Jie Zhang

According to our database, Jie Zhang authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unlearning during Learning: An Efficient Federated Machine Unlearning Method.

Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs.

Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang

IEEE Trans. Knowl. Data Eng., September, 2023

Automated Unsupervised Graph Representation Learning.

Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang

IEEE Trans. Knowl. Data Eng., March, 2023

2020

Graph Random Neural Network.

Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang

CoRR, 2020

Graph Random Neural Networks for Semi-Supervised Learning on Graphs.

Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs.

Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

ProNE: Fast and Scalable Network Representation Learning.

Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Fast Network Embedding Approach with Preserving Hierarchical Proximities.

Jie Zhang, Yan Wang, Jie Tang

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018

Spectral Network Embedding: A Fast and Scalable Method via Sparsity.

Jie Zhang, Yan Wang, Jie Tang, Ming Ding

CoRR, 2018

Semi-supervised Learning on Graphs with Generative Adversarial Nets.

Ming Ding, Jie Tang, Jie Zhang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016

Learning cascaded influence under partial monitoring.

Jie Zhang, Jiaqi Ma, Jie Tang

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016