Longzhu He

According to our database, Longzhu He authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

<i>Push and Pull</i>: Defending against Retrieval Poisoning Attacks via Embedding Space Reshaping.

Longzhu He, Xiyu Zhang, Quan Liu, Chaozhuo Li, Zheng Liu, Pengpeng Zhou, Sen Su

ACM Trans. Inf. Syst., May, 2026

Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling.

Longgang He, Longzhu He, Daojing He, Chaozhuo Li

CoRR, May, 2026

Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting.

Jinhu Fu, Yan Bai, Longzhu He, Yihang Lou, Yanxiao Zhao, Li Sun, Sen Su

CoRR, April, 2026

The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning.

Longzhu He, Peng Tang, Li Sun, Sen Su

Proceedings of the ACM Web Conference 2026, 2026

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.

Longzhu He, Chaozhuo Li, Peng Tang, Li Sun, Sen Su, Philip S. Yu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.

Longzhu He, Chaozhuo Li, Peng Tang, Lichao Sun, Sen Su, Philip S. Yu

CoRR, June, 2025

Mitigating privacy risks in Retrieval-Augmented Generation via locally private entity perturbation.

Longzhu He, Peng Tang, Yuanhe Zhang, Pengpeng Zhou, Sen Su

Inf. Process. Manag., 2025

An improved hierarchical neural network model with local and global feature matching for script event prediction.

Pengpeng Zhou, Bin Wu, Caiyong Wang, Longzhu He

Expert Syst. Appl., 2025

Going Deeper into Locally Differentially Private Graph Neural Networks.

Longzhu He, Chaozhuo Li, Peng Tang, Sen Su

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Beyond the Textual: Generating Coherent Visual Options for MCQs.

Wanqiang Wang, Longzhu He, Wei Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Enforcing group fairness in privacy-preserving Federated Learning.

Chaomeng Chen, Zhenhong Zhou, Peng Tang, Longzhu He, Sen Su

Future Gener. Comput. Syst., 2024

Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions.

Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su

CoRR, 2024

Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions.

Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su

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