LOUIS
HELLO my name is
LOUIS LIANG

Research Assistant @ HKU
Incoming PhD · Data & System Engineering · Sept 2026

AI × OR · Supervised by Prof. Zuo-Jun Max Shen
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ABOUT
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ASK THE SPIDER
I'm Yunhao Liang. Currently a Research Assistant at HKU, starting my PhD in Data & System Engineering this September under Prof. Zuo-Jun Max Shen. I find the path — both in Artificial Intelligence and Operation Research.
SKILLS
Skill Universe
CORE
RESEARCH
RESEARCH & PROJECTS
Current Research
Graph Optimization Foundation Model
The University of Hong Kong
Prof. Zuo-Jun Max Shen
Under Review · Management Science

A pretrain-transfer framework for graph optimization:

  • Self-supervised pretraining on graph structure
  • Supports SP, TSP, CVRP & more tasks
  • Amazon Last Mile case study
Full Project Page → arXiv Paper →
Cooperative Multi-LLM Agents via Sequential Public Goods Games
The University of Hong Kong
Prof. Max Shen & Prof. Shaochong Lin
May 2025 - Present
Under Review at AAAI 2026

Building a game-theoretic multi-agent framework to study cooperation among LLM-based agents:

  • Sequential Public Goods Game with belief updating and conditional cooperation
  • Subgame Perfect Nash Equilibrium analysis under full vs. partial observability
  • Mechanism design for incentive alignment

Preprint: arXiv:2508.02076

Past Projects
UAV Path Planning
UC Berkeley
Prof. Mark W. Mueller
Sep 2024 - May 2025

Optimizing UAV paths for agricultural data collection:

  • DARP & MST algorithms
  • Data transmission
  • Automated decision-making
Learn More →
Image-to-Text AI System
Independent Project
Feb 2025 - Mar 2025

Building a multimodal LLM pipeline to convert images (forms, handwriting) into structured text:

  • Prompt engineering and fine-tuning for Pix2Text / Pix2Struct
  • Mini Program interface; backend in progress
  • Focus on accuracy and generalizability in unstructured data
GitHub →
Smart City Innovation
Chongqing University
2023-2024

Analyzing Smart City Pilot Plan impact:

  • Multi-period DID model
  • 296 cities study
  • 20-year data analysis
Paper →
Yin Music Platform
Personal Project

Full-stack music platform:

  • Spring Boot backend
  • Vue.js frontend
  • MySQL optimization
GitHub →
Blood Donation System
University of Pittsburgh
Prof. Bo Zeng

Hospital transfusion simulation:

  • Simio modeling
  • Kenyan hospitals study
  • UPMC collaboration
ACADEMIC
MY ACADEMIC JOURNEY
UC BERKELEY

Currently pursuing my Master's in Industrial Engineering and Operations Research at Berkeley's College of Engineering. I'm particularly excited about diving deep into mathematical programming, machine learning, and supply chain optimization. Being awarded the Fung Excellence Scholarship ($15000) has been a great honor and motivation for my studies.

What I'm learning
Mathematical Programming Stochastic Process Machine Learning Deep Learning Supply Chain Management
UNIVERSITY OF PITTSBURGH

My journey in Industrial Engineering really took shape at Pitt's Swanson School of Engineering. I combined my IE major with a Computer Science minor, which gave me a unique perspective on how technology can enhance industrial processes. One of my proudest moments was when our team won 2nd place in the department's senior project competition.

Key areas I explored
Operations Research Supply Chain Analysis Data Structures Algorithms Game Theory Web Development
SICHUAN UNIVERSITY

My academic foundation began here, where I first discovered my passion for Industrial Engineering. The strong mathematical and statistical background I gained here has proven invaluable in my later studies.

Foundation courses
Statistics Linear Algebra Calculus Information Systems Engineering Economics
EXPERIENCE
WORK EXPERIENCE
THE UNIVERSITY OF HONG KONG
Starting Sep 2026
Incoming Research Assistant (RA) · Supervised by Prof. Zuo-Jun Max Shen

Joining HKU to work on AI for Operations Research, graph optimization, and data-driven decision systems, while preparing for the Data & System Engineering PhD program.

Focus: AI 脳 OR, foundation models, and real-world logistics optimization.
ALSTOM COMPANY
Jan 2024 - Apr 2024
Part-time Logistics Assistant

At Alstom's West Mifflin facility, I worked on optimizing the logistics flow for airport rail system production. Using Spiral Layout Planning and Lean methodologies, we improved material handling and space utilization under practical industrial constraints.

Highlight: Contributed to a 49% improvement in layout efficiency.
SICHUAN DAZHOU IRON & STEEL GROUP
Jul 2022 - Aug 2022
Data Analyst Intern

Worked with large-scale manufacturing datasets at the Technology Center. Processed multiple production data streams and applied machine learning methods to support workflow optimization.

Key achievement: Processed and analyzed 15+ manufacturing datasets.
CONNECT
LET'S
SOLVE
SOMETHING
HARD,
STRANGE,
AND
MEANINGFUL.

Open to research collaborations, engineering roles, and conversations about optimization, AI, and graph intelligence.