Wang Lidong

Publications

• 2023
  Tajeuna, E. G., Bouguessa, M., Wang, S. (2023) Modeling Regime Shifts in Multiple Time Series. ACM Transactions on Knowledge Discovery from Data, 1-31. Association for Computing Machinery.
  DOI
• 2022
  Tajeuna, E. G., Bouguessa, M., Wang, S. (2022) A Longitudinal Study of Customer Electricity Load Profiles. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 289-294.
  DOI
• 2021
  Tajeuna, E. G., Bouguessa, M., Wang, S. (2021) Mining Customers’ Changeable Electricity Consumption for Effective Load Forecasting. ACM Transactions on Intelligent Systems and Technology, 1-26. Association for Computing Machinery.
  DOI
• 2018
  Tajeuna, E. G., Bouguessa, M., Wang, S. (2018) A Network-Based Approach to Enhance Electricity Load Forecasting.
  DOI
• 2018
  Tajeuna, E. G., Bouguessa, M., Wang, S. (2018) Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks. IEEE Transactions on Knowledge and Data Engineering, 1166-1180. IEEE Computer Society.
  DOI
• 2017
  He, Z., Tajeuna, E. G., Wang, S., Bouguessa, M. (2017) A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks.
  DOI
• 2017
  Tajeuna, E. G., Bouguessa, M., Wang, S. (2017) Survival analysis for modeling critical events that communities may undergo in dynamic social networks.
  DOI
• 2016
  Tajeuna, E. G., Bouguessa, M., Wang, S. (2016) Tracking Communities over Time in Dynamic Social Network. Lecture notes in computer science, 341-345. Springer Science+Business Media.
  DOI
• 2015
  Tajeuna, E. G., Bouguessa, M., Wang, S. (2015) Tracking the evolution of community structures in time-evolving social networks.
  DOI