Zijie Zhang

According to our database, Zijie Zhang authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Survey of Lottery Ticket Hypothesis.

Bohan Liu, Zijie Zhang, Peixiong He, Zhensen Wang, Yang Xiao, Ruimeng Ye, Yang Zhou, Wei-Shinn Ku, Bo Hui

CoRR, 2024

Effective Federated Graph Matching.

Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models.

Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing Certified Robustness of Explanation via Gradient Quantization.

Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Fast Federated Machine Unlearning with Nonlinear Functional Theory.

Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan

Proceedings of the International Conference on Machine Learning, 2023

2022

Unsupervised Adversarial Network Alignment with Reinforcement Learning.

Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou

ACM Trans. Knowl. Discov. Data, 2022

Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization.

Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Fingerprint Learning with Heterogeneous Architectures.

Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination.

Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin

Proceedings of the WWW '21: The Web Conference 2021, 2021

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory.

Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks.

Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan

Proceedings of the 38th International Conference on Machine Learning, 2021

Integrated Defense for Resilient Graph Matching.

Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou

Proceedings of the 38th International Conference on Machine Learning, 2021

Adversarial Attack against Cross-lingual Knowledge Graph Alignment.

Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Adversarial Attacks on Deep Graph Matching.

Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou

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

Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference.

Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Dual Adversarial Learning Based Network Alignment.

Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets.

Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification.

Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification.

Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang

Proceedings of the IEEE International Conference on Data Mining, 2018