Sen Song

Orcid: 0000-0001-5587-0730

According to our database1, Sen Song authored at least 45 papers between 1997 and 2024.

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Bibliography

2024
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience.
CoRR, 2024

UniMem: Towards a Unified View of Long-Context Large Language Models.
CoRR, 2024

Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents.
CoRR, 2024

2023
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition.
IEEE Trans. Affect. Comput., 2023

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.
CoRR, 2023

Evolving Connectivity for Recurrent Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nested Named Entity Recognition as Building Local Hypergraphs.
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

ZoomNet for Topic-Oriented Fragment Recognition in Long Documents.
IEEE Access, 2022

Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences.
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

Simulated annealing for optimization of graphs and sequences.
Neurocomputing, 2021

An effective self-supervised framework for learning expressive molecular global representations to drug discovery.
Briefings Bioinform., 2021

TrimNet: learning molecular representation from triplet messages for biomedicine.
Briefings Bioinform., 2021

Riboexp: an interpretable reinforcement learning framework for ribosome density modeling.
Briefings Bioinform., 2021

Domain Adaptation for Cross-Subject Emotion Recognition by Subject Clustering.
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

Finding decision jumps in text classification.
Neurocomputing, 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

Brain-inspired global-local hybrid learning towards human-like intelligence.
CoRR, 2020

A Chance-Constrained Generative Framework for Sequence Optimization.
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

Unsupervised Paraphrasing by Simulated Annealing.
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
Dual-TRACER: High resolution fMRI with constrained evolution reconstruction.
NeuroImage, 2018

A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without Perturbation.
Neural Comput., 2018

Zooming Network.
CoRR, 2018

JUMPER: Learning When to Make Classification Decisions in Reading.
CoRR, 2018

Jumper: Learning When to Make Classification Decision in Reading.
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

Event Identification as a Decision Process with Non-linear Representation of Text.
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

Hamiltonian synaptic sampling in a model for reward-gated network plasticity.
CoRR, 2016

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network.
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2002
Spike-timing-dependent plasticity: common themes and divergent vistas.
Biol. Cybern., 2002

2000
Temporally asymmetric Hebbian learning and neuronal response variability.
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
Multiple Agents from the Bottom Up: The Interaction Lab's Robot Competition Effort.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997


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