Deep Heterogeneous Social Network Alignment. - Lin Meng; Yuxiang Ren; Jiawei Zhang 001; Fanghua Ye 001; Philip S. Yu (CogMI, 2019)

Meta Diagram Based Active Social Networks Alignment. - Yuxiang Ren; Charu C. Aggarwal; Jiawei Zhang 001 (ICDE, 2019)

Heterogeneous Deep Graph Infomax. - Yuxiang Ren; Bo Liu 005; Chao Huang 001; Peng Dai 001; Liefeng Bo; Jiawei Zhang 001 (CoRR, 2019)

DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization. - Jiyang Bai; Yuxiang Ren; Jiawei Zhang 001 (ASONAM, 2020)

Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. - Yuxiang Ren; Lin Meng; Jiawei Zhang 001 (HT, 2020)

Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. - Yuxiang Ren; Bo Wang 069; Jiawei Zhang 001; Yi Chang 001 (ICDM, 2020)

Theoretical Investigation on Microcavity Coupler for Terahertz Quantum-Well Infrared Photodetectors. - Xuguang Guo; Yuxiang Ren; Guixue Zhang; Anqi Yu; Xiaoshuang Chen; Yiming Zhu (IEEE Access, 2020)

HGAT: Hierarchical Graph Attention Network for Fake News Detection. - Yuxiang Ren; Jiawei Zhang 001 (CoRR, 2020)

Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics. - Yunxia Wang; Song Zhang; Fengcheng Li; Ying Zhou; Ying Zhang 061; Zhengwen Wang; Runyuan Zhang; Jiang Zhu; Yuxiang Ren; Ying Tan; Chu Qin; Yinghong Li 002; et al. (Nucleic Acids Res., 2020)

Label Contrastive Coding Based Graph Neural Network for Graph Classification. - Yuxiang Ren; Jiyang Bai; Jiawei Zhang 001 (DASFAA (1), 2021)

Constant Force Drawing of Chemical Fibers. - Ruoyu Fang; Cheng Cai; Yuxiang Ren (ICCC, 2021)

EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. - Yuxiang Ren; Hao Zhu 010; Jiawei Zhang 001; Peng Dai 001; Liefeng Bo (ICDE, 2021)

Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. - Jiyang Bai; Yuxiang Ren; Jiawei Zhang 001 (IJCNN, 2021)

BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. - Jiyang Bai; Yuxiang Ren; Jiawei Zhang 001 (IJCNN, 2021)

Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention. - Yuxiang Ren; Jiawei Zhang 001 (IJCNN, 2021)

Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning. - Yuxiang Ren; Jiawei Zhang 001 (CoRR, 2021)

ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment. - Yuxiang Ren; Charu C. Aggarwal; Jiawei Zhang 001 (IEEE Trans. Knowl. Data Eng., 2021)

Adaptive momentum with discriminative weight for neural network stochastic optimization. - Jiyang Bai; Yuxiang Ren; Jiawei Zhang 001 (Int. J. Intell. Syst., 2022)

Measuring and sampling: A metric-guided subgraph learning framework for graph neural network. - Jiyang Bai; Yuxiang Ren; Jiawei Zhang 001 (Int. J. Intell. Syst., 2022)

Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection. - Lin Meng; Yuxiang Ren; Jiawei Zhang 001 (DASFAA (4), 2023)

HRCA: A Heterogeneous Graph-based Adaptive Root Cause Analysis Framework. - Enyu Yu; Hui Dong; Yuxiang Ren; Minzhi Yan; Xuecang Zhang; Yi Yang; Le Yue; Zhengbin Huang (ISSREW, 2023)

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (CoRR, 2023)

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. - Shengyin Sun; Yuxiang Ren; Chen Ma 001; Xuecang Zhang (CoRR, 2023)

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models. - Tianyu Zhang; Yuxiang Ren; Chengbin Hou; Hairong Lv; Xuegong Zhang (BIBM, 2024)

Characterizing the Influence of Topology on Graph Learning Tasks. - Kailong Wu; Yule Xie; Jiaxin Ding 001; Yuxiang Ren; Luoyi Fu; Xinbing Wang; Chenghu Zhou (DASFAA (2), 2024)

CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. - Tianyu Zhang; Yuxiang Ren; Wenzheng Feng; Weitao Du; Xuecang Zhang (DASFAA (6), 2024)

LogRAG: Semi-Supervised Log-based Anomaly Detection with Retrieval-Augmented Generation. - Wanhao Zhang; Qianli Zhang; Enyu Yu; Yuxiang Ren; Yeqing Meng; Mingxi Qiu; Jilong Wang 001 (ICWS, 2024)

Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection. - Wanhao Zhang; Qianli Zhang; Enyu Yu; Yuxiang Ren; Yeqing Meng; Mingxi Qiu; Jilong Wang 001 (ISSRE, 2024)

Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? - Jiacheng Cen; Anyi Li; Ning Lin; Yuxiang Ren; Zihe Wang; Wenbing Huang 001 (NeurIPS, 2024)

MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction. - Heng Zhou; Zhetao Guo; Shuhong Liu; Lechen Zhang; Qihao Wang; Yuxiang Ren; Mingrui Li (CoRR, 2024)

Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization. - Kaiwei Zhang; Yange Lin; Guangcheng Wu; Yuxiang Ren; Xuecang Zhang; Bo Wang; Xiaoyu Zhang; Weitao Du (CoRR, 2024)

The Reconstruction of FY-4A and FY-4B Cloudless Top-of-Atmosphere Radiation and Full-Coverage Particulate Matter Products Reveals the Influence of Meteorological Factors in Pollution Events. - Zhihao Song; Lin Zhao; Qia Ye; Yuxiang Ren; Ruming Chen; Bin Chen (Remote. Sens., 2024)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (AAAI, 2025)

GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. - Shengyin Sun; Wenhao Yu 014; Yuxiang Ren; Weitao Du; Liwei Liu; Xuecang Zhang; Ying Hu; Chen Ma 001 (AAAI, 2025)

STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework. - Wenhao Liu; Zhenyi Lu; Xinyu Hu; Jerry Zhang; Dailin Li; Jiacheng Cen; Huilin Cao; Haiteng Wang; Yuhan Li; Kun Xie 003; Dandan Li; Pei Zhang 003; et al. (ACL (Findings), 2025)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. - Yuhan Li 001; Xinni Zhang; Linhao Luo; Heng Chang; Yuxiang Ren; Irwin King; Jia Li 009 (WWW, 2025)

MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction. - Heng Zhou; Zhetao Guo; Yuxiang Ren; Shuhong Liu; Lechen Zhang; Kaidi Zhang; Mingrui Li (IEEE Robotics Autom. Lett., 2025)

Siamese Foundation Models for Crystal Structure Prediction. - Liming Wu; Wen-bing Huang 001; Rui Jiao; Jianxing Huang; Liwei Liu; Yipeng Zhou; Hao Sun 002; Yang Liu 005; Fuchun Sun 001; Yuxiang Ren; Jirong Wen (CoRR, 2025)

LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning. - Junyu Chen; Junzhuo Li; Zhen Peng; Wenjie Wang; Yuxiang Ren; Long Shi; Xuming Hu (CoRR, 2025)

DDN-SLAM: Real Time Dense Dynamic Neural Implicit SLAM. - Mingrui Li; Zhetao Guo; Tianchen Deng; Yiming Zhou; Yuxiang Ren; Hongyu Wang 001 (IEEE Robotics Autom. Lett., 2025)

STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework. - Wenhao Liu; Zhenyi Lu; Xinyu Hu; Jierui Zhang; Dailin Li; Jiacheng Cen; Huilin Cao; Haiteng Wang; Yuhan Li; Kun Xie 003; Dandan Li; Pei Zhang 003; et al. (CoRR, 2025)

Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization. - Kaiwei Zhang; Yange Lin; Guangcheng Wu; Yuxiang Ren; Xuecang Zhang; Bo Wang; Xiao-Yu Zhang; Weitao Du (BMC Bioinform., 2025)