Lie He

North China Electric Power University — China

Computer Science · Physical Sciences

7h-index219citations19works0.52yr avg
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Research Topics

Privacy-Preserving Technologies in Data(10), Stochastic Gradient Optimization Techniques(10), Particle Detector Development and Performance(3), Radiation Detection and Scintillator Technologies(3), Adversarial Robustness in Machine Learning(3)

Publications19 total

Non-Asymptotic Analysis of Efficiency in Conformalized Regression
arXiv (Cornell University)·2025Open Access
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
arXiv (Cornell University)·2025Open Access
A Method for Generating New Equipment Startup Scheme for Power Grid by Fusing Graph Attention and Sparse Attention
SSRN Electronic Journal·2025Open Access
Simulation and experimental comparison of the performance of four-corner-readout plastic scintillator muon-detector system
Nuclear Science and Techniques·2024· 2 cited
Imaging technology based on the interaction between muon and material
Nuclear and Particle Physics Proceedings·2024· 1 cited
Proton relative biological effectiveness for the induction of DNA double strand breaks based on Geant4
Biomedical Physics & Engineering Express·2024Open Access
Provably Personalized and Robust Federated Learning
arXiv (Cornell University)·2023· 1 citedOpen Access
Debiasing Conditional Stochastic Optimization
arXiv (Cornell University)·2023Open Access
Hybrid model for muon tomography and quantitative analysis of image quality
Nuclear Science and Techniques·2022· 17 cited
Byzantine-Robust Decentralized Learning via ClippedGossip
arXiv (Cornell University)·2022· 4 citedOpen Access
RelaySum for Decentralized Deep Learning on Heterogeneous Data
arXiv (Cornell University)·2021· 7 citedOpen Access
Learning from History for Byzantine Robust Optimization
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2021· 40 citedOpen Access
Byzantine-Robust Learning on Heterogeneous Datasets via Resampling
arXiv (Cornell University)·2021· 24 citedOpen Access
Learning from History for Byzantine Robust Optimization
arXiv (Cornell University)·2020· 24 citedOpen Access
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
arXiv (Cornell University)·2020· 13 citedOpen Access
Secure Byzantine-Robust Machine Learning
arXiv (Cornell University)·2020· 39 citedOpen Access
COLA: Decentralized Linear Learning
arXiv (Cornell University)·2018· 43 citedOpen Access
COLA: Communication-Efficient Decentralized Linear Learning
arXiv (Cornell University)·2018· 1 citedOpen Access
Hybrid Cloud Computing and Integrated Transport System
2017· 3 cited

Frequent Co-authors

Martin Jaggi(10), Sai Praneeth Karimireddy(8), S. Luo(4), Wan-Cheng Xiao(3), An Bian(2), Yu-He Huang(2), Xiao-Dong Wang(2), Yongqiang Yao(2), Michael Gastpar(2), Xuan-Tao Ji(1), Guang Luo(1), Song Feng(1), Min Xiao(1), Thijs Vogels(1), Anastasia Koloskova(1), Tao Lin(1), Sebastian U. Stich(1), Mohammad Nashir Uddin(1), Hao Li(1), Xiang-Man Liu(1)