About me
Yiyang Lu
Ph.D. Candidate in Computer Science, William & Mary.
Co-Advisors: Prof. Jie Ren, Prof. Evgenia Smirni
Research Interest: Agentic AI, Resilience, Anomaly Detection, Safety-Critical Systems, Time Series Analytics, HPC
Education
- William & Mary, Ph.D. in Computer Science
2021 - Present - University of Electronic Science and Technology of China, B.S. in Software Engineering
2016 - 2020
Publications
Introspective and Interactive Visual Grounding for Visualization Agents
Yiyang Lu, Woong Shin, Ahmad Maroof Karimi, Feiyi Wang, Jie Ren, Evgenia Smirni.
ACM SIGMETRICS 2026 Student Poster Session, to be presented. SIGMETRICS 2026
ML-Based GPU Error Prediction in Production HPC: Challenges and Trade-offs (SUBMITTED)
Yiyang Lu , Woong Shin, Ahmad Maroof Karimi, Feiyi Wang, Evgenia Smirni, Jie Ren.
Mantis: Decoding HPC Telemetry Data for Robust System Prediction
Yiyang Lu , Jie Ren, Evgenia Smirni.
Proceedings of the 40th ACM International Conference on Supercomputing, to appear. ICS 2026
On Predicting Vulnerability Severity Using In-Context Learning: An Industrial Case Study
Daniel Rodriguez-Cardenas, David N. Palacio, Anna Schmedding, Yiyang Lu, Bill Hudson, Chris Gourley, Michael Roytman, Chris Shenefiel, Evgenia Smirni, Denys Poshyvanyk.
Journal of Software: Evolution and Process, to appear.
Strategic Resilience Evaluation of Neural Networks within Autonomous Vehicle Software
Anna Schmedding, Philip Schowitz, Xugui Zhou, Yiyang Lu, Lishan Yang, Homa Alemzadeh and Evgenia Smirni.
SAFECOMP2024: 43rd International Conference on Computer Safety, Reliability and Security. SAFECOMP 2024
Investigating Anomalies in Compute Clusters: An Unsupervised Learning Approach
Yiyang Lu , Jie Ren, Yasir Alanazi, Ahmed Mohammed, Diana McSpadden, Laura Hild, Mark Jones, Wesley Moore, Malachi Schram, Bryan Hess, Evgenia Smirni.
SC '23 Research Posters: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, November 2023. SC 23
Measuring children’s eating behavior with a wearable device
Shengjie Bi, Yiyang Lu , Nicole Tobias, Ella Ryan, Travis Masterson, Sougata Sen, Ryan Halter, Jacob Sorber, Diane Gilbert-Diamond, and David Kotz.
Proceedings of the IEEE International Conference on Healthcare Informatics, December 2020. ICHI 2020
Datasets
Dataset for Investigating Anomalies in Compute Clusters
Diana McSpadden, Yasir Alanazi, Bryan Hess, Laura Hild, Mark Jones, Yiyang Lu, Ahmed Mohammed, Wesley Moore, Jie Ren, Malachi Schram, Evgenia Smirni.
Research Experience
- Oak Ridge National Laboratory (ORNL): Graduate Research Intern
June 2025 - Aug 2025 -
William & Mary: Research Assistant
June 2022 - Present- Data Science Agent
- Built visualization agents with direct plot introspection and interaction to alleviate VLM data hallucination.
- Developed iPlotBench, a benchmarking suite for evaluating agentic visualization capabilities.
- Developed Deep Plot for iterative data exploration and automated insights generation.
- HPC telemetry analysis
- Analyzed a large amount of real-world production telemetry data from OLCF, JLab clusters.
- Proposed a predictive framework that adapts to diverse tasks, including anomaly detection and workload prediction.
- Developed a method to reveal telemetry relationships, offering a holistic view of system behavior.
- Resilience Evaluation of Autonomous Vehicle Models
- Performed strategic resilience evaluation on an L4 autonomous driving system.
- Examined the effectiveness of mitigation on critical faults in autonomous vehicles.
- Data Science Agent
-
Li Xiaojian's Group in SIAT CAS: Research assistant for "Brain-Computer Interface"
2020 - David Kotz's Group in Dartmouth College: Research assistant for "Wearable Technology"
2019
Industry Experience
- ByteDance: Research & Development Intern for "Network Traffic Analysis"
2021
Awards
- William&Mary Summer Graduate Research Fellowship (2021)
- UESTC Outstanding Student Scholarship (2016-2017, 2017-2018)
Professional Service
- HPDC'26: International Symposium on High-Performance Parallel and Distributed Computing 2026 (subreviewer)
- Sigmetrics'26: Special Interest Group on Measurement and Evaluation 2026 (subreviewer)
- Sigmetrics'25: Special Interest Group on Measurement and Evaluation 2025 (subreviewer)
- Sigmetrics'24: Special Interest Group on Measurement and Evaluation 2024 (subreviewer)
- MSN 2022: The 18th International Conference on Mobility, Sensing and Networking (subreviewer)
Teaching Assistant
- CSCI241 Data Structures (Fall 2022)
- CSCI534 Nework Systems and Design (Spring 2022)
- CSCI243 Discrete Structures of CSCI (Fall 2021)
Tools
- Programming Languages: Python, Embedded C, Java, Go
- Data analysis: PyTorch, NumPy, Pandas, Pyspark, Tsfresh, Librosa, Optuna, Matplotlib, Plotly, PyG, Networkx
- Simulators: Carla, Apollo, Autoware
- Databases: Spark, Hive, Elasticsearch, ClickHouse