Assistant Professor

Wenqian Dong

School of EECS, Oregon State University (starting from Fall 2024)

She is the principal investigator of the Parallel Intelligent Computing (PiComp) Lab and a co-leader of the High-Performance Computing and Systems at Oregon State (HipCastor) Lab with three other OSU faculties. Her research interests include high-performance computing (HPC), scientific machine learning, automatic performance tuning, and system-level optimization for large-scale ML models.

Her work has been published in multiple top-tier conferences, including SC, HPDC, ASPLOS, ICS, EuroSys, VLDB, etc. Also, she is the recipient of the IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High-Performance Computing (2023) and the Bobcat Fellowship at UC Merced (2020 and 2018). She earned her Ph.D. from the University of California, Merced, under the supervision of Prof. Dong Li. She worked as a research intern in the High-Performance Computing Group at Pacific Northwest National Laboratory (PNNL), and AI Labs at Hewlett Packard Enterprise (HPE). Her work at PNNL was highlighted at DOE News wise and PNNL website.

Email Google Scholar OSU faculty profile PiComp Lab HipCastor Lab

News Archive

07/2026Our paper "LLM Agents Meet Lossy Compression: Benchmark, Demystify and Optimize across HPC Architectures" is accepted in SC'26.
07/2026We received a DOE ANL subaward. Thanks to DOE and Argonne National Laboratory!
06/2026OSU College of Engineering published a news story, "Wenqian Dong is teaching supercomputers to think differently".
05/2026Our paper "FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving" is selected as a Best Paper Award nominee for ICS 2026.
04/2026A paper "Towards Building Reliable Machine Learning Surrogates for Scientific Applications" is accepted in IEEE Cloud Summit 2026.
02/2026A paper "FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving" is accepted in ACM International Conference on Supercomputing (ICS'26).
12/2025A paper "LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation" is accepted in IPDPS'26.
09/2025A paper "Phoenix: Enabling Unstructured Sparse Fine-Tuning and Inference for Foundation Models on Wafer-Scale Engine" is accepted in SC'25 ExHetAI workshop.
04/2025NSF OAC has awarded our project "OAC Core: AI-Surrogate Enhanced Heterogeneous Acceleration for Large-Scale Power Grid Simulation (OAC:2505118)". Thanks, NSF!
04/2025I will serve as a TPC member of the SC'25.
02/2025A paper "Framework for tracking metadata, lineage and model provenance in hybrid simulation-AI HPC exascale workflows" is accepted in CUG'25.
02/2025A paper "HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting" is accepted to the SSS-25 symposium at AAAI 2025.
12/2024I will serve as a publicity chair of the ICS'25. Please check the Call for Paper here.
10/2024I will serve as a TPC member of the IPDPS'25.
07/2024NSF OAC has awarded our project "CyberTraining: Pioneering a CI Workforce for Sustainable and Transdisciplinary Environmental Science Research (OAC:2514351)". Thanks, NSF!
06/2024NSF CNS has awarded our application for the student travel grant for ICPP 2024 (CNS:2422988). This will undoubtedly bring great joy to the students.
05/2024Our request for resources to advance AI infrastructure has been awarded by the NSF NAIRR Pilot. Thank you to the NSF, DOE, and TACC!
05/2024A paper "TimeX++: Learning Time-Series Explanations with Information Bottleneck" is accepted in ICML'24.
12/2023Our proposal "An AI/ML Collaborative for Southeast Florida Coastal Environmental Data and Modeling Center (IIS-2331908)" has been funded by the NSF. A big thank you to NSF for their support!
12/2023I will serve as a TPC member of SC'24: The International Conference for High-Performance Computing, Networking, Storage, and Analysis, Area of Programming Frameworks, in Atlanta, GA, USA.
12/2023I will serve as a TPC member of HPDC'24: The 33rd International Symposium on High-Performance Parallel and Distributed Computing is scheduled on June 3-7, 2024 and will be held in Pisa, Italy.
11/2023I 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 SC23 in Denver. See you there!
10/2023I will serve as a Student Program Co-Chair of the International Conference on Parallel Processing (ICPP'24).
10/2023I am invited as a panelsit for DOE proposal review.
09/2023I will serve as a TPC member of the 2024 SIAM International Conference on Data Mining (SDM’24).
09/2023I will serve as a TPC member of CCGrid'24. See call for papers here.
06/2023MLbench'23 will be held alongside MLsys on June 8, 2023, in Miami. We cordially invite you to attend our workshop and say 'hi'.
04/2023A paper "Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate Models for HPC Applications" is accepted in HPDC'23.
11/2022I am invited to be a TPC of IEEE Cloud.
09/2022Our paper "Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning" is accepted in ASPLOS'23.
08/2022I am going to teach CEN 5082-Grid Enablement of Scientific Applications at FIU in the Fall semester.
06/2022I am invited to be a TPC of AI4Science workshop.
04/2022I will join FIU as a tenure-track assistant professor. Feel free to send me your application if you are interested in my research topics.
01/2022I am invited as a TPC of MLBench workshop.

