Publications

2023

• Domain-Aware Continual Zero-Shot Learning
  Kai Yi, Mohamed Elhoseiny
  ICCV Workshop OOD-CV, 2023. [paper] [project]

• Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
  Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny
  ICCV, 2023. [paper] [code]

• Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning
  Kai Yi, Laurent Condat, Peter Richtárik
  arXiv, 2023. [paper] [code]

2022

• Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
  Grigory Malinovsky, Kai Yi, Peter Richtárik
  NeurIPS, 2022. [paper]

• Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
  Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny
  ECCV, 2022. [paper] [project] [code]

• EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
  Laurent Condat, Kai Yi, Peter Richtárik
  NeurIPS, 2022. [paper]

• Language-Guided Imaginative Walks: Generative Random Walk Deviation Loss for Unseen Class Recognition using Text
  Kai Yi, Divyansh Jha, Ivan Skorokhodov, Mohamed Elhoseiny
  CVPR, 2022, L3D-IVU Workshop (Short Paper). [paper]

• Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms
  Divyansh Jha*, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny*
  ICCC, 2022. [project page] [paper] [code]

• VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining
  Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny
  CVPR, 2022. [arXiv] [CVF] [code]

• CIZSL++: Creativity Inspired Generative Zero-Shot Learning
  Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki
  T-PAMI Major Revision. [paper] [code].

2021

• Domain-Aware Continual Zero-Shot Learning
  Kai Yi
  Master Thesis, 2021. [thesis]

• Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation
  Divyansh Jha*, Kai Yi*, Ivan Skorokhodov, Mohamed Elhoseiny
  arXiv, 2021. [project page] [paper] [code]

• Disentangling semantic features of macromolecules in Cryo-Electron Tomography
  Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu
  arXiv, 2021. [paper]

• Unsupervised Domain Alignment based Open Set Structural Recognition of Macromolecules Captured by Cryo-Electron Tomography
  Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu
  ICIP 2021. [paper]

2020 and before

• Experimental Analysis of Legendre Decomposition in Machine Learning
  Jianye Pang, Kai Yi, Wanguang Yin, Min Xu
  Technical Report, 2020. [arXiv]

• Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network
  Kai Yi, Zhiqiang Jian, Shitao Chen, Nanning Zheng
  Technical Report, 2019. [paper]

• Affine LBG for Codebook Training of Univariate Linear Approximation
  Tiannan Dong, Jianji Wang, Meng Yang, Yi Kai, Nanning Zheng
  GlobalSIP, 2018. [paper]

• Cognition-Based Deep Learning: Progresses and Perspectives
  Kai Yi, Shitao Chen, Yu Chen, Chao Xia, Nanning Zheng
  AIAI, 2018. [paper]