.- Database System and Query Optimization. .- SAM: A Spatial-aware Learned Index for Disk-Based Multi-dimensional Search. .- BIVXDB: A Bottom Information Invert Index to Speed up the Query Performance of LSM-tree. .- Dual-contrastive multi-view clustering under the guidance of global similarity and pseudo-label. .- A Powerful Local Search Method for Minimum Steiner Tree Problem. .- Federated and Privacy-Preserving Learning. .- FedOCD: A One-Shot Federated Framework for Heterogeneous Cross-Domain Recommendation. .- Efficient Updateable Private Set Intersection on Outsourced Datasets. .- Client Evaluation and Revision in Federated Learning: Towards Defending Free-Riders and Promoting Fairness. .- A Secure Dynamic Incentive Scheme for Federated Learning. .- A Data Synthesis Approach Based on Local Differential Privacy. .- Byzantine-Robust Aggregation for Federated Learning with Reinforcement Learning. .- Differential Privacy with Data Removal for Online Happiness Assessment. .- EPCQ: Efficient Privacy-preserving Contact Query Processing over Trajectory Data in Cloud. .- Parallel Secure Inference for Multiple Models based on CKKS. .- PrivRBFN: Building Privacy-Preserving Radial Basis Function Networks Based on Federated Learning. .- Robust Federated Learning with Realistic Corruption. .- Network, Blockchain and Edge computing. .- BTQoS: A Tenant Relationship-Aware QoS Framework for Multi-Tenant Distributed Storage System. .- ACMDS: An Anonymous Collaborative Medical Data Sharing Scheme Based on Blockchain. .- MTEC: A Multi-tier Blockchain Storage Framework using Erasure Coding for IoT Application. .- Maintaining Data Freshness in Multi-channel Multi-hop Wireless Networks. .- Proof of Run: A Fair and Sustainable Blockchain Consensus Protocol based on Game Theory in DApps. .- KTSketch: Finding k-persistent t-spread Flows in High-speed Networks. .- A Multi-agent Service Migration Algorithm for Mobile Edge Computing with Diversified Services. .- Dynamic Computation Scheduling for Hybrid Energy Mobile Edge Computing Networks. .- Anomaly Detection and Security. .- Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features. .- Detecting Camouflaged Social Bots through Multi-level Aggregation and Information Encoding. .- Deep Sarcasm Detection with Sememe and Syntax Knowledge. .- Enhancing Few-Shot Multi-Modal Fake News Detection through Adaptive Fusion. .- AGAE: Unsupervised Anomaly Detection for Encrypted Malicious Traffic. .- ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. .- Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection. .- Substructure-Guided Graph-level Anomaly with Attention-Aware Aggregation.