Jionghao Wang

Jionghao Wang

Currently looking for full-time/internship opportunities.

I am a 3rd-year Ph.D. student at Texas A&M University, supervised by Prof. Wenping Wang and Prof. Xin Li. I also work closely with Prof. Yue Wang. People call me John.

I am passionate about bringing intelligence to the real world, through Robot Foundation Models, Physics-based Motion, and 3D Real-to-Sim.

Previously, I obtained my B.Eng. and M.Eng. degrees from Shanghai Jiao Tong University, where I was fortunate to be supervised by Prof. Li Song.

Publications (robotics first, then 3D; * equal contribution)

Flex-RSI: Benchmarking Recursive Self-Improvement of Frontier Agents

Jionghao Wang*, Jingdong Zhang*, Zhengming Yu, et al.

A budget-aware benchmark where agents rewrite their own harness between rounds to improve at a task. We ran 18 frontier models on 24 vision and robotics tasks to see where self-improvement pays off.

Steerable Humanoid Loco-Manipulation VLA

Jionghao Wang* (co-first author), et al.

A humanoid policy steered by future goal images: a predictor turns subtask prompts into goal images, and a planner drives whole-body actions toward them across multi-task routines.

DiTaR: Disentangling Task-Relevant Latent Dynamics for Reward Modeling

We learn dense rewards from action-free videos by modeling task-relevant latent dynamics, so the reward tracks task progress rather than visual distractors such as lighting.

Learning What Matters: Adaptive Information Theoretic Objectives for Robot Exploration

Developed QOED to enhance robot exploration by isolating identifiable model parameters and suppressing unidentifiable 'nuisance' directions in high-dimensional systems.

PDT: Point Distribution Transformation with Diffusion Models

PDT is a novel diffusion-based framework for transforming dense point distribution into a target distribution that is semantically meaningful.

Disentangled Clothed Avatar Generation from Text Descriptions

In this paper, we introduced a novel text-to-avatar generation method that separately generates the human body and the clothes and allows high-quality animation on the generated avatar.

360-Degree Panorama Generation from Few Unregistered NFoV Images

Jionghao Wang*, Ziyu Chen*, Jun Ling, Rong Xie, Li Song

We proposed a novel diffusion-based pipeline that generates complete 360 panoramas using one or more unregistered NFoV images captured from arbitrary angles.

SPGen: Spherical Projection as Consistent and Flexible Representation for Single Image 3D Shape Generation

SPGen leverages Spherical Projection (SP) to generate high-quality 3D shapes with diffusion models.

News

  • NOV 2026 Released Flex-RSI, a benchmark for recursive self-improvement of frontier agents! 🤖
  • MAY 2026 Started as a research intern at WorldEngine AI! 🌍
  • AUG 2025 Wrapped up my amazing time with Sony, then presented at SIGGRAPH 2025 in Vancouver, Canada! 🇨🇦
  • MAY 2025 Started as a research intern at Sony in San Jose, CA! 🎮
  • OCT 2024 Attended ECCV 2024 in Milan, Italy! 🇮🇹
  • AUG 2024 Started as a Ph.D. student at Texas A&M! Gig 'em! 🎓
  • JUL 2024 SO-SMPL is accepted by ECCV 2024. Thanks to all collaborators! 🎉
  • MAR 2024 Obtained my Master's degree from SJTU! Grateful for the amazing time! 🎓
  • FEB 2024 Started as a research intern at miHoYo in Shanghai! ✨

Internships

WorldEngine AI

2026 · Santa Clara, CA

Research Intern

Sony Corporation of America

2025 · San Jose, CA

Research Intern

miHoYo (HoYoverse)

2024 · Shanghai, CN

Research Intern

Intel Asia Pacific Development

2021 · Shanghai, CN

Media Graphics Software Engineering Intern

Teaching

CSCE 611 Operating Systems
Teaching Assistant · Texas A&M · Spring 2026
CSCE 671 Human-Computer Interaction
Teaching Assistant · Texas A&M · Fall 2025
VIST 172/173 Foundations of Visual Computing I & II
Teaching Assistant · Texas A&M · Fall 2024 & Spring 2025
VIST 272 Visual Computing
Teaching Assistant · Texas A&M · Fall 2024

Misc

I love comedy, sports, music, history, and cinema.