Yanzhe Chen (陈彦哲)

Yanzhe Chen (陈彦哲)

Postgraduate of Computer Science

Yanzhe Chen (陈彦哲)

Biography

I am a second-year master’s student, set to graduate in the summer of 2025, from Academy for Advanced Interdisciplinary Studies (AAIS), Peking University.

I am very fortunate to be advised by Prof. Yuxin Peng of MIPL Lab from Wangxuan Institute of Computer Technology, Peking University.

My current research mainly focuses on multi-modal representation and generation, particularly video-to-image retrieval, multi-modal fusion retrieval, and virtual try-on generation. These works have been published in AAAI’24, ACM MM’23, and TOMM’24, with a paper currently under review at NeurIPS’24.

During my Ph.D., my research interests include video understanding, multi-modal, and AIGC. I am particularly interested in exploring efficient modality aggregation, optimized model architectures, and close integration with real-world scenarios, which I believe are essential technological foundations for a universal AI assistant.

You can find my CV here: Yanzhe Chen’s Curriculum Vitae.

Experience

  • Postgraduate Student PKU Logo
    MIPL Lab, Peking University (PKU)
    August 2022 - July 2025
    Mainly focusing on multimodal retrieval and generation, particularly video-to-image retrieval, multi-modal fusion retrieval, and virtual try-on generation. Relevant work has been published in AAAI, ACM MM, and TOMM.
    Advisor: Yuxin Peng

  • Intern Kwai Logo
    Multimedia Understanding Team (MMU), Kwai Technology
    December 2022 - June 2025
    Undertaking independently a collaborative project with Kuaishou Technology, focusing on fine-grained product retrieval in short videos, applied within Kuaishou app’s search/recommendation scenarios , significantly boosting Gross Merchandise Volume (GMV).
    Mentor: Huasong Zhong and Lele Cheng

  • Undergraduate Student WHU Logo
    Wuhan University (WHU)
    August 2018 - July 2022
    GPA: 3.96/4.0, ranked 1st out of 272 in Computer Science and Technology. Focused on medical image analysis, awarded Wuhan University Outstanding Thesis.
    Advisor: Dengyi Zhang

Selected Awards

  • China National Scholarship, 2020

  • Champion of the Disaster Scene Description and Indexing Task at TREC 2022

  • Wuhan University Outstanding Thesis and Wuhan University Outstanding Graduate honors, 2022