Dr Lin Wang
Lecturer
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Machine listening, Audio-visual signal processing, Machine learning, Robotic perception
Publications
Publications of specific relevance to the Centre for Multimodal AI2024
Naderi H, Ramirez J, Van Duijvenboden S, Pujadas ER, Aung N, Wang L, Chamling B, Dorr M, Markus MRP, Lekadir K, Petersen SE and Munroe PB (2024). Diagnostic and prognostic value of ECG-predicted hypertension mediated left ventricular hypertrophy using machine learning. 28-10-2024
Wang L, Ciliberto M, Gjoreski H, Lago P, Murao K, Okita T and Roggen D (2024). Summary of SHL Challenge 2024: Motion Sensor-based Locomotion and Transportation Mode Recognition in Missing Data Scenarios. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing. 05-10-2024
Luo J, Phan H, Wang L and Reiss J (2024). Enhanced Speech Emotion Recognition Incorporating Speaker-Sensitive Interactions in Conversations. 2024 IEEE International Conference on Multimedia and Expo (ICME). 19-07-2024
Chen M, Zhang H, Li Y, Luo J, Wu W, Ma Z, Bell P, Lai C, Reiss JD, Wang L, Woodland PC, Chen X, Phan H and Hain T (2024). 1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem. The Speaker and Language Recognition Workshop (Odyssey 2024). 18-06-2024
Ghinassi I, Wang L, Newell C and Purver M (2024). When Cohesion Lies in the Embedding Space: Embedding-Based Reference-Free Metrics for Topic Segmentation. 01-01-2024
2023
Ghinassi I, Wang L, Newell C and Purver M (2023). Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task. PeerJ Computer Science, PeerJ vol. 9 03-11-2023
Clayton M and Wang L (2023). UAV Bioacoustic Monitoring for Bird Survey. 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). 28-10-2023
Wang L, Clayton M and Rossberg AG (2023). Drone audition for bioacoustic monitoring. Methods in Ecology and Evolution, Wiley Open Access 25-10-2023
Li Y, Reiss J and Wang L (2023). Impact of mismatched room acoustic modeling on transaural reproduction with loudspeaker arrays. AES convention 25 Oct 2023 - 27 Oct 2023. 25-10-2023
Wang L, Gjoreski H, Ciliberto M, Lago P, Murao K, Okita T and Roggen D (2023). Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors. Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing. 08-10-2023
Ghinassi I, Wang L, Newell C and Purver M (2023). Lessons Learnt from Linear Text Segmentation: a Fair Comparison of Architectural and Sentence Encoding Strategies for Successful Segmentation. Recent Advances in Natural Language Processing 7 Sep 2023 - 9 Sep 2023. 07-09-2023
Clayton M and Wang L (2023). A UAV Based Sound Acquisition System for Acoustic Monitoring of Birds. 2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM). 27-08-2023
Alex A, Wang L, Gastaldo P and Cavallaro A (2023). Data augmentation for speech separation. Speech Communication, Elsevier vol. 152 01-07-2023
Naderi H, Ramirez J, Van Duijvenboden S, Ruiz Pujadas E, Aung N, Wang L, Chahal CAA, Lekadir K, Petersen SE and Munroe PB (2023). Classifying hypertension mediated left ventricular hypertrophy phenotypes from the 12-lead electrocardiogram using machine learning. European Heart Journal - Cardiovascular Imaging, Oxford University Press (OUP) vol. 24 (Supplement_1) 19-06-2023
Ghinassi I, Wang L, Newell C and Purver M (2023). Multimodal Topic Segmentation of Podcast Shows with Pre-trained Neural Encoders. Proceedings of the 2023 ACM International Conference on Multimedia Retrieval. 12-06-2023
Munroe P (2023). Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning. European Heart Journal – Digital Health, Oxford University Press 01-06-2023
Clayton M, Wang L, Mcpherson A and Cavallaro A (2023). An embedded multichannel sound acquisition system for drone audition. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers 10-05-2023
Mukhutdinov D, Alex A, Cavallaro A and Wang L (2023). Deep learning models for single-channel speech enhancement on drones. IEEE Access, Institute of Electrical and Electronics Engineers, 1-1. 06-03-2023
Luo J, Phan H, Wang L and Reiss J (2023). Mutual Cross-Attention in Dyadic Fusion Networks for Audio-Video Emotion Recognition. 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). 13-01-2023
2022
Wang L and Cavallaro A (2022). Deep learning assisted sound source localization from a flying drone. IEEE Sensors Journal vol. PP (99), 1-1. 23-09-2022
Wang L and Cavallaro A (2022). Sound source localization and enhancement in 3D space from a flying drone. Quiet Drones 2022 27 Jun 2022 - 29 Jun 2022. 27-06-2022
