Ryan Liu

14 papers Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures.
CoRR
Ryan Liu, Eric Qu, Tobias Kreiman, Samuel M. Blau, Aditi S. Krishnapriyan
2025 — conf
Beyond the Classroom: Bridging the Gap between Academia and Industry with a Hands-on Learning Approach.
CSEE&T
Mingyang Xu, Ryan Liu, Mark Stoodley, Ladan Tahvildari
2024 — conf
CloudSheep System for WMT24 Discourse-Level Literary Translation.
WMT
Lisa Liu, Ryan Liu, Angela Tsai, Jingbo Shang
2024 — conf
Viability of Applying Large Language Models to Indoor Climate Sensor and Health Data for Scientific Discovery.
GHTC
Aidan Chen, Jonathan Du, Aaron Rodriguez, Ryan Rodriguez, Jack Higgins, Robin Podmore, Ryan Liu, Emin Ilao, Sam Degilla, James Bibiano, Candice Chan, Annalicia Pickering, Mary Showstark, Jarone Lee, Milton Chen
2023 — conf
An Educational Course on Self-Adaptive Systems using IBM Technologies.
CASCON
Mingyang Xu, Ryan Liu, Ladan Tahvildari, Mark Stoodley
2023 J jnl
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation.
CoRR
Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
2023 J jnl
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder.
CoRR
Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
2023 J jnl
Hierarchical Graph Neural Networks for Particle Track Reconstruction.
CoRR
Ryan Liu, Paolo Calafiura, Steven Farrell, Xiangyang Ju, Daniel Thomas Murnane, Tuan Minh Pham
2023 — conf
Towards an Uncertainty-aware Decision Engine for Proactive Self-Protecting Software.
ACSOS-C
Ryan Liu
2023 J jnl
Using POMDP-based Approach to Address Uncertainty-Aware Adaptation for Self-Protecting Software.
CoRR
Ryan Liu, Ladan Tahvildari
2021 — conf
AHA: Adaptive Hadoop in Ad-hoc Cloud Environments.
ACSOS
Ryan Liu, Shizhe Lin, Ladan Tahvildari
2021 — conf
AI Compute Chip from Enflame.
HCS
Ryan Liu, Chuang Feng
2021 J jnl
Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos.
CoRR
Spencer He, Ryan Liu
2021 J jnl
Proposing a System Level Machine Learning Hybrid Architecture and Approach for a Comprehensive Autism Spectrum Disorder Diagnosis.
CoRR
Ryan Liu, Spencer He