Hao Wang
haohw <at> tamu.edu

I am a Ph.D. student in TAMU advised by Prof. Zhiwen Fan, and a Senior Research Engineer at Google DeepMind, Gemini Post Training & Safety Alignment.

Previously, I obtained my M.Sc. from Carnegie Mellon University and B.Sc. from University of Edinburgh, where I was advised by Prof. Hakan Bilen.

My research interests center on LLM/VLM Post-Training, Embodied AI, and AI Safety.

Google Scholar

Hao Wang
Education

Ph.D. Computer Engineering, Texas A&M University, 2026-Now

M.Sc. Computer Science, Carnegie Mellon University, 2021-2022

B.Sc. Artificial Intelligence and Computer Science (First-Class Honours), University of Edinburgh , 2017-2020

Professional Experience

Senior Research Engineer, Google DeepMind, 2022 - Now

Machine Learning Engineer Intern, ByteDance, 2020.12 - 2021.7

Research Assistant, Visual Computing Group (VICO), University of Edinburgh, 2019.6 - 2020.5

Publications
(*indicates equal contribution)
RuleSmith: Multi-Agent LLMs for Automated Game Balancing
Z Zeng, C Liu, T Liu, H Wang, X Sun, F Yang, X Liu, Z Fan
arXiv preprint, 2026
paper
LeanGate: Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring
Xinmiao Xiong, Bangya Liu, Hao Wang, Dayou Li, Nuo Chen, Andrew Feng, Mingyu Ding, Suman Banerjee, Yang Zhou, Zhiwen Fan
arXiv preprint, 2025
project page
Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents
arXiv preprint, 2025
paper
StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs
Z Guo, S Cheng, Y Niu, H Wang, S Zhou, W Huang, Y Liu
ACL 2025
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
Z Guo, S Cheng, H Wang, S Liang, Y Qin, P Li, Z Liu, M Sun, Y Liu
ACL 2024
paper  /  code
ProAgent: From Robotic Process Automation to Agentic Process Automation
Yining Ye, Xin Cong, Shizuo Tian, Jiannan Cao, Hao Wang, Yujia Qin, Yaxi Lu, Heyang Yu, Huadong Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun
arXiv preprint, 2023
paper
Awards and Professional Service

Awards

  • University of Edinburgh Class Medal (Undergraduate student with highest GPA)
  • Carnegie Mellon University Director's Scholarship ($13,000)
  • Spiritus Prize for Health and Wellbeing

Teaching Assistant

  • Algorithms, Data Structures, Machine Learning, Software Engineering - The University of Edinburgh.
  • 17637 Web Application Development - Carnegie Mellon University.

Professional Service

  • Reviewer for ICLR, ACL, COLM, BMVC.

The design of this website is inspired by Jon Barron, last updated: 2026.4