Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
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
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Published:
teaching
Teaching experience 1
This is a description of a teaching experience. You can use markdown like any other post.
Undergraduate course, University 1, Department, 2014
Teaching experience 2
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015