Sen Song
Orcid: 0000-0001-5587-0730
According to our database1,
Sen Song
authored at least 46 papers
between 1997 and 2024.
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Bibliography
2024
Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience.
NeuroImage, 2024
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition.
IEEE Trans. Affect. Comput., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Local Hypergraph-based Nested Named Entity Recognition as Query-based Sequence Labeling.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity.
PLoS Comput. Biol., 2021
An effective self-supervised framework for learning expressive molecular global representations to drug discovery.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Riboexp: an interpretable reinforcement learning framework for ribosome density modeling.
Briefings Bioinform., 2021
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
A Three-Switch-Based Single-Input Dual-Output Converter With Simultaneous Boost & Buck Voltage Conversion.
IEEE Trans. Ind. Informatics, 2020
Learn molecular representations from large-scale unlabeled molecules for drug discovery.
CoRR, 2020
Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity.
CoRR, 2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Exploring EEG microstates for affective computing: decoding valence and arousal experiences during video watching<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.
IEEE Trans. Neural Networks Learn. Syst., 2019
Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks.
IEEE Trans. Cybern., 2019
Modular Tri-Port Converter for Switched Reluctance Motor based Hybrid Electrical Vehicles.
IEEE Access, 2019
2018
NeuroImage, 2018
A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without Perturbation.
Neural Comput., 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network.
CoRR, 2017
CoRR, 2017
Three-phase four-switch inverter fed IPMSM initial position estimation based on HF method.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017
2016
EPBscore: a Novel Method for Computer-Assisted Analysis of Axonal Structure and Dynamics.
Neuroinformatics, 2016
Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity.
Frontiers Comput. Neurosci., 2016
CoRR, 2016
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2002
Biol. Cybern., 2002
2000
Neurocomputing, 2000
1998
Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
1997
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997