Andrew Keli Xiao

Dr. Xiao’s research interests span business analytics, business intelligence, data mining and knowledge discovery, urban computing, economic bubbles and crises, and asset pricing. His work has been published in leading refereed journals such as IEEE Transactions on Knowledge and Data Engineering, Scientific Reports, INFORMS Journal on Computing, ACM Transactions on Knowledge Discovery from Data, ACM Transactions on Management Information Systems, Real Estate Economics, and Information Sciences. His research has also been presented at top-tier conferences, e.g., KDD, WWW, ACL, IJCAI, and ICDM, etc.

Dr. Xiao has received several research awards, e.g., the Prabuddha De Best Paper Award at the 34th Annual Workshop on Information Technologies and Systems (WITS 2024) and the Best Paper Award at the 2nd ACM SIGKDD Workshop on Talent and Management Computing (2021). He actively contributes to the academic community by serving on program committees for numerous international conferences, e.g., AAAI, KDD, IJCAI, ICML, NeurIPS, ICDM, CIKM, etc. He is also a member of the editorial boards for several refereed journals. He is a senior member of both IEEE and ACM.

Research: Selected Publications

"EventPattern-Instance Graph: A Multi-Round Role Representation Learning Strategy for Document-Level Event Argument Extraction"
Qizhi Wan, Liu Tao, Changxuan Wan, Rong Hu, Keli Xiao, and Yuxin Shuai.
ACL 2025 Findings, 2025.

"Dependency Structure-Enhanced Graph Attention Networks for Event Detection"
Qizhi Wan, Changxuan Wan, Keli Xiao, Kun Lu, Chenliang Li, Xiping Liu, and Dexi Liu
AAAI 2024, 38(17), 19098-19106, 2024.

Intelligent Career Planning via Stochastic Subsampling Reinforcement Learning
Pengzhan Guo, Keli Xiao, Zeyang Ye, Hengshu Zhu, and Wei Zhu
Scientific Reports, 12, Article 8332, 2022.

Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model
Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu, and Hui Xiong
INFORMS Journal on Computing, 34(5), 2443-2463, 2022

Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective
Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, and Hui Xiong
WWW 2021, 612–623, 2021

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, 12(6), 74:1-74:21, 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, 2020

Multi-User Mobile Sequential Recommendation for Route Optimization
Keli Xiao, Zeyang Ye, Lihao Zhang, Wenjun Zhou, Yong Ge, and Yuefan Deng
ACM Transactions on Knowledge Discovery from Data, 14(5), 52:1-52:28, 2020

A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction
Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, and Hui Xiong
KDD 2019, 14–24, 2019

The Timeline Estimation of Bubbles: The Case of Real Estate
Frank J. Fabozzi and Keli Xiao
Real Estate Economics, 27(2), 564-594, 2019

Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation
Zeyang Ye, Keli Xiao, Yong Ge, and Yuefan Deng
IEEE Transactions on Knowledge and Data Engineering, 31(2), 243-256, 2019

A Proactive Workflow Model for Healthcare Operation and Management
Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, and Keli Xiao
IEEE Transactions on Knowledge and Data Engineering, 29(3), 586-598, 2017

Teaching: Data Mining, Data Analysis for Finance