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Mengyao Lyu

I am a Ph.D. candidate in School of Software, Tsinghua University, advised by Prof. Guiguang Ding. Recently my research focuses on building active learning algorithms to enable human-machine interaction and facilatate efficient learning.

PROJECTS 🙋🏻

Box-Level Active Detection
Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding
CVPR, 2023 (Highlight, 2.5% acceptance rate)

One-dimensional Adapter to Rule Them All
Mengyao Lyu*, Yuhong Yang*, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding
CVPR, 2024

EXPERIENCE

  • 2021.06 ~ present

    OPPO Research (Tsinghua-OPPO JCFDT)

    Research intern for Intelligent Perception and Interaction
    • Proposed and implemented an active learning algorithm for object detection to improve data and training efficiency.
    • Reimplemented 10+ active detection baselines and SOTAs for a fair evaluation.
    • Achieved SOTA results on two pulic benchmarks and on OPPO private datasets.

  • 2018.07 ~ 2018.08

    Horizon Robotics

    Research intern for ADAS perception
    • Developed conditional generative adversarial networks to synthesize data for different road signs.
    • Achieved a 44% improvement in the accuracy of the road sign classification task.