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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
2019 IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI 2019), Los Angeles, USA, December 12–14, 2019, 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 2021), Taiwan, China, April 11–14, 2021, 2021
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Yuxiang Ren, Hao Zhu, Jiawei Zhang, Liefeng Bo, and Peng Dai
IEEE International Conference on Data Engineering (ICDE), Chania, Greece, April 19-22, 2021
BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional 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: A sampling based Graph Neural Network Optimization Framework
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 Training 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
Lin 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 Engineering (ISSRE 2023 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 2024), Shenzhen, China, July 7–13, 2024, 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
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
Junyu Chen, Junzhuo Li, Zhen Peng, Wenjie Wang, Yuxiang Ren, Long Shi, Xuming Hu
Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), 2025
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 2025 Findings), 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 BIOINFORMATICS, 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
Physics-Data Hybrid Driven Edge-Featured Graph Attention Networks for Surface Currents Learning in EM Scattering of 3D PEC Targets
Huilin Cao, Haoran Sun, Jingwei Liang, Tao Shan, Yuxiang Ren♢, Maokun Li
IEEE Transactions on Antennas and Propagation, 2025
DR-Eval: Towards Realistic and Reproducible Deep Research Evaluation
Qianqian Xie, He Zhu, Xueming Han, Qingheng Xiong, Tiantian Xia, Fanyu Meng, Jiakai Wang, Zhiqi Bai, Chengkang Jiang, Zhaohui Wang, Yubin Guo, Yuqing Wen, Jiayang Mao, Zijie Zhang, Shihao Li, Yanghai Wang, Yuxiang Ren, Junlan Feng, Jiaheng Liu
2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), 2026
HGP: An on-device personalized agent memory via hybrid graph storage
Ran Zhou, Xueming Han, Jiaheng Liu, Yuyao Zhang, Fanyu Meng, Junlan Feng, Yuxiang Ren♢
Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 Findings), 2026
Mask-Proof: An LLM-based Automated Data Curation Pipeline on Mathematical Proofs
Jerry Zhang, Siyuan Tan, Xinhang Li, Longzhuangzhi Lin, Dailin Li, Chengfeng Gu, Xinping Li, Yaxian Hao, Shengjia Liang, Yuxiang Ren♢, Wenhao Liu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2026 (SIGKDD 2026), 2026
Physics-Augmented Graph Transformer for Multi-step Time-Domain Maxwell’s Equations in Electromagnetic Scattering
Huilin Cao, Haoran Sun, Jingwei Liang, Maokun Li, Yuxiang Ren♢
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2026 (SIGKDD 2026 Oral), 2026
Siamese Foundation Models for Crystal Structure Prediction
Liming Wu, Rui Jiao, Jianxing Huang, Liwei Liu, Yipeng Zhou, Hao Sun, Yang Liu, Fuchun Sun, Yuxiang Ren♢, Jirong Wen, Wenbing Huang
Nature Communications, 2026
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