Yuxiang Ren - RankMe

57 papers A* 7A 2B 4C 1Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiffM IEEE J. Biomed. Health Informatics Wen Ye, Zhetao Guo, Yuxiang Ren, Yi Tian, Yushi Shen, Zan Chen, Junjun He, Jing Ke, Yiqing Shen
2025	—	`conf`	Advancing Graph Foundation Models: A Data-Centric Perspective. KDD (2) Yuhan Li, Yuyao Wang, Jianheng Tang, Heng Chang, Yuxiang Ren, Jia Li
2025	J	`jnl`	DDN-SLAM: Real Time Dense Dynamic Neural Implicit SLAM. IEEE Robotics Autom. Lett. Mingrui Li, Zhetao Guo, Tianchen Deng, Yiming Zhou, Yuxiang Ren, Hongyu Wang
2025	A*	`conf`	G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. WWW Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li
2025	J	`jnl`	G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. CoRR Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li
2025	A*	`conf`	GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. AAAI Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma
2025	J	`jnl`	GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. CoRR Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma
2025	—	`conf`	Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. DASFAA (6) Shengyin Sun, Yuxiang Ren, Jiehao Chen, Chen Ma
2025	A*	`conf`	Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. AAAI Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
2025	J	`jnl`	LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning. CoRR Junyu Chen, Junzhuo Li, Zhen Peng, Wenjie Wang, Yuxiang Ren, Long Shi, Xuming Hu
2025	J	`jnl`	MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction. IEEE Robotics Autom. Lett. Heng Zhou, Zhetao Guo, Yuxiang Ren, Shuhong Liu, Lechen Zhang, Kaidi Zhang, Mingrui Li
2025	—	`conf`	STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework. ACL (Findings) Wenhao Liu, Zhenyi Lu, Xinyu Hu, Jerry Zhang, Dailin Li, Jiacheng Cen, Huilin Cao, Haiteng Wang, Yuhan Li, Kun Xie, Dandan Li, Pei Zhang, Chengbo Zhang, Yuxiang Ren, Xiaohong Huang, Yan Ma
2025	J	`jnl`	STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework. CoRR Wenhao Liu, Zhenyi Lu, Xinyu Hu, Jierui Zhang, Dailin Li, Jiacheng Cen, Huilin Cao, Haiteng Wang, Yuhan Li, Kun Xie, Dandan Li, Pei Zhang, Chengbo Zhang, Yuxiang Ren, Xiaohong Huang, Yan Ma
2025	J	`jnl`	Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization. BMC Bioinform. Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiao-Yu Zhang, Weitao Du
2025	J	`jnl`	Siamese Foundation Models for Crystal Structure Prediction. CoRR Liming Wu, Wen-bing Huang, Rui Jiao, Jianxing Huang, Liwei Liu, Yipeng Zhou, Hao Sun, Yang Liu, Fuchun Sun, Yuxiang Ren, Jirong Wen
2024	A*	`conf`	Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NeurIPS Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang
2024	J	`jnl`	Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? CoRR Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang
2024	—	`conf`	CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. DASFAA (6) Tianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang
2024	—	`conf`	Characterizing the Influence of Topology on Graph Learning Tasks. DASFAA (2) Kailong Wu, Yule Xie, Jiaxin Ding, Yuxiang Ren, Luoyi Fu, Xinbing Wang, Chenghu Zhou
2024	J	`jnl`	Characterizing the Influence of Topology on Graph Learning Tasks. CoRR Kailong Wu, Yule Xie, Jiaxin Ding, Yuxiang Ren, Luoyi Fu, Xinbing Wang, Chenghu Zhou
2024	A	`conf`	Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection. ISSRE Wanhao Zhang, Qianli Zhang, Enyu Yu, Yuxiang Ren, Yeqing Meng, Mingxi Qiu, Jilong Wang
2024	A	`conf`	LogRAG: Semi-Supervised Log-based Anomaly Detection with Retrieval-Augmented Generation. ICWS Wanhao Zhang, Qianli Zhang, Enyu Yu, Yuxiang Ren, Yeqing Meng, Mingxi Qiu, Jilong Wang
2024	J	`jnl`	MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction. CoRR Heng Zhou, Zhetao Guo, Shuhong Liu, Lechen Zhang, Qihao Wang, Yuxiang Ren, Mingrui Li
2024	—	`conf`	Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models. BIBM Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang
2024	J	`jnl`	Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models. CoRR Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang
