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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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publications
Meta Diagram based Active Social Networks Alignment
Yuxiang Ren, Charu C. Aggarwal and Jiawei Zhang
IEEE International Conference on Data Engineering (ICDE), Macau SAR, China, April 8-12, 2019
ActiveIter: Meta Diagram based Active Learning in Social Networks Alignment
Yuxiang Ren, Charu C. Aggarwal and Jiawei Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Deep Heterogeneous Social Network Alignment
Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, Philip S. Yu
The 5th IEEE International Conference on Collaboration and Internet Computing, Los Angeles, USA, December 12 - 14, 2019
HDGI: An Unsupervised Graph Neural Network for Representation Learning in Heterogeneous Graph
Yuxiang Ren, Bo Liu, Peng Dai, Jiawei Zhang, Chao Huang and Liefeng Bo
AAAI-20 Workshop on "Deep Learning on Graphs: Methodologies and Applications (DLGMA)", New York, USA, February 7-12, 2020
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
Yuxiang Ren, Lin Meng, and Jiawei Zhang
31st ACM Conference on Hypertext and Social Media (HT’20), Virtual Edition, July 13-15, 2020
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization
Jiyang Bai, Yuxiang Ren and Jiawei Zhang
IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM ’20), Virtual, December 7-10, 2020
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
Yuxiang Ren, Bo Wang, Jiawei Zhang and Yi Chang
20th IEEE International Conference on Data Mining, Sorrento, Italy, November 17-20, 2020
Label Contrastive Coding based Graph Neural Network for Graph Classification
Yuxiang Ren, Jiyang Bai and Jiawei Zhang
The 26th International Conference on Database Systems for Advanced Applications (DASFAA ’21), Hybrid Conference, April 11-14, 2021
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai and Liefeng Bo
IEEE International Conference on Data Engineering (ICDE), Chania, Greece, April 19-22, 2021
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization
Jiyang Bai, Yuxiang Ren and Jiawei Zhang
The 2021 International Joint Conference on Neural Networks (IJCNN ’21), Virtual Event, July 18-22, 2021
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention
Yuxiang Ren and Jiawei Zhang
The 2021 International Joint Conference on Neural Networks (IJCNN ’21), Virtual Event, July 18-22, 2021
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network
Jiyang Bai, Yuxiang Ren and Jiawei Zhang
The 2021 International Joint Conference on Neural Networks (IJCNN ’21), Virtual Event, July 18-22, 2021
Adaptive Momentum with Discriminative Weight for Neural Network Stochastic Optimization
Jiyang Bai, Yuxiang Ren and Jiawei Zhang
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
Jiyang Bai, Yuxiang Ren and Jiawei Zhang
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022
Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection
Jin Meng, Yuxiang Ren and Jiawei Zhang
The 28th International Conference on Database Systems for Advanced Applications (DASFAA ’23), Tianjin, China, April 17-20, 2023, 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
2023 IEEE 34th International Symposium on Software Reliability Engineer- ing(ISSRE ’23 Industry Track), Florence, Italy, October 9-12, 2023, 2023
Fast Electromagnetic Scattering Calculation for UAV Targets Based on Graph Neural Networks
Haoran Sun, Maokun Li, Yuxiang Ren, Fan Yang, Shenheng Xu
2024 International Applied Computational Electromagnetics Society Symposium(ACES-China 2024), Xi’an, China, August 16-19, 2024, 2024
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models.
Tianyu Zhang, Yuxiang Ren♢, Chengbin Hou, Hairong Lv, and Xuegong Zhang
International Conference on Bioinformatics and Biomedicine (IEEE BIBM’24), 2024
CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations.
Tianyu Zhang, Yuxiang Ren♢, Wenzheng Feng, Weitao Du, Xuecang Zhang
The 29th International Conference on Database Systems for Advanced Applications (DASFAA ’24), Gifu, Japan, July 2-5, 2024., 2024
Characterizing the Influence of Topology on Graph Learning Tasks
Kailong Wu, Xie Yule, Jiaxin Ding, Yuxiang Ren, Luoyi Fu, Xinbing Wang, Chenghu Zhou
The 29th International Conference on Database Systems for Advanced Applications (DASFAA ’24), Gifu, Japan, July 2-5, 2024, 2024
LogRAG: Semi-Supervised Log-based Anomaly Detection with Retrieval-Augmented Generation.
Wanhao Zhang, Qianli Zhang, Enyu Yu, Yuxiang Ren♢, Yeqing Meng, Mingxi Qiu and Jilong Wang
IEEE International Conference on Web Services(IEEE ICWS’24), Shenzhen, China, July 7-13, 202, 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 and Jilong Wang
The 35th IEEE International Symposium on Software Reliability Engineering(ISSRE ’24). , 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Wenbing Huang
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS’24), 2024
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li
The Web Conference 2025 (WWW ’25 Oral), 2025
Using LLMs for Node Generation in Few-shot Learning on Text-Attributed Graph
Jianxiang Yu, Yuxiang Ren♢, Chenghua Gong, Jiaqi Tan, Xiang Li and Xuecang Zhang
Thirty-Eighth AAAI Conference on Artificial Intelligence(AAAI’25), 2025
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation.
Shengyin Sun, Wenhao Yu, Yuxiang Ren♢, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu and Chen Ma
Thirty-Eighth AAAI Conference on Artificial Intelligence(AAAI ’25 Oral), 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, Xie Kun, Dandan Li, Pei Zhang, Chengbo Zhang, Yuxiang Ren♢, Yan Ma, Xiaohong Huang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25 Finding), 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 BIOINFORMATIC, 2025
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.
Shengyin Sun, Yuxiang Ren♢, Jiehao Chen, and Chen Ma
The 30th International Conference on Database Systems for Advanced Applications (DASFAA ’25 Oral)., 2025
Advancing Graph Foundation Models: A Data-Centric Perspective.
Yuhan Li, Yuyao Wang, Jianheng Tang, Heng Chang, Yuxiang Ren, Jia Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2025 (SIGKDD ’25), 2025
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
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Undergraduate course, University 1, Department, 2014
Teaching experience 2
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Workshop, University 1, Department, 2015