Calibrating LLM Confidence with Semantic Steering: A Multi-Prompt Aggregation Framework.
CoRR, March, 2025
SPCNet: a strip pyramid ConvNeXt network for detection of road surface defects.
Signal Image Video Process., February, 2024
Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling.
Neurocomputing, 2024
EAFNet: Extraction-amplification-fusion network for tiny cracks detection.
Eng. Appl. Artif. Intell., 2024
GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation.
CoRR, 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network.
CoRR, 2024
Multi-Consensus Decentralized Accelerated Gradient Descent.
J. Mach. Learn. Res., 2023
Effective stabilized self-training on few-labeled graph data.
Inf. Sci., 2023
SlotGAT: Slot-based Message Passing for Heterogeneous Graphs.
Proceedings of the International Conference on Machine Learning, 2023
A Multimodal Framework for Automated Teaching Quality Assessment of One-to-many Online Instruction Videos.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Design of industrial internet of things system based on machine learning and artificial intelligence technology.
J. Intell. Fuzzy Syst., 2021
Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion.
CoRR, 2021
Decentralized Accelerated Proximal Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
SCE: Scalable Network Embedding from Sparsest Cut.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Dynamic Self-training Framework for Graph Convolutional Networks.
CoRR, 2019