Search Results for author: Liping Li

Found 7 papers, 2 papers with code

Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach

no code implementations8 Jan 2023 Shuai Wang, ChiYung Yam, Shuguang Chen, Lihong Hu, Liping Li, Faan-Fung Hung, Jiaqi Fan, Chi-Ming Che, Guanhua Chen

Here, we develop a general protocol for accurate predictions of emission wavelength, radiative decay rate constant, and PL quantum yield for phosphorescent Pt(II) emitters based on the combination of first-principles quantum mechanical method, machine learning (ML) and experimental calibration.

Ensemble Learning

3D modelling of survey scene from images enhanced with a multi-exposure fusion

no code implementations10 Nov 2021 Kwok-Leung Chan, Liping Li, Arthur Wing-Tak Leung, Ho-Yin Chan

In this paper, we propose a method that can be used to improve the visibility of the images, and eventually reduce the errors of the 3D scene model.

Image Dehazing

Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data

no code implementations27 Sep 2021 Xuyan Tan, Yuhang Wang, Bowen Du, Junchen Ye, Weizhong Chen, Leilei Sun, Liping Li

Mechanical analysis for the full face of tunnel structure is crucial to maintain stability, which is a challenge in classical analytical solutions and data analysis.

Completeness of the induced cotorsion pairs in functor categories

no code implementations11 Feb 2021 Zhenxing Di, Liping Li, Li Liang, Fei Xu

This paper focuses on a question raised by Holm and J{\o}rgensen, who asked if the induced cotorsion pairs $(\Phi({\sf X}),\Phi({\sf X})^{\perp})$ and $(^{\perp}\Psi({\sf Y}),\Psi({\sf Y}))$ in $\mathrm{Rep}(Q,{\sf{A}})$ -- the category of all $\sf{A}$-valued representations of a quiver $Q$ -- are complete whenever $(\sf X,\sf Y)$ is a complete cotorsion pair in an abelian category $\sf{A}$ satisfying some mild conditions.

Representation Theory K-Theory and Homology

A Communication Efficient Collaborative Learning Framework for Distributed Features

no code implementations24 Dec 2019 Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang

We introduce a collaborative learning framework allowing multiple parties having different sets of attributes about the same user to jointly build models without exposing their raw data or model parameters.

Communication-Censored Distributed Stochastic Gradient Descent

1 code implementation9 Sep 2019 Weiyu Li, Tianyi Chen, Liping Li, Zhaoxian Wu, Qing Ling

Specifically, in CSGD, the latest mini-batch stochastic gradient at a worker will be transmitted to the server if and only if it is sufficiently informative.

Quantization Stochastic Optimization

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

1 code implementation9 Nov 2018 Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling

In this paper, we propose a class of robust stochastic subgradient methods for distributed learning from heterogeneous datasets at presence of an unknown number of Byzantine workers.

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