CCPCDL 2025

2025 4th International Conference on Cloud Computing, Performance Computing and 

Deep Learning (CCPCDL 2025) ended successfully !


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2025 4th International Conference on Cloud Computing, Performance Computing and Deep Learning (CCPCDL 2025) was held in October 31-November 2, 2026, Shanghai, China. CCPCDL 2025 is sponsored by Shanghai Pudong New Area Association for Computer. The conference spans three days, featuring 4 keynote speeches and 8 oral presentations. 


The conference aims to provide a diverse academic platform to promote in-depth exchanges and cooperation among participants, allowing participants to explore specific topics and research fields in greater depth, promoting academic exchanges and cooperation, and promoting the development and progress ofCloud Computing, Performance Computing and Deep Learning



  •  Group Photo

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Group Photo of CCPCDL 2025


  • Keynote Speech

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Prof. Jin Zhao, IEEE Senior Member, Fudan University, China

Title: Cloud-Native Network Functions for 6G: Vision and Challenges


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Prof. Carlos Juiz, IEEE Senior Member, The University of the Balearic Islands, Spain

TitleScalability of the Speedup Considering the Overhead when Consolidating Virtual Machines (and/or Containers)


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Prof. Guanglin Zhang, Donghua University, China

TitleJoint Service Placement and Task Offloading in Vehicle-EdgeCloudCollaborative Networks


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Prof. Yang Yang, IEEE Fellow, HKUST Shanghai Center, China

TitleCollaborative Edge Computing for Large AI Models on Wireless Networks

 


  • Oral Presentation 

Carlos Juiz , The University of the Balearic Islands

Title: Fine-Tuning ResNet-50 for Medical Image Processing: Impact of Batch Size and Training Epochs on Energy Consumption

Junliang Liu, Zhengzhou University of Aeronautics

Title: Fusion SLAMwith Adaptive Keyframe Selection and LSD and LBD Line Features 

Bangxu Liu, Tsinghua University

Title: Accurate and Decentralized Approach for a Prediction Model for the Chemical Mechanical Planarization Material Removal Rate Using Personalized Clustering Federated Learning with a Transformer Network

Zhuoyi Cheng, Shanghai University of Engineering Science

Title: A Lightweight Text Chunking Method Fusing Weakly Supervised Distillation and Discourse Relation Discrimination

Caifeng Wang, Shanghai University of Engineering Science

Title: A Multi-Feature Fusion Model for Domain-Specific Chinese Named Entity Recognition

Rong Wang, Tianjin Petroleum Vocational and Technical College

Title: Research on BERT-LSTM-Based Multimodal Financial Risk Early Warning with Attention Fusion

Zhixia Zheng, Tianjin Petroleum Vocational and Technical College

Title: Cognitive-Driven Adaptive Learning: A Dynamic Path Optimization Framework Based on Knowledge Graph and Reinforcement Learning


Xiaoping Xu, Dalian Neusoft University of Information

Title: Design and Implementation of FPGA-Based CNN Algorithm for Handwritten Digit Recognition



CCPCDL 2025 provided an international collaborative platform for sharing research results and exploring innovative technologies. The conference ended successfully amid a lively atmosphere! May the connections forged here today inspire continued innovation and cooperation in the years to come.