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2020 – today
- 2026
[i51]Xueping Zhang, Han Yin, Yang Xiao, Lin Zhang, Ting Dang, Rohan Kumar Das, Ming Li:
ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge Evaluation Plan. CoRR abs/2601.07303 (2026)- [i50]Ting Dang, Soumyajit Chatterjee, Hong Jia, Yu Wu, Flora Salim, Fahim Kawsar:
AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs. CoRR abs/2601.12893 (2026) - [i49]Wenda Zhang, Hongyu Jin, Siyi Wang, Zhiqiang Wei, Ting Dang:
Scaling Ambiguity: Augmenting Human Annotation in Speech Emotion Recognition with Audio-Language Models. CoRR abs/2601.14620 (2026) - [i48]Jiaheng Dong, Hong Jia, Ting Dang:
Test-Time Adaptation for Speech Emotion Recognition. CoRR abs/2601.16240 (2026) - [i47]Feixiang Zheng, Yu Wu, Cecilia Mascolo, Ting Dang:
Rethinking Large Language Models For Irregular Time Series Classification In Critical Care. CoRR abs/2601.16516 (2026) - [i46]Yang Xiao, Eun-Jung Holden, Ting Dang:
Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource Languages. CoRR abs/2602.01008 (2026) - [i45]Siyi Wang, Shihong Tan, Siyi Liu, Hong Jia, Gongping Huang, James Bailey, Ting Dang:
CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering. CoRR abs/2602.03420 (2026) - [i44]Hong Jia, Weibin Li, Jingyao Wu, Xiaofeng Yu, Yan Gao, Jintao Cheng, Xiaoyu Tang, Feng Xia, Ting Dang:
Decoding Ambiguous Emotions with Test-Time Scaling in Audio-Language Models. CoRR abs/2602.03873 (2026) - [i43]Letian Cheng, Junyan Wang, Yan Gao, Elliott Wen, Ting Dang, Hong Jia:
Rethinking Perplexity: Revealing the Impact of Input Length on Perplexity Evaluation in LLMs. CoRR abs/2602.04099 (2026) - [i42]Puyue Wang, Jiawei Hu, Yan Gao, Junyan Wang, Yu Zhang, Gillian Dobbie, Tao Gu, Wafa Johal, Ting Dang, Hong Jia:
HoRD: Robust Humanoid Control via History-Conditioned Reinforcement Learning and Online Distillation. CoRR abs/2602.04412 (2026) - [i41]Xin Wang, Hong Jia, Hualin Zhou, Sheng Guang Wang, Yu Zhang, Ting Dang, Tao Gu:
LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge. CoRR abs/2602.07849 (2026) - [i40]Han Yin, Yang Xiao, Younghoo Kwon, Ting Dang, Jung-Woo Choi:
Focus Then Listen: Exploring Plug-and-Play Audio Enhancer for Noise-Robust Large Audio Language Models. CoRR abs/2603.04862 (2026) - [i39]Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Ting Dang:
The First Environmental Sound Deepfake Detection Challenge: Benchmarking Robustness, Evaluation, and Insights. CoRR abs/2603.04865 (2026) - [i38]Yuanjian Chen, Yang Xiao, Han Yin, Xubo Liu, Jinjie Huang, Ting Dang:
PolyBench: A Benchmark for Compositional Reasoning in Polyphonic Audio. CoRR abs/2603.05128 (2026) - [i37]Yang Xiao, Aso Mahmudi, Nick Thieberger, Eliathamby Ambikairajah, Eun-Jung Holden, Ting Dang:
Continual Adaptation for Pacific Indigenous Speech Recognition. CoRR abs/2603.06310 (2026) - [i36]Xiaofeng Yu, Jiaheng Dong, Jean Honorio, Abhirup Ghosh, Hong Jia, Ting Dang:
Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction. CoRR abs/2603.08230 (2026) - [i35]Xiangyuan Xue, Jiajun Lu, Yan Gao, Gongping Huang, Ting Dang, Hong Jia:
Edge-Cloud Collaborative Speech Emotion Captioning via Token-Level Speculative Decoding in Audio-Language Models. CoRR abs/2603.11397 (2026) - [i34]Sung Kyun Chung, Jiaheng Dong, Qiuchi Hu, Gongping Huang, Hong Jia, Ting Dang:
Localizing and Editing Knowledge in Large Audio-Language Models. CoRR abs/2603.14343 (2026) - [i33]Trevor Adelson, Vidhyasaharan Sethu, Ting Dang:
Beyond Deep Learning: Speech Segmentation and Phone Classification with Neural Assemblies. CoRR abs/2603.16923 (2026) - [i32]Yu Yvonne Wu, Yuwei Zhang, Hyungjun Yoon, Ting Dang, Dimitris Spathis, Tong Xia, Qiang Yang, Jing Han, Dong Ma, Sung-Ju Lee, Cecilia Mascolo:
