2 code implementations • 9 Apr 2024 • Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang
Addressing these limitations, we introduce scCDCG (single-cell RNA-seq Clustering via Deep Cut-informed Graph), a novel framework designed for efficient and accurate clustering of scRNA-seq data that simultaneously utilizes intercellular high-order structural information.
no code implementations • 9 Oct 2023 • Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou
In addressing the imbalanced issue of data within the realm of Natural Language Processing, text data augmentation methods have emerged as pivotal solutions.
no code implementations • 6 Sep 2023 • Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
Subsequently, we utilize the defined query-aware temporal paths on a history temporal graph to model historical path information related to queries for reasoning.
no code implementations • 4 Sep 2023 • Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou
The objective of topic inference in research proposals aims to obtain the most suitable disciplinary division from the discipline system defined by a funding agency.
no code implementations • 17 Jun 2023 • Zhiyuan Ning, Zhangxun Li, Zhengliang Guo, Zile Wang, Liang Song
To address these deficiencies, we propose a Multi-scale Spatial-Temporal Interaction Network (MSTI-Net) for VAD.
1 code implementation • 25 Apr 2023 • Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Temporal knowledge graph (TKG) reasoning aims to predict the future missing facts based on historical information and has gained increasing research interest recently.
1 code implementation • 27 Dec 2022 • Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou
It aims to evaluate the condition of both eyes of a patient respectively, and we formulate it as a particular multi-label classification task in this paper.
no code implementations • 28 Sep 2022 • Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou
Moreover, as the neighborhood size exponentially expands with more hops considered, we propose neighborhood sampling strategies to improve learning efficiency.
no code implementations • 28 Sep 2022 • Meng Xiao, Min Wu, Ziyue Qiao, Zhiyuan Ning, Yi Du, Yanjie Fu, Yuanchun Zhou
In response to this question, we propose a hierarchical mixup multiple-label classification framework, which we called H-MixUp.
1 code implementation • 8 Oct 2021 • Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou
In this paper, we propose a multi-task self-supervised learning-based researcher data pre-training model named RPT.
no code implementations • 22 Feb 2021 • Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou
Knowledge graph embedding (KGE) models learn to project symbolic entities and relations into a continuous vector space based on the observed triplets.
no code implementations • 13 Dec 2020 • Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou
Most researches for knowledge graph completion learn representations of entities and relations to predict missing links in incomplete knowledge graphs.
no code implementations • SEMEVAL 2019 • Zhiyuan Ning, Yuanzhen Lin, Ruichao Zhong
This paper describes the team peter-parker{'}s participation in Hyperpartisan News Detection task (SemEval-2019 Task 4), which requires to classify whether a given news article is bias or not.