Hongqing Liu

Hongqing Liu

Audio Signal Processing

Award

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Congratulations to the team for proposing ‘A Semi-Supervised Acoustic Scene Classification Network Based on Multi-Modal Information Fusion’, achieving thrid place globally in City and Time-Aware Semi-supervised Acoustic Scene Classification, APSIPA ASC 2025 Grand Challenge.

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Award

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Congratulations!

  • Our paper ’Harmonic and Entropy Neural Modeling with Demographic Fusion for Speech-Based Depression Detection’ received the best paper award from International Conference on Artificial Neural Networks (ICANN) 2026.

Digital Signal Processing

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Great news!

  • Our team’s paper on active noise control, “Subband Active Noise Control with Pre-Trained Filters: A Low-Complexity Adaptive Combination Weight Algorithm,” has been accepted by Digital Signal Processing. The main contribution of this work lies in its low-complexity design, which significantly improves the practical applicability of the algorithm.

INTERSPEECH

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Congratulations!

  • The papers “GISNO: Neural Operator-based HRTF Personalization from 3D Meshes via Differentiable Helmholtz Rendering”, “NCPSZ: A Nonlinear Control Network for Miniature Loudspeakers in Personal Sound Zone Applications”, and “A Sparsity-Aware Robust Nonlinear Active Noise Control for Impulsive Noise Environments” have been accepted by INTERSPEECH, 2026.

ICASSP

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Published:

Congratulations!

  • The papers “A Data-Driven Framework for Personal Sound Zone Control Addressing Loudspeaker Nonlinearities” and “A Speech-Driven Paradigm for physics-informaned Modeling of Coupled Micro-Speakers” have been accepted by ICASSP, 2026.