Zhaoyang Wang

I am an incoming Tenure-Track Assistant Professor in the Department of Computer and Information Sciences at Temple University, starting in Spring 2027. I am actively recruiting students. Please see Recruitment.

I received my Ph.D. in Computer Science from Johns Hopkins University, where I was fortunate to be advised by Bloomberg Distinguished Professor Rama Chellappa (NAE). I also had the pleasure of collaborating with Bloomberg Distinguished Professor Alan L. Yuille and Prof. Vishal Patel. During my internship with Microsoft's ASG group, I had the opportunity to work under the mentorship of Dr. Luming Liang.

I received my MRes degree with Distinction in Medical Robotics and Image-Guided Intervention from Imperial College London, where I had the privilege of being mentored by Prof. Guang-Zhong Yang (CBE, FREng). During my studies, I was also honored to receive the Hamlyn Prize.

My research interests span machine learning, computer vision, 4D human understanding, gait recognition, biometrics, large language models (LLMs), and medical image analysis, with a broader goal of developing intelligent systems that advance human understanding and improve human well-being.


               

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Recruitment

I am actively recruiting prospective Ph.D., Master's, and undergraduate students, as well as research interns, for Fall 2027. If you are interested in working with me, please email me at both zhao.yang.wang@outlook.com and zwang303@jhu.edu with the subject line "Prospective PhD / Master's / Undergraduate / Intern".

Recent Awards
  • Ph.D. in Computer Science, Johns Hopkins University, 2026
  • Hamlyn Prize
  • National Scholarship
  • Outstanding Graduates Scholarship
  • Chinese Academy of Sciences Scholarship for College Students
Talks

Invited Talk, CCVL Lab Seminar, Johns Hopkins University.

Invited Talk, ECE Rising Star Seminar, George Mason University.

Recent Projects

Full list on Google Scholar Profile.

CausalSpatial: A Comprehensive Benchmark for Object-Centric Causal Spatial Reasoning.

Wenxin Ma*, Chenlong Wang*, Ruisheng Yuan*, Hao Chen, Nanru Dai, Yijun Yang, Qi Chen, Zhao-Yang Wang, S. Kevin Zhou, Jianwen Xie, Alan Yuille, Jieneng Chen.

NeurIPS, Evaluations & Datasets (E&D) Track, 2026.

Paper | HuggingFace Dataset

Combo-Gait: Unified Transformer Framework for Multi-Modal Gait Recognition and Attribute Analysis.

Zhao-Yang Wang, Zhimin Shao, Jieneng Chen, Rama Chellappa.

IJCB, 2026.

Paper

Mesh-Gait: A Unified Framework for Gait Recognition Through Multi-Modal Representation Learning from 2D Silhouettes.

Zhao-Yang Wang, Jieneng Chen, Jiang Liu, Yuxiang Guo, Rama Chellappa.

FG, 2026, oral ( Top-Ranked Submission).

Paper

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning.

Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen.

ICCV, 2025.

Envision precision medicine via generative world modeling.

Paper | Code | Project

UniGait: A Unified Transformer-based Multitask Framework for Gait Analysis in the Wild.

Zhao-Yang Wang, Jiang Liu, Yuxiang Guo, Jieneng Chen, Rama Chellappa.

FG, 2025.

Paper

VM-Gait: Multi-Modal 3D Representation Based on Virtual Marker for Gait Recognition.

Zhao-Yang Wang, Jiang Liu, Jieneng Chen, Rama Chellappa.

WACV, 2025.

Paper

LLaVolta: Efficient Large Multi-modal Models via Visual Context Compression.
Jieneng Chen, Luoxin Ye, Ju He, Zhaoyang Wang, Daniel Khashabi, Alan Yuille.

NeurIPS, 2024.
Paper | Code | Project
HyperGait: A Video-based Multitask Network for Gait Recognition and Human Attribute.

Zhao-Yang Wang, Jiang Liu, Ram Prabhakar Kathirvel, Chun Pong Lau, Rama Chellappa.

IJCB, 2024.

Paper

Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle.

Zhao-Yang Wang*, Xiao-Yun Zhou*, Peichao Li, Celia Theodoreli-Riga, Guang-Zhong Yang.

MICCAI, 2020.

Paper

One-Stage Shape Instantiation from a Single 2D Image to 3D Point Cloud.

Xiao-Yun Zhou*, Zhao-Yang Wang*, Peichao Li, Jian-Qing Zheng, Guang-Zhong Yang.

MICCAI, 2019.

Paper

Teaching
  • TA course Machine Perception EN.520.665.01, at JHU in FA22.
Service
  • Invited reviewers: CVPR, ICCV, ECCV, WACV, NeurIPS, ICML, ICLR, AAAI, TPAMI, FG and MICCAI.
  • Workshop co-organizer for ICCV 2025 Embodied Spatial Reasoning.