Kai Yi

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 45

Top Topics

Monte Carlo Methods

Image Inpainting

Top Venues

Publications

Kai Yi, Timur Kharisov, Igor Sokolov, Peter Richtárik
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning. CoRR (2024)
Vladimir Malinovskii, Denis Mazur, Ivan Ilin, Denis Kuznedelev, Konstantin Burlachenko, Kai Yi, Dan Alistarh, Peter Richtárik
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression. CoRR (2024)
Kai Yi, Weihang Wang, Yi Zhang
A Self-Supervised Few-Shot Semantic Segmentation Method Based on Multi-Task Learning and Dense Attention Computation. Sensors 24 (15) (2024)
Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models. CoRR (2024)
Georg Meinhardt, Kai Yi, Laurent Condat, Peter Richtárik
Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning. CoRR (2024)
Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. CoRR (2024)
Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. ICLR (2024)
Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. CoRR (2024)
Bingxin Zhou, Lirong Zheng, Banghao Wu, Yang Tan, Outongyi Lv, Kai Yi, Guisheng Fan, Liang Hong
Protein Engineering with Lightweight Graph Denoising Neural Networks. J. Chem. Inf. Model. 64 (9) (2024)
Chengfang Zhang, Ziliang Feng, Chao Zhang, Kai Yi
An Efficient Medical Image Fusion via Online Convolutional Sparse Coding with Sample-Dependent Dictionary. ICIG (5) (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS (2023)
Bingxin Zhou, Outongyi Lv, Kai Yi, Xinye Xiong, Pan Tan, Liang Hong, Yu Guang Wang
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. CoRR (2023)
Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. ICCV (2023)
Kai Yi, Laurent Condat, Peter Richtárik
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. CoRR (2023)
Xiongwen Ke, Houying Zhu, Kai Yi, Gaoning He, Ganghua Yang, Yu Guang Wang
Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems. ICC (2023)
Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks. ICLR (2023)
Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. CoRR (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
Graph Denoising Diffusion for Inverse Protein Folding. CoRR (2023)
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
Approximate Equivariance SO(3) Needlet Convolution. CoRR (2022)
Grigory Malinovsky, Kai Yi, Peter Richtárik
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. NeurIPS (2022)
Laurent Condat, Kai Yi, Peter Richtárik
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. CoRR (2022)
Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV (20) (2022)
Divyansh Jha, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny
Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms. ICCC (2022)
Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. CVPR (2022)
Grigory Malinovsky, Kai Yi, Peter Richtárik
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. CoRR (2022)
Laurent Condat, Kai Yi, Peter Richtárik
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS (2022)
Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. CoRR (2022)
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION. TAG-ML (2022)
Yuelin Wang, Kai Yi, Xinliang Liu, Yuguang Wang, Shi Jin
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition. CoRR (2022)
Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki
CIZSL++: Creativity Inspired Generative Zero-Shot Learning. CoRR (2021)
Kai Yi, Mohamed Elhoseiny
Domain-Aware Continual Zero-Shot Learning. CoRR (2021)
Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography. ICIP (2021)
Mohamed Elhoseiny, Divyansh Jha, Kai Yi, Ivan Skorokhodov
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation. CoRR (2021)
Yiming Yu, Pan Tang, Kai Yi, Chenxi Zhao, Huihua Liu, Yunqiu Wu, Wen-Yan Yin, Kai Kang
A Wideband CMOS Frequency Quadrupler With Transformer-Based Tail Feedback Loop. IEEE Trans. Circuits Syst. II Express Briefs 68 (4) (2021)
Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu
Disentangling semantic features of macromolecules in Cryo-Electron Tomography. CoRR (2021)
Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny
VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining. CoRR (2021)
Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. IJCNN (2020)
Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. CoRR (2020)
Jianye Pang, Kai Yi, Wanguang Yin, Min Xu
Experimental Analysis of Legendre Decomposition in Machine Learning. CoRR (2020)
Shun Liu, Hongbin Zhu, Kai Yi, Xu Sun, Weichao Xu, Chao Wang
Fast and Unbiased Estimation of Volume Under Ordered Three-Class ROC Surface (VUS) With Continuous or Discrete Measurements. IEEE Access 8 (2020)
Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang
Cosmo VAE: Variational Autoencoder for CMB Image Inpainting. IJCNN (2020)
Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yuguang Wang
CosmoVAE: Variational Autoencoder for CMB Image Inpainting. CoRR (2020)
Tiannan Dong, Jianji Wang, Meng Yang, Kai Yi, Nanning Zheng
Affine LBG for Codebook Training of Univariate Linear Representation. GlobalSIP (2018)
Kai Yi, Zhiqiang Jian, Shi-tao Chen, Yu Chen, Nanning Zheng
Knowledge-based Recurrent Attentive Neural Network for Traffic Sign Detection. CoRR (2018)
Kai Yi, Shi-tao Chen, Yu Chen, Chao Xia, Nanning Zheng
Cognition-Based Deep Learning: Progresses and Perspectives. AIAI (2018)
Jing Wu, Zhengdong Jiang, Kai Yi, Kai Kang, Yiming Yu, Jixin Chen, Lei Zhang, Jun Liu, Le-Wei Joshua Li
A Q-band CMOS LNA exploiting transformer feedback and noise-cancelling. Sci. China Inf. Sci. 58 (4) (2015)
Qiankun Zhao, Sourav S. Bhowmick, Xin Zheng, Kai Yi
Characterizing and predicting community members from evolutionary and heterogeneous networks. CIKM (2008)