Halim, J., Wang, S., Jia, H., Dang, T.

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition

INTERSPEECH 2025

Ambikairajah, E., Wu, J., Dang, T., Sethu, V.

A Study of Speech Embedding Similarities Between Australian Aboriginal and High-Resource Languages

INTERSPEECH 2025

Izhar, A., Japar, N., Idris, N., Dang, T.

MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation

IJCNN 2025 TAIM Workshop

Tang, X., Huang, J., Lin, Y., Dang, T., Cheng, J.

Speech Emotion Recognition Via CNN-Transformer and Multidimensional Attention Mechanism

Speech Communication

Vavaroutas, S., Dang, T., Rocheteau, E., Mascolo, C.

SQUIREDL: Sparse Sequence-to-Sequence Uncertainty Estimation in Evidential Deep Learning

ACM Transactions on Computing for Healthcare

Hong, X., Gong, Y., Sethu, V., Dang, T.

AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models

ICASSP 2025

Quan, J., Al-Naimi, K., Wei, X., Liu, Y., Montanari, A., Dang, T.

Cognitive Load Monitoring via Earable Acoustic Sensing

ICASSP 2025

Dang, T., Jia, H.

Multimodal Large Language Models in Human-centered Health: Practical Insights

IEEE Pervasive Computing

Jia, H., Kwon, Y., Orsino, A., Dang, T., Talia, D., Mascolo, C.

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices

NeurIPS 2024

Wang, X., Dang, T., Kostakos, V., Jia, H.

Efficient and Personalized Mobile Health Event Prediction via Small Language Models

MobiCom Workshop EIFCom 2024

Wu, J., Dang, T., Sethu, V., Ambikairajah, E.

Emotion Recognition Systems Must Embrace Ambiguity

ACII Satellite Workshop EASE 2024

Wu, Y., Dang, T., Spathis, D., Jia, H., Mascolo, C.

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast

ACM International Conference on Information and Knowledge Management (CIKM) 2024

Hu, Y., Zhang, S., Dang, T., Jia, H., Salim, FD., Hu, W., Quigley, AJ.

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

UbiComp Workshop WellComp 2024

Wu, J., Dang, T., Sethu, V., Ambikairajah, E.

Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction

INTERSPEECH 2024

Shahid, I., Al-Naimi, K., Dang, T., Liu, Y., Kawsar, F., Montanari, A.

Towards Enabling DPOAE Estimation on Single-Speaker Earbuds

ICASSP 2024

Nan, Z., Dang, T., Sethu, V., Ahmed, B.

Variational connectionist temporal classification for order-preserving sequence modeling

ICASSP 2024

Romero, J., Ferlini, A., Spathis, D., Dang, T., Farrahi, K., Kawsar, F., Montanari, A.

OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring

HotMobile 2024

Xia, T., Dang, T., Han, J., Qendro, L., Mascolo, C.

Uncertainty-aware Health Diagnostics via Class-balanced Evidential Deep Learning

IEEE Journal of Biomedical and Health Informatics

Ma, D., Dang, T., Ding, M., Balan, R.

ClearSpeech: Improving Voice Quality of Earbuds Using Both In-Ear and Out-Ear Microphones

UbiComp, 2024

Demirel, BU., Dang, T., Al-Naimi, K., Kawsar, F., Montanari, A.

Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones

UbiComp, 2024

Wu, J., Dang, T., Sethu, V., Ambikairajah, E.

Belief Mismatch Coefficient (BMC): A Novel Interpretable Measure of Prediction Accuracy for Ambiguous Emotion States.

Affective Computing and Intelligent Interaction (ACII), 2023.

🏆 Best paper award

Dang, T., Ghosh, A., Spathis, D., Mascolo, C.

Human-centered AI for mobile health sensing: challenges and opportunities

Royal Society Open Science

2023

Special selection

Dang, T., Han, J.*, Xia, T.*, Bondareva, E., Brown, C., Chauhan, J., Grammenos, A., Spathis, D., Cicuta, P., Mascolo, C.

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19

ACM SIGKDD on Knowledge Discovery and Data Mining (KDD) 2023.

[Promotion video]

Butkow, K., Dang, T., Ferlini, A., Ma, D., Mascolo, C.

hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones

IEEE International Conference on Pervasive Computing and Communications (PerCom) 2023

Wickramasinghe, B., Ambikairajah, E., Sethu, V., Epps, J., Li, H., Dang, T.

DNN controlled adaptive front-end for replay attack detection systems

Speech Communication

154, 102973, 2023.

Wu, J., Dang, T., Sethu, V., Ambikairajah, E.

