The sponsors and organizers of BDPC 2027 invite submissions of high quality big data research papers describing original work, including but not limited to the following topics:
【Call for Special Sessions】(Click)
Fundamental big data algorithms and applications
Structured and unstructured data mining
Big data analysis architectures and open platforms
Data quality control and provenance governance
Big data system deployment and engineering practice
Big data software and hardware infrastructure
Efficient big data processing and programming techniques
Cloud-native and serverless big data systems
Cloud-edge-end collaborative computing architectures
Multi-modal generative data storage and management
LLM corpus scheduling and system optimization
Green and low-carbon data center technologies
Data element infrastructure and asset governance
Cloud and big data privacy security
Cloud virtualization and QoS optimization
Big data encryption and secure analysis
Data-as-a-Service (DaaS) and data management
Social network data security governance
Abnormal detection for large-scale data systems
Data validation and consistency optimization
LLM secure fine-tuning with differential privacy
Prompt defense and model anti-poisoning
FHE and zero-knowledge machine learning (zkML)
Secure multi-party computation and federated learning
TEE-accelerated privacy computing
Secure data circulation and compliance governance
Generative AI data watermarking and traceability
Post-quantum encryption for massive data
Zero-trust cross-domain data access control
Intelligent big data mining and analytics
Efficient data query and visual analytics
Bio-inspired and evolutionary data analysis
Big data driven machine learning
Multi-source data fusion and data-driven modeling
Data-intensive computing theories and technologies
Graph mining and knowledge graph construction
Pervasive and mobile data intelligent processing
RAG-based enhanced data analysis
AI agent autonomous data mining and decision
Multi-modal data representation and alignment
Spatio-temporal big data prediction and early warning
Digital twin and 3D point cloud data analysis
Lightweight generative model edge deployment
Interpretable and robust data analysis models
Few-shot learning for industrial data mining
6G sensing data real-time intelligent computing
Multimedia big data processing and representation
Scientific big data computing and applications
Cloud-big data-IoT integrated systems
Industrial and governmental big data practices
Green computing and low-carbon data technologies
Intelligent education based on big data
Big data enabled business innovation and industrial upgrading
Medical and bioinformatics big data applications
Smart city, environment and manufacturing big data
Lightweight data analysis for SMEs
High-performance computing software-hardware co-design
Data asset evaluation and element trading technology
Low-altitude economy and remote sensing big data
Big data driven digital twin industrial integration
Metaverse and virtual human data analysis
Carbon footprint monitoring and big data analysis
Cross-border data security and compliance
Financial big data and regulatory technology
Autonomous driving and vehicle-road collaborative data processing
Lightweight blockchain for IoT data scenarios
Blockchain security for IoT and CPS
Blockchain enabled crowdsensing and social networks
5G/6G edge-cloud blockchain technologies
Distributed ledgers and high-efficiency consensus algorithms
Blockchain-based supply chain and industrial empowerment
Cryptography and cryptocurrency security
On-chain AI agents and intelligent contract optimization
ZK blockchain and cross-chain interoperability
Blockchain and privacy computing integration
Decentralized data sovereignty and distributed storage
Blockchain-based data verification and copyright traceability
Low-latency consensus for edge blockchain terminals
Post-quantum blockchain security architecture
DAO-based decentralized data collaborative governance
Blockchain oracle and real-world asset (RWA) services