2024	J	`jnl`	Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization. CoRR Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiaoyu Zhang, Weitao Du
2024	J	`jnl`	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. Remote. Sens. Zhihao Song, Lin Zhao, Qia Ye, Yuxiang Ren, Ruming Chen, Bin Chen
2023	—	`conf`	Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection. DASFAA (4) Lin Meng, Yuxiang Ren, Jiawei Zhang
2023	J	`jnl`	Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). CoRR Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
2023	—	`conf`	HRCA: A Heterogeneous Graph-based Adaptive Root Cause Analysis Framework. ISSREW Enyu Yu, Hui Dong, Yuxiang Ren, Minzhi Yan, Xuecang Zhang, Yi Yang, Le Yue, Zhengbin Huang
2023	J	`jnl`	Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. CoRR Shengyin Sun, Yuxiang Ren, Chen Ma, Xuecang Zhang
2022	J	`jnl`	Adaptive momentum with discriminative weight for neural network stochastic optimization. Int. J. Intell. Syst. Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2022	J	`jnl`	Measuring and sampling: A metric-guided subgraph learning framework for graph neural network. Int. J. Intell. Syst. Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2021	J	`jnl`	ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment. IEEE Trans. Knowl. Data Eng. Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2021	J	`jnl`	Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
2021	B	`conf`	BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. IJCNN Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2021	J	`jnl`	Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning. CoRR Yuxiang Ren, Jiawei Zhang
2021	C	`conf`	Constant Force Drawing of Chemical Fibers. ICCC Ruoyu Fang, Cheng Cai, Yuxiang Ren
2021	A*	`conf`	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
2021	B	`conf`	Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention. IJCNN Yuxiang Ren, Jiawei Zhang
2021	—	`conf`	Label Contrastive Coding Based Graph Neural Network for Graph Classification. DASFAA (1) Yuxiang Ren, Jiyang Bai, Jiawei Zhang
2021	J	`jnl`	Label Contrastive Coding based Graph Neural Network for Graph Classification. CoRR Yuxiang Ren, Jiyang Bai, Jiawei Zhang
2021	J	`jnl`	Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network. CoRR Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2021	B	`conf`	Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. IJCNN Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2020	A*	`conf`	Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
2020	B	`conf`	DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization. ASONAM Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2020	J	`jnl`	HGAT: Hierarchical Graph Attention Network for Fake News Detection. CoRR Yuxiang Ren, Jiawei Zhang
2020	J	`jnl`	Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. CoRR Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2020	—	`conf`	Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. HT Yuxiang Ren, Lin Meng, Jiawei Zhang
2020	J	`jnl`	Theoretical Investigation on Microcavity Coupler for Terahertz Quantum-Well Infrared Photodetectors. IEEE Access Xuguang Guo, Yuxiang Ren, Guixue Zhang, Anqi Yu, Xiaoshuang Chen, Yiming Zhu
2020	J	`jnl`	Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics. Nucleic Acids Res. Yunxia Wang, Song Zhang, Fengcheng Li, Ying Zhou, Ying Zhang, Zhengwen Wang, Runyuan Zhang, Jiang Zhu, Yuxiang Ren, Ying Tan, Chu Qin, Yinghong Li, Xiaoxu Li, Yuzong Chen, Feng Zhu
2019	—	`conf`	Deep Heterogeneous Social Network Alignment. CogMI Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, Philip S. Yu
2019	J	`jnl`	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
2019	J	`jnl`	Heterogeneous Deep Graph Infomax. CoRR Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang
2019	A*	`conf`	Meta Diagram Based Active Social Networks Alignment. ICDE Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2019	J	`jnl`	Meta Diagram based Active Social Networks Alignment. CoRR Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2019	J	`jnl`	Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. CoRR Yuxiang Ren, Lin Meng, Jiawei Zhang