Education
Ph.D.; University of New Mexico; Computer Engineering; 2008
2026 Fall Courses
ECE 700B - MASTER'S PROJECT
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 725 - INDEPENDENT STUDY I
ECE 488 - APPL AI ALGORITHMS & SYSTEMS
ECE 701B - MASTER'S THESIS
Past Courses
ECE 690: COMPUTER SYSTEMS ARCHITECTURE
ECE 788: SELECTED TOPICS IN ELECTRICAL AND COMPUTER ENGINEERING
ECE 788: ST: COMPUTATIONAL INTELLIGENCE
Conference Paper
"Predicting and Expanding Research Translation Outcomes in the NSF I-Corps: How Readiness and Intention Drive Translational Research"
United States Association for Small Business and Entrepreneurship Annual Conference, February, 2026.
United States Association for Small Business and Entrepreneurship Annual Conference, February, 2026.
"Advancing Research Translation through Social Capital in the NSF I-Corps"
National Science Foundation National Innovation Network Conference, August, 2025.
National Science Foundation National Innovation Network Conference, August, 2025.
"Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network"
The 39th IEEE International Conference on Data Engineering (ICDE 2023) , April (2nd Quarter/Spring), 2023.
The 39th IEEE International Conference on Data Engineering (ICDE 2023) , April (2nd Quarter/Spring), 2023.
Journal Article
Qing Liu. 2023. "MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring ." SoftwareX.
Qing Liu. 2023. "A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data." IEEE Transactions on Big Data.
Qing Liu. 2023. "Exploring Memory Access Similarity to Improve Irregular Application Performance for Distributed Hybrid Memory Systems." IEEE Transactions on Parallel and Distributed Systems .
Qing Liu. 2022. "zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement." IEEE Transactions on Parallel and Distributed Systems .
Qing Liu. 2022. "Identifying Challenges and Opportunities of In-Memory Computing on Large HPC Systems." Journal of Parallel and Distributed Computing, vol. 164.
Qing Liu. 2022. "Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression." Journal of Network and Computer Applications.
Qing Liu. 2021. "MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction." IEEE Transactions on Computers.
Qing Liu. 2021. "The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science." The International Journal of High Performance Computing Applications.
Qing Liu. 2021. "High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data." IEEE Transactions on Big Data.
Qing Liu. 2020. "ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management." SoftwareX.
Qing Liu. 2020. "Enhancing Proportional IO Sharing on Containerized Big Data File Systems." IEEE Transactions on Computers.
Qing Liu. 2020. "Estimating Lossy Compressibility of Scientific Data Using Deep Neural Networks." IEEE Letters of the Computer Society.
Qing Liu. 2020. "Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds." IEEE/CAA Journal of Automatica Sinica.
Qing Liu. 2019. "An Embedded Feature Selection Method for Imbalanced Data Classification." IEEE/CAA Journal of Automatica Sinica.
Qing Liu. 2019. "Bi-objective Task Scheduling for Distributed Green Data Centers." IEEE Transactions on Automation Science and Engineering.
Qing Liu. 2019. "Can I/O Variability be Reduced on QoS-less HPC Storage Systems?." IEEE Transactions on Computers.
Qing Liu. 2019. "Compression Ratio Modeling and Estimation Across Error Bounds for Lossy Compression." IEEE Transactions on Parallel and Distributed Systems.
Qing Liu. 2019. "Time-Dependent Cloud Workload Prediction via Multi-Task Learning." IEEE Robotics and Automation Letters.
Qing Liu. 2018. "DuoModel: Leveraging Reduced Model for Data Reduction and Re-computation on HPC Storage." IEEE Letters of Computer Society.
Qing Liu. 2018. "Write Energy Reduction for PCM via Pumping Efficiency Improvement." ACM Transactions on Storage.
Conference Abstract
"Revolutionizing the IO Paradigm for Scientific Data Analytics"
ASCR Workshop on the Management and Storage of Scientific Data,, February, 2022.
ASCR Workshop on the Management and Storage of Scientific Data,, February, 2022.
Conference Proceeding
"Region-adaptive and Error-controlled Compression for Scientific Application Data using Multilevel Decomposition"
34th International Conference on Scientific and Statistical Database Management, July (3rd Quarter/Summer), 2022.
