Jingyuan Zheng

Orcid: 0009-0009-6139-3614

According to our database1, Jingyuan Zheng authored at least 16 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Stochastic Schrödinger Diffusion Models for Pure-State Ensemble Generation.
CoRR, May, 2026

Q-DeepSight: Incentivizing Thinking with Images for Image Quality Assessment and Refinement.
CoRR, April, 2026

Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior Enhancement.
CoRR, March, 2026

Flare detection and detail compensation for nighttime flare removal.
Eng. Appl. Artif. Intell., 2026

2025
Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs.
CoRR, May, 2025

Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis.
CoRR, April, 2025

Multi-scale and contrastive learning for pediatric chest radiograph classification tasks.
Displays, 2025

A mixed-scale dynamic attention transformer for pediatric pneumonia diagnosis.
Displays, 2025

Multi-scale Physics-informed Transformer With Spatio-temporal Feature Adapter For Extreme Precipitation Nowcasting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024
Bounded Containment Maneuvering Protocols for Marine Surface Vehicles With Quantized Communications and Tracking Errors Constrained Guidance: Theory and Experiment.
IEEE Trans. Cybern., December, 2024

SEACC: Self-evolving and adaptive contrastive learning for classification of pediatric pneumonia and anteroposterior/posteroanterior chest radiographs.
Displays, January, 2024

Feature Denoising Diffusion Model for Blind Image Quality Assessment.
CoRR, 2024

Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity.
CoRR, 2023

Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment.
CoRR, 2023


  Loading...