Kai Yi

68 papers A* 10A 2B 3C 1Misc 1Journal 42Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis.
CoRR
Di Zhang, Zhangpeng Gong, Xiaobo Pang, Jiashuai Liu, Junbo Lu, Hao Cui, Jiusong Ge, Zhi Zeng, Kai Yi, Yinghua Li, Si Liu, Tingsong Yu, Haoran Wang, Mireia Crispin-Ortuzar, Eimiao Yu, Chen Li, Zeyu Gao
2025 J jnl
A Lightweight Convolution and Vision Transformer integrated model with Multi-scale Self-attention Mechanism.
CoRR
Yi Zhang, Lingxiao Wei, Bowei Zhang, Ziwei Liu, Kai Yi, Shu Hu
2025 J jnl
A lightweight convolution and vision transformer integrated model with multi-scale self-attention mechanism.
Neurocomputing
Yi Zhang, Lingxiao Wei, Bowei Zhang, Ziwei Liu, Kai Yi, Shu Hu
2025 A* conf
All-atom inverse protein folding through discrete flow matching.
ICML
Kai Yi, Kiarash Jamali, Sjors H. W. Scheres
2025 J jnl
All-atom inverse protein folding through discrete flow matching.
CoRR
Kai Yi, Kiarash Jamali, Sjors H. W. Scheres
2025 J jnl
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning.
Trans. Mach. Learn. Res.
Kai Yi, Laurent Condat, Peter Richtárik
2025 J jnl
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models.
Trans. Mach. Learn. Res.
Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik
2025 J jnl
How Particle System Theory Enhances Hypergraph Message Passing.
CoRR
Yixuan Ma, Kai Yi, Pietro Lio, Shi Jin, Yu Guang Wang
2025 A* conf
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects.
CVPR
Lei Fan, Dongdong Fan, Zhiguang Hu, Yiwen Ding, Donglin Di, Kai Yi, Maurice Pagnucco, Yang Song
2025 J jnl
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization.
CoRR
Kai Yi
2025 J jnl
Symmetric Pruning of Large Language Models.
CoRR
Kai Yi, Peter Richtárik
2024 — conf
A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number.
BIBM
Xiaozhu Yu, Kai Yi, Yu Guang Wang, Yiqing Shen
2024 J jnl
A Self-Supervised Few-Shot Semantic Segmentation Method Based on Multi-Task Learning and Dense Attention Computation.
Sensors
Kai Yi, Weihang Wang, Yi Zhang
2024 J jnl
AB C MB : deep delensing assisted likelihood-free inference from CMB polarization maps.
Mach. Learn. Sci. Technol.
Kai Yi, Yanan Fan, Jan Hamann, Pietro Liò, Yu Guang Wang
2024 — conf
Carbon Emissions Prediction Method for Gear Hobbing Based on Federated Learning with Multi-Source Data Cooperative Training.
CASE
Yan Xu, Qian Yi, Kai Yi, Congbo Li, Shuping Yi
2024 J jnl
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning.
CoRR
Kai Yi, Timur Kharisov, Igor Sokolov, Peter Richtárik
2024 J jnl
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model.
CoRR
Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen
2024 A conf
Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model.
ICME
Yizhu Wen, Yiwei Wang, Kai Yi, Jing Ke, Yiqing Shen
2024 J jnl
Estimating Large Global Significances with a New Monte Carlo Extrapolation Method.
Symmetry
Liangliang Chen, Yufei Chen, Gerry Bauer, Leonard G. Spiegel, Zhen Hu, Kai Yi
2024 J jnl
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models.
CoRR
Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik
2024 A* conf
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity.
ICLR
Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu
2024 J jnl
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity.
CoRR
Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu
2024 J jnl
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects.
CoRR
Lei Fan, Dongdong Fan, Zhiguang Hu, Yiwen Ding, Donglin Di, Kai Yi, Maurice Pagnucco, Yang Song
2024 A* conf
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression.
NeurIPS
Vladimir Malinovskii, Denis Mazur, Ivan Ilin, Denis Kuznedelev, Konstantin Burlachenko, Kai Yi, Dan Alistarh, Peter Richtárik
2024 J jnl
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression.
CoRR
Vladimir Malinovskii, Denis Mazur, Ivan Ilin, Denis Kuznedelev, Konstantin Burlachenko, Kai Yi, Dan Alistarh, Peter Richtárik
2024 J jnl
Protein Engineering with Lightweight Graph Denoising Neural Networks.
J. Chem. Inf. Model.
Bingxin Zhou, Lirong Zheng, Banghao Wu, Yang Tan, Outongyi Lv, Kai Yi, Guisheng Fan, Liang Hong
2024 J jnl
Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning.
CoRR
Georg Meinhardt, Kai Yi, Laurent Condat, Peter Richtárik
2024 — conf
QPDet: Queuing People Detector for Aerial Images Based on Adaptive Soft Label Assignment Strategy.
ICPR (5)
Yi Zhang, Yi Su, Siying Li, Kai Yi
2024 J jnl
Score-matching-based Structure Learning for Temporal Data on Networks.
