Publications
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2023. A Multimodal Model with Twitter Finbert Embeddings for Extreme Price Movement Prediction of Bitcoin. Expert Systems with Applications. 
2206.00648.pdf (3.26 MB)
2206.00648.pdf (3.26 MB).
2026. Formalizing Semi-Structured Interviews for Design Requirement Discovery: A Multi-Agent Framework for Clarification and Empathic Interaction. Available at SSRN 7199726.
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2025. Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction. 2512.05402v1.pdf (908 KB)
2512.05402v1.pdf (908 KB).
2026. Prevailing Research Areas for Music AI in the Era of Foundation Models. PMLR 303:1-23.
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2024. DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage. Proc. of IEEE Tencon, Singapore.
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2026. To Embody or Not: The Effect Of Embodiment On User Perception Of LLM-based Conversational Agents. IEEE Tencon.
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2021. Evaluating the Effectiveness of an Augmented Reality Game Promoting Environmental Action. Sustainability. 13(24):13912. sustainability-13-13912.pdf (16.23 MB)
sustainability-13-13912.pdf (16.23 MB).
2022. HEAR 2021: Holistic Evaluation of Audio Representations. Proceedings of Machine Learning Research (PMLR): NeurIPS 2021 Competition Track. 2203.03022.pdf (406.58 KB)
2203.03022.pdf (406.58 KB).
2025. HHNAS-AM: Hierarchical Hybrid Neural Architecture Search using Adaptive Mutation Policies. arXiv:2508.14946.
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2025. End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation. Proceedings of IJCNN, Rome, Italy.
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2020. Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling. ISMIR. 2007.15474.pdf (2.67 MB)
2007.15474.pdf (2.67 MB).
2020. Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance. Workshop on Machine Learning for Music Discover (ML4MD) as part of ICML. 2006.09833.pdf (2.81 MB)
2006.09833.pdf (2.81 MB).
2021. Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds. Sensors. 21(16):5555. 2106.12174.pdf (6.52 MB)
2106.12174.pdf (6.52 MB).
2019. Machine Learning Research that Matters for Music Creation: A Case Study. Journal of New Music Research. 48(1):36-55. concert_paper_preprint.pdf (1.6 MB)
concert_paper_preprint.pdf (1.6 MB).
2026. Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions. Proceedings of ICLR.
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2025. Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics. arXiv:2510.05137.
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2018. A Novel Interface for the Graphical Analysis of Music Practice Behaviours. Frontiers in Psychology - Human-Media Interaction. 9 practice_browser.pdf (4.9 MB)
practice_browser.pdf (4.9 MB).
2025. Towards the future of education: cyber-physical learning. Discover Education. 4:1–16.
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2022. A white paper on cyberphysical learning. White paper, Singapore University of Technology and Design. LSL_WhitePaper_Cyber-physical-Campus-Higher-Education.pdf (6.98 MB)
LSL_WhitePaper_Cyber-physical-Campus-Higher-Education.pdf (6.98 MB).
2026. When Drawing Is Not Enough: Exploring Spontaneous Speech with Sketch for Intent Alignment in Multimodal LLMs. Companion Publication of the 2026 ACM Designing Interactive Systems Conference.
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2026. AI and Music at a Crossroads: The Role of the Music Information Retrieval (MIR) Community in Shaping Trustworthy, Open, and Culturally Inclusive Music‑AI. Transactions of the International Society for Music Information Retrieval.
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2025. JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata. Proceedings of IJCNN, Rome, Italy.
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2026. Text2midi-InferAlign: Improving Symbolic Music Generation with Inference-Time Alignment. ICASSP. 2505.12669v1.pdf (360.69 KB)
2505.12669v1.pdf (360.69 KB).
2026. nnAudio 2: Overcoming Dynamic Compilation Barriers and Transform Inconsistencies. Conference on AI Music Creativity (AIMC).
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2026. Generative AI in Education for SDG 4: Insights from Indonesia and Kazakhstan. Proceedings of the Pacific Asia Conference on Information Systems (PACIS)..
