Galleries of Prince 🀴🀴🀴

Prince Wang

Hi, my name is Prince πŸ‘‹ I am a PhD student πŸŽ“ and entrepreneur πŸ’Ό in Information Systems at Carnegie Mellon University, where I do research on GenAI and LLM agents πŸ€–. I am also the co-founder of WeMeow.ai (launching soon), an AI startup that builds the next geneation of agentic-based social-media platform with proactive and personalized AI agents.

At CMU, my research focuses on building capable, efficient, and safe LLM agents:
(a) Human-Centric LLM Agents: Training LLM agents to perform human-centric tasks by learning from human feedback, preferences, and real-world interaction patterns;
(b) Cost-Efficient Reinforcement Learning: Developing cost-efficient RL methods for reasoning, multi-agent collaboration, and long-horizon agentic tasks;
(c) Building Robust Agents: Enhancing the safety and robustness of LLM agents through the design of environments and benchmarks that rigorously evaluate their behavior.

I am looking for more research collaborations to build better LLM agents! We currently have several A100 GPU clusters capable of large-scale inference and RL post-training. If you are interested and have ideas, please reach out to us at princewang [at] cmu [dot] edu.

EducationEducation
  • 2022-present   PhD in Information System, Carnegie Mellon University
  • 2017-2022   5 year BS/MS in Computer Science, UC Santa Barbara

Publication  

Preprint / Working Papers

 
 

Conference

 

ICLR 2026

Prince Zizhuang Wang, Shuyi Chen, Jinhao Liang, Ferdinando Fioretto, Shixiang Zhu
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
 
 

ACL 2020

 

EMNLP 2019

Prince Zizhuang Wang, William Yang Wang
Neural Gaussian Copula for Variational Autoencoder
 
 

Experience

Upcoming Summer 2026

Research Internship in Large Language Models/Agents, Amazon, AWS AI Fundamental Research
Mentor: TBD

May 2025 - Aug 2025

Research Internship (Applied Scientist Intern) in Large Language Models/Agents, Amazon
Mentor: Dong Li

May 2023 - Aug 2023

Research Internship in Machine Learning, Capital One, MLX
Advisors: β€ͺNikita V Seleznev

Oct 2018 - 2022

Research Assistant, UCSB, NLP Lab
Advisors: William Wang and Yu-Xiang Wang

June 2019 - Sep 2019

Research Internship, USC, ISI NLP Lab
Advisors: Nanyun (Violet) Peng and Greg Ver Steeg

Awards

  • 2020   CRA Outstanding Undergraduate Researchers, Finalist
  • 2019   Chancellor's Award for Excellence in Undergraduate Research (Highest honor for Undergraduate Research at UCSB; 4 recipients each year)
  • 2019   UCSB NLP Lab Outstanding Undergraduate Research Award
  • 2018   Gene and Lucas Undergraduate Research Award
  • Music  

    Apart from Academia and writing books, I am also a Music producer, songwriter, and singer.
    My music genre is mainly in classical 🎻 or neo-classical music 🎷. I also do EDM πŸ“», Deep House πŸ’ƒπŸ», and many others.
    Check out my Singles on Spotify.