CoRR
Hao Chen, Kai Yi, Lin Liu, Yu Guang Wang
2024 — conf
TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset.
ICPR (4)
Yi Zhang, Bowei Zhang, Kai Yi
2023 A* conf
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks.
ICLR
Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
2023 J jnl
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks.
CoRR
Bingxin Zhou, Outongyi Lv, Kai Yi, Xinye Xiong, Pan Tan, Liang Hong, Yu Guang Wang
2023 — conf
Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems.
ICC
Xiongwen Ke, Houying Zhu, Kai Yi, Gaoning He, Ganghua Yang, Yu Guang Wang
2023 — conf
An Efficient Medical Image Fusion via Online Convolutional Sparse Coding with Sample-Dependent Dictionary.
ICIG (5)
Chengfang Zhang, Ziliang Feng, Chao Zhang, Kai Yi
2023 A* conf
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks.
ICCV
Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny
2023 J jnl
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks.
CoRR
Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny
2023 J jnl
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning.
CoRR
Kai Yi, Laurent Condat, Peter Richtárik
2023 A* conf
Graph Denoising Diffusion for Inverse Protein Folding.
NeurIPS
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
2023 J jnl
Graph Denoising Diffusion for Inverse Protein Folding.
CoRR
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
2022 J jnl
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition.
CoRR
Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
2022 — conf
APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION.
TAG-ML
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
2022 J jnl
Approximate Equivariance SO(3) Needlet Convolution.
CoRR
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
2022 C conf
Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms.
ICCC
Divyansh Jha, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny
2022 A* conf
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization.
NeurIPS
Laurent Condat, Kai Yi, Peter Richtárik
2022 J jnl
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization.
CoRR
Laurent Condat, Kai Yi, Peter Richtárik
2022 — conf
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification.
ECCV (20)
Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny
2022 J jnl
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification.
CoRR
Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny
2022 A* conf
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning.
NeurIPS
Grigory Malinovsky, Kai Yi, Peter Richtárik
2022 J jnl
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning.
CoRR
Grigory Malinovsky, Kai Yi, Peter Richtárik
2022 A* conf
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning.
CVPR
Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny
2021 J jnl
A Wideband CMOS Frequency Quadrupler With Transformer-Based Tail Feedback Loop.
IEEE Trans. Circuits Syst. II Express Briefs
Yiming Yu, Pan Tang, Kai Yi, Chenxi Zhao, Huihua Liu, Yunqiu Wu, Wen-Yan Yin, Kai Kang
2021 J jnl
CIZSL++: Creativity Inspired Generative Zero-Shot Learning.
CoRR
Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki
2021 J jnl
Disentangling semantic features of macromolecules in Cryo-Electron Tomography.
CoRR
Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu
2021 J jnl
Domain-Aware Continual Zero-Shot Learning.
CoRR
Kai Yi, Mohamed Elhoseiny
2021 J jnl
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation.
CoRR
Mohamed Elhoseiny, Divyansh Jha, Kai Yi, Ivan Skorokhodov
2021 B conf
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography.
ICIP
Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu
2021 J jnl
VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining.
CoRR
Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny
2020 B conf
Cosmo VAE: Variational Autoencoder for CMB Image Inpainting.
IJCNN
Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang
2020 J jnl
CosmoVAE: Variational Autoencoder for CMB Image Inpainting.
CoRR
Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yuguang Wang
2020 B conf
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus.
IJCNN
Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You
2020 J jnl
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus.
CoRR
Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You
2020 J jnl
Experimental Analysis of Legendre Decomposition in Machine Learning.
CoRR
Jianye Pang, Kai Yi, Wanguang Yin, Min Xu
2020 J jnl
Fast and Unbiased Estimation of Volume Under Ordered Three-Class ROC Surface (VUS) With Continuous or Discrete Measurements.
IEEE Access
Shun Liu, Hongbin Zhu, Kai Yi, Xu Sun, Weichao Xu, Chao Wang
2018 — conf
Affine LBG for Codebook Training of Univariate Linear Representation.
GlobalSIP
Tiannan Dong, Jianji Wang, Meng Yang, Kai Yi, Nanning Zheng
2018 Misc conf
Cognition-Based Deep Learning: Progresses and Perspectives.
AIAI
Kai Yi, Shi-tao Chen, Yu Chen, Chao Xia, Nanning Zheng
2018 J jnl
Knowledge-based Recurrent Attentive Neural Network for Traffic Sign Detection.
CoRR
Kai Yi, Zhiqiang Jian, Shi-tao Chen, Yu Chen, Nanning Zheng
2015 J jnl
A Q-band CMOS LNA exploiting transformer feedback and noise-cancelling.
Sci. China Inf. Sci.
Jing Wu, Zhengdong Jiang, Kai Yi, Kai Kang, Yiming Yu, Jixin Chen, Lei Zhang, Jun Liu, Le-Wei Joshua Li
2008 A conf
Characterizing and predicting community members from evolutionary and heterogeneous networks.
CIKM
Qiankun Zhao, Sourav S. Bhowmick, Xin Zheng, Kai Yi