Characterizing and predicting community members from evolutionary and heterogeneous networks. - Qiankun Zhao; Sourav S. Bhowmick; Xin Zheng; Kai Yi (CIKM, 2008)

A Q-band CMOS LNA exploiting transformer feedback and noise-cancelling. - Jing Wu; Zhengdong Jiang; Kai Yi; Kai Kang; Yiming Yu; Jixin Chen; Lei Zhang 033; Jun Liu; Le-Wei Joshua Li (Sci. China Inf. Sci., 2015)

Affine LBG for Codebook Training of Univariate Linear Representation. - Tiannan Dong; Jianji Wang 001; Meng Yang 002; Kai Yi; Nanning Zheng 001 (GlobalSIP, 2018)

Cognition-Based Deep Learning: Progresses and Perspectives. - Kai Yi; Shi-tao Chen; Yu Chen 040; Chao Xia; Nanning Zheng 001 (AIAI, 2018)

Knowledge-based Recurrent Attentive Neural Network for Traffic Sign Detection. - Kai Yi; Zhiqiang Jian; Shi-tao Chen; Yu Chen 040; Nanning Zheng 001 (CoRR, 2018)

Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. - Nicole Hallett; Kai Yi; Josef Dick; Christopher Hodge; Gerard Sutton; Yu Guang Wang 001; Jingjing You (IJCNN, 2020)

Cosmo VAE: Variational Autoencoder for CMB Image Inpainting. - Kai Yi; Yi Guo; Yanan Fan; Jan Hamann; Yu Guang Wang 001 (IJCNN, 2020)

Fast and Unbiased Estimation of Volume Under Ordered Three-Class ROC Surface (VUS) With Continuous or Discrete Measurements. - Shun Liu; Hongbin Zhu; Kai Yi; Xu Sun 006; Weichao Xu; Chao Wang 074 (IEEE Access, 2020)

CosmoVAE: Variational Autoencoder for CMB Image Inpainting. - Kai Yi; Yi Guo; Yanan Fan; Jan Hamann; Yuguang Wang 001 (CoRR, 2020)

Experimental Analysis of Legendre Decomposition in Machine Learning. - Jianye Pang; Kai Yi; Wanguang Yin; Min Xu (CoRR, 2020)

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 062; Yi-Wei Chang; Min Xu 009 (ICIP, 2021)

CIZSL++: Creativity Inspired Generative Zero-Shot Learning. - Mohamed Elhoseiny; Kai Yi; Mohamed Elfeki (CoRR, 2021)

VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining. - Jun Chen 021; Han Guo; Kai Yi; Boyang Li 001; Mohamed Elhoseiny (CoRR, 2021)

Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation. - Mohamed Elhoseiny; Divyansh Jha; Kai Yi; Ivan Skorokhodov (CoRR, 2021)

Disentangling semantic features of macromolecules in Cryo-Electron Tomography. - Kai Yi; Jianye Pang; Yungeng Zhang; Xiangrui Zeng; Min Xu 009 (CoRR, 2021)

Domain-Aware Continual Zero-Shot Learning. - Kai Yi; Mohamed Elhoseiny (CoRR, 2021)

A Wideband CMOS Frequency Quadrupler With Transformer-Based Tail Feedback Loop. - Yiming Yu; Pan Tang; Kai Yi; Chenxi Zhao 001; Huihua Liu; Yunqiu Wu; Wen-Yan Yin; Kai Kang (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. - Jun Chen 021; Han Guo; Kai Yi; Boyang Li 001; Mohamed Elhoseiny (CVPR, 2022)

Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. - Kai Yi; Xiaoqian Shen; Yunhao Gou; Mohamed Elhoseiny (ECCV (20), 2022)

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)

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)

Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. - Grigory Malinovsky; Kai Yi; Peter Richtárik (NeurIPS, 2022)

APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION. - Kai Yi; Jialin Chen; Yu Guang Wang 001; Bingxin Zhou; Pietro Liò; Yanan Fan; Jan Hamann (TAG-ML, 2022)

ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition. - Yuelin Wang; Kai Yi; Xinliang Liu; Yu Guang Wang 001; Shi Jin (CoRR, 2022)

Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems. - Xiongwen Ke; Houying Zhu; Kai Yi; Gaoning He; Ganghua Yang; Yu Guang Wang 001 (ICC, 2023)

Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. - Wenxuan Zhang 001; Paul Janson; Kai Yi; Ivan Skorokhodov; Mohamed Elhoseiny (ICCV, 2023)

An Efficient Medical Image Fusion via Online Convolutional Sparse Coding with Sample-Dependent Dictionary. - Chengfang Zhang; Ziliang Feng; Chao Zhang; Kai Yi (ICIG (5), 2023)

ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks. - Yuelin Wang; Kai Yi; Xinliang Liu; Yu Guang Wang 001; Shi Jin (ICLR, 2023)

Graph Denoising Diffusion for Inverse Protein Folding. - Kai Yi; Bingxin Zhou; Yiqing Shen 003; Pietro Lió; Yuguang Wang 001 (NeurIPS, 2023)

Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. - Bingxin Zhou; Outongyi Lv; Kai Yi; Xinye Xiong; Pan Tan; Liang Hong; Yu Guang Wang 001 (CoRR, 2023)

A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number. - Xiaozhu Yu; Kai Yi; Yu Guang Wang; Yiqing Shen 003 (BIBM, 2024)

Carbon Emissions Prediction Method for Gear Hobbing Based on Federated Learning with Multi-Source Data Cooperative Training. - Yan Xu; Qian Yi; Kai Yi; Congbo Li; Shuping Yi (CASE, 2024)

FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. - Kai Yi; Nidham Gazagnadou; Peter Richtárik; Lingjuan Lyu (ICLR, 2024)

Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model. - Yizhu Wen; Yiwei Wang; Kai Yi; Jing Ke; Yiqing Shen 003 (ICME, 2024)

QPDet: Queuing People Detector for Aerial Images Based on Adaptive Soft Label Assignment Strategy. - Yi Zhang; Yi Su; Siying Li; Kai Yi (ICPR (5), 2024)

TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset. - Yi Zhang; Bowei Zhang; Kai Yi (ICPR (4), 2024)

PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression. - Vladimir Malinovskii; Denis Mazur; Ivan Ilin; Denis Kuznedelev; Konstantin Burlachenko; Kai Yi; Dan Alistarh; Peter Richtárik (NeurIPS, 2024)

FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models. - Kai Yi; Georg Meinhardt; Laurent Condat; Peter Richtárik (CoRR, 2024)

DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. - Yizhu Wen; Kai Yi; Jing Ke; Yiqing Shen 003 (CoRR, 2024)

Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning. - Georg Meinhardt; Kai Yi; Laurent Condat; Peter Richtárik (CoRR, 2024)

Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning. - Kai Yi; Timur Kharisov; Igor Sokolov 001; Peter Richtárik (CoRR, 2024)

Score-matching-based Structure Learning for Temporal Data on Networks. - Hao Chen; Kai Yi; Lin Liu; Yu Guang Wang (CoRR, 2024)

Protein Engineering with Lightweight Graph Denoising Neural Networks. - Bingxin Zhou; Lirong Zheng 005; Banghao Wu; Yang Tan 001; Outongyi Lv; Kai Yi; Guisheng Fan; Liang Hong (J. Chem. Inf. Model., 2024)

A Self-Supervised Few-Shot Semantic Segmentation Method Based on Multi-Task Learning and Dense Attention Computation. - Kai Yi; Weihang Wang 007; Yi Zhang 098 (Sensors, 2024)

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects. - Lei Fan 007; Dongdong Fan; Zhiguang Hu; Yiwen Ding; Donglin Di; Kai Yi; Maurice Pagnucco; Yang Song 001 (CVPR, 2025)

Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. - Kai Yi; Laurent Condat; Peter Richtárik (Trans. Mach. Learn. Res., 2025)

Symmetric Pruning of Large Language Models. - Kai Yi; Peter Richtárik (CoRR, 2025)

How Particle System Theory Enhances Hypergraph Message Passing. - Yixuan Ma; Kai Yi; Pietro Lio; Shi Jin; Yu Guang Wang (CoRR, 2025)

All-atom inverse protein folding through discrete flow matching. - Kai Yi; Kiarash Jamali; Sjors H. W. Scheres (CoRR, 2025)