MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design.
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CoRR, 2024
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs.
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Proceedings of the Forty-first International Conference on Machine Learning, 2024
HeroLT: Benchmarking Heterogeneous Long-Tailed Learning.
CoRR, 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily.
CoRR, 2023
Characterizing Long-Tail Categories on Graphs.
CoRR, 2023
Dynamic Transfer Learning across Graphs.
CoRR, 2023
A Benchmark for Federated Hetero-Task Learning.
CoRR, 2022
Indirect-feedback Control of Microwave Hyperthermia System Using Non-invasive Measurement.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022
Robust Bayesian matrix decomposition with mixture of Gaussian noise.
Neurocomputing, 2021