Publications

2023

1. L. Wang, M. Clayton, and A. Rossberg, "Drone audition for bioacoustic monitoring," Methods in Ecology and Evolution , 14(12): 3068-3082, Dec. 2023. [pdf]
2. I. Ghinassi, L. Wang, C. Newell, and M. Purver, "Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task," PeerJ Computer Science , 9:e1593, 1-34, Nov. 2023. [pdf]
3. Y. Li, L. Wang, and J. Reiss, "Impact of mismatched room acoustic modeling on transaural reproduction with loudspeaker arrays," Proc. Audio Engineering Society Convention 155 (AES 155), 10678, New York, USA, Oct. 2023.
4. L. Wang, H. Gjoreski, M. Ciliberto, P. Lago, K. Murao, T. Okita, and D. Roggen, "Summary of SHL challenge 2023: Recognizing locomotion and transportation mode from GPS and motion sensors," Proc. 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC' 23), 575-585, Cancun, Mexico, Oct. 2023. [pdf] (invited paper)
5. J. Luo, H. Phan, L. Wang, and J. Reiss, "Mutual cross-attention in dyadic fusion networks for audio-video emotion recognition," Proc. International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW 2023) , 1-7, Cambridge, USA, Sep. 2023. [pdf]
6. I. Ghinassi, L. Wang, C. Newell, and M. Purver, "Lessons learnt from linear text segmentation: a fair comparison of architectural and sentence encoding strategies for successful segmentation," Proc. International Conference Recent Advances in Natural Language Processing (RANLP 2023), 408-418, Varna, Bulgaria, Sep. 2023. [pdf]
7. H. Naderi, J. Ramirez, S. van Duijvenboden, E. R. Pujadas, N. Aung, L. Wang, C. A. Chahal, K. Lekadir, S. E. Petersen, and P. B. Munroe, "Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning," European Heart Journal - Digital Health, 4(4): 316–324, Aug. 2023. [pdf]
8. A. Alex, L. Wang, P. Gastaldo, and A. Cavallaro, "Data augmentation for speech separation," Speech Communication, 152(102948): 1-16, July 2023. [pdf]
9. I. Ghinassi, L. Wang, C. Newell, and M. Purver, "Multimodal topic segmentation of podcast shows with pre-trained neural encoders," Proc. ACM International Conference on Multimedia Retrieval (ICMR 2023), 602-606, Thessaloniki, Greece, Jun. 2023. [pdf]
10. M. Clayton, L. Wang, A. McPherson, and A. Cavallaro, "An embedded multichannel sound acquisition system for drone audition," IEEE Sensors Journal, 23(12): 13377-13386, Jun. 2023. [pdf]
11. D. Mukhutdinov, A. Alex, A. Cavallaro and L. Wang, "Deep learning models for single-channel speech enhancement on drones," IEEE Access, 11: 22993-23007, Mar. 2023. [pdf]

2022

1. L. Wang and A. Cavallaro, "Deep learning assisted sound source localization from a flying drone," IEEE Sensors Journal, 22(21): 20828-20838, Nov. 2022. [pdf]
2. H. Naderi, J. Ramírez, S. van Duijvenboden, E. R. Pujadas, L. Wang, K. Lekadir, S. E. Petersen, P. B. Munroe, "Classifying left ventricular hypertrophy from extracted morphological electrocardiogram biomarkers using random rorest," in Computing in Cardiology Conference 2022 (CinC2022), 1-4, Tampere, Finland, Sep. 2022
3. L. Wang and A. Cavallaro, "Sound source localization and enhancement in 3D space from a flying drone," Second International Symposium on Noise from UAVs UASs and eVTOLs (Quiet Drones 2022), 1-11, Paris, France, Jul. 2022.
4. L. Gunthermann, L. Wang, I. Simpson, A. Philippides, D. Roggen (2022): Adversarial learning in accelerometer based transportation and locomotion mode recognition, in Generative Adversarial Learning: Architectures and Applications (R. Razavi-Far, A. Ruiz-Garcia, V. Palade, J.Schmidhuber, Eds), Springer, 205-232.

2021

1. L. Wang and A. Cavallaro, "Deep learning assisted time-frequency processing for speech enhancement on drones," IEEE Transactions on Emerging Topicss in Computational Intelligence, 5(6): 871-881, Dec. 2021. [pdf]
2. A. Alex, L. Wang, P. Gastaldo, A. Cavallaro, "Mixup augmentation of generalizable speech separation," IEEE International Workshop on Multimedia Signal Processing (MMSP 2021), 1-5, Tampere, Finland, Oct. 2021. [pdf]
3. L. Wang, M. Ciliberto, H. Gjoreski, P. Lago, K. Murao, T. Okita, and D. Roggen, "Locomotion and transportation mode recognition from GPS and radio signals: Summary of SHL challenge 2021," Adjunct Proc. 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proc. 2021 ACM International Symposium on Wearable ComputersSeptember(UbiComp' 21), 412-422, Virtual Event, 2021. [pdf] (invited paper)
4. L. Wang H. Gjoreski, M Ciliberto, P. Lago, K. Murao, T. Okita, D. Roggen, "Three-Year review of the 2018–2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors," Frontiers in Computer Science, 3(713719): 1-24, Sep. 2021. [pdf] (Outstanding Article Award)

2020

1. L. Wang and A. Cavallaro, "A blind source separation framework for ego-noise reduction on multi-rotor drones," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 58: 2523-2537, Aug. 2020. [pdf][demo]
2. S. Richoz, L. Wang, P. Birch, and D. Roggen, "Transportation mode recognition fusing wearable motion, sound and vision sensors," IEEE Sensors Journal, 20(16): 9314-9328, Aug. 2020. [pdf]
3. L. Wang, H. Gjoreski, M. Ciliberto, P. Lago, K. Murao, T. Okita, and D. Roggen, "Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2020," Proc. 2020 ACM International Joint Conference and 2020 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp' 20), 351-358, Virtual Event, Mexico, 2020. [pdf] (invited paper)
4. S. Mekki, L. Wang, D. Roggen, and S. Valentin, “Device and method for detecting user activity by parallelized classification,” WO/2020/125965, 2020.

2019

1. L. Wang, H. Gjoreski, M. Ciliberto, S. Mekki, S. Valetin, and D. Roggen, "Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset," IEEE Access, 7: 10870-10891, Jan. 2019. [pdf]
2. L. Wang, H. Gjoreski, M. Ciliberto, P. Lago, K. Murao, T. Okita, and D. Roggen, "Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019," Proc. 2019 ACM International Joint Conference and 2019 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp' 19), 849-856, London, UK, 2019. [pdf] (invited paper)
3. L. Wang, R. S. Matilla, and A. Cavallaro, "Audio-visual sensing from a quadcopter: dataset and baselines for source localization and sound enhancement," Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2019), 1-7, Macau, China, 2019. [pdf][demo](invited paper)
4. S. Richoz, M. Ciliberto, L. Wang, P. Birch, H. Gjoreski, A. Perez-Uribe, and D. Roggen, "Human and machine recognition of transportation modes from body-worn camera images," Proc. International Conference on Activity and Behavior Computing (ABC2019), 1-6, Spokane, USA, 2019. [pdf]
5. L. Wang and D. Roggen, "Sound-based transportation activity recognition from smartphones," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), 930-934, Brighton, UK, 2019. [pdf]
6. L. Wang, H. Gjoreski, M. Ciliberto, S. Mekki, S. Valentin, and D. Roggen (2019): Benchmark performance for the Sussex-Huawei locomotion and transportation recognition challenge 2018, in Human Activity Sensing - Corpus and Applications. (N. Kawaguchi, N. Nishio, D. Roggen, S. Inoute, S. Pirttikangas, K. Van Laerhoven, Eds), Springer, 151-168.
7. M. Ciliberto, L. Wang, R. Zillmer and D. Roggen (2019): Drinking gesture recognition from poorly annotated data: a case study, in Human Activity Sensing - Corpus and Applications. (N. Kawaguchi, N. Nishio, D. Roggen, S. Inoute, S. Pirttikangas, K. Van Laerhoven, Eds), Springer, 71-88.

