Multi-source fully test-time adaptation.
Neural Networks, 2025
Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation.
Mach. Learn., June, 2024
Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework.
Knowl. Based Syst., 2024
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation.
Trans. Mach. Learn. Res., 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels.
CoRR, 2023
CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Learning with Noisy Labels over Imbalanced Subpopulations.
CoRR, 2022
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting.
CoRR, 2022
CopGAT: Co-propagation Self-supervised Graph Attention Network.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022
Semi-supervised Learning with Multi-Head Co-Training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation.
CoRR, 2021
Modeling and Analysis for CPS Physical Entities Based on Spatio-Temporal Petri Net.
J. Comput., 2014
Modeling and Analyzing Method for CPS Software Architecture Energy Consumption.
J. Softw., 2013