Distributionally Robust Optimization
Generative ambiguity modeling for optimization systems that need to perform under distribution shift and uncertainty.
Ph.D. Student · Computer Science · University of Houston
Jiaqi Wen
I study robust and trustworthy machine learning systems, with current work on generative distributionally robust learning, decision-focused learning, and goal recognition.
Advisor & Lab
I am a Ph.D. student advised by Dr. Jianyi Yang in the Computational IntelliGence (CIG) Lab @ UH, where the team studies responsible and efficient AI/ML, decision making, and AI computing.
Research
Building reliable learning systems for uncertain environments.
Decision-Focused Learning
Learning methods that connect prediction quality with downstream decisions, including 3D and diffusion-augmented settings.
Goal Recognition & Causality
Variational and causal approaches for long-term goal recognition and interpretable AI reasoning.
3D Perception Systems
Point-cloud segmentation, measurement, recognition, and automated evaluation systems used in commercial deployments.
Publications
Recent papers and accepted work.
ICLR
Distributionally Robust Optimization via Generative Ambiguity Modeling
J. Wen and J. Yang. ICLR 2026.
Paper
NeurIPS OPT
Distributionally Robust Optimization via Diffusion Ambiguity Modeling
J. Wen and J. Yang. NeurIPS OPT 2025.
Paper
INFOCOM
3D-Learning: Diffusion-Augmented Distributionally Robust Decision-Focused Learning
J. Wen, L. Fan, and J. Yang. INFOCOM 2026.
Paper
arXiv
WaterAdmin: Orchestrating Community Water Distribution Optimization via AI Agents
J. Wen, P. Tang, S. Ren, and J. Yang.
Paper
AAMAS
Goal Recognition via Variational Causality
J. Wen and L. Amado. AAMAS 2025.
Paper
CVIDL
Spectral-Pointer Network: Pre-sort Leads the Pointer Network to Elude the TSP Vortex
J. Wen. CVIDL & ICCEA 2022.
PaperEducation
Interdisciplinary training across AI, computer science, and health science.
Ph.D. in Computer Science
University of Houston · USA
MSc in Artificial Intelligence
University of Aberdeen · Distinction · UK
MPhil in Computer Science
North China Electric Power University · China
BSc in Health Inspection and Quarantine
Guangdong Pharmaceutical University · China
Experience
Research, engineering, and production AI systems.
Research Assistant · University of Houston
uh.eduDoctoral student advised by Dr. Jianyi Yang, working on generative distributionally robust learning across theoretical foundations and practical applications.
Research Assistant · University of Aberdeen
abdn.ac.ukContributed to long-term goal recognition research with Prof. Felipe and Dr. Amado.
Algorithm Engineer · MetaDigital
metadigital.net.cnDeveloped 3D laser point-cloud segmentation, building measurement, floor-plane recognition, and distributed cluster systems used at CRLAND.
Test Development Engineer · Goodix Technology
goodix.comLed TOF 3D sensor testing work, built point-cloud evaluation systems, contributed to depth-map completion models, and developed automation for face recognition and sensor testing.
Skills
Technical Stack
Python
PyTorch
TensorFlow
Open3D
NumPy
Pandas
scikit-learn
Matplotlib
OpenCV
MATLAB
SPSS
SAS
Awards
Selected Honors
- 2025 NSM Graduate Student Conference Travel Award
- 2023 Aberdeen Global Scholarship
- 2018 Honor of Outstanding Worker
Contact