Hao Yan
Assistant Professor in School of Computing, Informatics, and Decision Systems Engineering
Arizona State University
Biography
Research Interest
Develop machine learninng models and efficient real-time large-scale optimization algorithms for high-dimensional data (i.e., Images, profiles, signals) in different industrial systems and spatio-temporal systems for anomaly detection and system modeling
Download my resumé .
- Generative Models
- Reinforcement Learning
- Anomaly Detection
Ph.D. in Industrial Engineering, 2017
Georgia Institution of Technology
M.S. in Statistics, 2016
Georgia Institution of Technology
M.S. in Computational Science and Engineering, 2016
Georgia Institution of Technology
B.S. in Physics, 2011
Beijing University
Recent News
May 2026, our paper Path-Coupled Bellman Flows for Distributional Reinforcement Learning was accepted to International Conference on Machine Learning (ICML) 2026 as a regular presentation (authors: Boyang Xu, Qing Zou, Siqin Yang, Hao Yan). Flow matching with path coupling for distributional RL; improves stability on offline benchmarks including OGBench and D4RL.
Feb 2026, our paper D-Convexity: A Unified Differentiable Convex Shape Prior via Quasi-Concavity for Data-driven Image Segmentation (with Shengzhe Chen) was accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) as a Highlight (approximately top 3% of accepted papers). Project page · arXiv · Code · Virtual poster.
Apr 2026, Jiayu Huang was selected as Outstanding Graduating IE PhD Student for the 2025–2026 academic year (Industrial Engineering, Arizona State University).
Jul 2025, Jiayu Huang defended her dissertation Knowledge-Infused Bayesian Learning for High-Dimensional Spatiotemporal Data Analytics. Her IEEE CASE 2025 paper Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems received the IEEE CASE Best Conference Paper Award (winner among ~430 submissions).
2025, ICQSR Best Paper Competition Finalist for Exact Multistage Bayesian Optimization (with Siqin Yang, Kangan Chen, Andi Wang).
Current Students
Boyang Xu
Reinforcement Learning, Probabilistic Modeling, Operations Research
Shengzhe Chen
Computer Vision, Geometric Deep Learning, Optimization
Siqin Yang
Bayesian Optimization, Machine Learning, Sequential Decision Making
Projects
Recent Publications
Contact
Email: haoyan@asu.edu
Phone: (480) 727-0556
Directions: Enter Brickyard Building and take the stairs to Office 338 on Floor 3
Featured Publications
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