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ORCIDLongzhu He
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2020 – today
- 2026
[c5]Longzhu He
, Chaozhuo Li, Peng Tang, Li Sun, Sen Su, Philip S. Yu:
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. KDD (1) 2026: 395-406- [c4]Longzhu He, Peng Tang, Li Sun, Sen Su:
The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning. WWW 2026: 4493-4504 - [i4]Jinhu Fu, Yan Bai, Longzhu He, Yihang Lou, Yanxiao Zhao, Li Sun, Sen Su:
Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting. CoRR abs/2604.05540 (2026) - 2025
- [j3]Pengpeng Zhou, Bin Wu, Caiyong Wang, Longzhu He:
An improved hierarchical neural network model with local and global feature matching for script event prediction. Expert Syst. Appl. 259: 125325 (2025) - [j2]Longzhu He, Peng Tang, Yuanhe Zhang, Pengpeng Zhou, Sen Su:
Mitigating privacy risks in Retrieval-Augmented Generation via locally private entity perturbation. Inf. Process. Manag. 62(5): 104150 (2025) - [c3]Wanqiang Wang, Longzhu He, Wei Zheng:
Beyond the Textual: Generating Coherent Visual Options for MCQs. EMNLP (Findings) 2025: 6918-6935 - [c2]Longzhu He, Chaozhuo Li, Peng Tang, Sen Su:
Going Deeper into Locally Differentially Private Graph Neural Networks. ICML 2025 - [i3]Longzhu He, Chaozhuo Li, Peng Tang, Lichao Sun, Sen Su, Philip S. Yu:
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. CoRR abs/2506.09803 (2025) - [i2]Wanqiang Wang, Longzhu He, Wei Zheng:
Beyond the Textual: Generating Coherent Visual Options for MCQs. CoRR abs/2508.18772 (2025) - 2024
- [j1]Chaomeng Chen, Zhenhong Zhou, Peng Tang, Longzhu He, Sen Su:
Enforcing group fairness in privacy-preserving Federated Learning. Future Gener. Comput. Syst. 160: 890-900 (2024) - [c1]Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su:
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions. EMNLP 2024: 2802-2816 - [i1]Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su:
Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions. CoRR abs/2408.07663 (2024)
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