About me

I am a researcher at Alibaba DAMO Academy. I am working on AIOps related to database systems.

Biography

Li Ye received his Ph.D degree in 2020 under the supervision of John C.S. Lui, in the CSE Department at CUHK. He received a B.E. degree of Computer Scinece in 2016 at USTC.

During his Ph.D studies, his research interest lies in the intersection of Data Mining and Economics, which he calls “Data Driven Decision”. More specifically, his research aims for better decision makings in marketing and economics by mining various kinds of data.

  • You see things; you say, “why?” But I dream things that never were; and I say ‘Why not?”

Conference Publications

  1. Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li, ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices. (Accepted by ASPLOS 2024)
  2. C. Shen, Q. Ouyang, F. Li, Z. Liu, L. Zhu, Y. Zhou, Q. Su, T. Yu, Y. Yi, J. Hu, C. Zheng, B. Wen, H. Zheng, L. Xu, S. Pan, B. Wu, X. He, Y. Li, J. Tan, S. Wang, D. Pei, W. Zhang, F. Li, Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems. (VLDB 2023 Industrial Track)
  3. Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li, OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting. (VLDB 2023) [paper]
  4. Liming Wang, Hong Xie, Ye Li, Jian Tan, John C.S. Lui, Interactive Log Parsing via Light-weight User Feedback. (ACM The Web Conference 2023) [paper]
  5. Li Ye, Xie Hong, Yishi Lin, John C.S. Lui, Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision. (ACM The Web Conference 2021) [arXiv version] [ACM version]
  6. Li Ye, Xie Hong, Yishi Lin, John C.S. Lui, To Be or Not To Be: Analyzing & Modeling Social Recommendation in Online Social Networks. (IEEE ICDM 2019) [paper]
  7. Li Ye, Xie Hong, John C.S. Lui, Quantifying Deployability & Evolvability of Future Internet Architectures. (IEEE ICNP 2018) [paper]
  8. Li Ye, Xie Hong, Weijie Wu, John C.S. Lui, Mining Customer Valuations to Optimize Product Bundling Strategy. (IEEE ICDM 2017) [paper]

Journal Publications

  1. Li Ye, Xie Hong, Yishi Lin, John C.S. Lui, Rewarding Social Recommendation in OSNs, Empirical Evidences, Modeling and Optimization. (IEEE TKDE, 2022) [paper]
  2. Li Ye, Xie Hong, John C.S. Lui, Kenneth L. Calvert, Quantifiying Deplyability & Evolvability of Future Internet Architectures. (ACM/IEEE ToN 2020) [paper]
  3. Li Ye, Weijie Wu, Richard T.B. Ma, John C.S. Lui, On the Profitability of Bundling Sale Strategy for Online Service Markets with Network Effects. (ACM ToIT 2018) [paper]

Awards

  • Hong Kong Fellowship Scholarship, 2016-2020
  • Excellent Undergraduate Thesis in USTC, 2016
  • Guo Moruo Scholarship in USTC, 2016
  • CCF Outstanding Undergraduate Student, 2016
  • National Scholarship, 2014 & 2015