Jing Luo
Orcid: 0000-0001-7138-3705Affiliations:
- Xi'an Jiaotong University, Department of Computer Science, Xi'an, China
  According to our database1,
  Jing Luo
  authored at least 15 papers
  between 2018 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on orcid.org
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Bibliography
  2025
Small Tunes Transformer: Exploring Macro and Micro-level Hierarchies for Skeleton-Conditioned Melody Generation.
    
  
    Proceedings of the MultiMedia Modeling, 2025
    
  
  2024
    IEEE Trans. Neural Networks Learn. Syst., August, 2024
    
  
    IEEE Trans. Knowl. Data Eng., July, 2024
    
  
A Survey on Deep Learning for Symbolic Music Generation: Representations, Algorithms, Evaluations, and Challenges.
    
  
    ACM Comput. Surv., January, 2024
    
  
Small Tunes Transformer: Exploring Macro & Micro-Level Hierarchies for Skeleton-Conditioned Melody Generation.
    
  
    CoRR, 2024
    
  
BandControlNet: Parallel Transformers-based Steerable Popular Music Generation with Fine-Grained Spatiotemporal Features.
    
  
    CoRR, 2024
    
  
  2023
Affective Reasoning at Utterance Level in Conversations: A Causal Discovery Approach.
    
  
    CoRR, 2023
    
  
Dual Attention-Based Multi-Scale Feature Fusion Approach for Dynamic Music Emotion Recognition.
    
  
    Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023
    
  
    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
    
  
  2022
    Neural Process. Lett., 2022
    
  
    Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
    
  
  2020
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions.
    
  
    CoRR, 2020
    
  
  2019
    Multim. Tools Appl., 2019
    
  
  2018
Combining auditory perception and visual features for regional recognition of Chinese folk songs.
    
  
    Proceedings of the 2018 10th International Conference on Computer and Automation Engineering, 2018