About me

Hi there đź‘‹ My name is Wanrong (Zoey) Zheng [CV].

I am a first-year Ph.D. student in Computer Science at the University of Southern Califonia, advised by Prof. Laurent Itti. Previously, I have the privilege of working at the USC IRIS Computer Vision Lab, advised by Prof. Ram Nevatia. Before USC, I was working in SenseTime as fulltime research engineer (2019-2021), advised by Dr. Xiaoke Jiang and Dr. Yichao Wu.

My research interests lie in computer vision and deep learning, especially include Data-centric and Human-centric AI. My long-term research goal is to build a data-driven AI system that: (1) recognizes and represents scenes effectively, (2) is adaptive to multi-modalities (vision, language, spatial information, etc.), (3) can be reconstructed, understood, and corrected by humans.

Specifically, my current research focuses include:

  • Multi-modal Perception: Exploring the synergistic effects of diverse data for enhanced machine understanding, such as applications in Large Multimodal Models (LMMs) and Large Language Models (LLMs);
  • Explainable Artificial Intelligence: Transparent and effective human-in-the-loop learning.

Publications

  • GaitSTR: Gait Recognition with Sequential Two-stream Refinement
    Wanrong Zheng*, Haidong Zhu*, Zhaoheng Zheng, and Ram Nevatia
    IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2024 [Paper] [Code]

  • ShARc: Shape and Appearance Recognition for Person Identification In-the-wild
    Haidong Zhu, Wanrong Zheng, Zhaoheng Zheng, and Ram Nevatia
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 [Paper] [Poster] [Slides]

  • GaitRef: Gait Recognition with Refined Sequential Skeletons
    Haidong Zhu*, Wanrong Zheng*, Zhaoheng Zheng, and Ram Nevatia
    IEEE International Joint Conference on Biometrics (IJCB), 2023 Oral [Paper] [Code] [Project] [Poster] [Slides]

  • CAT-NeRF: Constancy-Aware Tx2Former for Dynamic Body Modeling
    Haidong Zhu, Zhaoheng Zheng, Wanrong Zheng, and Ram Nevatia
    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 [Paper] [Code] [Supp]

  • SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification
    Xiaoke Jiang, Yu Qiao, Junjie Yan, Qichen Li, Wanrong Zheng, and Dapeng Chen
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021 [Paper] [Supp] [Poster] [Slides]

Research Experience

iLab, USC, Los Angeles, CA
Research Assistant. Jan. 2022 – Present
Advisor: Prof. Laurent Itti

IRIS Computer Vision Lab, USC, Los Angeles, CA
Research Assistant. Jan. 2022 – May. 2024
Advisor: Prof. Ram Nevatia

Research Center, SenseTime, China
Research Engineer. Sep. 2019 – Aug. 2021
Advisor: Dr. Xiaoke Jiang and Dr. Yichao Wu

Shenzhen Institue of advanced technology, Chinese Academy of Sciences, China
Research Assistant. Jul. 2018 – Jun. 2019
Advisor: Dr. Qiong Wang

Shenzhen Research Institute, the Chinese University of Hong Kong, China
Research Intern. Dec. 2017 – Jun. 2018

Awards

  • Nov. 2017: National Endeavor Scholarship (top 1% Undergraduate Students of China).

Patents

  • A Identification method Based on History Passenger Flow Big Data.
    Wanrong Zheng, and Xiaoke Jiang. CN113269129A (2021)

  • Passenger Illegal Handing Bags Across Railing Detection in Real Railway Scene.
    Sun Zhe, Wanrong Zheng, Xiaoke Jiang, Xinghua Yao, and Cong Ji. CN112818844A (2021)

  • A Railway Face Recognition Solution Based on History Passengers’ Riding Pattern.
    Wanrong Zheng, Xiaoke Jiang, Jikui Bao, Qichen Li, and Cong Ji. CN112232424A (2020)