Nice to e-meet you! I am Lingda (Leonard) Wang (王凌达), an ECE Ph.D. at University of Illinois at Urbana-Champaign, advised by Prof. Zhizhen Jane Zhao. I also closely work with my friends Bingcong Li and Huozhi Zhou.
My current research focuses on:

• Machine/Deep Learning: Large scale time series forecasting for demand prediction and inventory planning; Spatio-temporal sequence forecasting for climate and precipitation prediction; Multi-armed (contextual) bandits with its applications for recommendation systems and social networks; Graph neural nets
  
• Optimization: Acceleration for convex optimization; Stochastic optimization for large-scale optimization problems
  
• Signal Processing/Data Analysis: Community detection; Phase synchronization; Spectral methods; Computational imaging
  

News

• Dec 2023 Defensed!
• May 2023 Start a summer intern at Amazon SCOT forecasting as an Applied Scientist.
• Mar 2023 One paper about joint community detection and phase synchronization is accepted by IEEE Transactions on Signal and Information Processing over Networks.
• May-Aug 2022 Internship at Amazon as an Applied Scientist.
• Jan 2022 One paper is accepted by ICASSP’22, which was the probabilistic time serires forecasting project during my internship at Amazon.
• Jan 2022 Pass my preliminary exam!