Search Results for author: Zhengkun Li

Found 4 papers, 0 papers with code

DT/MARS-CycleGAN: Improved Object Detection for MARS Phenotyping Robot

no code implementations19 Oct 2023 David Liu, Zhengkun Li, Zihao Wu, Changying Li

This work specifically tackles the first challenge by proposing a novel Digital-Twin(DT)MARS-CycleGAN model for image augmentation to improve our Modular Agricultural Robotic System (MARS)'s crop object detection from complex and variable backgrounds.

Image Augmentation Object +2

Diffusion Models for Time Series Applications: A Survey

no code implementations1 May 2023 Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao

Diffusion models, a family of generative models based on deep learning, have become increasingly prominent in cutting-edge machine learning research.

Imputation Time Series +1

Honour Thesis: A Joint Value at Risk and Expected Shortfall Combination Framework and its Applications in the Cryptocurrency Market

no code implementations21 Feb 2022 Zhengkun Li

We propose two methodology, one is a semiparametric combination framework that can jointly produce combined value at risk and expected shortfall forecasts, another one is a parametric regression framework named as Quantile-ES regression that can produce combined expected shortfall forecasts.

Management regression

A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting

no code implementations23 Jan 2020 Zhengkun Li, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Junbin Gao

Value-at-Risk (VaR) and Expected Shortfall (ES) are widely used in the financial sector to measure the market risk and manage the extreme market movement.

Bayesian Inference Time Series +1

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