I am a PhD student in the School of Computing at the Australian National University, supervised by Prof. Hongdong Li. I worked on a wide range of topics in computer vision, including 3D pose tracking and extended reality (with Pan Ji at Tencent XR Vision Labs); avatar reconstruction and animation (with Fabian Prada and Jason Saragih at Meta Codec Avatars Lab); 3D asset generation and video creation (with Pulak Purkait at Amazon IML). Please find more details in my CV.
Prior to my PhD student, I obtained my Bachelor degree in the College of Engineering and Computer Science at the Australian National University, and was awarded with University Medal and Erin Brent Computer Science Prize. I was also awarded with First Class Honours under the supervision of Dongxu Li and Hongdong Li.
💻 Work Experience
- 2022.07 - 2023.04, XR Vision Labs, Tencent, Research Intern.
- 2024.06 - 2024.11, Codec Avatars Lab, Meta, Research Intern.
- 2025.01 - 2025.07, International Machine Learning, Amazon, Research Intern.
📝 Publications

FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images
Rong Wang, Fabian Prada, Ziyan Wang, Zhongshi Jiang, Chengxiang Yin, Junxuan Li, Shunsuke Saito, Igor Santesteban, Javier Romero, Rohan Joshi, Hongdong Li, Jason Saragih, Yaser Sheikh
- We learn a universal prior from over a thousand clothed humans to achieve instant feedforward generation and zero-shot generalization, aiming for reconstructing personalized 3D human avatars with realistic animation from only a few images.

Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation
Rong Wang, Wei Mao, Changsheng Lu, Hongdong Li
- We present a novel method aiming for high-quality motion transfer with realistic apparel animation, and also build a new dataset named MMDMC combining stylized characters from the MikuMikuDance community with real-world Motion Capture data.

DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
Rong Wang, Wei Mao, Hongdong Li
- We present DeepSimHO: a novel deep-learning pipeline that combines forward physics simulation and backward gradient approximation with a neural network.

Interacting hand-object pose estimation via dense mutual attention
Rong Wang, Wei Mao, Hongdong Li
- We propose a novel dense mutual attention mechanism that is able to model fine-grained dependencies between the hand and the object.

Transcribing natural languages for the deaf via neural editing programs
Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li
- We design a new neural agent that learns to synthesize and execute editing programs, conditioned on sentence contexts and partial editing results.

AttentionFlow: Visualising Influence in Networks of Time Series
Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Mathews, Rong Wang, Georgiana Lyall, Lexing Xie
- We present AttentionFlow, a new system to visualise networks of time series and the dynamic influence they have on one another.
🎖 Honors and Awards
- 2018, ANU Excellence Scholarship.
- 2019 – 2021, ANU Summer Research Scholarship.
- 2019 – 2021, Terrell International Undergraduate Scholarships.
- 2021, University Medal.
- 2021, Erin Brent Computer Science Prize.
- 2022, Australian Government Research Training Program International Scholarship.
📖 Educations
- 2018.02 - 2021.12, Bachelor of Advanced Computing (Research & Development).
- 2022.02 - 2025.12, Doctor of Philosophy, School of Computing.