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Kai Yang โ most-cited papers & profile ยท AI for Code
โ authors
ยท
overview
Kai Yang
52
papers ยท
390
citations ยท
30
h-index
Hong Kong University of Science and Technology ยท Beijing Jiaotong University
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
2020 ยท 195 citations
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
2019 ยท 57 citations
Federated Learning via Over-the-Air Computation
2018 ยท 50 citations
Local Structure-aware Graph Contrastive Representation Learning
2023 ยท 26 citations
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
2024 ยท 21 citations
Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost
2021 ยท 11 citations
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging
2022 ยท 9 citations
Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
2025 ยท 5 citations
Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
2025 ยท 4 citations
Flexible Readout and Unconditional Reset for Superconducting Multi-Qubit Processors with Tunable Purcell Filters
2025 ยท 4 citations
Exploration and Anti-Exploration with Distributional Random Network Distillation
2024 ยท 3 citations
Kimi K2.5: Visual Agentic Intelligence
2026 ยท 1 citations
Kimi K2.5: Visual Agentic Intelligence
2026 ยท 1 citations
Graph Federated Learning for Personalized Privacy Recommendation
2025 ยท 1 citations
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
2021 ยท 1 citations
Top co-authors
Chuyan Jin
ยท 1
Guiyu Ma
ยท 1
Jiaming Fan
ยท 1
Jin Zhang
ยท 1
Ji-Rong Wen
ยท 1
Junjie Gao
ยท 1
Shihan Ma
ยท 1
Weiran Qi
ยท 1
Xingzhong Xu
ยท 1
Yao Yao
ยท 1
Yuyao Zhang
ยท 1
Zhengxian Wu
ยท 1
Topics
Federated Learning
Privacy
cs.LG
cs.AI
Model-Based RL
Control
Security
cs.CL
Reinforcement Learning
Efficiency