Selected Publications

LLM Agents Meet Lossy Compression: Benchmark, Demystify and Optimize across HPC Architectures.
Changqing Li, Sheng Di, Kai Zhao, Wenqian Dong
In ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'26), 2026 (acceptance rate: 19.2%)
SC
Towards Building Reliable Machine Learning Surrogates for Scientific Applications.
Bohan Zhang, Wenqian Dong, Guanpeng Li
In IEEE Cloud Summit 2026
IEEE Cloud Summit
FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving.
Shouwei Gao, Junqi Yin, Feiyi Wang, Wenqian Dong
In ACM International Conference on Supercomputing (ICS'26), 2026 (acceptance rate: 21.4%) Best Paper Award nominee
ACM arxiv
LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation.
Shouwei Gao, Xu Zheng, Dongsheng Luo, Sheng Di, Wenqian Dong
The 40th IEEE International Parallel & Distributed Processing Symposium (IPDPS'26) (acceptance rate: %) (IPDPS), 2026
arXiv IEEE
TimeX++: Learning Time-Series Explanations with Information Bottleneck.
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
In the 41nd International Conference on Machine Learning (ICML'24) (acceptance rate: %) (ICML), 2024
ICML
Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate Models for HPC Applications.
Wenqian Dong, Gokcen Kestor and Dong Li
In the 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing (acceptance rate: %) (HPDC), 2023
HPDC
Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning.
Shuangyan Yang, Mingjia Zhang, Wenqian Dong, and Dong Li;
In the 28th International Conference on Architectural Support for Programming Languages and Operating Systems (acceptance rate: %) (ASPLOS), 2023
ASPLOS
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation.
Jie Liu, Wenqian Dong, Qingqing Zhou, and Dong Li
In the 47th International Conference on Very Large Data Bases (acceptance rate: 24%) (VLDB), 2021
VLDB
MD-HM: Memoization-based Molecular Dynamics Simulations on Big Memory System.
Zhen Xie, Wenqian Dong, Jie Liu, Ivy Peng, Yanbao Ma and Dong Li
In the 47th International Conference on Very Large Data Bases (acceptance rate: 24%) (ICS), 2021
ICS
Tahoe: Tree Structure-Aware High Performance Inference Engine for Decision Tree Ensemble on GPU.
Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu and Dong Li;
ACM 16th European Conference on Computer Systems, 2021 (acceptance rate: 20.9%) (EuroSys), 2021
EuroSys
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation.
Wenqian Dong, Zhen Xie, Gokcen Kestor and Dong Li
In 32nd ACM/IEEE International Conference for High Performance Computing (acceptance rate: 22.3%) Highlighted in Newswise as a DOE science innovation (SC), 2020
SC arxiv
Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation.
Wenqian Dong, Jie Liu, Zhen Xie and Dong Li;
In the 31st ACM/IEEE International Conference for High Performance Computing (acceptancerate: 22.6%) (SC), 2019
SC arxiv
Modeling Application Resilience in Large Scale Parallel Execution.
Kai Wu, Wenqian Dong, Qiang Guan, Nathan Debardeleben and Dong Li;
In the 47th International Conference on Parallel Processing (acceptance rate: 24%) (ICPP), 2018
ICPP

Awards and Funding

2025: OAC:2505118 (Role: Lead PI) "OAC Core: AI-Surrogate Enhanced Heterogeneous Acceleration for Large-Scale Power Grid Simulation"
2024: OAC:2514351 (Role: Lead PI) "CyberTraining: Implementation: Medium: EcoTern: Pioneering a CI Workforce for Sustainable and Transdisciplinary Environmental Science Research"
2024: CNS:2422988 (Role: Lead PI) "Travel: NSF Student Travel Grant for 2024 International Conference on Parallel Processing"
2023: IIS-2331908 (Role: SI) "An AI/ML Collaborative for Southeast Florida Coastal Environmental Data and Modeling Center"
2023: IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing
2020: Bobcat Fellowship at UC Merced
2018: Bobcat Fellowship at UC Merced
2019: ASPLOS'19 Student Travel Grant

Teaching

[OSU] CS 499/579 - Topics in Computer Architecture and Parallel Processing: Machine Learning System (Fall 2026)
[OSU] CS 4/575 - 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: Parallel Computing (Spring 2024)
[FIU] CEN-5082: Parallel Computing System (Spring 2024)
[FIU] COP-4520: Parallel Computing (Spring 2023)
[FIU] CEN-5082: Parallel Computing System (Fall 2022)
[UCM] CSE-179: Parallel computing (Fall 2019, Spring 2021)
[UCM] CSE-022: Introduction to Programming (Fall 2020, Fall 2021)
[UCM] CSE-020: Introduction to Computing (Spring 2021)

Students

Shouwei Gao, Ph.D. student (Fall 2023 -)
Arunavo Dey, Ph.D. student (Fall 2025 -)
Changqing Li, Ph.D. student (Fall 2025 -)
Xulu Chu, Ph.D. student (Summer 2026 -)
Tse-Ting Lin, Master student (Spring 2026 -)
Phannawich (Boss) Jadpotwanich, Master student (Summer 2026 -)
Jiya Pradhan, Undergrad
Chelsi Jain, Master student (Fall 2024 - Spring 2026), now at Lemurian Labs.
Haoyu Zheng, Master student (Fall 2023 - Fall 2025), now at FSU for PhD
Meiyan Gao, Master student (Fall 2021 - Spring 2023), now at Neocis Inc.

Services

Panel reviewer of NSF and DOE
Student Program Co-Chair of International Conference on Parallel Processing 2024 (ICPP'24)
Organizer for the MLBench'23 workshop
Technical Program Committee (TPC) for SC'24, SC'25, SC'26, HPDC'26, and IPDPS'24-IPDPS'26
Publicity Chair for ICS'25
Student Volunteer at SC’17, SC’18, SC'20 and SC'21
Assistant of managing HPDC’18 and HPDC’19 travel grants
Member of the Association of Computing Machinery (ACM)
Member of the Association of Computing Machinery (ACM-Women)
Member of the Institute of Electrical and Electronics Engineers (IEEE)