Assistant Professor
Wenqian Dong
Dong, Wenqian (董 文倩) pronounced , or Wendy
School of EECS, Oregon State University (from Fall 2024)
Wenqian Dong’s research lies at the intersection of high-performance computing (HPC), machine learning systems (MLSys), and AI for Science (AI4S). She develops efficient, scalable computing systems that accelerate scientific applications and large-scale AI workloads. Her work has appeared in leading venues including SC, HPDC, ASPLOS, ICS, EuroSys, and VLDB. She leads the Parallel Intelligent Computing (PiComp) Lab and co-leads the High-Performance Computing and Systems at Oregon State (HipCastor) Lab.
Before joining Oregon State University, she was an Assistant Professor at Florida International University from 2022 to 2024. She previously held research appointments with the High-Performance Computing Group at Pacific Northwest National Laboratory and the AI Labs at Hewlett Packard Enterprise. Her work at PNNL on AI-accelerated power-grid simulation was featured by DOE Newswise and PNNL.
She earned her Ph.D. in Computer Science from the University of California, Merced in 2022, advised by Prof. Dong Li. Her honors include the 2023 IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High-Performance Computing and the UC Merced Bobcat Fellowship (2018 and 2020). Outside the lab, she enjoys hiking, photography, coffee, and exploring the Pacific Northwest.
Recent News
2022–Present- Our paper "LLM Agents Meet Lossy Compression: Benchmark, Demystify and Optimize across HPC Architectures" was accepted at SC'26.
- We received a DOE ANL subaward. Thanks to DOE and Argonne National Laboratory!
- OSU College of Engineering published a news story, "Wenqian Dong is teaching supercomputers to think differently".
- Our paper "FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving" was selected as a Best Paper Award nominee at ICS'26.
- Our paper "Towards Building Reliable Machine Learning Surrogates for Scientific Applications" was accepted at the IEEE Cloud Summit 2026.
- Our paper "FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving" was accepted at the ACM International Conference on Supercomputing (ICS'26).
- Our paper "LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation" was accepted at IPDPS'26.
- Our paper "Phoenix: Enabling Unstructured Sparse Fine-Tuning and Inference for Foundation Models on Wafer-Scale Engine" was accepted at the SC'25 ExHetAI Workshop.
- NSF OAC has awarded our project "OAC Core: AI-Surrogate Enhanced Heterogeneous Acceleration for Large-Scale Power Grid Simulation" (OAC-2505118). Thanks, NSF!
- I will serve as a TPC member for SC'25.
- Our paper "Framework for tracking metadata, lineage and model provenance in hybrid simulation-AI HPC exascale workflows" was accepted at CUG'25.
- Our paper "HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting" was accepted at the SSS-25 Symposium at AAAI 2025.
- I will serve as Publicity Chair for ICS'25. Please see the call for papers.
- I will serve as a TPC member for IPDPS'25.
- NSF OAC has awarded our project "CyberTraining: Pioneering a CI Workforce for Sustainable and Transdisciplinary Environmental Science Research" (OAC-2417849). Thanks, NSF!
- NSF CNS awarded our proposal for the ICPP 2024 student travel grant (CNS-2422988).
- Our request for resources to advance AI infrastructure has been awarded by the NSF NAIRR Pilot. Thank you to the NSF, DOE, and TACC!
- Our paper "TimeX++: Learning Time-Series Explanations with Information Bottleneck" was accepted at ICML'24.
- NSF funded our proposal "An AI/ML Collaborative for Southeast Florida Coastal Environmental Data and Modeling Center" (IIS-2331908). Thanks, NSF!
- I will serve as a TPC member for the Programming Frameworks area of SC'24 in Atlanta, Georgia.
- I will serve as a TPC member for HPDC'24, the 33rd International Symposium on High-Performance Parallel and Distributed Computing, in Pisa, Italy.
- I was very honored to be selected for the 2023 IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High-Performance Computing (website). The award ceremony will be at SC'23 in Denver. See you there!
- I will serve as a Student Program Co-Chair of the International Conference on Parallel Processing (ICPP'24).
- I was invited to serve as a panelist for a DOE proposal review.
- I will serve as a TPC member for the 2024 SIAM International Conference on Data Mining (SDM'24).
- I will serve as a TPC member for CCGrid'24. See the call for papers.
- MLBench'23 will be held alongside MLSys'23 on June 8, 2023, in Miami. We invite you to attend the workshop and say hello.
- Our paper "Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate Models for HPC Applications" was accepted at HPDC'23.
- I was invited to serve on the TPC for IEEE Cloud'23.
- Our paper "Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning" was accepted at ASPLOS'23.
- I am going to teach CEN 5082: Grid Enablement of Scientific Applications at FIU in the fall semester.
- I was invited to serve on the TPC for the AI4Science Workshop.
- I will join FIU as a tenure-track assistant professor. Feel free to send me your application if you are interested in my research topics.
- I was invited to serve on the TPC for the MLBench'22 Workshop.
