Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary. - Huajian Fang; Guillaume Carbajal; Stefan Wermter; Timo Gerkmann (ITG Conference on Speech Communication, 2021)

Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. - Huajian Fang; Guillaume Carbajal; Stefan Wermter; Timo Gerkmann (ICASSP, 2021)

Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. - Huajian Fang; Tal Peer; Stefan Wermter; Timo Gerkmann (ICASSP, 2022)

Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models. - Huajian Fang; Timo Gerkmann (ICASSP, 2023)

Partially Adaptive Multichannel Joint Reduction of Ego-Noise and Environmental Noise. - Huajian Fang; Niklas Wittmer; Johannes Twiefel; Stefan Wermter; Timo Gerkmann (ICASSP, 2023)

Integrating Uncertainty Into Neural Network-Based Speech Enhancement. - Huajian Fang; Dennis Becker; Stefan Wermter; Timo Gerkmann (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Construction progress and prospect of China's nuclear power industry Internet platform. - Minmin Cheng; Zeyu Mu; Kui Xu; Huajian Fang; Min Li (DTPI, 2024)

Application of the BeiDou Navigation Satellite System in Nuclear Emergency Response. - Huajian Fang; Miaoling Wu; Min Li; Yinggang Jing; Xianying Liu; Linyu Liu (DTPI, 2024)

A New-generation Nuclear Power Industrial Internet Platform Based on Cloud-Edge-Terminal Network Architecture. - Yinggang Jing; Hao Liu; Minmin Cheng; Huajian Fang; Kui Xu; Yang Lan (DTPI, 2024)

Application of LLM Techniques for Data Insights in DHP. - Jun Luo; Chao Ouyang 003; Yinggang Jing; Huajian Fang; Yunlong Xiao; Qing Zhang; Rongjun Li (DTPI, 2024)

Uncertainty-Based Remixing for Unsupervised Domain Adaptation in Deep Speech Enhancement. - Huajian Fang; Timo Gerkmann (IWAENC, 2024)

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance. - Jakob Kienegger; Alina Mannanova; Huajian Fang; Timo Gerkmann (CoRR, 2025)