Jiaxiang Ren

According to our database, Jiaxiang Ren authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

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

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update.

Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing.

Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan

Proceedings of the International Conference on Machine Learning, 2023

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.

Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Accelerated Federated Learning with Decoupled Adaptive Optimization.

Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou

Proceedings of the International Conference on Machine Learning, 2022

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

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

2020

Robust Meta Network Embedding against Adversarial Attacks.

Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee

Proceedings of the 20th IEEE International Conference on Data Mining, 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