Shunzhi Yang

Orcid: 0000-0003-0621-2525

According to our database¹, Shunzhi Yang authored at least 22 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

ATCSpeechAgent: A Few-Shot Speaker-Adaptive Text-to-Speech Framework for Pseudo-Pilot Generation in Mandarin Air Traffic Control.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., December, 2026

Difference Feedback: Generating Multimodal Process-Level Supervision for VLM Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

A unified framework for sequential recommendation with gated differential amplified attention and repetition-exploration intent modeling.

[BibT_eX]

[DOI]

Neural Networks, 2026

Multiple interpretation ensemble distillation for graph neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2026

A novel knowledge distillation method for graph neural networks with gradient mapping and fusion.

[BibT_eX]

[DOI]

Inf. Fusion, 2026

High-order structural attribution distillation for link prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2026

2025

A Flight Process Importance Framework for Evaluating Pilot Performance During Airplane Landing.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., July, 2025

A Semantically Guided and Focused Network for Occluded Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Adaptive Temperature Distillation method for mining hard samples' knowledge.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Multi-source Feature Map Distillation for enhanced low-resolution object recognition.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2025

Hierarchical Cross-Modal Prompt Learning for Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Learning From Human Educational Wisdom: A Student-Centered Knowledge Distillation Method.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

2023

Skill-Transferring Knowledge Distillation Method.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., November, 2023

A Lightweight Block With Information Flow Enhancement for Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2023

A lightweight speech recognition method with target-swap knowledge distillation for Mandarin air traffic control communications.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2023

A Deep-Learning Approach for Predicting Round Obfuscation in White-Box Block Ciphers.

[BibT_eX]

[DOI]

Proceedings of the Applied Cryptography and Network Security Workshops, 2023

2022

Feature Map Distillation of Thin Nets for Low-Resolution Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

EdgeCRNN: an edge-computing oriented model of acoustic feature enhancement for keyword spotting.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2022

Making accurate object detection at the edge: review and new approach.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2022

2020

EdgeRNN: A Compact Speech Recognition Network With Spatio-Temporal Features for Edge Computing.

[BibT_eX]

[DOI]

IEEE Access, 2020

A New Lightweight CRNN Model for Keyword Spotting with Edge Computing Devices.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2019

EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing.

[BibT_eX]

[DOI]

CoRR, 2019

Shunzhi Yang

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