Xianzhi Zhang

According to our database, Xianzhi Zhang authored at least 14 papers between 2015 and 2026.

Collaborative distances:

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

2026

Adapter-Augmented Bandits for Online Multi-Constrained Multi-Modal Inference Scheduling.

Xianzhi Zhang, Yue Xu, Yinlin Zhu, Di Wu, Yipeng Zhou, Miao Hu, Guocong Quan

CoRR, March, 2026

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach.

Yinlin Zhu, Di Wu, Xianzhi Zhang, Yuming Ai, Xunkai Li, Miao Hu, Guocong Quan

CoRR, January, 2026

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework With Correlated Differential Privacy.

Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Miao Hu, Linchang Xiao

IEEE Trans. Netw., 2026

2025

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges.

Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Shazia Riaz, Miao Hu, Linchang Xiao

ACM Comput. Surv., May, 2025

BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation.

Xianzhi Zhang, Yipeng Zhou, Miao Hu, Di Wu, Pengshan Liao, Mohsen Guizani, Quan Z. Sheng

IEEE Trans. Serv. Comput., 2025

W2CB: Online Data Acquisition Optimization With Wasserstein Contextual Combinatorial Bandits.

Yang Li, Xianzhi Zhang, Miao Hu, Di Wu, Yipeng Zhou

IEEE Trans. Serv. Comput., 2025

OCLNet: Obfuscation feature Contrastive Learning Network for Weakly Supervised Semantic Segmentation on Ultrasound Images.

Jie Gao, Xianzhi Zhang, Zijian Zhang, Xuewei Li, Mei Yu, Ruiguo Yu, Zhiqiang Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

History-Aware Privacy Budget Allocation for Model Training on Evolving Data-Sharing Platforms.

Linchang Xiao, Xianzhi Zhang, Di Wu, Miao Hu, Yipeng Zhou, Shui Yu

IEEE Trans. Serv. Comput., 2024

2023

cRVR: A Stackelberg Game Approach for Joint Privacy-Aware Video Requesting and Edge Caching.

Xianzhi Zhang, Linchang Xiao, Yipeng Zhou, Miao Hu, Di Wu, Gang Liu

CoRR, 2023

2022

Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach.

Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, James Xi Zheng, Min Chen, Song Guo

IEEE Trans. Parallel Distributed Syst., 2022

CAANet: CAM-guided Adaptive Attention Network for Weakly Supervised Semantic Segmentation of Thyroid Nodules.

Ruiguo Yu, Xianzhi Zhang, Mankun Zhao, Yang Yan, Ming Li, Mei Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Optimizing Uplink Bandwidth Utilization for Crowdsourced Livecast.

Xianzhi Zhang, Guoqiao Ye, Miao Hu, Di Wu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

2020

In-process tool condition forecasting based on a deep learning method.

Huibin Sun, Jiduo Zhang, Rong Mo, Xianzhi Zhang

Robotics Comput. Integr. Manuf., 2020

2015

Development of a data model and a prototype information sharing platform for DEMAT machine tools.

V. G. Dhokia, Xianzhi Zhang, Aydin Nassehi, Stephen T. Newman, J. Negre, Denys Plakhotnik, Bert Lauwers

Int. J. Comput. Integr. Manuf., 2015