APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification.

Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology.

WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition.

Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks.

General Federated Class-Incremental Learning With Lightweight Generative Replay.

MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios.

Minimizing running buffers for tabletop object rearrangement: Complexity, fast algorithms, and applications.

Efficient Algorithms for Boundary Defense with Heterogeneous Defenders.

Wavelet-Based Semantic Feature Representation for Hyperspectral Signature Discrimination.

Federated Learning for Personalized Humor Recognition.

Semi-Supervised Federated Heterogeneous Transfer Learning.

Vertical federated learning-based feature selection with non-overlapping sample utilization.

Team RuBot's experiences and lessons from the ARIAC.

Toward Fast and Optimal Robotic Pick-and-Place on a Moving Conveyor.

Optimal Perimeter Guarding With Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms.

Autoencoder based sample selection for self-taught learning.

Federated Learning with Diversified Preference for Humor Recognition.

Multi-Participant Multi-Class Vertical Federated Learning.

Few-shot learning-based human activity recognition.

Efficient Algorithms for Optimal Perimeter Guarding.

Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation.

Autoencoder Based Sample Selection for Self-Taught Learning.

Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation.

Hyperspectral Band Selection From Statistical Wavelet Models.

Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation.

Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination.