Jie Zhang - RankMe

13 papers A* 4A 1B 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Unlearning during Learning: An Efficient Federated Machine Unlearning Method. IJCAI Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
2024	J	`jnl`	Unlearning during Learning: An Efficient Federated Machine Unlearning Method. CoRR Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
2023	J	`jnl`	Automated Unsupervised Graph Representation Learning. IEEE Trans. Knowl. Data Eng. Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang
2023	J	`jnl`	OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. IEEE Trans. Knowl. Data Eng. Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang
2020	J	`jnl`	Graph Random Neural Network. CoRR Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang
2020	A*	`conf`	Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang
2019	—	`conf`	A Fast Network Embedding Approach with Preserving Hierarchical Proximities. DSC Jie Zhang, Yan Wang, Jie Tang
2019	A*	`conf`	OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. KDD Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang
2019	A*	`conf`	ProNE: Fast and Scalable Network Representation Learning. IJCAI Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
2018	A	`conf`	Semi-supervised Learning on Graphs with Generative Adversarial Nets. CIKM Ming Ding, Jie Tang, Jie Zhang
2018	J	`jnl`	Semi-supervised Learning on Graphs with Generative Adversarial Nets. CoRR Ming Ding, Jie Tang, Jie Zhang
2018	J	`jnl`	Spectral Network Embedding: A Fast and Scalable Method via Sparsity. CoRR Jie Zhang, Yan Wang, Jie Tang, Ming Ding
2016	B	`conf`	Learning cascaded influence under partial monitoring. ASONAM Jie Zhang, Jiaqi Ma, Jie Tang