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2021. AttendAffectNet – Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-attention. Sensors. Special issue on Intelligent Sensors: Sensor Based Multi-Modal Emotion Recognition. sensors-21-08356.pdf (1.03 MB)
sensors-21-08356.pdf (1.03 MB).
2021. AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. Proceedings of the International Conference on Pattern Recognition (ICPR2020). 2010.11188.pdf (7.07 MB)
2010.11188.pdf (7.07 MB).
2019. Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. The 2nd International Workshop on Computer Vision for Physiological Measurement as part of ICCV. Seoul, South Korea. 2019. 1909.06957.pdf (836.3 KB)
1909.06957.pdf (836.3 KB).
2022. EmoMV: Affective Music-Video Correspondence Learning Datasets for Classification and Retrieval. Information Fusion. SSRN-id4189323.pdf (2.01 MB)
SSRN-id4189323.pdf (2.01 MB).
2020. Data-driven 3D Scene Understanding. PhD
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2024. DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts. arXiv:2406.08742. 2406.08742v1.pdf (1.06 MB)
2406.08742v1.pdf (1.06 MB).
2024. Modern Portfolio Construction with Advanced Deep Learning Models. SUTD. PhD Joel_Ong_Thesis.pdf (3.44 MB)
Joel_Ong_Thesis.pdf (3.44 MB).
2023. Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning. Expert Systems with Applications. 230(120587) 2306.13661.pdf (707.95 KB)
2306.13661.pdf (707.95 KB).
2020. A dataset and classification model for Malay, Hindi, Tamil and Chinese music. 13th Workshop on music and machine learning (MML) as part of ECML/PKDD. 2009.04459.pdf (234.8 KB)
2009.04459.pdf (234.8 KB).
2024. DART: Disentanglement of Accent and Speaker Representation in Multispeaker Text-to-Speech. Audio Imagination: NeurIPS 2024 Workshop.
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2026. SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering. Proceedings of ICML. 2508.03448v2.pdf (3.31 MB)
2508.03448v2.pdf (3.31 MB).
2024. Accent Conversion in Text-To-Speech Using Multi-Level VAE and Adversarial Training. Proc. of IEEE Tencon, Singapore.
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2024. Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder. Proc. of IEEE Tencon, Singapore.
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2026. Development of Interpretable Deep Learning-based Segmentation Algorithm for Automated Assessment of Oral Diadochokinesis in Progressive Neurological Diseases. Journal of Speech, Language, and Hearing Research.
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2024. MidiCaps — A large-scale MIDI dataset with text captions. ISMIR. 2406.02255v1.pdf (699.83 KB)
2406.02255v1.pdf (699.83 KB).
2023. Learning accent representation with multi-level VAE towards controllable speech synthesis. IEEE Spoken Language Technology (SLT) Workshop.
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2025. Analysis and Synthesis of Audio with AI: from Neurological Disease to Accented Speech and Music. thesis_Jan.pdf (26.4 MB)
thesis_Jan.pdf (26.4 MB).
2024. Mustango: Toward Controllable Text-to-Music Generation. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). pages 8293–8316. 2311.08355 (1).pdf (11.38 MB)
2311.08355 (1).pdf (11.38 MB).
2021. Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. Proceedings of the International Joint Conference on Neural Networks (IJCNN). 2104.13056.pdf (857.78 KB)
2104.13056.pdf (857.78 KB).
2022. Conditional Drums Generation using Compound Word Representations. EvoMUSART (EVO*) - Lecture Notes in Computer Science. 2202.04464.pdf (525.36 KB)
2202.04464.pdf (525.36 KB).
2020. Unsupervised disentanglement of pitch and timbre for isolated musical instrument sounds. Proceedings of the International Society of Music Information Retrieval (ISMIR).
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2020. Singing voice conversion with disentangled representations of singer and vocal technique using variational autoencoders. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 1912.02613.pdf (2.9 MB)
1912.02613.pdf (2.9 MB).
2025. BandCondiNet: Parallel Transformers-based Conditional Popular Music Generation with Multi-View Features. Expert Systems with Applications. 130059 2407.10462v2.pdf (2.6 MB)
2407.10462v2.pdf (2.6 MB).
