About me
Yiyang Lu
Ph.D. Candidate in Computer Science, William&Mary.
Co-Advisors: Prof. Jie Ren, Prof. Evgenia Smirni
Research Interest: HPC system operation, Reliability, GPUs, Autonomous Vehicle Safety, Fault Correction, Machine Learning, Anomaly Detection, Time Series Analysis, Data Analysis
Education
- University of Electronic Science and Technology of China, Bachelor
2016 - 2020 - William & Mary, Ph.D.
2021- Now
Publications
Unveiling HPC Secrets: A Fundamental ML Model for Telemetry Analysis and Beyond (SUBMITTED)
Yiyang Lu , Jie Ren, Evgenia Smirni.
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
Research Experience
-
William & Mary: Research assistant
2023 - Now- 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.
- Analyzed the change of telemetry relationships relative to workload changes.
- 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.
- HPC telemetry analysis
-
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
- 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, Embeded C, Java, Go
- Data analysis: PyTorch, NumPy, Pandas, Pyspark, Tsfresh, Librosa, Optuna, Matplotlib, Plotly, PyG, Networkx
- Simulators: Carla, Apollo
- Databases: Spark, Hive, Elasticsearch, ClickHouse