Yiyang lu
Ph.D. in computer science, William&Mary.
Advisor:Prof. Evgenia Smirni
Research interest: Reliability, Machine learning, trustworthy neural network
Education
- University of Electronic Science and Technology of China, Bachelor
2016 - 2020 - William & Mary, Ph.D.
2021- Now
Publications
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
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
Research Experience
- David Kotz's Group in Dartmouth College: Research assistant for "Wearable Technology"
2019 - Li Xiaojian's Group in SIAT CAS: Research assistant for "Brain-Computer Interface"
2020
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)
Reviews
- 2022: The 18th International Conference on Mobility, Sensing and Networking (MSN 2022, subreviewer)
Teaching Assistant
- CSCI243 Discrete Structures of CSCI (Fall 2021)
- CSCI534 Nework Systems and Design (Spring 2022)
- CSCI241 Data Structures (Fall 2022)