Pengzhan Guo (郭鹏展)

Teaching Experience

Duke Kunshan University (2022.7 ~ 至今)

• MATH 105: Calculus

• MATH 202: Linear Algebra

• STATS 303: Statistical Machine Learning

Stony Brook University (2018.6 ~ 2021.1)

• AMS 560: Big Data Systems, Algorithms and Networks;

• AMS 527: Numerical Analysis II, AMS 528: Numerical Analysis III;

• AMS 510 (Taught Recitation Sessions; Mean Score: A-): Analytical Methods for Applied Mathematics and Statistics.

Publications

• From efficiency to equity: A multi-user paradigm in mobile route optimization.
  Pengzhan Guo*, Keli Xiao.
  Electronic Commerce Research and Applications, 2024. [Impact Factor: 5.94]

• Preference-constrained career path optimization: An exploration space-aware stochastic model.
  Pengzhan Guo, Keli Xiao, Hengshu Zhu and Qingxin Meng.
  ICDM, 2023. [CCF B]

• Intelligent Career Planning via Stochastic Subsampling Reinforcement Learning.
  Pengzhan Guo, Keli Xiao, Zeyang Ye, Hengshu Zhu and Wei Zhu.
  Scientific Report, 2022. [Impact Factor: 4.379]

• Route Optimization via Environment-Aware Deep Network and Reinforcement Learning
  Pengzhan Guo, Keli Xiao, Zeyang Ye and Wei Zhu.
  ACM Transactions on Intelligent Systems and Technology (TIST), 2021. [Impact Factor: 4.654]

• Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning.
  Pengzhan Guo, Zeyang Ye, Keli Xiao and Wei Zhu.
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. [Impact Factor: 6.977]

• A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning.
  Pengzhan Guo, Zeyang Ye and Keli Xiao.
  Proceedings of the 19th IEEE International Conference on Data Mining (ICDM-19). [CCF B]