Xinyi Tong

Orcid: 0000-0002-3269-3628

Affiliations:
  • Central Conservatory of Music, Beijing, China
  • Beijing Institute for General Artificial Intelligence, Beijing, China
  • China Aerospace Science and Industry Corporation (CASIC), X LAB, Beijing, China (former)
  • Beihang University, School of Astronautics, Beijing, China (former)


According to our database1, Xinyi Tong authored at least 12 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Video Echoed in Harmony: Learning and Sampling Video-Integrated Chord Progression Sequences for Controllable Video Background Music Generation.
IEEE Trans. Comput. Soc. Syst., April, 2025

2024
Learning Uniformly Distributed Embedding Clusters of Stylistic Skills for Physically Simulated Characters.
CoRR, 2024

MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music.
CoRR, 2024

2023
Reducing Information Loss for Spiking Neural Networks.
CoRR, 2023

2022
Clustering by centroid drift and boundary shrinkage.
Pattern Recognit., 2022

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reducing Information Loss for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
Differentially Private ERM Based on Data Perturbation.
CoRR, 2020

Input Perturbation: A New Paradigm between Central and Local Differential Privacy.
CoRR, 2020

Few-Shot Learning With Attention-Weighted Graph Convolutional Networks For Hyperspectral Image Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Global Self-Labeled Distribution Analysis for Hyperspectral Band Selection.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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