2019. Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. ISMIR. jyun-ismir.pdf (5.62 MB)
jyun-ismir.pdf (5.62 MB).
2026. MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection. IEEE Tencon.
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2026. JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment. Empirical Methods in Natural Language Processing (EMNLP).
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2026. Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction. Conference on AI Music Creativity (AIMC).
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2018. Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. Neural Computing and Applications. main.pdf (2.59 MB)
main.pdf (2.59 MB).
2022. Downscaling using Deep Convolutional Autoencoders, a case study for South East Asia. Egusphere preprint. egusphere-2022-234.pdf (8.99 MB)
egusphere-2022-234.pdf (8.99 MB).
2019. Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. 16th IEEE Asia Pacific Wireless Communications Symposium (APWCS). 1909.02850.pdf (790.54 KB)
1909.02850.pdf (790.54 KB).
2019. A Hybrid Fuzzy Logic-Neural Network Approach For Multi-path Separation Of Underwater Acoustic Signals. 89th IEEE Vehicular Technology Conference. fuzzy logic.pdf (1.66 MB)
fuzzy logic.pdf (1.66 MB).
2021. Underwater Acoustic Communication Receiver Using Deep Belief Network. IEEE Transactions on Communications. :1-1. 2102.13397.pdf (12.87 MB)
2102.13397.pdf (12.87 MB).
2025. Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey. ACM Computing Surveys. 2402.17467.pdf (1.01 MB)
2402.17467.pdf (1.01 MB).
2024. Coarse-to-Fine Text-to-Music Latent Diffusion. Audio Imagination: NeurIPS 2024 Workshop.
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2025. Coarse-to-Fine Text-to-Music Latent Diffusion. Proceedings of ICASSP.
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2024. SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech. Proc. of IEEE Tencon, Singapore. 2211.07283.pdf (435.22 KB)
2211.07283.pdf (435.22 KB).
2025. PRESENT: Zero-Shot Text-to-Prosody Control. IEEE Signal Processing Letters. 2408.06827v1.pdf (367.55 KB)
2408.06827v1.pdf (367.55 KB).
2022. Understanding Audio Features via Trainable Basis Functions. Arxiv preprint. 2204.11437.pdf (7.36 MB)
2204.11437.pdf (7.36 MB).
2021. Musical stylometry: Characterisation of music. Multivariate Humanities.
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2023. MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information. Sensors - Intelligent Sensors. 23(1) sensors-23-00382 (2).pdf (1.21 MB)
sensors-23-00382 (2).pdf (1.21 MB).
2025. Are we there yet? A brief survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges IEEE Transactions on Affective Computing. 2406.08809v1.pdf (156.19 KB)
2406.08809v1.pdf (156.19 KB).
2024. Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model. Expert Systems with Applications. 2311.00968.pdf (5.51 MB)
2311.00968.pdf (5.51 MB).
2026. Towards Unified Music Emotion Recognition across Dimensional and Categorical Models. Proceedings of the International Conference on Pattern Recognition (ICPR).
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2022. A Machine Learning Approach for MIDI to Guitar Tablature Conversion. Sound and Music Computing Conference (SMC). 25.pdf (528.42 KB)
25.pdf (528.42 KB).
2026. PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference. 19th International Natural Language Generation Conference (INLG).
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2026. Scaffolded Vulnerability: Chatbot-Mediated Reciprocal Self-Disclosure and Need-Supportive Interaction in Couples. Proceedings of CHI.
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2026. APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music. arXiv:2605.03395. 2605.03395v1 (1).pdf (292.45 KB)
2605.03395v1 (1).pdf (292.45 KB).
2026. Action- and World Model-based Rewards Improve Vision-Language-Action Model Post-Training. NeurIPS workshop: Robot Learning with World Models: Capabilities, Frontiers, and Challenges.
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2022. Single Image Video Prediction with Auto-Regressive GANs. Sensors. 22:3533.
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2016. MorpheuS: constraining structure in automatic music generation. Dagstuhl seminar on Computational Music Structure Analysis. abstract_dagstuhl_dh.pdf (88.49 KB)
abstract_dagstuhl_dh.pdf (88.49 KB).
