Yilun Jin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Structural Patterns

Top Venues

Expert Syst. Appl.

Publications

Zhao Li, Biao Wang, Jiaming Huang, Yilun Jin, Zenghui Xu, Ji Zhang, Jianliang Gao
A graph-powered large-scale fraud detection system. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Di Chai, Junxue Zhang, Liu Yang, Yilun Jin, Leye Wang, Kai Chen, Qiang Yang
Efficient Decentralized Federated Singular Vector Decomposition. USENIX ATC (2024)
Xinyang Huang, Junxue Zhang, Xiaodian Cheng, Hong Zhang, Yilun Jin, Shuihai Hu, Han Tian, Kai Chen
Accelerating Privacy-Preserving Machine Learning With GeniBatch. EuroSys (2024)
Yilun Jin, Wei Yin, Haoseng Wang, Fang He
Capturing word positions does help: A multi-element hypergraph gated attention network for document classification. Expert Syst. Appl. 251 (2024)
Wenxue Li, Xiangzhou Liu, Yuxuan Li, Yilun Jin, Han Tian, Zhizhen Zhong, Guyue Liu, Ying Zhang, Kai Chen
Understanding Communication Characteristics of Distributed Training. APNet (2024)
Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang
PackVFL: Efficient HE Packing for Vertical Federated Learning. CoRR (2024)
Yilun Jin, Yuhang Zhang, Zhiwen Gu, Jian Zhao, Zhihong Luo, Yanhan Zeng, Yongfu Li
A Dual-Output Picowatt Hybrid Voltage Reference with Digital Trimming Technique. NEWCAS (2023)
Yilun Jin, Yang Liu, Kai Chen, Qiang Tang
Federated Learning without Full Labels: A Survey. IEEE Data Eng. Bull. 46 (1) (2023)
Weiyan Wang, Yiming Zhang, Yilun Jin, Han Tian, Li Chen
MDP: Model Decomposition and Parallelization of Vision Transformer for Distributed Edge Inference. MSN (2023)
Yilun Jin, Yang Liu, Kai Chen, Qiang Yang
Federated Learning without Full Labels: A Survey. CoRR (2023)
Haosen Wang, Pan Tang, Hanyue Kong, Yilun Jin, Chunqi Wu, Linghong Zhou
DHCF: Dual disentangled-view hierarchical contrastive learning for fake news detection on social media. Inf. Sci. 645 (2023)
Yilun Jin, Kai Chen, Qiang Yang
Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. KDD (2023)
Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, Xin Jin
Scalable and Efficient Full-Graph GNN Training for Large Graphs. Proc. ACM Manag. Data 1 (2) (2023)
Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao Liu, Han Tian, Qian Xu, Kai Chen
A Survey on Vertical Federated Learning: From a Layered Perspective. CoRR (2023)
Mingxuan Fan, Yilun Jin, Liu Yang, Zhenghang Ren, Kai Chen
VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing. CoRR (2023)
Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
Secure Forward Aggregation for Vertical Federated Neural Networks. FL@IJCAI (2022)
Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
Secure Forward Aggregation for Vertical Federated Neural Networks. CoRR (2022)
Xiaoling Huang, Zhenghui Li, Yilun Jin, Wenyu Zhang
Fair-AdaBoost: Extending AdaBoost method to achieve fair classification. Expert Syst. Appl. 202 (2022)
Yilun Jin, Kai Chen, Qiang Yang
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting. KDD (2022)
Guojie Song, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin
Deep Convolutional Neural Network Based Medical Concept Normalization. IEEE Trans. Big Data 8 (5) (2022)
Yilun Jin, Yanan Liu, Wenyu Zhang, Shuai Zhang, Yu Lou
A novel multi-stage ensemble model with multiple K-means-based selective undersampling: An application in credit scoring. J. Intell. Fuzzy Syst. 40 (5) (2021)
Qingqing Long, Yilun Jin, Yi Wu, Guojie Song
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. CoRR (2021)
Yilun Jin, Wenyu Zhang, Xin Wu, Yanan Liu, Zeqian Hu
A Novel Multi-Stage Ensemble Model With a Hybrid Genetic Algorithm for Credit Scoring on Imbalanced Data. IEEE Access 9 (2021)
Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang
SecureBoost: A Lossless Federated Learning Framework. IEEE Intell. Syst. 36 (6) (2021)
Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. AAAI (2021)
Chang Liu, Lixin Fan, KamWoh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang
Ternary Hashing. CoRR (2021)
Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications. CoRR (2021)
Qingqing Long, Yilun Jin, Yi Wu, Guojie Song
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. WWW (2021)
Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma
EPNE: Evolutionary Pattern Preserving Network Embedding. CoRR (2020)
Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin
Graph Structural-topic Neural Network. CoRR (2020)
Shuwen Yang, Guojie Song, Yilun Jin, Lun Du
Domain Adaptive Classification on Heterogeneous Information Networks. IJCAI (2020)
Yilun Jin, Lixin Fan, KamWoh Ng, Ce Ju, Qiang Yang
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. CoRR (2020)
Yilun Jin, Guojie Song, Chuan Shi
GraLSP: Graph Neural Networks with Local Structural Patterns. AAAI (2020)
Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin
Graph Structural-topic Neural Network. KDD (2020)
Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang
A Survey towards Federated Semi-supervised Learning. CoRR (2020)
Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma
EPNE: Evolutionary Pattern Preserving Network Embedding. ECAI (2020)
Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin
Active Domain Transfer on Network Embedding. WWW (2020)
Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang
SecureBoost: A Lossless Federated Learning Framework. CoRR (2019)
Yilun Jin, Guojie Song, Chuan Shi
GraLSP: Graph Neural Networks with Local Structural Patterns. CoRR (2019)
Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin
DANE: Domain Adaptive Network Embedding. IJCAI (2019)
Yi Wu, Yilun Jin, Azusa Yokoyama, Chao Wang, Yongfu Li, Yan Liu, Guoxing Wang
Live Demonstration: An EEG-Based Comparative Study of Light Color Effect on Mental Stress Relief Using an Integrated Mobile Application. BioCAS (2019)
Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin
DANE: Domain Adaptive Network Embedding. CoRR (2019)
Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. CIKM (2019)
Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, Wei Xu, Nasir Uddin Ahmed, Md. Shakil Ahmed, Yilun Jin, Yingjie Chen, Jingxuan Wen, Wenxin Li
ICFVR 2017: 3rd International Competition on Finger Vein Recognition. CoRR (2018)
Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, Wei Xu, Nasir Uddin Ahmed, Md. Shakil Ahmed, Yilun Jin, Yingjie Chen, Jingxuan Wen, Wenxin Li
ICFVR 2017: 3rd international competition on finger vein recognition. IJCB (2017)