A Simplex Armijo Downhill Algorithm for Optimizing Statistical Machine Translation Decoding Parameters. - Bing Zhao; Shengyuan Chen (HLT-NAACL (Short Papers), 2009)

Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization. - M. Reza Peyghami; Kevin Yang; Shengyuan Chen; Zijiang Yang 001; Masoud Ataei (Canadian AI, 2018)

Lehmer Transform and its Theoretical Properties. - Masoud Ataei; Shengyuan Chen; Xiaogang Wang (CoRR, 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)

Time-homogeneous top-K ranking using tensor decompositions. - Masoud Ataei; Shengyuan Chen; Zijiang Yang 001; M. Reza Peyghami (Optim. Methods Softw., 2020)

Fair Benchmark for Unsupervised Node Representation Learning. - Zhihao Guo; Shengyuan Chen; Xiao Huang 001; Zhiqiang Qian; Chunsing Yu; Yan Xu; Fang Ding (Algorithms, 2022)

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. - Zirui Liu 001; Shengyuan Chen; Kaixiong Zhou; Daochen Zha; Xiao Huang 001; Xia Hu 001 (CoRR, 2022)

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks. - Kaixiong Zhou; Zhenyu Zhang 015; Shengyuan Chen; Tianlong Chen 001; Xiao Huang 001; Zhangyang Wang; Xia Hu 001 (CoRR, 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)

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. - Yuanchen Bei; Hao Chen 062; Shengyuan Chen; Xiao Huang 001; Sheng Zhou 004; Feiran Huang (CIKM, 2023)

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. - Zirui Liu 001; Shengyuan Chen; Kaixiong Zhou; Daochen Zha; Xiao Huang 001; Xia Hu 001 (ICML, 2023)

Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs. - Shengyuan Chen; Yunfeng Cai; Huang Fang; Xiao Huang 001; Mingming Sun 001 (NeurIPS, 2023)

Abnormal Traffic Detection: Traffic Feature Extraction and DAE-GAN With Efficient Data Augmentation. - Zecheng Li 001; Shengyuan Chen; Hongshu Dai; Dunyuan Xu; Cheng-Kang Chu; Bin Xiao 001 (IEEE Trans. Reliab., 2023)

Entity Alignment with Noisy Annotations from Large Language Models. - Shengyuan Chen; Qinggang Zhang; Junnan Dong; Wen Hua; Qing Li 001; Xiao Huang 001 (NeurIPS, 2024)

Neuro-Symbolic Entity Alignment via Variational Inference. - Shengyuan Chen; Qinggang Zhang; Junnan Dong; Wen Hua; Jiannong Cao 001; Xiao Huang 001 (CoRR, 2024)

Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation. - Chuang Zhou 002; Zhu Wang; Shengyuan Chen; Jiahe Du; Qiyuan Zheng; Zhaozhuo Xu; Xiao Huang 001 (ACL (1), 2025)

Automated Heterogeneous Network learning with Non-Recursive Message Passing. - Zhaoqing Li; Maiqi Jiang; Shengyuan Chen; Bo Li; Guorong Chen; Xiao Huang (CoRR, 2025)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models. - Qinggang Zhang; Shengyuan Chen; Yuanchen Bei; Zheng Yuan; Huachi Zhou; Zijin Hong; Junnan Dong; Hao Chen 062; Yi Chang; Xiao Huang 001 (CoRR, 2025)

Graph Cross-Correlated Network for Recommendation. - Hao Chen 062; Yuanchen Bei; Wenbing Huang 001; Shengyuan Chen; Feiran Huang; Xiao Huang 001 (IEEE Trans. Knowl. Data Eng., 2025)

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation. - Zhishang Xiang; Chuanjie Wu; Qinggang Zhang; Shengyuan Chen; Zijin Hong; Xiao Huang 001; Jinsong Su (CoRR, 2025)

LAG: Logic-Augmented Generation from a Cartesian Perspective. - Yilin Xiao 002; Chuang Zhou 002; Qinggang Zhang; Su Dong; Shengyuan Chen; Xiao Huang 001 (CoRR, 2025)

You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures. - Shengyuan Chen; Chuang Zhou 002; Zheng Yuan; Qinggang Zhang; Zeyang Cui; Hao Chen 062; Yilin Xiao 002; Jiannong Cao 001; Xiao Huang 001 (CoRR, 2025)