๐Ÿ‘‹ Zhengzhuo Xu


My research interests ๐Ÿ”Ž are in Computer Vision, including but not limited to imbalanced data learning / masked image modeling / multi-modality. Contact me via โœ‰๏ธ xzzthu@gmail.com.

Research Intern ๐Ÿ’ผ

  • 2022.11 - Now
    IDEA supervised by Dr. Haiqin Yang and focus on Long-Tailed Recognition and Unsupervised Visual Pretraining.
  • 2021.07 - 2022.07
    Tencent AI lab supervised by Dr. Linchao Bao and focus on 3D Reconstruction / Style Transfer.
  • 2019.12 - 2020.06
    Ping An Tech supervised by Dr. Haiqin Yang and focus on Data Mining.

Education ๐ŸŽ“

  • 2016.09 - 2020.06
  • Receive the Bachelor degree of Electrical Engineering in Qiming College, EIC, HUST.
    Weighted score: 88.84/100 (Top 3%)

Publication ๐Ÿ“„

  • Towards Effective Collaborative Learning in Long-Tailed Recognition
    Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang
    Arxiv preprint. Arxiv PDF

  • Learning Imbalanced Data with Vision Transformers
    Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan
    CVPR, 2023. Arxiv Code PDF Poster

  • Rethink Long-tailed Recognition with Vision Transformers
    Zhengzhuo Xu*, Shuo Yang*, Xingjun Wang, Chun Yuan
    ICASSP๏ผŒ2023. Arxiv Code PDF
  • HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
    Chengyin Xu*, Zhengzhuo Xu*, Zenghao Chai*, Hongjia Li, Qiruyi Zuo, Lingyu Yang, Chun Yuan
    IEEE TMM. Arxiv IEEE Code PDF
  • REALY: Rethinking the Evaluation of 3D Face Reconstruction
    Zenghao Chai*, Haoxian Zhang*, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao
    ECCV, 2022. Arxiv Page Code PDF
  • Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization
    Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan
    ECCV, 2022. Arxiv Code PDF
  • HyP2 Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval
    Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Chun Yuan, Yanbo Fan, Jue Wang
    ACM MM, 2022. Arxiv Code PDF
  • CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning
    Zenghao Chai, Zhengzhuo Xu, Yunpeng Bai, Zhihui Lin, Chun Yuan
    ICME, 2022. Arxiv Code PDF
  • MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning
    Zenghao Chai, Zhengzhuo Xu, Chun Yuan
    ICASSP, 2022. Arxiv Code PDF
  • Backscatter-assisted computation offloading for energy harvesting IoT devices via policy-based deep reinforcement learning
    Yutong Xie, Zhengzhuo Xu, Yuxing Zhong, Jing Xu, Shimin Gong, Yi Wang
    IEEE/CIC ICCC Workshops, 2019. IEEE PDF
  • Backscatter-assisted hybrid relaying strategy for wireless powered IoT communications
    Yutong Xie, Zhengzhuo Xu, Shimin Gong, Jing Xu, Dinh Thai Hoang, Dusit Niyato
  • Backscatter-aided hybrid data offloading for mobile edge computing via deep reinforcement learning
    Yutong Xie, Zhengzhuo Xu, Jing Xu, Shimin Gong, Yi Wang
    MLICOM, 2019. Springer

Patent ๐Ÿงพ

  • Retrieval Method, Device and Equipment and Computer Readable Storage Medium.
    Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Yanbo Fan.
    Invention patent, CN115146143A.

  • A Lightweight Fine-grained Spatiotemporal Predictive Method and System.
    Chun Yuan, Zenghao Chai, Zhengzhuo Xu.
    Invention patent, CN114445463A.

  • A Method for Obtaining Interpretability Parameters of Deep Learning Models.
    Zhengzhuo Xu, Haiqin Yang.
    Invention patent, CN112052957A.

Awards ๐ŸŒŸ

  • Tsinghua Friend JiuJiang Scholarship (TOP 5%)
  • Excellent Students of QiMing College (best honor of HUST, TOP 1%)
  • HaiHang Scholarship (TOP 1%)
  • Outstanding Undergraduate Graduates of HUST (TOP 5%)
  • First Class Scholarship of HUST (3 times, TOP 10%)
  • New Student Scholarship of HUST (TOP 30%)