Welcome to the LiLAB

Mission Statement

Our work is dedicated to creating cutting-edge algorithms for digital signal processing, specifically designed for speech, audio, radar, and multimodal signals. We focus on impactful applications across various domains, including user-device interfaces, medical technology, media and entertainment, mobility solutions, and educational tools. Our objective is to craft highly efficient solutions by integrating advanced statistical methods, filter implementation, machine learning, and deep learning approaches, all while navigating real-world limitations. Our techniques span a wide range, from feature engineering to state-of-the-art machine learning strategies.

Xingfeng Li
Assistant Professor @FDS
City University of Macau

Accepted Journal Publications 2026

[1] Shi X, He J, Li X, Toda T. A Comprehensive Study on the Effectiveness of ASR Representations for Noise-Robust Speech Emotion Recognition. IEEE Transactions on Audio, Speech and Language Processing. vol. 34, pp. 707-722, 2026, doi: 10.1109/TASLPRO.2026.3654273.

[2] Shenzhi Li, Xingfeng Li, Hao Zhu, Chao Li, Peng Wang, PFDBooster: A Unified Post-Image Fusion Dual-Domain Boosting Paradigm, Knowledge-Based Systems, 2026, 115577, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2026.115577.

Our study on BSR is accepted by Ecological Informatics and now avaliable on line: https://doi.org/10.1016/j.ecoinf.2025.103554
Three papers were accepted by BigData 2025 (acceptance rate 18.7%) @Macau Dec. 2025
Four co-authored papers were accepted by Interspeech 2025 @Netherlands Aug. 2025
Accepted Journal Publications 2025

[1] K. Li, K. Zaman, X. Li, M. Akagi, J. Dang and M. Unoki, "Machine Anomalous Sound Detection Using Spectral-Temporal Modulation Representations Derived From Machine-Specific Filterbanks," in IEEE Transactions on Audio, Speech and Language Processing, vol. 33, pp. 2059-2073, 2025, doi: 10.1109/TASLPRO.2025.3570956.

[2] Y. Liu, X. Chen, Z. Peng, Y. Li, X. Li, P. Song, M. Unoki, and Z. Zhao, "Enhancing Speech Emotion Recognition With Conditional Emotion Feature Diffusion and Progressive Interleaved Learning Strategy," in IEEE Transactions on Audio, Speech and Language Processing, vol. 33, pp. 1787-1800, 2025, doi: 10.1109/TASLPRO.2025.3561606.

[3] J. He, X. Shi, C. H. Hu, J. Mi, X. Li and T. Toda, "M4SER: Multimodal, Multirepresentation, Multitask, and Multistrategy Learning for Speech Emotion Recognition," in IEEE Transactions on Audio, Speech and Language Processing, vol. 33, pp. 4055-4070, 2025, doi: 10.1109/TASLPRO.2025.3614428.

[4] Yang Liu, Xin Chen, Yarong Li, Jie Ma, Xiaoqi Yang, Yuan Song, Xiaolei Meng, Yongwei Li, Xingfeng Li, Zhen Zhao, "Enhanced Speech Emotion Recognition in Noisy Environments: Adaptive Emotion Denoising Diffusion Approach With Iterative Confidence Learning Strategy," in IEEE Internet of Things Journal, vol. 12, no. 20, pp. 43241-43254, 15 Oct.15, 2025, doi: 10.1109/JIOT.2025.3595096.

[5] Xingfeng Li, Ningfeng Luo, Feifei Yu, Junjie Li, Kai Li, Yongwei Li, Zhen Zhao, Yang Liu, Xiaohan Shi, "Human Auditory Representation Learning for cross-dialect bird species recognition" in Ecological Informatics, Volume 93, February 2026, 103554. https://doi.org/10.1016/j.ecoinf.2025.103554

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Welcome to the LiLAB

Mission Statement

Xingfeng Li Assistant Professor @FDSCity University of Macau

Xingfeng Li
Assistant Professor @FDS
City University of Macau