Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification. - Huiwen Wu; Dimitrios Gunopulos (ICDM, 2002)

Beam Search Assisted User Scheduling for mmWave Hybrid Beamforming Systems. - Yu Chen; Huiwen Wu; Danpu Liu (ComComAP, 2019)

Randomized Fast Subspace Descent Methods. - Long Chen 002; Xiaozhe Hu; Huiwen Wu (CoRR, 2020)

A Theoretical Perspective on Differentially Private Federated Multi-task Learning. - Huiwen Wu; Cen Chen 001; Li Wang 057 (CoRR, 2020)

Automatic Code Generation for Modular Discrete Manufacturing Systems based on ISA 88 and Module Type Package. - Huiwen Wu; Yingyue Zhang; Wenbin Dai (ICIT, 2022)

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. - Chaochao Chen 001; Jun Zhou 011; Longfei Zheng; Huiwen Wu; Lingjuan Lyu; Jia Wu 001; Bingzhe Wu; Ziqi Liu; Li Wang 056; Xiaolin Zheng (IJCAI, 2022)

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. - Chaochao Chen 001; Huiwen Wu; Jiajie Su; Lingjuan Lyu; Xiaolin Zheng; Li Wang 056 (WWW, 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)

Powerful Encoding and Decoding Computation of Reservoir Computing. - Weian Li; Huiwen Wu; Dongping Yang (ICIRA (1), 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 (ISIE, 2023)

Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner. - Huiwen Wu (PKAW, 2024)

A Variational Approach to Personalized Federated Learning and Its Improvement. - Huiwen Wu; Shuo Zhang 004 (PKAW, 2024)

FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes. - Wenshu Huang; Huiwen Wu; Liming Fang; Lu Zhou (WASA (1), 2024)

On the Relative Completeness of Satisfaction-based Quantum Hoare Logic. - Xin Sun; Xingchi Su; Xiaoning Bian; Huiwen Wu (CoRR, 2024)

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. - Huiwen Wu; Xiaohan Li; Deyi Zhang; Xiaogang Xu 002; Jiafei Wu; Puning Zhao; Zhe Liu 001 (CoRR, 2024)

Enhancing Learning with Label Differential Privacy by Vector Approximation. - Puning Zhao; Rongfei Fan; Huiwen Wu; Qingming Li; Jiafei Wu; Zhe Liu 001 (CoRR, 2024)

Learning with User-Level Local Differential Privacy. - Puning Zhao; Li Shen 008; Rongfei Fan; Qingming Li; Huiwen Wu; Jiafei Wu; Zhe Liu 001 (CoRR, 2024)

Contextual Bandits for Unbounded Context Distributions. - Puning Zhao; Jiafei Wu; Zhe Liu 001; Huiwen Wu (CoRR, 2024)

Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning. - Huiwen Wu; Xiaohan Li; Xiaogang Xu 002; Jiafei Wu; Deyi Zhang; Zhe Liu 001 (CoRR, 2024)

DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. - Huiwen Wu; Deyi Zhang; Xiaohan Li; Xiaogang Xu 002; Jiafei Wu; Zhe Liu 001 (AAAI, 2025)

Comparing and Improving Frequency Estimation Perturbation Mechanisms Under Local Differential Privacy. - She Sun; Jiafei Wu; Jian Yang; Li Zhou; Huiwen Wu (ACISP (3), 2025)

DPFedSub: A Differentially Private Federated Learning with Randomized Subspace Descend. - Huiwen Wu; Chuan Ma; Xueran Li; Deyi Zhang; Xiaohan Li; She Sun (ACISP (3), 2025)

Do Global and Local Perform Cooperatively or Adversarially in Heterogeneous Federated Learning? - Huiwen Wu; Shuo Zhang 004 (CPAL, 2025)

TIER: Temporal Convolutional Network Information Extractor With Conditional Random Field. - Huiwen Wu; Xiubo Zhang; Tengyuan Zhou; An Hu (IEEE Access, 2025)

VFGCN: A Vertical Federated Learning Framework With Privacy Preserving for Graph Convolutional Network. - Gang Wang; Qingming Li; Ximeng Liu; Xiaoran Yan; Qingkuan Dong; Huiwen Wu; Xiangjie Kong 001; Li Zhou (IEEE Trans. Dependable Secur. Comput., 2025)