Kai Yi

Orcid: 0000-0003-0415-3584

According to our database¹, Kai Yi authored at least 43 papers between 2008 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

A Self-Supervised Few-Shot Semantic Segmentation Method Based on Multi-Task Learning and Dense Attention Computation.

[BibT_eX]

[DOI]

Kai Yi

Weihang Wang

Yi Zhang

Sensors, August, 2024

Protein Engineering with Lightweight Graph Denoising Neural Networks.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression.

[BibT_eX]

[DOI]

Konstantin Burlachenko

Kai Yi

Dan Alistarh

Peter Richtárik

CoRR, 2024

DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model.

[BibT_eX]

[DOI]

CoRR, 2024

FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models.

[BibT_eX]

[DOI]

CoRR, 2024

TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset.

[BibT_eX]

[DOI]

Yi Zhang

Bowei Zhang

Kai Yi

Proceedings of the Pattern Recognition - 27th International Conference, 2024

QPDet: Queuing People Detector for Aerial Images Based on Adaptive Soft Label Assignment Strategy.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Carbon Emissions Prediction Method for Gear Hobbing Based on Federated Learning with Multi-Source Data Cooperative Training.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning.

[BibT_eX]

[DOI]

Kai Yi

Laurent Condat

Peter Richtárik

CoRR, 2023

Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Denoising Diffusion for Inverse Protein Folding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Efficient Medical Image Fusion via Online Convolutional Sparse Coding with Sample-Dependent Dictionary.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 12th International Conference, 2023

Continual Zero-Shot Learning through Semantically Guided Generative Random Walks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

2022

ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition.

[BibT_eX]

[DOI]

CoRR, 2022

APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning.

[BibT_eX]

[DOI]

Grigory Malinovsky

Kai Yi

Peter Richtárik

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization.

[BibT_eX]

[DOI]

Laurent Condat

Kai Yi

Peter Richtárik

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Wideband CMOS Frequency Quadrupler With Transformer-Based Tail Feedback Loop.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Domain-Aware Continual Zero-Shot Learning.

[BibT_eX]

[DOI]

Kai Yi

Mohamed Elhoseiny

CoRR, 2021

Disentangling semantic features of macromolecules in Cryo-Electron Tomography.

[BibT_eX]

[DOI]

CoRR, 2021

Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation.

[BibT_eX]

[DOI]

CoRR, 2021

VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining.

[BibT_eX]

[DOI]

CoRR, 2021

CIZSL++: Creativity Inspired Generative Zero-Shot Learning.

[BibT_eX]

[DOI]

Mohamed Elhoseiny

Kai Yi

Mohamed Elfeki

CoRR, 2021

Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Experimental Analysis of Legendre Decomposition in Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

CosmoVAE: Variational Autoencoder for CMB Image Inpainting.

[BibT_eX]

[DOI]

CoRR, 2020

Fast and Unbiased Estimation of Volume Under Ordered Three-Class ROC Surface (VUS) With Continuous or Discrete Measurements.

[BibT_eX]

[DOI]

IEEE Access, 2020

Cosmo VAE: Variational Autoencoder for CMB Image Inpainting.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Knowledge-based Recurrent Attentive Neural Network for Traffic Sign Detection.

[BibT_eX]

[DOI]

CoRR, 2018

Cognition-Based Deep Learning: Progresses and Perspectives.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Affine LBG for Codebook Training of Univariate Linear Representation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2015

A Q-band CMOS LNA exploiting transformer feedback and noise-cancelling.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2015

2008

Characterizing and predicting community members from evolutionary and heterogeneous networks.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Kai Yi

Timeline

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On csauthors.net:

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