Huiwen Wu

According to our database, Huiwen Wu authored at least 20 papers between 2002 and 2024.

Collaborative distances:

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

2024

DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately.

Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu

CoRR, 2024

Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning.

Huiwen Wu, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Deyi Zhang, Zhe Liu

CoRR, 2024

Contextual Bandits for Unbounded Context Distributions.

Puning Zhao, Jiafei Wu, Zhe Liu, Huiwen Wu

CoRR, 2024

Learning with User-Level Local Differential Privacy.

Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu

CoRR, 2024

Enhancing Learning with Label Differential Privacy by Vector Approximation.

Puning Zhao, Rongfei Fan, Huiwen Wu, Qingming Li, Jiafei Wu, Zhe Liu

CoRR, 2024

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models.

Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu

CoRR, 2024

On the Relative Completeness of Satisfaction-based Quantum Hoare Logic.

Xin Sun, Xingchi Su, Xiaoning Bian, Huiwen Wu

CoRR, 2024

FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes.

Wenshu Huang, Huiwen Wu, Liming Fang, Lu Zhou

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

A Variational Approach to Personalized Federated Learning and Its Improvement.

Huiwen Wu, Shuo Zhang

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2024

Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner.

Huiwen Wu

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2024

2023

Automatic Microservice Orchestration and Deployment Method Based On the Modular Type Package for Industrial Edge Applications.

Jiale Kang, Xiao Wu, Huiwen Wu, Dali Yang, Wenbin Dai

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Powerful Encoding and Decoding Computation of Reservoir Computing.

Weian Li, Huiwen Wu, Dongping Yang

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

2022

Integrated routing for a vehicle-robot pickup and delivery system with time constraints.

Yongjian Li, Yan Chen, Gaicong Guo, Huiwen Wu, Zhao Yuan

CoRR, 2022

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation.

Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.

Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Automatic Code Generation for Modular Discrete Manufacturing Systems based on ISA 88 and Module Type Package.

Huiwen Wu, Yingyue Zhang, Wenbin Dai

Proceedings of the IEEE International Conference on Industrial Technology, 2022

2020

A Theoretical Perspective on Differentially Private Federated Multi-task Learning.

Huiwen Wu, Cen Chen, Li Wang

CoRR, 2020

Randomized Fast Subspace Descent Methods.

Long Chen, Xiaozhe Hu, Huiwen Wu

CoRR, 2020

2019

Beam Search Assisted User Scheduling for mmWave Hybrid Beamforming Systems.

Yu Chen, Huiwen Wu, Danpu Liu

Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019

2002

Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification.

Huiwen Wu, Dimitrios Gunopulos

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002