Huiwen Wu - RankMe

32 papers A* 5A 1C 2Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PDFL: A Privacy-Enhancing and Robust Poisoning Defense Federated Learning Scheme. IEEE Trans. Inf. Forensics Secur. Gang Wang, Huiwen Wu, Qingming Li, Ziyao Liu, Jun Zhao, Kwok-Yan Lam, Qingkuan Dong, Yao Yang, Li Zhou
2026	A*	`conf`	Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model. AAAI Huiwen Wu, Shuo Zhang, Yi Liu, Hongbin Ye
2025	A	`conf`	CG-FedLLM: How to Compress Gradients in Federated Fine-Tuning for Large Language Models. ECAI Huiwen Wu, Xiaogang Xu, Deyi Zhang, Xiaohan Li, Jiafei Wu, Zhe Liu
2025	—	`conf`	Comparing and Improving Frequency Estimation Perturbation Mechanisms Under Local Differential Privacy. ACISP (3) She Sun, Jiafei Wu, Jian Yang, Li Zhou, Huiwen Wu
2025	—	`conf`	Comparing and Improving Perturbation Mechanisms Under Local Differential Privacy. Inscrypt (3) She Sun, Li Zhou, Xiaoran Yan, Yi Liu, Huiwen Wu, Jian Yang
2025	—	`conf`	DPFedSub: A Differentially Private Federated Learning with Randomized Subspace Descend. ACISP (3) Huiwen Wu, Chuan Ma, Xueran Li, Deyi Zhang, Xiaohan Li, She Sun
2025	A*	`conf`	DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. AAAI Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu
2025	—	`conf`	Do Global and Local Perform Cooperatively or Adversarially in Heterogeneous Federated Learning? CPAL Huiwen Wu, Shuo Zhang
2025	J	`jnl`	Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model. CoRR Huiwen Wu, Shuo Zhang, Yi Liu, Hongbin Ye
2025	J	`jnl`	TIER: Temporal Convolutional Network Information Extractor With Conditional Random Field. IEEE Access Huiwen Wu, Xiubo Zhang, Tengyuan Zhou, An Hu
2025	J	`jnl`	VFGCN: A Vertical Federated Learning Framework With Privacy Preserving for Graph Convolutional Network. IEEE Trans. Dependable Secur. Comput. Gang Wang, Qingming Li, Ximeng Liu, Xiaoran Yan, Qingkuan Dong, Huiwen Wu, Xiangjie Kong, Li Zhou
2024	C	`conf`	A Variational Approach to Personalized Federated Learning and Its Improvement. PKAW Huiwen Wu, Shuo Zhang
2024	J	`jnl`	CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. CoRR Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu
2024	J	`jnl`	Contextual Bandits for Unbounded Context Distributions. CoRR Puning Zhao, Jiafei Wu, Zhe Liu, Huiwen Wu
2024	J	`jnl`	DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. CoRR Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu
2024	J	`jnl`	Enhancing Learning with Label Differential Privacy by Vector Approximation. CoRR Puning Zhao, Rongfei Fan, Huiwen Wu, Qingming Li, Jiafei Wu, Zhe Liu
2024	C	`conf`	Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner. PKAW Huiwen Wu
2024	—	`conf`	FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes. WASA (1) Wenshu Huang, Huiwen Wu, Liming Fang, Lu Zhou
2024	J	`jnl`	Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning. CoRR Huiwen Wu, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Deyi Zhang, Zhe Liu
2024	J	`jnl`	Learning with User-Level Local Differential Privacy. CoRR Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu
2024	J	`jnl`	On the Relative Completeness of Satisfaction-based Quantum Hoare Logic. CoRR Xin Sun, Xingchi Su, Xiaoning Bian, Huiwen Wu
2023	—	`conf`	Automatic Microservice Orchestration and Deployment Method Based On the Modular Type Package for Industrial Edge Applications. ISIE Jiale Kang, Xiao Wu, Huiwen Wu, Dali Yang, Wenbin Dai
2023	—	`conf`	Powerful Encoding and Decoding Computation of Reservoir Computing. ICIRA (1) Weian Li, Huiwen Wu, Dongping Yang
2022	—	`conf`	Automatic Code Generation for Modular Discrete Manufacturing Systems based on ISA 88 and Module Type Package. ICIT Huiwen Wu, Yingyue Zhang, Wenbin Dai
2022	A*	`conf`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	J	`jnl`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	J	`jnl`	Integrated routing for a vehicle-robot pickup and delivery system with time constraints. CoRR Yongjian Li, Yan Chen, Gaicong Guo, Huiwen Wu, Zhao Yuan
2022	A*	`conf`	Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2020	J	`jnl`	A Theoretical Perspective on Differentially Private Federated Multi-task Learning. CoRR Huiwen Wu, Cen Chen, Li Wang
2020	J	`jnl`	Randomized Fast Subspace Descent Methods. CoRR Long Chen, Xiaozhe Hu, Huiwen Wu
2019	—	`conf`	Beam Search Assisted User Scheduling for mmWave Hybrid Beamforming Systems. ComComAP Yu Chen, Huiwen Wu, Danpu Liu
2002	A*	`conf`	Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification. ICDM Huiwen Wu, Dimitrios Gunopulos