Showing 1–20 of 63 results
/ Date/ Name
Nov 3, 2023Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and RegressionOct 29, 2024Task-Oriented Real-time Visual Inference for IoVT Systems: A Co-design Framework of Neural Networks and Edge DeploymentFeb 21, 2025SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation InterventionOct 29, 2025GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement LearningAug 27, 2025Tunable quantum anomalous Hall effect in fullerene monolayersAug 26, 2025A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT NetworksFeb 16, 2019CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happinessNov 3, 2023Modeling the Uncertainty with Maximum Discrepant Students for Semi-supervised 2D Pose EstimationJul 1, 2024Orbital phases of $p$-band ultracold fermions in the frustrated triangular latticeMar 13, 2025Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised LearningJun 12, 2025Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy PatientsMar 16, 2025A Unified Approach to Enforce Non-Negativity Constraint in Neural Network Approximation for Optimal Voltage RegulationAug 31, 2017Linguistic Reflexes of Well-Being and Happiness in EchoJun 8, 2024Exploring Bridges Between Algorithmic and AI-generated ArtSep 13, 2024Evaluating the Quality of Brain MRI GeneratorsAug 8, 2024Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised LearningAug 28, 2025Altermagnetic Shastry-Sutherland fullerene networksMar 27, 2024A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised ClassificationApr 2, 2025Negative and positive anisotropic thermal expansion in 2D fullerene networksOct 31, 2024Tuning electronic and optical properties of 2D polymeric C$_{60}$ by stacking two layers