| 2026 | ACL | Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource Languages. | Yang Xiao, Eun-Jung Holden, Ting Dang |
| 2026 | Mobisys | Multi-Task Mental Health Detection with Large Language Models under Class Imbalance. | Xiangyuan Xue, Tianyi Zhang, Vassilis Kostakos, Ting Dang, Hong Jia |
| 2026 | SENSYS | From Cheap to Chic: Enhancing Music Playback Quality of Budget Earphones via Hardware-Aware Learning. | Changshuo Hu, Hung Manh Pham, Ting Dang, Jiannan Li, Rajesh Balan, Dong Ma |
| 2026 | SENSYS | Poster Abstract: Turning Budget Earphones Into Hi-Fi with Hardware-Aware Learning. | Changshuo Hu, Hung Manh Pham, Ting Dang, Jiannan Li, Rajesh Balan, Dong Ma |
| 2025 | ICASSP | AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models. | Xin Hong, Yuan Gong, Vidhyasaharan Sethu, Ting Dang |
| 2025 | ICASSP | Cognitive Load Monitoring via Earable Acoustic Sensing. | Jiatao Quan, Khaldoon Al-Naimi, Xijia Wei, Yang Liu, Fahim Kawsar, Alessandro Montanari, Ting Dang |
| 2025 | IJCNN | MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation. | Amaan Izhar, Nurul Japar, Norisma Idris, Ting Dang |
| 2025 | Interspeech | A Study of Speech Embedding Similarities Between Australian Aboriginal and High-Resource Languages. | Eliathamby Ambikairajah, Jingyao Wu, Ting Dang, Vidhyasaharan Sethu |
| 2025 | Interspeech | Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition. | Jule Valendo Halim, Siyi Wang, Hong Jia, Ting Dang |
| 2025 | SMC | Self-Supervised rU-net With Spectrum Branch: A Novel Framework for Subject-independent Emotion Recognition based on Peripheral Physiological Signals. | Jiaming Chen, Lifeng You, Ting Dang, Xiao Liu, Hongtao Zhang |
| 2024 | ACII | Emotion Recognition Systems Must Embrace Ambiguity. | Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah |
| 2024 | CIKM | Untitled record | Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo |
| 2024 | HIC | WellComp 2024: Seventh International Workshop on Computing for Well-Being. | Ting Dang, Shkurta Gashi, Dimitris Spathis, Alexander Hoelzemann |
| 2024 | HIC | Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health. | Yongquan Hu, Shuning Zhang, Ting Dang, Hong Jia, Flora D. Salim, Wen Hu, Aaron J. Quigley |
| 2024 | ICASSP | Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling. | Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed |
| 2024 | ICASSP | Towards Enabling DPOAE Estimation on Single-Speaker Earbuds. | Irtaza Shahid, Khaldoon Al-Naimi, Ting Dang, Yang Liu, Fahim Kawsar, Alessandro Montanari |
| 2024 | Interspeech | Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction. | Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah |
| 2024 | MOBICOM | Efficient and Personalized Mobile Health Event Prediction via Small Language Models. | Xin Wang, Ting Dang, Vassilis Kostakos, Hong Jia |
| 2023 | ACII | Belief Mismatch Coefficient (BMC): A Novel Interpretable Measure of Prediction Accuracy for Ambiguous Emotion States. | Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah |
| 2023 | ICASSP | Constrained Dynamical Neural ODE for Time Series Modelling: A Case Study on Continuous Emotion Prediction. | Ting Dang, Antoni Dimitriadis, Jingyao Wu, Vidhyasaharan Sethu, Eliathamby Ambikairajah |
| 2023 | Interspeech | From Interval to Ordinal: A HMM based Approach for Emotion Label Conversion. | Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah |
| 2023 | KDD | Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. | Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chlo Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo |
| 2023 | PERCOM | hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones. | Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo |
| 2022 | ICASSP | A Novel Sequential Monte Carlo Framework for Predicting Ambiguous Emotion States. | Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah |
| 2022 | Interspeech | Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch. | Ting Dang, Thomas Quinnell, Cecilia Mascolo |
| 2021 | Interspeech | Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. | Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo |
| 2019 | ACII | A Novel Bag-of-Optimised-Clusters Front-End for Speech based Continuous Emotion Prediction. | Deboshree Bose, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Sarith Fernando |
| 2019 | Interspeech | Speech Based Emotion Prediction: Can a Linear Model Work? | Anda Ouyang, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah |
| 2018 | ICASSP | Dynamic Multi-Rater Gaussian Mixture Regression Incorporating Temporal Dependencies of Emotion Uncertainty Using Kalman Filters. | Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah |
| 2017 | Interspeech | An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression. | Ting Dang, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah |
| 2016 | Interspeech | Factor Analysis Based Speaker Normalisation for Continuous Emotion Prediction. | Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah |