Continual Learning for On-Ddevice Environmental Sound Classification. - Yang Xiao 019; Xubo Liu 001; James A. King; Arshdeep Singh; Eng Siong Chng; Mark D. Plumbley; Wenwu Wang 001 (DCASE, 2022)

Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting. - Yang Xiao 019; Nana Hou; Eng Siong Chng (INTERSPEECH, 2022)

Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness. - Dianwen Ng; Jin Hui Pang; Yang Xiao 019; Biao Tian; Qiang Fu 001; Eng Siong Chng (CoRR, 2022)

Continual Learning For On-Device Environmental Sound Classification. - Yang Xiao 019; Xubo Liu 001; James A. King; Arshdeep Singh; Eng Siong Chng; Mark D. Plumbley; Wenwu Wang 001 (CoRR, 2022)

Small Footprint Multi-channel Network for Keyword Spotting with Centroid Based Awareness. - Dianwen Ng; Yang Xiao 019; Jia Qi Yip; Zhao Yang; Biao Tian; Qiang Fu 001; Eng Siong Chng; Bin Ma 001 (INTERSPEECH, 2023)

Advancing Airport Tower Command Recognition: Integrating Squeeze-and-Excitation and Broadcasted Residual Learning. - Yuanxi Lin; Tonglin Zhou; Yang Xiao 019 (IALP, 2024)

Dual Knowledge Distillation for Efficient Sound Event Detection. - Yang Xiao 019; Rohan Kumar Das (ICASSP Workshops, 2024)

FMSG-JLESS Submission for DCASE 2024 Task4 on Sound Event Detection with Heterogeneous Training Dataset and Potentially Missing Labels. - Yang Xiao 019; Han Yin; Jisheng Bai; Rohan Kumar Das (CoRR, 2024)

WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System. - Yang Xiao 019; Rohan Kumar Das (CoRR, 2024)

Configurable DOA Estimation using Incremental Learning. - Yang Xiao 019; Rohan Kumar Das (CoRR, 2024)

AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting. - Yang Xiao 019; Tianyi Peng; Rohan Kumar Das; Yuchen Hu; Huiping Zhuang (ACL (Findings), 2025)

RawTFNet: A Lightweight CNN Architecture for Speech Anti-Spoofing. - Yang Xiao 019; Ting Dang; Rohan Kumar Das (APSIPA, 2025)

DG-SED: Domain Generalization for Sound Event Detection with Heterogeneous Training Data. - Yang Xiao 019; Han Yin; Jisheng Bai; Rohan Kumar Das (APSIPA, 2025)

Dark Experience for Incremental Keyword Spotting. - Tianyi Peng; Yang Xiao 019 (ICASSP, 2025)

UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection. - Yang Xiao 019; Rohan Kumar Das (ICASSP, 2025)

Exploring Text-Queried Sound Event Detection with Audio Source Separation. - Han Yin; Jisheng Bai; Yang Xiao 019; Hui Wang 030; Siqi Zheng; Yafeng Chen; Rohan Kumar Das; Chong Deng; Jianfeng Chen (ICASSP, 2025)

Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection. - Han Yin; Yang Xiao 019; Jisheng Bai; Rohan Kumar Das (ICASSP Workshops, 2025)

Where's That Voice Coming? Continual Learning for Sound Source Localization. - Yang Xiao 019; Rohan Kumar Das (ICME, 2025)

TF-Mamba: A Time-Frequency Network for Sound Source Localization. - Yang Xiao 019; Rohan Kumar Das (INTERSPEECH, 2025)

Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing. - Yang Xiao 019; Rohan Kumar Das (INTERSPEECH, 2025)

AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation. - Yang Xiao 019; Tianyi Peng; Yanghao Zhou; Rohan Kumar Das (INTERSPEECH, 2025)

EnvSDD: Benchmarking Environmental Sound Deepfake Detection. - Han Yin; Yang Xiao 019; Rohan Kumar Das; Jisheng Bai; Haohe Liu; Wenwu Wang 001; Mark D. Plumbley (INTERSPEECH, 2025)

Noise-Robust Sound Event Detection and Counting via Language-Queried Sound Separation. - Yuanjian Chen; Yang Xiao 019; Han Yin; Yadong Guan; Xubo Liu 001 (IEEE Signal Process. Lett., 2025)

XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection. - Yang Xiao 019; Rohan Kumar Das (IEEE Signal Process. Lett., 2025)

Multilingual Source Tracing of Speech Deepfakes: A First Benchmark. - Xi Xuan; Yang Xiao 019; Rohan Kumar Das; Tomi Kinnunen (CoRR, 2025)

ESDD 2026: Environmental Sound Deepfake Detection Challenge Evaluation Plan. - Han Yin; Yang Xiao 019; Rohan Kumar Das; Jisheng Bai; Ting Dang (CoRR, 2025)

Environmental Sound Deepfake Detection Challenge: An Overview. - Han Yin; Yang Xiao 019; Rohan Kumar Das; Jisheng Bai; Ting Dang (CoRR, 2025)

ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge Evaluation Plan. - Xueping Zhang; Han Yin; Yang Xiao 019; Lin Zhang 054; Ting Dang; Rohan Kumar Das; Ming Li 026 (CoRR, 2026)

Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource Languages. - Yang Xiao 019; Eun-Jung Holden; Ting Dang (CoRR, 2026)

Focus Then Listen: Exploring Plug-and-Play Audio Enhancer for Noise-Robust Large Audio Language Models. - Han Yin; Yang Xiao 019; Younghoo Kwon; Ting Dang; Jung-Woo Choi (CoRR, 2026)

The First Environmental Sound Deepfake Detection Challenge: Benchmarking Robustness, Evaluation, and Insights. - Han Yin; Yang Xiao 019; Rohan Kumar Das; Jisheng Bai; Ting Dang (CoRR, 2026)

PolyBench: A Benchmark for Compositional Reasoning in Polyphonic Audio. - Yuanjian Chen; Yang Xiao 019; Han Yin; Xubo Liu 001; Jinjie Huang; Ting Dang (CoRR, 2026)

Continual Adaptation for Pacific Indigenous Speech Recognition. - Yang Xiao 019; Aso Mahmudi; Nick Thieberger; Eliathamby Ambikairajah; Eun-Jung Holden; Ting Dang (CoRR, 2026)

Rethinking Continual Learning for Speech and Audio: A Representation-Centric Taxonomy and Open Problems. - Yang Xiao 019; Siyi Wang; Eun-Jung Holden; Ting Dang (CoRR, 2026)

Why Can't They Remember? Uncovering Representation and Retrieval Bottlenecks in Multi-Turn Acoustic Memory. - Yang Xiao 019; Siyi Wang; Han Yin; Hong Jia; Vidhyasaharan Sethu; Eun-Jung Holden; Ting Dang (CoRR, 2026)