Showing 1–19 of 19 results
/ Date/ Name
May 24, 2017Dense Transformer NetworksJul 2, 2022Multi-scale Attentive Image De-raining Networks via Neural Architecture SearchMay 19, 2017Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image GenerationOct 20, 2020Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training SamplesOct 20, 2020Line Graph Neural Networks for Link PredictionAug 4, 2020Structural Plan of Indoor Scenes with Personalized PreferencesApr 29, 2025Quantized resonant tunneling effect in Josephson junctions with ferromagnetic bilayersMay 15, 2020Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic GraphsMar 18, 2025Strong quasi-MV* algebras and their logicsJul 18, 2020Deep Learning of High-Order Interactions for Protein Interface PredictionJun 24, 2020Adversarial Model for Rotated Indoor Scenes PlanningJul 24, 2023MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex EnvironmentSep 29, 2024SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather RemovalMar 18, 2025The logic of quasi MV star algebrasOct 8, 2025Investigating Students' Preferences for AI Roles in Mathematical Modelling: Evidence from a Randomized Controlled TrialDec 2, 2020Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug DiscoveryJul 30, 2024Image Re-Identification: Where Self-supervision Meets Vision-Language LearningAug 28, 2024Hybrid Type-II and Type-III seesaw model for the muon $g-2$ anomalyJan 16, 2024The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation