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Huiwen Wu
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2020 – today
- 2024
- [c10]Huiwen Wu
, Shuo Zhang
A Variational Approach to Personalized Federated Learning and Its Improvement. PKAW 2024: 136-148 - [c9]Huiwen Wu
Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner. PKAW 2024: 190-202 - [c8]Wenshu Huang, Huiwen Wu, Liming Fang, Lu Zhou:
FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes. WASA (1) 2024: 454-465 - [i10]Xin Sun, Xingchi Su, Xiaoning Bian, Huiwen Wu:
On the Relative Completeness of Satisfaction-based Quantum Hoare Logic. CoRR abs/2405.01940 (2024) - [i9]Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu:
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. CoRR abs/2405.13746 (2024) - [i8]Puning Zhao, Rongfei Fan, Huiwen Wu, Qingming Li, Jiafei Wu, Zhe Liu:
Enhancing Learning with Label Differential Privacy by Vector Approximation. CoRR abs/2405.15150 (2024) - [i7]Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu:
Learning with User-Level Local Differential Privacy. CoRR abs/2405.17079 (2024) - [i6]Puning Zhao, Jiafei Wu, Zhe Liu, Huiwen Wu:
Contextual Bandits for Unbounded Context Distributions. CoRR abs/2408.09655 (2024) - [i5]Huiwen Wu, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Deyi Zhang, Zhe Liu:
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning. CoRR abs/2410.12130 (2024) - 2023
- [c7]Weian Li, Huiwen Wu
Powerful Encoding and Decoding Computation of Reservoir Computing. ICIRA (1) 2023: 174-186 - [c6]Jiale Kang, Xiao Wu, Huiwen Wu, Dali Yang, Wenbin Dai:
Automatic Microservice Orchestration and Deployment Method Based On the Modular Type Package for Industrial Edge Applications. ISIE 2023: 1-6 - 2022
- [c5]Huiwen Wu, Yingyue Zhang, Wenbin Dai:
Automatic Code Generation for Modular Discrete Manufacturing Systems based on ISA 88 and Module Type Package. ICIT 2022: 1-6 - [c4]Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI 2022: 1959-1965 - [c3]Chaochao Chen, Huiwen Wu
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW 2022: 1455-1465 - [i4]Yongjian Li, Yan Chen, Gaicong Guo, Huiwen Wu, Zhao Yuan:
Integrated routing for a vehicle-robot pickup and delivery system with time constraints. CoRR abs/2202.04550 (2022) - [i3]Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2202.04893 (2022) - 2020
- [i2]Long Chen, Xiaozhe Hu, Huiwen Wu:
Randomized Fast Subspace Descent Methods. CoRR abs/2006.06589 (2020) - [i1]Huiwen Wu, Cen Chen, Li Wang:
A Theoretical Perspective on Differentially Private Federated Multi-task Learning. CoRR abs/2011.07179 (2020)
2010 – 2019
- 2019
- [c2]Yu Chen, Huiwen Wu, Danpu Liu:
Beam Search Assisted User Scheduling for mmWave Hybrid Beamforming Systems. ComComAP 2019: 76-81
2000 – 2009
- 2002
- [c1]Huiwen Wu, Dimitrios Gunopulos:
Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification. ICDM 2002: 713-716
Coauthor Index
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