Search Results for author: Hui Yu

Found 35 papers, 6 papers with code

Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification

no code implementations8 Jan 2024 Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat, Prathmesh Madhu, Siming Bayer, Andreas Maier

The assessment of breast density is crucial in the context of breast cancer screening, especially in populations with a higher percentage of dense breast tissues.

breast density classification Data Augmentation +1

DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation

no code implementations17 Dec 2023 Qingxuan Lv, Yuezun Li, Junyu Dong, Sheng Chen, Hui Yu, Huiyu Zhou, Shu Zhang

Specifically, our strategy considers both forward and backward adaptation, to transfer the forgery knowledge from the source domain to the target domain in forward adaptation and then reverse the adaptation from the target domain to the source domain in backward adaptation.

DeepFake Detection Face Swapping +2

Energizing Federated Learning via Filter-Aware Attention

no code implementations18 Nov 2023 Ziyuan Yang, Zerui Shao, Huijie Huangfu, Hui Yu, Andrew Beng Jin Teoh, Xiaoxiao Li, Hongming Shan, Yi Zhang

Federated learning (FL) is a promising distributed paradigm, eliminating the need for data sharing but facing challenges from data heterogeneity.

Federated Learning

Privacy-Preserving Encrypted Low-Dose CT Denoising

no code implementations13 Oct 2023 Ziyuan Yang, Huijie Huangfu, Maosong Ran, Zhiwen Wang, Hui Yu, Yi Zhang

In this way, the proposed methods can achieve two merits, the data privacy is well protected and the server model is free from the risk of model leakage.

Denoising Privacy Preserving

CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations

no code implementations25 Jul 2023 Yili Chen, Zhengyu Li, Zheng Wan, Hui Yu, Xian Wei

Therefore, it is necessary to develop a method for predicting molecular properties that effectively combines spatial structural information while maintaining the simplicity and efficiency of graph neural networks.

Graph Embedding Molecular Property Prediction +1

A Dynamic Model for Frequency Response Optimization in Photovoltaic Visible Light Communication

no code implementations1 May 2023 Shuyan Chen, Hui Yu, Ni Zhao, Lian-Kuan Chen

The RC constant can be reduced for PVLC receivers working near open-circuit voltage conditions by adding a moderate local light to decrease the internal resistance value.

Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations

no code implementations16 Apr 2023 Jianzhang Zheng, Hao Shen, Jian Yang, Xuan Tang, Mingsong Chen, Hui Yu, Jielong Guo, Xian Wei

Motivated by the important role of ID, in this paper, we propose a novel deep representation learning approach with autoencoder, which incorporates regularization of the global and local ID constraints into the reconstruction of data representations.

Image Classification Representation Learning

A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific

no code implementations29 Dec 2022 Wei zhang, Yueyue Jiang, Junyu Dong, Xiaojiang Song, Renbo Pang, Boyu Guoan, Hui Yu

In this study, we developed the Multi-Task-Double Encoder Trajectory Gated Recurrent Unit (MT-DETrajGRU) model, which uses an improved double-encoder forecaster architecture to model the spatiotemporal sequence of the U and V components of the wind field; we designed a multi-task learning loss function to correct wind speed and wind direction simultaneously using only one model.

Multi-Task Learning

Impact of Virtual Inertia on DC Grid Stability with Constant Power Loads

no code implementations8 Nov 2022 Hao Tu, Hui Yu, Srdjan Lukic

We derive a closed-form stability criterion that can be used to evaluate the impact of virtual inertia on the system stability, and demonstrate that, given a set of system parameters, the stability of a DC grid powering CPLs can be improved for a range of virtual inertia designs.

Application of Data Encryption in Chinese Named Entity Recognition

no code implementations31 Aug 2022 Kaifang Long, Jikun Dong, Shengyu Fan, Yanfang Geng, Yang Cao, Han Zhao, Hui Yu, Weizhi Xu

Recently, with the continuous development of deep learning, the performance of named entity recognition tasks has been dramatically improved.

Chinese Named Entity Recognition named-entity-recognition +1

Filter-enhanced MLP is All You Need for Sequential Recommendation

2 code implementations28 Feb 2022 Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen

Recently, deep neural networks such as RNN, CNN and Transformer have been applied in the task of sequential recommendation, which aims to capture the dynamic preference characteristics from logged user behavior data for accurate recommendation.

Sequential Recommendation

Synthesizing Tensor Transformations for Visual Self-attention

no code implementations5 Jan 2022 Xian Wei, Xihao Wang, Hai Lan, JiaMing Lei, Yanhui Huang, Hui Yu, Jian Yang

Self-attention shows outstanding competence in capturing long-range relationships while enhancing performance on vision tasks, such as image classification and image captioning.

