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Kai Yi
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2020 – today
- 2024
- [j5]Bingxin Zhou, Lirong Zheng
, Banghao Wu, Yang Tan
Protein Engineering with Lightweight Graph Denoising Neural Networks. J. Chem. Inf. Model. 64(9): 3650-3661 (2024) - [j4]Kai Yi, Weihang Wang
A Self-Supervised Few-Shot Semantic Segmentation Method Based on Multi-Task Learning and Dense Attention Computation. Sensors 24(15): 4975 (2024) - [c20]Yan Xu, Qian Yi, Kai Yi, Congbo Li, Shuping Yi:
Carbon Emissions Prediction Method for Gear Hobbing Based on Federated Learning with Multi-Source Data Cooperative Training. CASE 2024: 3460-3465 - [c19]Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu:
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. ICLR 2024 - [c18]Yizhu Wen, Yiwei Wang, Kai Yi, Jing Ke, Yiqing Shen:
Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model. ICME 2024: 1-6 - [i24]Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik:
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models. CoRR abs/2403.09904 (2024) - [i23]Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen:
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. CoRR abs/2403.13863 (2024) - [i22]Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu:
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. CoRR abs/2404.09816 (2024) - [i21]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 abs/2405.14852 (2024) - [i20]Georg Meinhardt, Kai Yi, Laurent Condat, Peter Richtárik:
Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning. CoRR abs/2405.20623 (2024) - [i19]Kai Yi, Timur Kharisov, Igor Sokolov
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning. CoRR abs/2406.01115 (2024) - 2023
- [c17]Xiongwen Ke, Houying Zhu
Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems. ICC 2023: 5272-5278 - [c16]Wenxuan Zhang, Paul Janson, Kai Yi
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. ICCV 2023: 11540-11551 - [c15]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: 3-13 - [c14]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 - [c13]Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang:
Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS 2023 - [i18]Bingxin Zhou
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. CoRR abs/2304.08299 (2023) - [i17]Kai Yi, Laurent Condat, Peter Richtárik:
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. CoRR abs/2305.13170 (2023) - [i16]Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang:
Graph Denoising Diffusion for Inverse Protein Folding. CoRR abs/2306.16819 (2023) - [i15]Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny:
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. CoRR abs/2308.12366 (2023) - 2022
- [c12]Jun Chen, Han Guo, Kai Yi
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. CVPR 2022: 18009-18019 - [c11]Kai Yi
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV (20) 2022: 116-132 - [c10]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: 195-204 - [c9]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 - [c8]Grigory Malinovsky, Kai Yi, Peter Richtárik:
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. NeurIPS 2022 - [c7]Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann:
APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION. TAG-ML 2022: 189-198 - [i14]Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny:
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. CoRR abs/2203.01386 (2022) - [i13]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 abs/2205.04180 (2022) - [i12]Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin:
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition. CoRR abs/2206.05437 (2022) - [i11]Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou
Approximate Equivariance SO(3) Needlet Convolution. CoRR abs/2206.10385 (2022) - [i10]Grigory Malinovsky
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. CoRR abs/2207.04338 (2022) - 2021
- [j3]Yiming Yu, Pan Tang, Kai Yi, Chenxi Zhao
A Wideband CMOS Frequency Quadrupler With Transformer-Based Tail Feedback Loop. IEEE Trans. Circuits Syst. II Express Briefs 68(4): 1153-1157 (2021) - [c6]Yuchen Zeng, Gregory Howe, Kai Yi
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography. ICIP 2021: 106-110 - [i9]Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki:
CIZSL++: Creativity Inspired Generative Zero-Shot Learning. CoRR abs/2101.00173 (2021) - [i8]Jun Chen
VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining. CoRR abs/2102.10407 (2021) - [i7]Mohamed Elhoseiny
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation. CoRR abs/2104.09757 (2021) - [i6]Kai Yi
Disentangling semantic features of macromolecules in Cryo-Electron Tomography. CoRR abs/2106.14192 (2021) - [i5]Kai Yi
Domain-Aware Continual Zero-Shot Learning. CoRR abs/2112.12989 (2021) - 2020
- [j2]Shun Liu
Fast and Unbiased Estimation of Volume Under Ordered Three-Class ROC Surface (VUS) With Continuous or Discrete Measurements. IEEE Access 8: 136206-136222 (2020) - [c5]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: 1-7 - [c4]Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang:
Cosmo VAE: Variational Autoencoder for CMB Image Inpainting. IJCNN 2020: 1-7 - [i4]Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yuguang Wang
CosmoVAE: Variational Autoencoder for CMB Image Inpainting. CoRR abs/2001.11651 (2020) - [i3]Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. CoRR abs/2001.11653 (2020) - [i2]Jianye Pang, Kai Yi
Experimental Analysis of Legendre Decomposition in Machine Learning. CoRR abs/2008.05095 (2020)
2010 – 2019
- 2018
- [c3]Tiannan Dong, Jianji Wang
Affine LBG for Codebook Training of Univariate Linear Representation. GlobalSIP 2018: 46-50 - [c2]Kai Yi
Cognition-Based Deep Learning: Progresses and Perspectives. AIAI 2018: 121-132 - [i1]Kai Yi
Knowledge-based Recurrent Attentive Neural Network for Traffic Sign Detection. CoRR abs/1803.05263 (2018) - 2015
- [j1]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): 1-10 (2015)
2000 – 2009
- 2008
- [c1]Qiankun Zhao, Sourav S. Bhowmick
Characterizing and predicting community members from evolutionary and heterogeneous networks. CIKM 2008: 309-318
Coauthor Index
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