Search Results for author: Yuntian Chen

Found 21 papers, 6 papers with code

Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting

1 code implementation30 May 2023 Jiaxin Gao, WenBo Hu, Yuntian Chen

Long-term time series forecasting (LTSF) is a crucial aspect of modern society, playing a pivotal role in facilitating long-term planning and developing early warning systems.

Time Series Forecasting

Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

1 code implementation CVPR 2023 Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen

Classical adversarial attacks for Face Recognition (FR) models typically generate discrete examples for target identity with a single state image.

Adversarial Attack Data Augmentation +1

Progressively Dual Prior Guided Few-shot Semantic Segmentation

no code implementations20 Nov 2022 Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han

Few-shot semantic segmentation task aims at performing segmentation in query images with a few annotated support samples.

Few-Shot Semantic Segmentation Semantic Segmentation

TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning

no code implementations5 Oct 2022 Jiaxin Gao, WenBo Hu, Dongxiao Zhang, Yuntian Chen

Accurate electrical load forecasting is beneficial for better scheduling of electricity generation and saving electrical energy.

Load Forecasting Scheduling +1

Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development

no code implementations20 Jun 2022 Yuntian Chen, Dongxiao Zhang, Qun Zhao, Dexun Liu

An algorithm named InterOpt for optimizing operational parameters is proposed based on interpretable machine learning, and is demonstrated via optimization of shale gas development.

BIG-bench Machine Learning Interpretable Machine Learning

AutoKE: An automatic knowledge embedding framework for scientific machine learning

1 code implementation11 May 2022 Mengge Du, Yuntian Chen, Dongxiao Zhang

Imposing physical constraints on neural networks as a method of knowledge embedding has achieved great progress in solving physical problems described by governing equations.

BIG-bench Machine Learning Neural Architecture Search +1

Semantic interpretation for convolutional neural networks: What makes a cat a cat?

no code implementations16 Apr 2022 Hao Xu, Yuntian Chen, Dongxiao Zhang

The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model.


Integration of knowledge and data in machine learning

no code implementations15 Feb 2022 Yuntian Chen, Dongxiao Zhang

Scientific research's mandate is to comprehend and explore the world, as well as to improve it based on experience and knowledge.

BIG-bench Machine Learning Common Sense Reasoning

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)

2 code implementations9 Jun 2021 Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang

Partial differential equations (PDEs) are concise and understandable representations of domain knowledge, which are essential for deepening our understanding of physical processes and predicting future responses.

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations

no code implementations2 Jun 2021 Yingtao Luo, Qiang Liu, Yuntian Chen, WenBo Hu, Tian Tian, Jun Zhu

Especially, the discovery of PDEs with highly nonlinear coefficients from low-quality data remains largely under-addressed.

Density Estimation Model Optimization

Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data

no code implementations31 May 2021 Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang

Although deep-learning has been successfully applied in a variety of science and engineering problems owing to its strong high-dimensional nonlinear mapping capability, it is of limited use in scientific knowledge discovery.

DNN2LR: Automatic Feature Crossing for Credit Scoring

no code implementations24 Feb 2021 Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu

Accordingly, we can design an automatic feature crossing method to find feature interactions in DNN, and use them as cross features in LR.

Feature Engineering

Optically reconfigurable quantum spin-valley Hall effect of light in coupled nonlinear ring resonator lattice

no code implementations17 Feb 2021 Haofan Yang, Jing Xu, Zhongfei Xiong, Xinda Lu, Ruo-Yang Zhang, Yuntian Chen, Shuang Zhang

In optics, various photonic topological circuits have been developed, which were based on classical emulation of either quantum spin Hall effect or quantum valley Hall effect.


Extremize Optical Chiralities through Polarization Singularities

no code implementations11 Jan 2021 Weijin Chen, Qingdong Yang, Yuntian Chen, Wei Liu

Chiral optical effects are generally quantified along some specific incident directions of exciting waves (especially for extrinsic chiralities of achiral structures) or defined as direction-independent properties by averaging the responses among all structure orientations.


Optical isolation induced by subwavelength spinning particle via spin-orbit interaction

no code implementations24 Nov 2020 Hongkang Shi, Yuqiong Cheng, Zheng Yang, Yuntian Chen, Shubo Wang

Optical isolation enables nonreciprocal manipulations of light with broad applications in optical communications.


DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data

no code implementations22 Aug 2020 Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen

Simple classifiers, e. g., Logistic Regression (LR), are globally interpretable, but not powerful enough to model complex nonlinear interactions among features in tabular data.

Physics-constrained indirect supervised learning

no code implementations26 Apr 2020 Yuntian Chen, Dongxiao Zhang

In the training process, the model prediction is mapped to the space of value that conforms to the physical mechanism through the projection matrix, and then the model is trained based on the indirect labels.

Ensemble long short-term memory (EnLSTM) network

1 code implementation26 Apr 2020 Yuntian Chen, Dongxiao Zhang

In this study, we propose an ensemble long short-term memory (EnLSTM) network, which can be trained on a small dataset and process sequential data.

Small Data Image Classification

Hidden-symmetry-enforced nexus points of nodal lines in layer-stacked dielectric photonic crystals

no code implementations14 Mar 2020 Zhongfei Xiong, Ruo-Yang Zhang, Rui Yu, C. T. Chan, Yuntian Chen

It was recently demonstrated that the connectivities of bands emerging from zero frequency in dielectric photonic crystals are distinct from their electronic counterparts with the same space groups.

Optics Mesoscale and Nanoscale Physics

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