Yilun Jin

According to our database, Yilun Jin authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A graph-powered large-scale fraud detection system.

Zhao Li, Biao Wang, Jiaming Huang, Yilun Jin, Zenghui Xu, Ji Zhang, Jianliang Gao

Int. J. Mach. Learn. Cybern., January, 2024

Accelerating Privacy-Preserving Machine Learning With GeniBatch.

Xinyang Huang, Junxue Zhang, Xiaodian Cheng, Hong Zhang, Yilun Jin, Shuihai Hu, Han Tian, Kai Chen

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

DHCF: Dual disentangled-view hierarchical contrastive learning for fake news detection on social media.

Haosen Wang, Pan Tang, Hanyue Kong, Yilun Jin, Chunqi Wu, Linghong Zhou

Inf. Sci., October, 2023

Scalable and Efficient Full-Graph GNN Training for Large Graphs.

Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, Xin Jin

Proc. ACM Manag. Data, 2023

Federated Learning without Full Labels: A Survey.

Yilun Jin, Yang Liu, Kai Chen, Qiang Tang

IEEE Data Eng. Bull., 2023

VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing.

Mingxuan Fan, Yilun Jin, Liu Yang, Zhenghang Ren, Kai Chen

CoRR, 2023

A Survey on Vertical Federated Learning: From a Layered Perspective.

Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao Liu, Han Tian, Qian Xu, Kai Chen

CoRR, 2023

Federated Learning without Full Labels: A Survey.

Yilun Jin, Yang Liu, Kai Chen, Qiang Yang

CoRR, 2023

A Dual-Output Picowatt Hybrid Voltage Reference with Digital Trimming Technique.

Yilun Jin, Yuhang Zhang, Zhiwen Gu, Jian Zhao, Zhihong Luo, Yanhan Zeng, Yongfu Li

Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities.

Yilun Jin, Kai Chen, Qiang Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Deep Convolutional Neural Network Based Medical Concept Normalization.

Guojie Song, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin

IEEE Trans. Big Data, 2022

Fair-AdaBoost: Extending AdaBoost method to achieve fair classification.

Xiaoling Huang, Zhenghui Li, Yilun Jin, Wenyu Zhang

Expert Syst. Appl., 2022

Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting.

Yilun Jin, Kai Chen, Qiang Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Secure Forward Aggregation for Vertical Federated Neural Networks.

Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

2021

A novel multi-stage ensemble model with multiple K-means-based selective undersampling: An application in credit scoring.

Yilun Jin, Yanan Liu, Wenyu Zhang, Shuai Zhang, Yu Lou

J. Intell. Fuzzy Syst., 2021

SecureBoost: A Lossless Federated Learning Framework.

Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang

IEEE Intell. Syst., 2021

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications.

Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen

CoRR, 2021

Ternary Hashing.

Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang

CoRR, 2021

A Novel Multi-Stage Ensemble Model With a Hybrid Genetic Algorithm for Credit Scoring on Imbalanced Data.

Yilun Jin, Wenyu Zhang, Xin Wu, Yanan Liu, Zeqian Hu

IEEE Access, 2021

Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels.

Qingqing Long, Yilun Jin, Yi Wu, Guojie Song

Proceedings of the WWW '21: The Web Conference 2021, 2021

GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks.

Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness.

Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang

CoRR, 2020

A Survey towards Federated Semi-supervised Learning.

Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang

CoRR, 2020

Active Domain Transfer on Network Embedding.

Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Graph Structural-topic Neural Network.

Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Domain Adaptive Classification on Heterogeneous Information Networks.

Shuwen Yang, Guojie Song, Yilun Jin, Lun Du

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

EPNE: Evolutionary Pattern Preserving Network Embedding.

Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

GraLSP: Graph Neural Networks with Local Structural Patterns.

Yilun Jin, Guojie Song, Chuan Shi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

SecureBoost: A Lossless Federated Learning Framework.

Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang

CoRR, 2019

DANE: Domain Adaptive Network Embedding.

Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach.

Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Live Demonstration: An EEG-Based Comparative Study of Light Color Effect on Mental Stress Relief Using an Integrated Mobile Application.

Yi Wu, Yilun Jin, Azusa Yokoyama, Chao Wang, Yongfu Li, Yan Liu, Guoxing Wang

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2017

ICFVR 2017: 3rd international competition on finger vein recognition.

Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, Wei Xu, Nasir Uddin Ahmed, Md. Shakil Ahmed, Yilun Jin, Yingjie Chen, Jingxuan Wen, Wenxin Li

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017