Günthermann L, Wang L, Simpson I, Philippides A and Roggen D (2022). Adversarial Learning in Accelerometer Based Transportation and Locomotion Mode Recognition. Generative Adversarial Learning: Architectures and Applications 01-03-2022
2021
Alex A, Wang L, Gastaldo P and Cavallaro A (2021). Mixup Augmentation for Generalizable Speech Separation. 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP). 08-10-2021
Wang L, Gjoreski H, Ciliberto M, Lago P, Murao K, Okita T and Roggen D (2021). Three-Year Review of the 2018–2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors. Frontiers in Computer Science, Frontiers Media SA vol. 3 21-09-2021
Wang L, Ciliberto M, Gjoreski H, Lago P, Murao K, Okita T and Roggen D (2021). Locomotion and Transportation Mode Recognition from GPS and Radio Signals: Summary of SHL Challenge 2021. Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. 21-09-2021
2020
Wang L, Gjoreski H, Ciliberto M, Lago P, Murao K, Okita T and Roggen D (2020). Summary of the sussex-huawei locomotion-transportation recognition challenge 2020. Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. 10-09-2020
Wang L and Cavallaro A (2020). Deep learning assisted time-frequency processing for speech enhancement on drones. IEEE Transactions on Emerging Topics in Computational Intelligence, Institute of Electrical and Electronics Engineers 24-08-2020
Wang L and Cavallaro A (2020). A blind source separation framework for ego-noise reduction on multi-rotor drones. IEEE/ACM Transactions on Audio Speech and Language Processing vol. 28, 2523-2537. 07-08-2020
Richoz S, Wang L, Birch P and Roggen D (2020). Transportation mode recognition fusing wearable motion, sound and vision sensors. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers (IEEE), 1-1. 13-04-2020
Wang L, Sanchez-Matilla R and Cavallaro A (2020). Audio-visual sensing from a quadcopter: dataset and baselines for source localization and sound enhancement. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 23-01-2020
2019
Wang L, Gjoreski H, Ciliberto M, Lago P, Murao K, Okita T and Roggen D (2019). Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019. UbiComp/ISWC '19 London 9 Sep 2019 - 13 Sep 2019. 10-09-2019
Wang L, Gjoreski H, Ciliberto M, Mekki S, Valentin S and Roggen D (2019). Benchmark Performance for the Sussex-Huawei Locomotion and Transportation Recognition Challenge 2018. Human Activity Sensing 153-170. 10-09-2019
Ciliberto M, Wang L, Roggen D and Zillmer R (2019). Drinking Gesture Recognition from Poorly Annotated Data: A Case Study. Human Activity Sensing 71-89. 10-09-2019
Richoz S, Ciliberto M, Wang L, Birch P, Gjoreski H, Perez-Uribe A and Roggen D (2019). Human and Machine Recognition of Transportation Modes from Body-Worn Camera Images. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). 30-05-2019
Wang L and Roggen D (2019). Sound-based Transportation Mode Recognition with Smartphones. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 17-05-2019
WANG L, Hristijan G, Mathias C, Sami M, Stefan V and Daniel R (2019). Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset. IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) 03-01-2019
2018
Wang L, Gjoreski H, Ciliberto M, Mekki S, Valentin S and Roggen D (2018). Benchmarking the SHL Recognition Challenge with Classical and Deep-Learning Pipelines. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. 08-10-2018
Ciliberto M, Wang L, Roggen D and Zillmer R (2018). A Case Study for Human Gesture Recognition from Poorly Annotated Data. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. 08-10-2018
Wang L, Sanchez-Matilla R and Cavallaro A (2018). Tracking a moving sound source from a multi-rotor drone. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 01-10-2018
Gjoreski H, Ciliberto M, WANG L, Ordonez Morales FJ, Mekki S, Valentin S and Roggen D (2018). The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Device. IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) vol. 6, 42592-42604. 23-07-2018
WANG L and CAVALLARO A (2018). Acoustic Sensing From a Multi-Rotor Drone. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers 11-04-2018
WANG L and CAVALLARO A (2018). Pseudo-determined blind source separation for ad-hoc microphone networks. IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers 07-02-2018
2017
Sanchez-Matilla R, Wang L and Cavallaro A (2017). Multi-Modal Localization and Enhancement of Multiple Sound Sources from a Micro Aerial Vehicle. Proceedings of the 25th ACM international conference on Multimedia. 23-10-2017
WANG L and cavallaro A (2017). Time-frequency processing for sound source localization from a micro aerial vehicle. 42th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017) New Orleans, USA 5 Mar 2017 - 10 Mar 2017. 19-06-2017
