Pengzhan Guo

Journal Article Electronic Commerce Research and Applications · November 1, 2024 This study addresses the challenge of optimizing vehicle mobility in urban environments, which is significant for the advancement of smart city initiatives and spatial data analysis. We introduce a novel mobile recommendation system designed for multi-user ... Full text Cite

Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning

Journal Article IEEE Transactions on Knowledge and Data Engineering · October 1, 2022 This paper investigates the stochastic optimization problem focusing on developing scalable parallel algorithms for deep learning tasks. Our solution involves a reformation of the objective function for stochastic optimization in neural network models, alo ... Full text Cite

Intelligent career planning via stochastic subsampling reinforcement learning.

Journal Article Scientific reports · May 2022 Career planning consists of a series of decisions that will significantly impact one's life. However, current recommendation systems have serious limitations, including the lack of effective artificial intelligence algorithms for long-term career planning, ... Full text Open Access Cite

Route Optimization via Environment-Aware Deep Network and Reinforcement Learning

Journal Article ACM Transactions on Intelligent Systems and Technology · December 31, 2021 Vehicle mobility optimization in urban areas is a long-standing problem in smart city and spatial data analysis. Given the complex urban scenario and unpredictable social events, our work focuses on developing a mobile sequential recommendation sys ... Full text Cite

A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning

Conference 2019 IEEE International Conference on Data Mining (ICDM) · November 2019 Full text Cite