Wearable Foundation Models Should Go Beyond Static Encoders. CoRR abs/2603.19564 (2026) - [i31]Haoguang Zhou, Siyi Wang, Jingyao Wu, James Bailey, Ting Dang:
Emotion-Aware Quantization for Discrete Speech Representations: An Analysis of Emotion Preservation. CoRR abs/2603.21224 (2026) - 2025
- [j13]Sotirios Vavaroutas
, Ting Dang, Emma Rocheteau, Cecilia Mascolo:
SQUIREDL: Sparse Sequence-to-Sequence Uncertainty Estimation in Evidential Deep Learning. ACM Trans. Comput. Heal. 6(3): 37:1-37:21 (2025) - [j12]Mujie Liu, Mengchu Zhu, Qichao Dong, Ting Dang, Jiangang Ma, Jing Ren, Feng Xia:
Data-Efficient Psychiatric Disorder Detection via Self-Supervised Learning on Frequency-Enhanced Brain Networks. ACM Trans. Comput. Heal. 6(4): 55:1-55:23 (2025) - [j11]Xiaoyu Tang, Jiazheng Huang, Yixin Lin, Ting Dang, Jintao Cheng:
Speech Emotion Recognition via CNN-Transformer and multidimensional attention mechanism. Speech Commun. 171: 103242 (2025) - [c42]Ting Dang, Trini Manoj Jeyaseelan, Eliathamby Ambikairajah, Vidhyasaharan Sethu:
Characterization of Speech Similarity Between Australian Aboriginal and High-Resource Languages: A Case Study on Dharawal. APSIPA 2025: 658-663 - [c41]Yang Xiao, Ting Dang, Rohan Kumar Das:
RawTFNet: A Lightweight CNN Architecture for Speech Anti-Spoofing. APSIPA 2025: 1997-2001 - [c40]Mujie Liu, Chenze Wang, Liping Chen, Nguyen Linh Dan Le, Niharika Tewari, Ting Dang, Jiangang Ma, Feng Xia:
Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-Efficient Psychiatric Diagnosis. AI (2) 2025: 359-372 - [c39]Xijia Wei, Ting Dang, Khaldoon Al-Naimi, Yang Liu, Fahim Kawsar, Alessandro Montanari:
Listening to the Mind: Earable Acoustic Sensing of Cognitive Load. UbiComp Companion 2025: 665-671 - [c38]Hong Jia, Pantea Keikhosrokiani, Soumyajit Chatterjee, Ting Dang:
WellComp 2025: Eighth International Workshop on Computing and Software Systems for Well-Being. UbiComp Companion 2025: 1565-1568 - [c37]Shuning Zhang, Ying Ma, Yongquan 'Owen' Hu, Ting Dang, Hong Jia, Xin Yi, Hewu Li:
From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations. UbiComp Companion 2025: 1597-1604 - [c36]Xin Hong, Yuan Gong, Vidhyasaharan Sethu, Ting Dang:
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models. ICASSP 2025: 1-5 - [c35]Jiatao Quan, Khaldoon Al-Naimi, Xijia Wei, Yang Liu, Fahim Kawsar, Alessandro Montanari, Ting Dang:
Cognitive Load Monitoring via Earable Acoustic Sensing. ICASSP 2025: 1-5 - [c34]Amaan Izhar, Nurul Japar, Norisma Idris, Ting Dang:
MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation. IJCNN 2025: 1-8 - [c33]Eliathamby Ambikairajah, Jingyao Wu, Ting Dang, Vidhyasaharan Sethu:
A Study of Speech Embedding Similarities Between Australian Aboriginal and High-Resource Languages. INTERSPEECH 2025 - [c32]Jule Valendo Halim, Siyi Wang, Hong Jia, Ting Dang:
Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition. INTERSPEECH 2025 - [c31]Jiaming Chen, Lifeng You, Ting Dang, Xiao Liu, Hongtao Zhang:
Self-Supervised rU-net With Spectrum Branch: A Novel Framework for Subject-independent Emotion Recognition based on Peripheral Physiological Signals. SMC 2025: 7226-7232 - [i30]Ting Dang, Yan Gao, Hong Jia:
Scaling Auditory Cognition via Test-Time Compute in Audio Language Models. CoRR abs/2503.23395 (2025) - [i29]Amaan Izhar, Nurul Japar, Norisma Idris, Ting Dang:
MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation. CoRR abs/2504.20343 (2025) - [i28]Jule Valendo Halim, Siyi Wang, Hong Jia, Ting Dang:
Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition. CoRR abs/2505.18484 (2025) - [i27]Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane:
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR abs/2506.02961 (2025) - [i26]Jiaheng Dong, Hong Jia, Soumyajit Chatterjee, Abhirup Ghosh, James Bailey, Ting Dang:
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models. CoRR abs/2506.07078 (2025) - [i25]Hong Jia, Shiya Fu, Feng Xia, Vassilis Kostakos, Ting Dang:
Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding. CoRR abs/2507.08031 (2025) - [i24]Yang Xiao, Ting Dang, Rohan Kumar Das:
RawTFNet: A Lightweight CNN Architecture for Speech Anti-spoofing. CoRR abs/2507.08227 (2025) - [i23]Shuning Zhang, Ying Ma, Yongquan 'Owen' Hu, Ting Dang, Hong Jia, Xin Yi, Hewu Li:
From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations. CoRR abs/2508.00328 (2025) - [i22]Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Ting Dang:
ESDD 2026: Environmental Sound Deepfake Detection Challenge Evaluation Plan. CoRR abs/2508.04529 (2025) - [i21]Yiwen Ye, Yicheng Wu, Xiangde Luo, He Zhang, Ziyang Chen, Ting Dang, Yanning Zhang, Yong Xia:
MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation. CoRR abs/2509.06096 (2025) - [i20]Xin Wang, Ting Dang, Xinyu Zhang, Vassilis Kostakos, Michael J. Witbrock, Hong Jia:
HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring. CoRR abs/2509.07260 (2025) - [i19]Mujie Liu, Chenze Wang, Liping Chen, Nguyen Linh Dan Le, Niharika Tewari, Ting Dang, Jiangang Ma, Feng Xia:
Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis. CoRR abs/2509.09744 (2025) - [i18]Mujie Liu, Mengchu Zhu, Qichao Dong, Ting Dang, Jiangang Ma, Jing Ren, Feng Xia:
Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks. CoRR abs/2509.10524 (2025) - [i17]Shuning Zhang, Hong Jia, Simin Li, Ting Dang, Yongquan 'Owen' Hu, Xin Yi, Hewu Li:
Position: Human-Robot Interaction in Embodied Intelligence Demands a Shift From Static Privacy Controls to Dynamic Learning. CoRR abs/2509.19041 (2025) - [i16]Manh Pham Hung, Changshuo Hu, Ting Dang, Dong Ma:
Device-Guided Music Transfer. CoRR abs/2511.17136 (2025) - [i15]Tianyi Zhang, Xiangyuan Xue, Lingyan Ruan, Shiya Fu, Feng Xia, Simon D'Alfonso, Vassilis Kostakos, Ting Dang, Hong Jia:
Menta: A Small Language Model for On-Device Mental Health Prediction. CoRR abs/2512.02716 (2025) - [i14]Xijia Wei, Ting Dang, Khaldoon Al-Naimi, Yang Liu, Fahim Kawsar, Alessandro Montanari:
Listening to the Mind: Earable Acoustic Sensing of Cognitive Load. CoRR abs/2512.18413 (2025) - [i13]Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Ting Dang:
Environmental Sound Deepfake Detection Challenge: An Overview. CoRR abs/2512.24140 (2025) - 2024
- [j10]Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo:
An evaluation of heart rate monitoring with in-ear microphones under motion. Pervasive Mob. Comput. 100: 101913 (2024) - [j9]Ting Dang, Hong Jia:
Multimodal Large Language Models in Human-Centered Health: Practical Insights. IEEE Pervasive Comput. 23(4): 87-93 (2024) - [j8]Tong Xia, Ting Dang, Jing Han, Lorena Qendro, Cecilia Mascolo:
Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. IEEE J. Biomed. Health Informatics 28(11): 6417-6428 (2024) - [c30]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Emotion Recognition Systems Must Embrace Ambiguity. ACII (Workshops and Demos) 2024: 166-170 - [c29]Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo:
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. CIKM 2024: 2575-2584 - [c28]Yongquan Hu, Shuning Zhang, Ting Dang, Hong Jia, Flora D. Salim, Wen Hu, Aaron J. Quigley:
Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health. UbiComp Companion 2024: 412-417 - [c27]Ting Dang, Shkurta Gashi, Dimitris Spathis, Alexander Hoelzemann:
WellComp 2024: Seventh International Workshop on Computing for Well-Being. UbiComp Companion 2024: 980-983 - [c26]Irtaza Shahid, Khaldoon Al-Naimi, Ting Dang, Yang Liu, Fahim Kawsar, Alessandro Montanari:
Towards Enabling DPOAE Estimation on Single-Speaker Earbuds. ICASSP 2024: 246-250 - [c25]Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed:
Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling. ICASSP 2024: 6495-6499 - [c24]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction. INTERSPEECH 2024 - [c23]Xin Wang, Ting Dang, Vassilis Kostakos, Hong Jia:
Efficient and Personalized Mobile Health Event Prediction via Small Language Models. MobiCom 2024: 2353-2358 - [c22]Hong Jia, Young D. Kwon, Alessio Orsino, Ting Dang, Domenico Talia, Cecilia Mascolo:
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices. NeurIPS 2024 - [c21]Julia Lee Romero, Andrea Ferlini, Dimitris Spathis, Ting Dang, Katayoun Farrahi, Fahim Kawsar, Alessandro Montanari:
OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. HotMobile 2024: 99-106 - [i12]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction. CoRR abs/2407.21344 (2024) - [i11]Yongquan Hu, Shuning Zhang, Ting Dang, Hong Jia, Flora D. Salim, Wen Hu, Aaron J. Quigley:
Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health. CoRR abs/2408.07313 (2024) - [i10]Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed:
A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework. CoRR abs/2409.15357 (2024) - [i9]Xin Hong, Yuan Gong, Vidhyasaharan Sethu, Ting Dang:
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models. CoRR abs/2409.18339 (2024) - [i8]Xin Wang, Ting Dang, Vassilis Kostakos, Hong Jia:
Efficient and Personalized Mobile Health Event Prediction via Small Language Models. CoRR abs/2409.18987 (2024) - [i7]Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo:
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. CoRR abs/2410.10048 (2024) - 2023
- [j7]Berken Utku Demirel, Ting Dang, Khaldoon Al-Naimi, Fahim Kawsar, Alessandro Montanari:
Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 156:1-156:29 (2023) - [j6]Dong Ma, Ting Dang, Ming Ding, Rajesh Balan:
ClearSpeech: Improving Voice Quality of Earbuds Using Both In-Ear and Out-Ear Microphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 170:1-170:25 (2023) - [j5]Buddhi Wickramasinghe, Eliathamby Ambikairajah, Vidhyasaharan Sethu, Julien Epps, Haizhou Li, Ting Dang:
DNN controlled adaptive front-end for replay attack detection systems. Speech Commun. 154: 102973 (2023) - [j4]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information. IEEE Trans. Affect. Comput. 14(3): 2089-2101 (2023) - [c20]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Belief Mismatch Coefficient (BMC): A Novel Interpretable Measure of Prediction Accuracy for Ambiguous Emotion States. ACII 2023: 1-8 - [c19]Shkurta Gashi, Dimitris Spathis, Ting Dang, Alexander Hoelzemann:
WellComp 2023: Sixth International Workshop on Computing for Well-Being. UbiComp/ISWC Adjunct 2023: 791-794 - [c18]Ting Dang, Antoni Dimitriadis, Jingyao Wu, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Constrained Dynamical Neural ODE for Time Series Modelling: A Case Study on Continuous Emotion Prediction. ICASSP 2023: 1-5 - [c17]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
From Interval to Ordinal: A HMM based Approach for Emotion Label Conversion. INTERSPEECH 2023: 1843-1847 - [c16]Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo:
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD 2023: 3914-3925 - [c15]Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo:
hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones. PERCOM 2023: 200-209 - [c14]Changshuo Hu, Xiao Ma, Dong Ma, Ting Dang:
Lightweight and Non-Invasive User Authentication on Earables. HotMobile 2023: 36-41 - [i6]Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed:
Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling. CoRR abs/2309.11983 (2023) - 2022
