1 code implementation • 18 Sep 2021 • Yujian Feng, Feng Chen, Jian Yu, Yimu Ji, Fei Wu, Shangdong Liu, Xiao-Yuan Jing
Existing VI Re-ID methods mainly focus on extracting homogeneous structural relationships in an image, i. e. the relations between local features, while ignoring the heterogeneous correlation of local features in different modalities.
1 code implementation • 29 Jun 2022 • Yongjun Jiang, Jian Yu, Wenwen Yang, Bihong Zhang, Yanfeng Wang
To the best of our knowledge, the proposed Nextformer model achieves SOTA results on AISHELL-1(CER 4. 06%) and WenetSpeech(CER 7. 56%/11. 29%).
1 code implementation • IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 • Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, and Tieyong Zeng
In this paper, a deep generative classifier is proposed to mitigate this issue via both model perturbation and data perturbation.
1 code implementation • 6 May 2023 • Zeyu Cai, Jian Yu, Ziyu Zhang, Chengqian Jin, Feipeng Da
The reconstruction subnet in the network then learns the mapping of the residuals to the true values to improve reconstruction accuracy.
1 code implementation • LREC 2022 • Wenhao Zhu, ShuJian Huang, Tong Pu, Pingxuan Huang, Xu Zhang, Jian Yu, Wei Chen, Yanfeng Wang, Jiajun Chen
Previous research for adapting a general neural machine translation (NMT) model into a specific domain usually neglects the diversity in translation within the same domain, which is a core problem for domain adaptation in real-world scenarios.
1 code implementation • 18 Feb 2023 • Xinyan Wang, Ting Jia, Chongyu Wang, Kuan Xu, Zixin Shu, Jian Yu, Kuo Yang, Xuezhong Zhou
In this paper, we construct a biological knowledge graph centered on diseases and genes, and develop an end-to-end Knowledge graph completion model for Disease Gene Prediction using interactional tensor decomposition (called KDGene).
1 code implementation • 24 Nov 2023 • XueWei Li, Zewen Shang, Zhiqiang Liu, Jian Yu, Wei Xiong, Mei Yu
History and future time information includes the trend of airflow changes, whether this dynamic information can be utilized will also affect the prediction effect.
no code implementations • 9 Mar 2014 • Jian Yu, Zongben Xu
Cluster analysis has attracted more and more attention in the field of machine learning and data mining.
no code implementations • 31 Mar 2015 • Jian Yu
Categorization axioms have been proposed to axiomatizing clustering results, which offers a hint of bridging the difference between human recognition system and machine learning through an intuitive observation: an object should be assigned to its most similar category.
no code implementations • 29 Jul 2015 • Jian Yu
Word (phrase or symbol) representation is the fundamental problem for knowledge representation and understanding.
no code implementations • 24 Nov 2018 • Shangxi Wu, Jitao Sang, Kaiyuan Xu, Jiaming Zhang, Jian Yu
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change.
no code implementations • CVPR 2015 • Liping Jing, Liu Yang, Jian Yu, Michael K. Ng
SLRM model takes advantage of the nuclear norm regularization on mapping to effectively capture the label correlations.
no code implementations • 22 Apr 2019 • Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Yongli Hu, Yanfeng Sun, Jian Yu
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human.
no code implementations • 28 Nov 2019 • Guanhua Zheng, Jitao Sang, Houqiang Li, Jian Yu, Changsheng Xu
The derived generalization bound based on the ITID assumption identifies the significance of hypothesis invariance in guaranteeing generalization performance.
no code implementations • 30 Mar 2020 • Pei Zhang, Xu Zhang, Wei Chen, Jian Yu, Yan-Feng Wang, Deyi Xiong
In this paper, we propose a new framework to model cross-sentence dependencies by training neural machine translation (NMT) to predict both the target translation and surrounding sentences of a source sentence.
no code implementations • 11 Feb 2021 • Muhammad Naeem, Jian Yu, Muhammad Aamir, Sajjad Ahmad Khan, Olayinka Adeleye, Zardad Khan
Then, the resulting significant variables concerning their lags are used in the regression model selected by the ARDL for predicting and forecasting the trend of the epidemic.
1 code implementation • 21 Jun 2021 • Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu
ImageNet pre-training has enabled state-of-the-art results on many tasks.
1 code implementation • 13 Oct 2021 • Mengyuan Zhao, Xiaowen Huang, Lixi Zhu, Jitao Sang, Jian Yu
Then, two samplers are designed to enhance knowledge by sampling fuzzy samples with high uncertainty for obtaining user preferences and reliable negative samples for updating recommender to achieve efficient acquisition of user preferences and model updating, and thus provide a powerful solution for CRS to deal with E&E problem.
no code implementations • 18 Oct 2021 • Xiaowen Huang, Jitao Sang, Jian Yu, Changsheng Xu
The cold-start recommendation is an urgent problem in contemporary online applications.
no code implementations • CVPR 2022 • Yaogong Feng, Xiaowen Huang, Pengbo Yang, Jian Yu, Jitao Sang
Synthesizing pseudo samples is currently the most effective way to solve the Generalized Zero-Shot Learning (GZSL) problem.
1 code implementation • 28 May 2022 • Yimei Zheng, Caiyan Jia, Jian Yu, Xuanya Li
Under the assumption of consistency for data in different views, the cluster structure of network topology and that of node attributes should be consistent for an attributed network.
no code implementations • 7 Oct 2022 • XueWei Li, Weilun Zhang, Jie Gao, Xuzhou Fu, Jian Yu
Secondly, the subdomain classifier module based on instance confidence is constructed, which can dynamically divide the target domain into easy and difficult subdomains according to the relative proportion of easy and difficult instances.
no code implementations • 6 Feb 2023 • Kuan Xu, Kuo Yang, Hanyang Dong, Xinyan Wang, Jian Yu, Xuezhong Zhou
Knowledge graph completion (KGC) is one of the effective methods to identify new facts in knowledge graph.
no code implementations • 23 Jul 2023 • Ziwei Zhu, Changhao Shan, Bihong Zhang, Jian Yu
We combine the methods of meta learning and freeze of model parameters, which makes the recognition performance more stable in different cases and the training faster about 20%.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 28 Nov 2023 • Jian Yu, Yi Yu, Feipeng Da
Large parallax image stitching is a challenging task.
no code implementations • 6 Feb 2024 • Sijin Lu, Pengyu Xu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu
For the retrieval-augmented representations, we employ a cross-modal context-aware attention to leverage the main modality description for targeted feature extraction across the submodalities title and code.
no code implementations • 5 Mar 2024 • Yu Chen, Liyan Ma, Liping Jing, Jian Yu
Humans can easily distinguish the known and unknown categories and can recognize the unknown object by learning it once instead of repeating it many times without forgetting the learned object.