Shengyuan Chen

According to our database, Shengyuan Chen authored at least 16 papers between 2009 and 2025.

Collaborative distances:

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

2025

Graph Cross-Correlated Network for Recommendation.

Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang

IEEE Trans. Knowl. Data Eng., February, 2025

2024

Neuro-Symbolic Entity Alignment via Variational Inference.

Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang

CoRR, 2024

Entity Alignment with Noisy Annotations from Large Language Models.

Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang

CoRR, 2024

2023

Abnormal Traffic Detection: Traffic Feature Extraction and DAE-GAN With Efficient Data Augmentation.

Zecheng Li, Shengyuan Chen, Hongshu Dai, Dunyuan Xu, Cheng-Kang Chu, Bin Xiao

IEEE Trans. Reliab., 2023

Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs.

Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.

Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu

Proceedings of the International Conference on Machine Learning, 2023

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.

Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Early childhood learning analytics: A case study of Learning Jungle.

Rui Liang, Hongmei Zhu, Grant Lawson, Zhao Lian, Yuqi Huang, Shengyuan Chen

Frontiers Appl. Math. Stat., 2022

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.

Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu

CoRR, 2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.

Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu

CoRR, 2022

Fair Benchmark for Unsupervised Node Representation Learning.

Zhihao Guo, Shengyuan Chen, Xiao Huang, Zhiqiang Qian, Chunsing Yu, Yan Xu, Fang Ding

Algorithms, 2022

2020

Time-homogeneous top-K ranking using tensor decompositions.

Masoud Ataei, Shengyuan Chen, Zijiang Yang, M. Reza Peyghami

Optim. Methods Softw., 2020

2018

Complexity of Interior Point Methods for a Class of Linear Complementarity Problems Using a Kernel Function with Trigonometric Growth Term.

Sajad Fathi Hafshejani, Alireza Fakharzadeh Jahromi, Mohammad Reza Peyghami, Shengyuan Chen

J. Optim. Theory Appl., 2018

Lehmer Transform and its Theoretical Properties.

Masoud Ataei, Shengyuan Chen, Xiaogang Wang

CoRR, 2018

Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization.

M. Reza Peyghami, Kevin Yang, Shengyuan Chen, Zijiang Yang, Masoud Ataei

Proceedings of the Advances in Artificial Intelligence, 2018

2009

A Simplex Armijo Downhill Algorithm for Optimizing Statistical Machine Translation Decoding Parameters.

Bing Zhao, Shengyuan Chen

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009