no code implementations • 23 Mar 2024 • Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu
Finally, a three-step alternate optimization is proposed, in which the category memory library and consensus partition matrix are optimized.
no code implementations • 8 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.
no code implementations • 17 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.
no code implementations • 18 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.
no code implementations • 13 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.
no code implementations • 25 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.
no code implementations • 1 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.
no code implementations • 16 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.
no code implementations • 29 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.
no code implementations • 8 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.
no code implementations • 4 Oct 2022 • Zixiao Wang, Yuluo Guo, Jin Zhao, Yu Zhang, Hui Yu, Xiaofei Liao, Biao Wang, Ting Yu
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model.
Ranked #1 on Link Property Prediction on ogbl-ddi
no code implementations • 31 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
2 code implementations • 28 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.
no code implementations • 5 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.
no code implementations • 18 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.
1 code implementation • 10 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).
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.
Ranked #2 on Drug–drug Interaction Extraction on DrugBank
no code implementations • 11 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.
no code implementations • 12 Apr 2021 • Haoran Zhao, Xin Sun, Junyu Dong, Hui Yu, Huiyu Zhou
Then the generated samples are used to train the compact student network under the supervision of the teacher.
no code implementations • 18 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.
1 code implementation • 2 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.
no code implementations • 2 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).
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.
2 code implementations • 22 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
no code implementations • 12 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.
no code implementations • 1 Apr 2019 • Jinguang Sun, Wanli Wang, Xian Wei, Li Fang, Xiaoliang Tang, Yusheng Xu, Hui Yu, Wei Yao
The high dimensionality of hyperspectral images often results in the degradation of clustering performance.
no code implementations • 12 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.
no code implementations • 24 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.
no code implementations • 10 Aug 2015 • Hui Yu, Xiaofeng Wu, Wenbin Jiang, Qun Liu, ShouXun Lin
The widely-used automatic evaluation metrics cannot adequately reflect the fluency of the translations.
no code implementations • 9 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.
no code implementations • 21 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.