From Interval to Ordinal: A HMM based Approach for Emotion Label Conversion

Interspeech 2023

Dang, T., Dimitriadis, A., Wu, J., Sethu, V., Ambikairajah, E.

Constrained dynamical neural ode for time series modelling: A case study on continuous emotion prediction.

ICASSP, 2023.

[Poster]

🏆 Top 3% paper award

Han, J., Montagna, M., Grammenos, A., Xia, T., Bondareva, E., Brown, C., Chauhan, J., Dang, T., Spathis, D., Floto, A., Cicuta, P., Mascolo, C.

Evaluating Listening Performance for COVID-19 Detection between Clinicians and Machine Learning: A Comparative Study

Journal of Medical Internet Research, 2023

Wu, J., Dang, T., Sethu, V., Ambikairajah, E.

Multimodal Affect Models: An investigation of relative salience of audio and visual cues for emotion prediction

Frontiers in Computer Science, 2021.

Hu, C., Ma, X., Ma, D., Dang, T.

Lightweight and Non-invasive User Authentication on Earables

HotMobile 2023

Dang, T., Han, J., Xia, T., Spathis, D., Bondareva, E., Brown, C., Chauhan, J., Grammenos, A., Hasthanasombat, A., Floto, A., Cicuta, P., Mascolo, C.

Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation.

Journal of Medical Internet Research, 2023

Media Coverage

Xia, T., Han, J., Qendro, L., Dang, T., Mascolo, C.

Hybrid-EDL: Improving Evidential Deep Learning for Uncertainty Quantification on Imbalanced Data

NeurIPS Workshop TSRML 2022

Dang, T., Quinnell, T., Mascolo, C.

Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch

INTERSPEECH 2022

Wu, J., Dang, T., Sethu, V., Epps, J., Ambikairajah, E.

A Novel Sequential Monte Carlo Framework for Predicting Ambiguous Emotion States

ICASSP 2022

Han, J., Xia, T., Spathis, D., Bondareva, E., Brown, C., Chauhan, J., Dang, T., Grammenos, A., Hasthanasombat, A., Floto, A., Cicuta, P., Mascolo, C.

Sounds of COVID-19: exploring realistic performance of audio-based digital testing.

NPJ digital medicine, 2022

Media Coverage

Xia, T., Spathis, D., Ch, J., Grammenos, A., Han, J., Hasthanasombat, A., Bondareva, E., Dang, T., Floto, A., Cicuta, P., Mascolo, C.

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital COVID-19 Detection

NeurIPS Datasets and Benchmarks Track, 2021

Xia, T., Han, J., Qendro, L., Dang, T., Mascolo, C.

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data

Interspeech 2021

B., D., Dang, T., Sethu, V., Ambikairajah, E., Fernando, S.

A Novel Bag-of-Optimised-Clusters Front-End for Speech based Continuous Emotion Prediction

Affective Computing and Intelligent Interaction(ACII), 2019

Ouyang, A., Dang, T., Sethu, V., Ambikairajah, E.

Speech Based Emotion Prediction: Can a Linear Model Work?

Interspeech 2019

Dang, T., Sethu, V., Ambikairajah, E.

Compensation techniques for speaker variability in continuous emotion prediction

IEEE Transaction on Affective Computing

2018.

Dang, T., Sethu, V., Ambikairajah, E.

Dynamic multi-rater Gaussian Mixture Regression incorporating temporal dependencies of emotion uncertainty using kalman filters

ICASSP 2018

Dang, T., Sethu, V., Epps, J., Ambikairajah, E.

An investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression

Interspeech 2017

Dang, T., Stasak, B., Huang, Z., Jayawardena, S., Atcheson, M., Hayat, M., Le, P., Sethu, V., Goecke, R., Epps, J.

Investigating Word affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017

the 7th Annual Workshop on Audio/Visual Emotion Challenge, ACM Multimedia, 2017

Dang, T., Sethu, V., Ambikairajah, E.

Factor Analysis Based Speaker Normalisation for Continuous Emotion Prediction

Interspeech 2016

Huang, Z., Stasak, B., Dang, T., Wataraka Gamage, K., Le, P., Sethu, V., Epps, J.

Staircase Regression in OA RVM, Data Selection and Gender Dependency in AVEC 2016

In Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, ACM Multimedia, 2015

Huang, Z., Dang, T., Cummins, N., Stasak, B., Le, P., Sethu, V., Epps, J.

An investigation of annotation delay compensation and output-associative fusion for multi-modal continuous emotion prediction

the 5th International Workshop on Audio/Visual Emotion Challenge, ACM Multimedia, 2015