Yuezihan Jiang

According to our database, Yuezihan Jiang authored at least 6 papers between 2021 and 2023.

Collaborative distances:

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

2023

P²CG: a privacy preserving collaborative graph neural network training framework.

Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui

VLDB J., July, 2023

2022

Instance-wise Prompt Tuning for Pretrained Language Models.

Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui

CoRR, 2022

Model Degradation Hinders Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest.

Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Evaluating Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

CoRR, 2021

ROD: Reception-aware Online Distillation for Sparse Graphs.

Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021