2018

1. L. Wang and A. Cavallaro, "Acoustic sensing from a multi-rotor drone," IEEE Sensors Journal, 18(11): 4570-4582, Jun. 2018. [pdf]
2. L. Wang and A. Cavallaro, "Pseudo-determined blind source separation for ad-hoc microphone networks" IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26(5): 981-994, May 2018. [pdf][demo]
3. H. Gjoreski, M. Ciliberto, L. Wang, F. J. O. Morales, S. Mekki. S. Valetin, and D. Roggen, "The University of Sussex-Huawei locomotion and transportation dataset for multimodal analytics with mobile devices," IEEE Access, 6: 42592-42604, Jul. 2018. [pdf]
4. L. Wang, R. S. Matilla, and A. Cavallaro, "Tracking a moving sound source from a multi-rotor drone," Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2018), 1-7, Madrid, Spain, 2018. [pdf] (invited paper)
5. L. Wang, H. Gjoreski, K. Murao, T. Okita, and D. Roggen, "Summary of the Sussex-Huawei locomotion-transportation recognition challenge," Proc. 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (Ubicomp' 18), 1521-1530, Singapore, 2018. [pdf] (invited paper)
6. L. Wang, H. Gjoreski, M. Cilliberto, S. Mekki, S. Valentin, and D. Roggen, "Benchmarking the SHL recognition challenge with classical and deep-learning pipelines," Proc. 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (Ubicomp' 18), 1626-1635, Singapore, 2018. [pdf]
7. M. Cilibert, L. Wang, D. Roggen, and R. Zillmer , "A case study for human gesture recognition from poorly annotated data," Proc. 6th International Workshop on Human Activity Sensing Corpus and Applications (Ubicomp' 18), 1-10, Singapore, 2018. [pdf]

2017

1. L. Wang and A. Cavallaro, "Microphone-array ego-noise reduction for auditory micro aerial vehicles," IEEE Sensors Journal, 17(8): 2447-2455, Apr. 2017. [pdf][demo]
2. L. Wang, R. S. Matilla, and A. Cavallaro, "Multi-modal localization and enhancement of multiple sound sources from a micro aerial vehicle," Proc. ACM Multimedia 2017, 1-8, Silicon Valley, USA, 2017. [pdf][demo]
3. L. Wang and A. Cavallaro, "Time-frequency processing for sound source localization from a micro aerial vehicle," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), 1-5, New Orleans, USA, 2017. [pdf]

2016

1. L. Wang, J. D. Reiss, and A. Cavallaro, "Over-determined source separation and localization using distributed microphones," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24(9): 1569-1584, Sep. 2016. [pdf]
2. L. Wang, T. Hon, J. D. Reiss, and A. Cavallaro, "An iterative approach to source counting and localization from two distant microphones," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24(6): 1079-1093, Jun. 2016. [pdf]
3. L. Wang and S. Doclo, "Correlation maximization based sampling rate offset estimation for distributed microphone arrays," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24(3): 571-582, Mar. 2016. [pdf](Cover Article)
4. L. Wang, T. Hon, J. D. Reiss, and A. Cavallaro, "Self-localization of ad-hoc arrays using time difference of arrivals," IEEE Transactions on Signal Processing, 64(4): 1018-1033, Feb. 2016. [pdf]
5. L. Wang and A. Cavallaro, "Ear in the sky: ego-noise reduction for auditory micro aerial vehicles," Proc. Internatioal Conference on Advanced Video and Signal-based Surveillance (AVSS2016), 1-7, Colorado Springs, USA, 2016.[pdf]

2015

1. L. Wang, T. Gerkmann, and S. Doclo, "Noise power spectral density estimation using MaxNSR blocking matrix," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23(9): 1493-1508, Sep. 2015. [pdf]
2. L. Wang, Z. Chen, and F. Yin, "A novel hierarchical decomposition vector quantization method for high-order LPC parameters," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23(1): 212-221, Jan. 2015. [pdf]
3. T. Hon, L. Wang, J. D. Reiss, and A. Cavallaro, "Audio fingerprinting for multi-device self-localization," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23(10): 1623-1636, Jan. 2015. [pdf]
4. T. Hon, L. Wang, J. Reiss, and A. Cavallaro , "Fine landmark-based synchronization of ad-hoc microphone arrays," Proc. 2015 European Signal Processing Conference (EUSIPCO2015), 1-5, Nice, France, 2015.[pdf]

2014

1. L. Wang, "Multi-band multi-centroid clustering based permutation alignment for frequency-domain blind speech separation," Elsevier Digital Signal Processing, 31(1): 79-92, Aug. 2014. [pdf] [demo]
2. L. Wang, H. Ding, and F. Yin (2014): Combining superdirective beamforming and frequency-domain blind source separation for highly reverberant signals, in Advances in Modern Blind Source Separation Techniques: Theory and Applications. (G. Naik and W. Wang, Eds), Springer, 323-348.
3. F. Yin, Z. Chen, and L. Wang, "A multiple group vector quantization scheme for high-order LPC parameters," CN102867516B, 2014.

2013

1. J. Dai, L. Zhang, E. Shlomot, and L. Wang, "A method and device for generating background noise exciting signals," US8370154B2, 2013.

