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publications
Learning Temporal–Spectral Feature Fusion Representation for Radio Signal Classification
Published in IEEE Transactions on Industrial Informatics (IF 11.8, SCI TOP 1区), 2024
Knowledge + data driven temporal–spectral feature fusion with CutMix for robust radio signal classification (IEEE TII, student first author).
Recommended citation: Z Feng, S Chen, Y Ma, Y Gao, S Yang. "Learning Temporal–Spectral Feature Fusion Representation for Radio Signal Classification." IEEE Transactions on Industrial Informatics, 21(1), 791-800, 2024. (学生一作 / co-first author)
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A Generative Self-Supervised Framework for Cognitive Radio Leveraging Time-Frequency Features and Attention-Based Fusion
Published in IEEE Transactions on Wireless Communications (IF 8.79, SCI TOP 1区), 2024
End-to-end generative self-supervised cognitive radio framework with channel-spectrum attention fusion and hybrid prompts (IEEE TWC, student first author).
Recommended citation: S Chen, Z Feng, S Yang, Y Ma, J Liu, Z Qi. "A Generative Self-Supervised Framework for Cognitive Radio Leveraging Time-Frequency Features and Attention-Based Fusion." IEEE Transactions on Wireless Communications, 24(3), 1866-1880, 2024. (学生一作)
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Few-Shot Metric Learning with Time-Frequency Fusion for Specific Emitter Identification
Published in Remote Sensing, 16(24), 4635, 2024
Few-shot metric learning with time-frequency fusion for specific emitter identification (Remote Sensing).
Recommended citation: S Mu, Y Zu, S Chen, S Yang, Z Feng, J Zhang. "Few-Shot Metric Learning with Time-Frequency Fusion for Specific Emitter Identification." Remote Sensing, 16(24), 4635, 2024.
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DAE-GSP: Discriminative Autoencoder with Gaussian Selective Patch for Multimodal Remote Sensing Image Classification
Published in IEEE Transactions on Geoscience and Remote Sensing, 63, 1-14, 2024
Discriminative autoencoder with Gaussian selective patch for multimodal remote sensing image classification (IEEE TGRS).
Recommended citation: M Li, Z Feng, S Yang, Y Ma, L Song, S Chen, L Jiao, J Zhang. "DAE-GSP: Discriminative Autoencoder with Gaussian Selective Patch for Multimodal Remote Sensing Image Classification." IEEE TGRS, 63, 1-14, 2024.
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Generative Model with Sinkhorn–Knopp Loss for Unsupervised Signal Modulation Clustering
Published in IEEE Transactions on Industrial Informatics, 20(11), 12860-12870, 2024
Unsupervised signal modulation clustering via generative models with Sinkhorn–Knopp loss (IEEE TII).
Recommended citation: J Liu, Z Feng, S Yang, S Chen, Y Ma. "Generative Model with Sinkhorn–Knopp Loss for Unsupervised Signal Modulation Clustering." IEEE TII, 20(11), 12860-12870, 2024.
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RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
Published in arXiv:2501.17888 (JSAC 在投 / under review, CCF-A), 2025
Bridging LLMs and cognitive radio through hybrid prompt design and token reprogramming (arXiv; JSAC under review, CCF-A).
Recommended citation: S Chen, Y Zu, Z Feng, S Yang, M Li. "RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings." arXiv:2501.17888, 2025. (学生一作; extended version under review at IEEE JSAC, CCF-A)
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Enhanced Prediction of Partial Nitrification-Anammox Process in Wastewater Treatment by Developing an Attention-Based Deep Learning Network
Published in Journal of Environmental Management (IF 7.9, SCI TOP 2区), 2025
Attention-based deep learning (LSTM + DenseNet) for PN-anammox process prediction, deployed in Tokyo industrial wastewater plants.
Recommended citation: J Ji, Z Feng, S Chen. "Enhanced Prediction of Partial Nitrification-Anammox Process in Wastewater Treatment by Developing an Attention-Based Deep Learning Network." Journal of Environmental Management, 374, 124012, 2025. (学生一作)
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Contrastive Learning with Feature-Level Augmentation for Wireless Signal Representation
Published in Electronics, 14(13), 2728, 2025
Contrastive learning with feature-level augmentation for wireless signal representation (Electronics).
Recommended citation: S Mu, S Chen, Y Zu, Z Feng, S Yang. "Contrastive Learning with Feature-Level Augmentation for Wireless Signal Representation." Electronics, 14(13), 2728, 2025.
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ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex Reasoning
Published in arXiv:2510.00690, 2025
Adaptive curriculum policy optimization for aligning VLMs in complex reasoning (Xiaomi collaboration).
Recommended citation: Y Wang, S Chen, Z Li, T Liu, C Song, J Jiang, J Zhu, P Gao, B Qin. "ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex Reasoning." arXiv:2510.00690, 2025.
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MM-CL: Enhancing Modulation Classification Through Multi-Modal Contrastive Learning with Phase Density
Published in IEEE Transactions on Cognitive Communications and Networking, 2026
Multi-modal contrastive learning with phase density for modulation classification (IEEE TCCN).
Recommended citation: J Liu, S Yang, Z Feng, Q Pan, Y Ma, S Chen, Y Zu. "MM-CL: Enhancing Modulation Classification Through Multi-Modal Contrastive Learning with Phase Density." IEEE TCCN, 2026.
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Time-Aware Attention Network for Multi-Step Future Prediction in Wastewater Treatment
Published in Journal of Environmental Management, 411, 130193, 2026
Time-aware attention network for multi-step future prediction in wastewater treatment (JEM).
Recommended citation: Y Zu, J Ji, S Chen, Z Feng. "Time-Aware Attention Network for Multi-Step Future Prediction in Wastewater Treatment." Journal of Environmental Management, 411, 130193, 2026.
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SCAW: Exploring Semantic Structures of Radio Signals via Soft Top-k Contrastive and Adaptive Consistency With Wavelet Refinement
Published in IEEE Transactions on Cognitive Communications and Networking, 2026
Soft top-k contrastive learning with adaptive consistency and wavelet refinement for radio signal semantics (IEEE TCCN).
Recommended citation: Y Zu, S Yang, Z Feng, X Zhang, Y Lu, S Chen, J Liu, Q Pan. "SCAW: Exploring Semantic Structures of Radio Signals via Soft Top-k Contrastive and Adaptive Consistency With Wavelet Refinement." IEEE TCCN, 2026.
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teaching
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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