34th International Conference on Scientific and Statistical Database Management, July (3rd Quarter/Summer), 2022.
"Compression-Assisted Data Management in Exascale Scientific Workflow"
ASCR Workshop on the Management and Storage of Scientific Data, February, 2022.
ASCR Workshop on the Management and Storage of Scientific Data, February, 2022.
"Storage-system architecture design: A Time based Streaming Data Storage and Management"
ASCR Workshop on the Management and Storage of Scientific Data, February, 2022.
ASCR Workshop on the Management and Storage of Scientific Data, February, 2022.
"Total Variation Reduction for Lossless Compression of HPC Applications"
2021 IEEE 34th International System-on-Chip Conference (SOCC), September, 2021.
2021 IEEE 34th International System-on-Chip Conference (SOCC), September, 2021.
"Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression"
7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7), November, 2021.
7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7), November, 2021.
"Error-controlled, Progressive, and Adaptable Retrieval of Scientific Data with Multilevel Decomposition"
32nd ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, November, 2021.
32nd ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, November, 2021.
"Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning"
15th IEEE International Conference on Networking, Architecture, and Storage , October (4th Quarter/Autumn), 2021.
15th IEEE International Conference on Networking, Architecture, and Storage , October (4th Quarter/Autumn), 2021.
"Accelerating Multigrid-based Hierarchical ScientificData Refactoring on GPUs"
35th IEEE International Parallel and Distributed Processing Symposium, May, 2021.
35th IEEE International Parallel and Distributed Processing Symposium, May, 2021.
"zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement"
35th IEEE International Parallel and Distributed Processing Symposium, May, 2021.
35th IEEE International Parallel and Distributed Processing Symposium, May, 2021.
"A Comprehensive Study of In-Memory Computing on Large HPC Systems"
40th IEEE International Conference on Distributed Computing Systems (ICDCS), December, 2020.
40th IEEE International Conference on Distributed Computing Systems (ICDCS), December, 2020.
"Taming I/O Variation on QoS-less HPC Storage: What Can Applications do?"
31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, November, 2020.
31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, November, 2020.
"Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning"
IEEE International Conference on Networking, Architecture, and Storage, 2019.
IEEE International Conference on Networking, Architecture, and Storage, 2019.
"Identifying Latent Reduced Models to Precondition Lossy Compression"
33rd IEEE International Parallel and Distributed Processing Symposium, 2019.
33rd IEEE International Parallel and Distributed Processing Symposium, 2019.
"Load-aware Elastic Data Reduction and Re-computation for Adaptive Mesh Refinement"
IEEE International Conference on Networking, Architecture, and Storage , 2019.
IEEE International Conference on Networking, Architecture, and Storage , 2019.
"A View from ORNL: Scientific Data Research Opportunities in the Big Data Age"
International Conference on Distributed Computing Systems, 2018.
International Conference on Distributed Computing Systems, 2018.
"Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data"
IEEE International Parallel & Distributed Processing Symposium, 2018.
IEEE International Parallel & Distributed Processing Symposium, 2018.
"Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage"
IEEE International Conference on Cluster Computing (CLUSTER), September, 2017.
IEEE International Conference on Cluster Computing (CLUSTER), September, 2017.
"Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring"
USENIX Hotstorage, July (3rd Quarter/Summer), 2017.
USENIX Hotstorage, July (3rd Quarter/Summer), 2017.
"Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales"
EuroPar'17, August, 2017.
EuroPar'17, August, 2017.
"DFS-Container: Achieving Containerized Block I/O for Distributed File Systems"
ACM SOCC'17, September, 2017.
ACM SOCC'17, September, 2017.
"Exacution: Enhancing Scientific Data Management for Exascale"
IEEE ICDCS, June, 2017.
IEEE ICDCS, June, 2017.
"SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-stacked DRAM as Part of Memory"
IEEE MASCOT, September, 2017.
IEEE MASCOT, September, 2017.
"StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment"
International Conference on Computational Science, June, 2017.
International Conference on Computational Science, June, 2017.
"TGE: Machine Learning Based Task Graph Embedding for Large-scale Topology Mapping"
IEEE International Conference on Cluster Computing (CLUSTER),, September, 2017.
IEEE International Conference on Cluster Computing (CLUSTER),, September, 2017.