2012

1. L. Wang, F. Yin, and Z. Chen, An improved floating-to-fixed-point conversion scheme for DCT quantization algorithm. Journal of Signal Processing System, 66: 135-139, 2012. [pdf]
2. D. Marquardt, L. Wang, V. Hohmann, and S. Doclo , "Improved noise estimation for the binaural MWF with instantaneous ITF preservation," Proc. European Signal Processing Conference (EUSIPCO 2012), 1-5, Bucharest, Romania, 2012. [pdf]
3. L. Wang, T. Gerkmann, and S. Doclo, "Noise PSD estimation using blind source separation in a diffuse noise field," Proc. International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 73-76, Aachen, Germany, 2012. [pdf]

2011

1. L. Wang, H. Ding, and F. Yin, "A region-growing permutation alignment approach in frequency-domain blind source separation of speech mixtures," IEEE Transactions on Audio, Speech, and Language Processing, 19(3): 549-557, Mar. 2011. [pdf]
2. L. Wang, H. Ding, and F. Yin, "Target speech extraction in cocktail party by combining beamforming and blind source separation," Acoustics Australia, 39(2): 64-68, Feb. 2011. [pdf][demo]
3. F. Yin, L. Wang, and Z. Chen, "Review on 3D audio technology, Journal on Communication," 32(2): 130-138, Feb. 2011. (Chinese).

2010

1. L. Wang, F. Yin, and Z. Chen, "A Stereo crosstalk cancellation system based on the common-acoustical pole/zero model," EURASIP Journal on Advanced Signal Processing, 2010(719197): 1-11, 2010. [pdf]
2. L. Wang, H. Ding, and F. Yin, "Combining superdirective beamforming and frequency-domain blind source separation for highly reverberant signals," EURASIP Journal on Audio, Speech, and Music Processing, 2010 (797962): 1-13, 2010. [pdf]

2009

1. L. Wang, F. Yin, and Z. Chen, "A hybrid compression method for head-related transfer functions," Applied Acoustics, 70(9): 1212-1218, Sep. 2009. [pdf]
2. L. Wang, H. Ding, and F. Yin, "Region-growing permutation alignment approach in frequency-domain convolutive blind source separation," Canadian Acoustics, 37(3): 82-83, Sep. 2009.
3. L. Wang, F. Yin, and Z. Chen, "Head-related transfer function interpolation through multivariate polynomial fitting of principal component weights," Acoustical Science and Technology, 30(6): 395-403, Jun. 2009. [pdf]
4. L. Wang, F. Yin, and Z. Chen, "Common-acoustical-poles/zeros modeling of HRTF using logarithmic error criterion," Journal of Electronics & Information Technology, 31(2): 306-309, Feb. 2009. (Chinese).
5. L. Wang, F. Yin, and Z. Chen, "Subjective selection of near individualized head-related transfer functions for 3D sound," Journal of Signal Processing 25(7): 1097-1203, Jul. 2009. (Chinese)
6. L. Wang, F. Yin, and Z. Chen, "An out of head acoustic field enhancement system for headphone and its implementation on DSP," Journal of Signal Processing, 25(4): 575-581, 2009. (Chinese).

2008

1. L. Wang, F. Yin, and Z. Chen, "An indirect interpolation method for Head-Related Transfer Function pole-zero models," Acoustical Science and Technology, 29(5): 329-331, May 2008. [pdf]
2. L. Wang, F. Yin, and Z. Chen, "HRTF compression via principal components analysis and vector quantization," IEICE Electronics Express, 5(9): 321-325, May 2008. [pdf]
3. L. Wang, F. Yin, and Z. Chen, "An “out of head” sound field enhancement system for headphone," Proc. International Conference on Neural Networks and Signal Processing (ICNNSP2008), 1-4, Nanjing, China, 2008. [pdf]
4. L. Wang, F. Yin, and Z. Chen, "An octonary huffman decoding method and its application to MPEG-4," Journal of Electronics & Information Technology 30(8), 1861-1864, 2008 (Chinese).

2007

1. L. Wang, Y. Jing, and Y. Cao (2007): Dynamic video surveillance system based on microphone array sound source localization, in Project Selections in 2006 Analog Devices Chinese University Design Competition. Publishing House of Electronics Industry, Beijing, China. (Chinese)

2006

1. X. Zhang, F. Yin, and L. Wang, "A method of untouched image localization for paper cutting," Proc. World Congress in Intelligent Control and Automation (WCICA2006), 1-4, Dalian, China, 2006. [pdf]
2. L. Wang, Y. Liu, Z. Chen, J. Dai and F. Yin, "An MPEG-4 decoding system based on ADI BF533," Electronic Technology and Application, 32(7): 112-115, 2006. (Chinese).