郭鹏展 (Pengzhan Guo)
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助理教授 |
关于我
我目前是昆山杜克大学数据科学助理教授。 我于2021年12月获得 纽约州立大学石溪分校 应用数学与统计学院 统计学博士学位。 此前，我于2018年12月在纽约州立大学石溪分校应用数学与统计学院获得计算应用数学硕士学位。
我的研究兴趣主要包括机器学习、数据挖掘、强化学习与多智能体强化学习、随机优化、并行与分布式计算，以及这些方法在智能决策、推荐系统和城市计算等领域的应用。
教育经历
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博士，纽约州立大学石溪分校（2018.12 – 2021.12）
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硕士，纽约州立大学石溪分校（2017.08 – 2018.12）
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工作经历
昆山杜克大学
助理教授（2022.07 – 至今）
Samsung Research America
研究实习生（2021.05 – 2021.08）
荣誉与奖励
Best Oral Paper Award, International Conference on Brain Inspired Cognitive Systems (BICS), 2025
Best Paper Award, Workshop on Information Technologies and Systems (WITS), 2024
AMS Graduate Award – Excellence in Research, Stony Brook University, 2022
Best Paper Award, ACM Talent and Management Computing Workshop (TMC), 2021
ICDM Student Travel Award, IEEE International Conference on Data Mining (ICDM), 2019
IACS Travel Scholarship, Institute for Advanced Computational Science, Stony Brook University, 2019
Chinese National Scholarship, 2016
发表论文
Shapley in Context: Explaining Financial Language with Domain Expertise.
Dangxing Chen and Pengzhan Guo.
2026.From Efficiency to Equity: A Multi-User Paradigm in Mobile Route Optimization.
Pengzhan Guo* and Keli Xiao.
Electronic Commerce Research and Applications, 2024.Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model.
Pengzhan Guo, Keli Xiao, Hengshu Zhu and Qingxin Meng.
Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM), 2023. [CCF B]Intelligent Career Planning via Stochastic Subsampling Reinforcement Learning.
Pengzhan Guo, Keli Xiao, Zeyang Ye, Hengshu Zhu and Wei Zhu.
Scientific Reports, 2022.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.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.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), 2019. [CCF B]
工作论文
Societal Advancement through Equitable Decision Paths: A Performance-Adaptive Multi-Agent Reinforcement Learning Approach.
Pengzhan Guo, Keli Xiao and Jingyuan Yang.
Major Revision at Information Systems Research (ISR).Hybrid Decision MARL with Dynamical Allocation and Adaptive Search for Preference-Based Multi-User Mobile Sequential Recommendation.
Yuhan Wei, Dalve Xue, Hanchi Zhao and Pengzhan Guo.
Under Revision at ACM Transactions on Knowledge Discovery from Data (TKDD).
科研项目
高校“青蓝工程”优秀青年骨干教师（2025.07 – 2028.07）
负责人；经费：4万元
江苏省高校“青蓝工程”集中式并行随机梯度下降的理论和算法研究（2025.01 – 2027.12）
负责人；经费：30万元
国家自然科学基金青年科学基金项目多智能体推荐系统研究（2023.01 – 至今）
负责人
昆山超算中心合作项目
教学经历
昆山杜克大学
MATH 105：Calculus（微积分）
MATH 202：Linear Algebra（线性代数）
STATS 303：Statistical Machine Learning（统计机器学习）
纽约州立大学石溪分校
AMS 560：Big Data Systems, Algorithms and Networks（大数据系统、算法与网络）
AMS 527：Numerical Analysis II（数值分析 II）
AMS 528：Numerical Analysis III（数值分析 III）
AMS 510：Analytical Methods for Applied Mathematics and Statistics（分析方法），辅导课教师，学生平均评分：A-
学术服务
期刊审稿
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Parallel and Distributed Systems (TPDS)
IEEE Transactions on Systems, Man, and Cybernetics: Systems
IEEE Transactions on Industrial Informatics (TII)
IEEE Transactions on Big Data
ACM Transactions on Intelligent Systems and Technology (TIST)
Electronic Commerce Research and Applications (ECRA)
IEEE Access
PeerJ Computer Science
国际会议学术服务
Program Committee：IEEE ICDM (2026), WAIC (2026)
Reviewer：SIGIR (2022–2024), KDD (2020–2021), ICDM (2020–2021), CIKM (2020–2022), WSDM (2021)