Shengyuan Chen

29 papers A* 5A 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graph-based Agent Memory: Taxonomy, Techniques, and Applications. CoRR Chang Yang, Chuang Zhou, Yilin Xiao, Su Dong, Luyao Zhuang, Yujing Zhang, Zhu Wang, Zijin Hong, Zheng Yuan, Zhishang Xiang, Shengyuan Chen, Huachi Zhou, Qinggang Zhang, Ninghao Liu, Jinsong Su, Xinrun Wang, Yi Chang, Xiao Huang
2026	J	`jnl`	Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs. CoRR Su Dong, Qinggang Zhang, Yilin Xiao, Shengyuan Chen, Chuang Zhou, Xiao Huang
2026	A*	`conf`	You Don't Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures. AAAI Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang
2025	J	`jnl`	A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models. CoRR Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Hao Chen, Yi Chang, Xiao Huang
2025	J	`jnl`	Automated Heterogeneous Network learning with Non-Recursive Message Passing. CoRR Zhaoqing Li, Maiqi Jiang, Shengyuan Chen, Bo Li, Guorong Chen, Xiao Huang
2025	J	`jnl`	Graph Cross-Correlated Network for Recommendation. IEEE Trans. Knowl. Data Eng. Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang
2025	J	`jnl`	LAG: Logic-Augmented Generation from a Cartesian Perspective. CoRR Yilin Xiao, Chuang Zhou, Qinggang Zhang, Su Dong, Shengyuan Chen, Xiao Huang
2025	J	`jnl`	LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora. CoRR Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang
2025	A*	`conf`	Structure-Guided Large Language Models for Text-to-SQL Generation. ICML Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang
2025	—	`conf`	Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation. ACL (1) Chuang Zhou, Zhu Wang, Shengyuan Chen, Jiahe Du, Qiyuan Zheng, Zhaozhuo Xu, Xiao Huang
2025	J	`jnl`	When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation. CoRR Zhishang Xiang, Chuanjie Wu, Qinggang Zhang, Shengyuan Chen, Zijin Hong, Xiao Huang, Jinsong Su
2025	J	`jnl`	You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures. CoRR Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang
2024	A*	`conf`	Entity Alignment with Noisy Annotations from Large Language Models. NeurIPS Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang
2024	J	`jnl`	Entity Alignment with Noisy Annotations from Large Language Models. CoRR Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang
2024	J	`jnl`	Graph Cross-Correlated Network for Recommendation. CoRR Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang
2024	J	`jnl`	Neuro-Symbolic Entity Alignment via Variational Inference. CoRR Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang
2023	J	`jnl`	Abnormal Traffic Detection: Traffic Feature Extraction and DAE-GAN With Efficient Data Augmentation. IEEE Trans. Reliab. Zecheng Li, Shengyuan Chen, Hongshu Dai, Dunyuan Xu, Cheng-Kang Chu, Bin Xiao
2023	A*	`conf`	Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs. NeurIPS Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun
2023	A	`conf`	Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. CIKM Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang
2023	A*	`conf`	RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2022	J	`jnl`	Early childhood learning analytics: A case study of Learning Jungle. Frontiers Appl. Math. Stat. Rui Liang, Hongmei Zhu, Grant Lawson, Zhao Lian, Yuqi Huang, Shengyuan Chen
2022	J	`jnl`	Fair Benchmark for Unsupervised Node Representation Learning. Algorithms Zhihao Guo, Shengyuan Chen, Xiao Huang, Zhiqiang Qian, Chunsing Yu, Yan Xu, Fang Ding
2022	J	`jnl`	QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks. CoRR Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu
2022	J	`jnl`	RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. CoRR Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2020	J	`jnl`	Time-homogeneous top-K ranking using tensor decompositions. Optim. Methods Softw. Masoud Ataei, Shengyuan Chen, Zijiang Yang, M. Reza Peyghami
2018	—	`conf`	Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization. Canadian AI M. Reza Peyghami, Kevin Yang, Shengyuan Chen, Zijiang Yang, Masoud Ataei
2018	J	`jnl`	Complexity of Interior Point Methods for a Class of Linear Complementarity Problems Using a Kernel Function with Trigonometric Growth Term. J. Optim. Theory Appl. Sajad Fathi Hafshejani, Alireza Fakharzadeh Jahromi, Mohammad Reza Peyghami, Shengyuan Chen
2018	J	`jnl`	Lehmer Transform and its Theoretical Properties. CoRR Masoud Ataei, Shengyuan Chen, Xiaogang Wang
2009	—	`conf`	A Simplex Armijo Downhill Algorithm for Optimizing Statistical Machine Translation Decoding Parameters. HLT-NAACL (Short Papers) Bing Zhao, Shengyuan Chen