Yixuan Liu

11 papers A* 2A 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BicKD: Bilateral Contrastive Knowledge Distillation. CoRR Jiangnan Zhu, Yukai Xu, Li Xiong, Yixuan Liu, Junxu Liu, Hong Kyu Lee, Yujie Gu
2024	J	`jnl`	Accuracy-enhanced Sparse Vector Technique with Exponential Noise and Optimal Threshold Correction. Proc. VLDB Endow. Yuhan Liu, Sheng Wang, Yixuan Liu, Feifei Li, Hong Chen
2024	J	`jnl`	DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. CoRR Yixuan Liu, Li Xiong, Yuhan Liu, Yujie Gu, Ruixuan Liu, Hong Chen
2024	J	`jnl`	Edge-Protected Triangle Count Estimation Under Relationship Local Differential Privacy. IEEE Trans. Knowl. Data Eng. Yuhan Liu, Tianhao Wang, Yixuan Liu, Hong Chen, Cuiping Li
2024	A	`conf`	Enhanced Privacy Bound for Shuffle Model with Personalized Privacy. CIKM Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen
2024	J	`jnl`	Enhanced Privacy Bound for Shuffle Model with Personalized Privacy. CoRR Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen
2024	J	`jnl`	Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise. CoRR Yuhan Liu, Sheng Wang, Yixuan Liu, Feifei Li, Hong Chen
2023	A*	`conf`	Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. AAAI Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen
2023	J	`jnl`	Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. CoRR Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen
2022	A*	`conf`	Collecting Triangle Counts with Edge Relationship Local Differential Privacy. ICDE Yuhan Liu, Suyun Zhao, Yixuan Liu, Dan Zhao, Hong Chen, Cuiping Li
2022	J	`jnl`	Improving Parameter Estimation and Defensive Ability of Latent Dirichlet Allocation Model Training Under Rényi Differential Privacy. J. Comput. Sci. Technol. Tao Huang, Su-Yun Zhao, Hong Chen, Yixuan Liu