Image Captioning Image Classification

A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources

no code implementations18 Nov 2021 Bei Xu, Victor Paduani, Hui Yu, David Lubkeman, Ning Lu

Compared with the conventional rotating reference frame ($dq$) based control scheme, the proposed scheme shows better dynamic performance.

Scheduling

STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions

1 code implementation10 Nov 2021 Hui Yu, Shiyu Zhao, JianYu Shi

Results: In this paper, by supposing that the interactions between two given drugs are caused by their local chemical structures (sub-structures) and their DDI types are determined by the linkages between different substructure sets, we design a novel Substructure-ware Tensor Neural Network model for DDI prediction (STNN-DDI).

Vocal Bursts Type Prediction

SSI–DDI: Substructure–Substructure Interactions for Drug–Drug Interaction Prediction

2 code implementations Briefings in Bioinformatics 2021 Arnold Nyamabo, Hui Yu, Jian-Yu Shi

A major concern with co-administration of different drugs is the high risk of interference between their mechanisms of action, known as adverse drug–drug interactions (DDIs), which can cause serious injuries to the organism.

molecular representation

A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems with Power Reserves and Fast Frequency Response Capabilities

no code implementations11 May 2021 Victor Paduani, Hui Yu, Bei Xu, Ning Lu

By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations.

Point Tracking

Similarity Transfer for Knowledge Distillation

no code implementations18 Mar 2021 Haoran Zhao, Kun Gong, Xin Sun, Junyu Dong, Hui Yu

The proposed approach promotes the performance of student model as the virtual sample created by multiple images produces a similar probability distribution in the teacher and student networks.

Knowledge Distillation

Real-time 3D Facial Tracking via Cascaded Compositional Learning

1 code implementation2 Sep 2020 Jianwen Lou, Xiaoxu Cai, Junyu Dong, Hui Yu

We propose to learn a cascade of globally-optimized modular boosted ferns (GoMBF) to solve multi-modal facial motion regression for real-time 3D facial tracking from a monocular RGB camera.

regression

3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network

no code implementations2 Sep 2020 Xiaoxu Cai, Hui Yu, Jianwen Lou, Xuguang Zhang, Gongfa Li, Junyu Dong

We present to recover the complete 3D facial geometry from a single depth view by proposing an Attention Guided Generative Adversarial Networks (AGGAN).

Generative Adversarial Network

PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments

1 code implementation ECCV 2020 Zhiming Chen, Kean Chen, Weiyao Lin, John See, Hui Yu, Yan Ke, Cong Yang

The experimental results show that PIoU loss can dramatically improve the performance of OBB detectors, particularly on objects with high aspect ratios and complex backgrounds.

object-detection Object Detection In Aerial Images +2

Accelerating convolutional neural network by exploiting sparsity on GPUs

2 code implementations22 Sep 2019 Weizhi Xu, Shengyu Fan, Hui Yu, Tiantian Wang, Yufeng Zhou

Multiplications and additions for zero values in the feature map are useless for convolution results.

Distributed, Parallel, and Cluster Computing

A K-means-based Multi-subpopulation Particle Swarm Optimization for Neural Network Ensemble

no code implementations12 Jun 2019 Hui Yu

This paper presents a k-means-based multi-subpopulation particle swarm optimization, denoted as KMPSO, for training the neural network ensemble.

Clustering

Parallel Medical Imaging for Intelligent Medical Image Analysis: Concepts, Methods, and Applications

no code implementations12 Mar 2019 Chao Gou, Tianyu Shen, Wenbo Zheng, Huadan Xue, Hui Yu, Qiang Ji, Zhengyu Jin, Fei-Yue Wang

Artificial imaging systems are introduced to select and prescriptively generate medical image data in a knowledge-driven way to utilize medical domain knowledge.

Dense 3D Facial Reconstruction from a Single Depth Image in Unconstrained Environment

no code implementations24 Apr 2017 Shu Zhang, Hui Yu, Ting Wang, Junyu Dong, Honghai Liu

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step for those virtual reality tasks.

An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model

no code implementations9 Aug 2015 Hui Yu, Xiaofeng Wu, Wenbin Jiang, Qun Liu, ShouXun Lin

To avoid these problems, we propose a novel automatic evaluation metric based on dependency parsing model, with no need to define sub-structures by human.

Dependency Parsing Machine Translation +2

Ship Detection and Segmentation using Image Correlation

no code implementations21 Oct 2013 Alexander Kadyrov, Hui Yu, Honghai Liu

There have been intensive research interests in ship detection and segmentation due to high demands on a wide range of civil applications in the last two decades.

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