Yuxiang Ren

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

Top Topics

Graph Classification

Fraud Detection

Active Learning

Top Venues

Int. J. Intell. Syst.

Publications

Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiaoyu Zhang, Weitao Du
Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization. CoRR (2024)
Kailong Wu, Yule Xie, Jiaxin Ding, Yuxiang Ren, Luoyi Fu, Xinbing Wang, Chenghu Zhou
Characterizing the Influence of Topology on Graph Learning Tasks. CoRR (2024)
Heng Zhou, Zhetao Guo, Shuhong Liu, Lechen Zhang, Qihao Wang, Yuxiang Ren, Mingrui Li
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction. CoRR (2024)
Enyu Yu, Hui Dong, Yuxiang Ren, Minzhi Yan, Xuecang Zhang, Yi Yang, Le Yue, Zhengbin Huang
HRCA: A Heterogeneous Graph-based Adaptive Root Cause Analysis Framework. ISSREW (2023)
Lin Meng, Yuxiang Ren, Jiawei Zhang
Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection. DASFAA (4) (2023)
Shengyin Sun, Yuxiang Ren, Chen Ma, Xuecang Zhang
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. CoRR (2023)
Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). CoRR (2023)
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
Measuring and sampling: A metric-guided subgraph learning framework for graph neural network. Int. J. Intell. Syst. 37 (10) (2022)
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
Adaptive momentum with discriminative weight for neural network stochastic optimization. Int. J. Intell. Syst. 37 (9) (2022)
Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Ruoyu Fang, Cheng Cai, Yuxiang Ren
Constant Force Drawing of Chemical Fibers. ICCC (2021)
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. IJCNN (2021)
Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR (2021)
Yuxiang Ren, Jiawei Zhang
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention. IJCNN (2021)
Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE (2021)
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network. CoRR (2021)
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. IJCNN (2021)
Yuxiang Ren, Jiyang Bai, Jiawei Zhang
Label Contrastive Coding Based Graph Neural Network for Graph Classification. DASFAA (1) (2021)
Yuxiang Ren, Jiawei Zhang
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning. CoRR (2021)
Yuxiang Ren, Jiyang Bai, Jiawei Zhang
Label Contrastive Coding based Graph Neural Network for Graph Classification. CoRR (2021)
Yuxiang Ren, Lin Meng, Jiawei Zhang
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. HT (2020)
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization. ASONAM (2020)
Xuguang Guo, Yuxiang Ren, Guixue Zhang, Anqi Yu, Xiaoshuang Chen, Yiming Zhu
Theoretical Investigation on Microcavity Coupler for Terahertz Quantum-Well Infrared Photodetectors. IEEE Access 8 (2020)
Yunxia Wang, Song Zhang, Fengcheng Li, Ying Zhou, Ying Zhang, Zhengwen Wang, Runyuan Zhang, Jiang Zhu, Yuxiang Ren, Ying Tan, Chu Qin, Yinghong Li, Xiaoxu Li, Yuzong Chen, Feng Zhu
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics. Nucleic Acids Res. 48 (Database-Issue) (2020)
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. CoRR (2020)
Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM (2020)
Yuxiang Ren, Jiawei Zhang
HGAT: Hierarchical Graph Attention Network for Fake News Detection. CoRR (2020)
Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang
Heterogeneous Deep Graph Infomax. CoRR (2019)
Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR (2019)
Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
Meta Diagram based Active Social Networks Alignment. CoRR (2019)
Yuxiang Ren, Lin Meng, Jiawei Zhang
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. CoRR (2019)
Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
Meta Diagram Based Active Social Networks Alignment. ICDE (2019)
Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, Philip S. Yu
Deep Heterogeneous Social Network Alignment. CogMI (2019)