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Lidan Shou

BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification
Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training
TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features
IKAROS: An Indoor Keyword-Aware Routing System
Indoor Spatial Queries: Modeling, Indexing, and Processing
Towards Crowd-aware Indoor Path Planning
Indoor Mobility Semantics Annotation Using Coupled Conditional Markov Networks
Indoor Top-k Keyword-aware Routing Query
Toward Translating Raw Indoor Positioning Data into Mobility Semantics
Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data
In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data
TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics
Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings
E(^mbox2)C(^mbox2): efficient and effective camera calibration in indoor environments

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