WANG L and cavallaro A (2017). Microphone-array ego-noise reduction algorithms for auditory micro aerial vehicles. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers 14-02-2017
2016
Wang L and Cavallaro A (2016). Ear in the Sky: Ego-Noise Reduction for Auditory Micro Aerial Vehicles. 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). 01-08-2016
Wang L, Hon TK, Reiss JD and Cavallaro A (2016). An Iterative Approach to Source Counting and Localization Using Two Distant Microphones. IEEE/ACM Transactions on Audio Speech and Language Processing vol. 24 (6), 1079-1093. 01-06-2016
WANG L, Reiss J and cavallaro A (2016). Over-Determined Source Separation and Localization Using Distributed Microphones. IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers (IEEE) 25-05-2016
Wang L and Doclo S (2016). Correlation maximization-based sampling rate offset estimation for distributed microphone arrays. IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE vol. 24 (3), 571-582. 12-01-2016
2015
Wang L, Hon T-K, Reiss JD and Cavallaro A (2015). Self-Localization of Ad-Hoc Arrays Using Time Difference of Arrivals. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers (IEEE) vol. 64 (4), 1018-1033. 05-11-2015
Hon T-K, Wang L, Reiss JD and Cavallaro A (2015). Fine Landmark-Based Synchronization of Ad-Hoc Microphone Arrays. 2015 23rd European Signal Processing Conference (EUSIPCO). 01-08-2015
Wang L, Gerkmann T and Doclo S (2015). Noise Power Spectral Density Estimation Using MaxNSR Blocking Matrix. IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers vol. 23 (9), 1493-1508. 01-06-2015
Hon TK, Wang L, Reiss JD and Cavallaro A (2015). Audio Fingerprinting for Multi-Device Self-Localisation. IEEE Transactions on Audio, Speech and Language Processing vol. 23, 1623-1636. 01-01-2015
2014
Wang L, Chen Z and Yin F (2014). A Novel Hierarchical Decomposition Vector Quantization Method for High-Order LPC Parameters. IEEE/ACM Transactions on Audio Speech and Language Processing, Institute of Electrical and Electronics Engineers (IEEE) vol. 23 (1), 212-221. 09-12-2014
Wang L (2014). Multi-band multi-centroid clustering based permutation alignment for frequency-domain blind speech separation. Digital Signal Processing, Elsevier vol. 31, 79-92. 01-08-2014
2012
Marquardt D, Wang L, Hohmann V and Doclo S (2012). IMPROVED NOISE ESTIMATION FOR THE BINAURAL MWF WITH INSTANTANEOUS ITF PRESERVATION. 01-01-2012
2011
Wang L, Yin F and Chen Z (2011). An Improved Floating-to-Fixed-Point Conversion Scheme for DCT Quantization Algorithm. Journal of Signal Processing Systems, Springer Nature vol. 66 (2), 135-139. 17-05-2011
Wang L, Ding H and Yin F (2011). TARGET SPEECH EXTRACTION IN COCKTAIL PARTY BY COMBINING BEAMFORMING AND BLIND SOURCE SEPARATION. ACOUSTICS AUSTRALIA vol. 39 (2), 64-68. 01-01-2011
2010
Wang L, Ding H and Yin F (2010). An Improved Method of Permutation Correction in Convolutive Blind Source Separation. Archives of Acoustics, Polish Academy of Sciences Chancellery vol. 35 (4), 493-504. 01-12-2010
Wang L, Yin F and Chen Z (2010). A Stereo Crosstalk Cancellation System Based on the Common-Acoustical Pole/Zero Model. EURASIP Journal on Advances in Signal Processing, Springer Nature vol. 2010 (1) 11-08-2010
Wang L, Ding H and Yin F (2010). A Region-Growing Permutation Alignment Approach in Frequency-Domain Blind Source Separation of Speech Mixtures. IEEE/ACM Transactions on Audio Speech and Language Processing, Institute of Electrical and Electronics Engineers (IEEE) vol. 19 (3), 549-557. 12-07-2010
Wang L, Ding H and Yin F (2010). Combining Superdirective Beamforming and Frequency-Domain Blind Source Separation for Highly Reverberant Signals. EURASIP Journal on Audio, Speech, and Music Processing, Springer Nature vol. 2010 (1) 01-01-2010
2009
Wang L, Yin F and Chen Z (2009). A hybrid compression method for head-related transfer functions. Applied Acoustics, Elsevier vol. 70 (9), 1212-1218. 01-09-2009
2008
Wang L, Yin F and Chen Z (2008). HRTF compression via principal components analysis and vector quantization. IEICE Electronics Express, Institute of Electronics, Information and Communications Engineers (IEICE) vol. 5 (9) 01-01-2008
Grants
Grants of specific relevance to the Centre for Multimodal AIFine-grained music source separation with deep-learning modelsLin Wang and Mark Sandler
£48,144 Innovate UK (01-04-2024 - 31-03-2025)
Bioacoustic monitoring using dronesLin Wang and Axel Rossberg
£46,821 EPSRC Engineering and Physical Sciences Research Council (01-04-2022 - 31-07-2023)