- [j3]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine 5 (2022) - [c13]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
A Novel Sequential Monte Carlo Framework for Predicting Ambiguous Emotion States. ICASSP 2022: 8567-8571 - [c12]Ting Dang, Thomas Quinnell, Cecilia Mascolo:
Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch. INTERSPEECH 2022: 2468-2472 - [i5]Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR abs/2201.01232 (2022) - 2021
- [j2]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Multimodal Affect Models: An Investigation of Relative Salience of Audio and Visual Cues for Emotion Prediction. Frontiers Comput. Sci. 3: 767767 (2021) - [j1]Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Compensation Techniques for Speaker Variability in Continuous Emotion Prediction. IEEE Trans. Affect. Comput. 12(2): 439-452 (2021) - [c11]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech 2021: 2951-2955 - [c10]Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks 2021 - [i4]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR abs/2104.02005 (2021) - [i3]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR abs/2106.15523 (2021) - [i2]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information. CoRR abs/2108.04605 (2021) - [i1]Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo:
Motion-resilient Heart Rate Monitoring with In-ear Microphones. CoRR abs/2108.09393 (2021)
2010 – 2019
- 2019
- [c9]Deboshree Bose, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Sarith Fernando:
A Novel Bag-of-Optimised-Clusters Front-End for Speech based Continuous Emotion Prediction. ACII 2019: 738-744 - [c8]Anda Ouyang, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Speech Based Emotion Prediction: Can a Linear Model Work? INTERSPEECH 2019: 2813-2817 - 2018
- [b1]Ting Dang:
Speech based Continuous Emotion Prediction: An investigation of Speaker Variability and Emotion Uncertainty. University of New South Wales, Sydney, Australia, 2018 - [c7]Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Dynamic Multi-Rater Gaussian Mixture Regression Incorporating Temporal Dependencies of Emotion Uncertainty Using Kalman Filters. ICASSP 2018: 4929-4933 - [c6]Kalani Wataraka Gamage, Ting Dang, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah:
Speech-based Continuous Emotion Prediction by Learning Perception Responses related to Salient Events: A Study based on Vocal Affect Bursts and Cross-Cultural Affect in AVEC 2018. AVEC@MM 2018: 47-55 - 2017
- [c5]Ting Dang, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah:
An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression. INTERSPEECH 2017: 1248-1252 - [c4]Ting Dang, Brian Stasak, Zhaocheng Huang, Sadari Jayawardena, Mia Atcheson, Munawar Hayat, Phu Ngoc Le, Vidhyasaharan Sethu, Roland Goecke, Julien Epps:
Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017. AVEC@ACM Multimedia 2017: 27-35 - 2016
- [c3]Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Factor Analysis Based Speaker Normalisation for Continuous Emotion Prediction. INTERSPEECH 2016: 913-917 - [c2]Zhaocheng Huang, Brian Stasak, Ting Dang, Kalani Wataraka Gamage, Phu Ngoc Le, Vidhyasaharan Sethu, Julien Epps:
Staircase Regression in OA RVM, Data Selection and Gender Dependency in AVEC 2016. AVEC@ACM Multimedia 2016: 19-26 - 2015
- [c1]Zhaocheng Huang, Ting Dang, Nicholas Cummins, Brian Stasak, Phu Ngoc Le, Vidhyasaharan Sethu, Julien Epps:
An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction. AVEC@ACM Multimedia 2015: 41-48
Coauthor Index
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last updated on 2026-04-19 22:09 CEST by the dblp team
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