISCAS, 2022)

An effective physics simulation methodology based on a data-driven learning algorithm. - Lin Jiang; Martin Veresko; Yu Liu 037; Ming-Cheng Cheng (PASC, 2022)

The 2023 DREE Workshop on Designing and Running Project-Based Courses in Software Engineering Education. - Daqing Hou; Jan E. DeWaters; Mary Margaret Small; Yu Liu 037; David Shepherd (FIE, 2023)

The Importance of Project-Scale Scaffolding for Retention and Experience in Computing Courses. - Juliana Gonçalves de Souza; Mikaila Flavell; Ahmad Daudu Suleiman; David Shepherd; Jan E. DeWaters; Mary Margaret Small; Yu Liu 037; Daqing Hou (FIE, 2023)

Mapping Learning Objectives of Project-Based Undergraduate Software Engineering Courses to CC2020 Competency Model. - Ahmad Daudu Suleiman; Daqing Hou; Yu Liu 037; Jan E. DeWaters; Mary Margaret Small; Juliana Gonçalves de Souza; David Shepherd (FIE, 2023)

Regulating CPU Temperature With Thermal-Aware Scheduling Using a Reduced Order Learning Thermal Model. - Anthony Dowling; Lin Jiang; Ming-Cheng Cheng; Yu Liu 037 (CoRR, 2023)

Fast-Accurate Full-Chip Dynamic Thermal Simulation With Fine Resolution Enabled by a Learning Method. - Lin Jiang; Yu Liu 037; Ming-C. Cheng (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

TDF: A compact file format plugin for FEniCS. - Anthony Dowling; Lin Jiang; Ming-Cheng Cheng; Yu Liu 037 (SoftwareX, 2023)

PODTherm-GP: A Physics-Based Data-Driven Approach for Effective Architecture-Level Thermal Simulation of Multi-Core CPUs. - Lin Jiang; Anthony Dowling; Ming-C. Cheng; Yu Liu 037 (IEEE Trans. Computers, 2023)

An Exploratory Comparative Study on the Impacts of Technical Support on Student Successes in Computing Project-Based Learning. - Ahmad Daudu Suleiman; Jan E. DeWaters; Daqing Hou; Yu Liu 037; David Shepherd (FIE, 2024)

Providing Technical Support to Sustain Student Motivation and Engagement in Software Engineering Project-Based Learning. - Ahmad Daudu Suleiman; David Shepherd; Jan E. DeWaters; Yu Liu 037; Daqing Hou (FIE, 2024)

Dynamic Thermal-Aware Scheduling Using Physics-Informed POD-Galerkin Thermal Simulation Model for Multi-Core Processors : Invited Paper. - Anthony Dowling; Ming-Cheng Cheng; Yu Liu 037 (IGSC, 2024)

Predicting Accurate Hot Spots in a More Than Ten-Thousand-Core GPU with a Million-Time Speedup over FEM Enabled by a Physics-based Learning Algorithm. - Lin Jian; Yu Liu 037; Ming-Cheng Cheng (CoRR, 2024)

Improving TAS Adaptability with a Variable Temperature Threshold. - Anthony Dowling; Ming-Cheng Cheng; Yu Liu 037 (CoRR, 2024)

PyPOD-GP: Using PyTorch for Accelerated Chip-Level Thermal Simulation of the GPU. - Neil He; Ming-Cheng Cheng; Yu Liu 037 (CoRR, 2024)

Ensemble learning model for effective thermal simulation of multi-core CPUs. - Lin Jiang; Anthony Dowling; Yu Liu 037; Ming-C. Cheng (Integr., 2024)

Regulating CPU temperature with thermal-aware scheduling using a reduced order learning thermal model. - Anthony Dowling; Lin Jiang; Ming-C. Cheng; Yu Liu 037 (Future Gener. Comput. Syst., 2025)

Physics-Aware POD-Based Learning for Ab initio QEM-Galerkin Simulations of Periodic Nanostructures. - Martin Veresko; Yu Liu 037; Daqing Hou; Ming-Cheng Cheng (CoRR, 2025)