Selected Recent Publications
Complete list at PiComp Lab →- [SC'26] Changqing Li, Sheng Di, Kai Zhao, and Wenqian Dong. “LLM Agents Meet Lossy Compression: Benchmark, Demystify and Optimize across HPC Architectures.” ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis, 2026 (acceptance rate: 19.2%).
- [IEEE Cloud Summit'26] Bohan Zhang, Wenqian Dong, and Guanpeng Li. “Towards Building Reliable Machine Learning Surrogates for Scientific Applications.” IEEE Cloud Summit, 2026.
- [ICS'26] Shouwei Gao, Junqi Yin, Feiyi Wang, and Wenqian Dong. “FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving.” ACM International Conference on Supercomputing, 2026 (acceptance rate: 21.4%). Best Paper Award nominee
- [IPDPS'26] Shouwei Gao, Xu Zheng, Dongsheng Luo, Sheng Di, and Wenqian Dong. “LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation.” IEEE International Parallel & Distributed Processing Symposium, 2026.
- [ICML'24] Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, and Dongsheng Luo. “TimeX++: Learning Time-Series Explanations with Information Bottleneck.” International Conference on Machine Learning, 2024 (acceptance rate: 2,609/9,473 = 27.5%).
- [HPDC'23] Wenqian Dong, Gokcen Kestor, and Dong Li. “Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate Models for HPC Applications.” ACM International Symposium on High-Performance Parallel and Distributed Computing, 2023 (acceptance rate: 22/104 = 21.2%).
- [ASPLOS'23] Shuangyan Yang, Minjia Zhang, Wenqian Dong, and Dong Li. “Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning.” ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023 (acceptance rate: 25%).
- [VLDB'21] Jie Liu, Wenqian Dong, Qingqing Zhou, and Dong Li. “Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation.” International Conference on Very Large Data Bases, 2021.
- [ICS'21] Zhen Xie, Wenqian Dong, Jie Liu, Ivy Peng, Yanbao Ma, and Dong Li. “MD-HM: Memoization-based Molecular Dynamics Simulations on Big Memory System.” ACM International Conference on Supercomputing, 2021 (acceptance rate: 24%).
- [EuroSys'21] Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu, and Dong Li. “Tahoe: Tree Structure-Aware High Performance Inference Engine for Decision Tree Ensemble on GPU.” ACM European Conference on Computer Systems, 2021 (acceptance rate: 38/181 = 21.0%).
- [SC'20] Wenqian Dong, Zhen Xie, Gokcen Kestor, and Dong Li. “Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation.” ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis, 2020 (acceptance rate: 22.3%).
- [SC'19] Wenqian Dong, Jie Liu, Zhen Xie, and Dong Li. “Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation.” ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis, 2019 (acceptance rate: 22.6%).
Awards and Funding
- 2026: DOE/Argonne National Laboratory (ANL) subaward
- 2026: ICS Best Paper Award nominee
- 2025: NSF OAC Core, “AI-Surrogate Enhanced Heterogeneous Acceleration for Large-Scale Power Grid Simulation” (Role: Lead PI)
- 2024: NSF CyberTraining, “EcoTern: Pioneering a CI Workforce for Sustainable and Transdisciplinary Environmental Science Research” (Role: Lead PI)
- 2024: NSF NAIRR Pilot, “Build Reliable and Secure AI Surrogates for Large-Scale Scientific Applications with Portability Performance Analysis” (Role: Single PI)
- 2023: NSF ExpandAI, “An AI/ML Collaborative for Southeast Florida Coastal Environmental Data and Modeling Center” (Role: Senior Personnel)
- 2023: IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing
- 2020: Bobcat Fellowship at UC Merced
Teaching
- [OSU] CS 499/579: Topics in Computer Architecture and Parallel Processing: Machine Learning Systems (Fall 2026)
- [OSU] CS 475/575: Introduction to Parallel Programming (Spring 2026, Fall 2026)
- [OSU] CS/ECS 599: Advanced Topics in Deep Learning & High-Performance Computing (Winter 2025, Winter 2026)
- [FIU] COP 4520: Introduction to Parallel Computing (Spring 2023, Spring 2024)
- [FIU] CEN 5082: Parallel Computing System (Spring 2024)
- [FIU] CEN 5082: Grid Enablement of Scientific Applications (Fall 2022)
Service
-
Leadership & Organizing Roles
- Student Program Co-Chair, International Conference on Parallel Processing 2024 (ICPP'24)
- Publicity Chair, ICS'25
- Organizer, MLBench workshops: MLBench'26 (ASPLOS'26); MLBench'25 (ASPLOS'25, co-located with EuroSys'25); and MLBench'23 (MLSys'23)
- Organizer, AI4S'26 workshop (on SC'26)
-
Technical Program Committee (TPC)
- SC'24, SC'25, SC'26
- HPDC'24, HPDC'26
- IPDPS'24 – IPDPS'26
- MLSys'26 and SIAM PP'26
- CCGrid'24, SDM'24, IEEE Cloud'23
- AI4Science'22–'23 and GPGPU'23
- MLBench'22 (MLSys'22)
-
Panel Reviewer
- National Science Foundation (NSF)
- Department of Energy (DOE)
