Shishi
From everyday capture to a desktop companion
Sep 2026 – present
I designed and built a voice-and-text activity journal that grew into a Windows desktop companion for recording, planning, and focus. More than a dozen friends are now using it.
ABOUT
Learning to perceive, model, and act.
I’m Owen Hu, a master’s student in Artificial Intelligence at Columbia University. My research and projects connect visual perception with sequential decision-making: 3D seismic segmentation, skeleton–language alignment, reinforcement learning, and decision-support systems.
I’m interested in how agents learn from interaction and build models of their environment. I’m exploring reinforcement learning, world models, and physical / embodied AI as directions for future research.
CURRENT INTERESTS
- Reinforcement learning
- World models
- Physical / Embodied AI
Selected research & projects
A selection of my work in perception, decision-making, and systems.
Browse more projects ↓
Geological Risk Prediction System Based on a Tri-coupled Intelligent Model
Data–knowledge–physics integration for subsurface characterization
Nov 2023 – Dec 2025 · project; paper under review
Led a four-student project connecting geological data governance, 3D numerical modeling, cave segmentation, and seismic inversion through a data–knowledge–physics framework.
Learning to control traffic
Deep reinforcement learning in SUMO
Jun – Nov 2024
Framing traffic signal timing as a Markov decision process and studying a DQN-based controller in simulation.
Disaster relief dispatch
A platform for resource allocation
Apr 2024 – Apr 2025
Connecting demand, inventory, and allocation workflows through a web platform for disaster relief supplies.
More projects & explorations
Coursework, independent studies, engineering tools, and competition projects.
Skeleton-based action understanding
Research in progressApr 2026 · documented experiments
Developing skeleton–text alignment on the Neuron baseline: six experiments spanning semantic prompt design, CLIP feature diagnostics, and dual-stream online prompt learning.
Thermal-infrared UAV tracking
Course projectSpring 2025 · course project
A UAV detection and tracking pipeline for video files and live streams, with a Streamlit interface and visual outputs.
Reinforcement learning for TSP
Study projectExploring DQN for the traveling salesman problem through a custom environment, training code, and baseline-solving scripts.
Game equipment strategy optimization
Modeling projectModeling League of Legends equipment choices as a budget-constrained decision process, with DQN and sensitivity analysis.
WeChat desktop scripting
Personal toolA small local utility for observing a selected conversation, preparing preset replies, and confirming sends.
QGIS–MapGIS symbol conversion
Internship projectJul – Aug 2024
A C# symbol-table conversion tool connecting QGIS and MapGIS, developed during my Zhongdi Digital Technology internship.
Deep reinforcement learning in vision
Survey draftA survey draft comparing reinforcement-learning formulations in landmark detection, object detection, tracking, and segmentation.
Image segmentation: landslides and VOC
Experimental projectHands-on segmentation work covering landslide recognition and VOC2012 experiments with FCN and U-Net models.
Logistics network forecasting & optimization
Competition project2023 · MathorCup
Freight-volume forecasting and network rerouting under depot closures; awarded First Prize in the 2023 MathorCup undergraduate division.
Heliostat-field layout optimization
Competition project2023 · CUMCM
Modeling optical efficiency and optimizing heliostat layouts; awarded National Second Prize in the 2023 undergraduate modeling contest.
Qingche Shulu
Competition project2024 · Challenge Cup
A team entrepreneurship project on freight-inspection applications, awarded Hubei Provincial Gold in the 2024 Challenge Cup.
Experience & recognition
Education
Columbia University
CurrentM.S. in Artificial Intelligence · In progress
China University of Geosciences, Wuhan
2022 – 2026B.Eng. in Computer Science and Technology
Industry experience
Zhongdi Digital Technology
Jul – Aug 2024Backend Development Intern
Developed C# tooling to translate QGIS marker, line, and fill symbols into MapGIS representations. Refactored symbol-class relationships and organized reusable transformations for visual and geometric properties.
Leadership & service
Academic Practice Center, CUG
Jun 2023 – Apr 2024Head of the Center
Coordinated academic activities and research/competition support, including the Future Technology Frontier Forum, peer exchange, and the college debate team. Organized planning and communication, and prepared competition guides and event articles connecting students with academic opportunities.
Awards & competitions
Hubei Provincial Gold Award
202413th Challenge Cup · College Student Business Plan Competition
Team project: Qingche Shulu — digital radiographic inspection for freight logistics.
First Prize · Undergraduate Division
202313th MathorCup Mathematical Modeling Challenge
Team project on freight-volume forecasting and logistics network optimization.
National Second Prize · Undergraduate Division
2023China Undergraduate Mathematical Contest in Modeling
Team project on heliostat-field layout optimization.
Get in touch
For conversations about research, projects, or potential collaboration, you can reach me by email.