2014. First species counterpoint generation with VNS and vertical viewpoints. Annual Conference of the Belgian Operation Research Society (ORBEL28). orbel28_dh.pdf (216.63 KB)
orbel28_dh.pdf (216.63 KB).
2017. IMMA-Emo: A Multimodal Interface for Visualising Score- and Audio-synchronised Emotion Annotations. Audio Mostly. IMMA-emo_preprint.pdf (1.4 MB)
IMMA-emo_preprint.pdf (1.4 MB).
2012. Composing counterpoint musical scores with variable neighborhood search. Annual Conference of the Belgian Operation Research Society (ORBEL26). orbel26abs_vnsforcp.pdf (116.85 KB)
orbel26abs_vnsforcp.pdf (116.85 KB).
2015. Composer Classification Models for Music-Theory Building. Computational Music Analysis. Chapter_HerremansEtAl_preprint.pdf (475.26 KB)
Chapter_HerremansEtAl_preprint.pdf (475.26 KB).
2014. Sampling the extrema from statistical models of music with variable neighbourhood search. ICMC/SMC. icmc_dh.pdf (1.07 MB)
icmc_dh.pdf (1.07 MB).
2017. Hit Song Prediction Based on Early Adopter Data and Audio Features. The 18th International Society for Music Information Retrieval Conference (ISMIR) - Late Breaking Demo. paper_preprint_hit.pdf (221.73 KB)
paper_preprint_hit.pdf (221.73 KB).
2021. aiSTROM - A roadmap for developing a successful AI strategy. IEEE Access.
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2016. Tension ribbons: Quantifying and visualising tonal tension. Second International Conference on Technologies for Music Notation and Representation (TENOR). 2:8-18. paper_tenor_dh_preprint_small.pdf (1.67 MB)
paper_tenor_dh_preprint_small.pdf (1.67 MB).
2019. Towards emotion based music generation: A tonal tension model based on the spiral array. Proceedings of Cognitive Science (CogSci). CogSci_tension (1).pdf (610.91 KB)
CogSci_tension (1).pdf (610.91 KB).
2019. The emergence of deep learning: new opportunities for music and audio technologies. Neural Computing and Applications. main_preprint.pdf (102.16 KB)
main_preprint.pdf (102.16 KB).
2014. Dance hit song prediction. Journal of New music Research. 43:302. wp_hit.pdf (689.07 KB)
wp_hit.pdf (689.07 KB).
2017. Modeling Musical Context with Word2vec. First International Workshop On Deep Learning and Music. 1:11-18. herremans2017work2vec.pdf (745.8 KB)
herremans2017work2vec.pdf (745.8 KB).
2013. FuX, an Android app that generates counterpoint. IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC). :48-55. wp_fux.pdf (486.27 KB)
wp_fux.pdf (486.27 KB).
2018. O.R. and music generation. OR/MS Today. 45(1) O.R. and music generation - INFORMS.pdf (825.66 KB)
O.R. and music generation - INFORMS.pdf (825.66 KB).
2014. Markov Based Quality Metrics For Generating Structured Music With Optimization Techniques. Digital Music Research Network (DMNR+9). dmrn9_dh.pdf (133.29 KB)
dmrn9_dh.pdf (133.29 KB).
2011. A Variable Neighborhood Search Algorithm for Composing First Species Counterpoint Musical Fragments. 2011017 wp_cp1.pdf (775.91 KB)
wp_cp1.pdf (775.91 KB).
2005. Tabu Search voor de optimalisatie van muzikale fragmenten. Faculty of Applied Economics. MSc Business Engineer Management Information Systems Thesis.pdf (1.25 MB)
Thesis.pdf (1.25 MB).
2014. Compose=Compute - Computer Generation And Classification Of Music Through Operations Research Methods. PhD Thesis, University of Antwerp. :250.
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2013. First species counterpoint generation with VNS and vertical viewpoints. Digital Music Research Network (DMNR+8). dnmr8_dh_dc.pdf (147.73 KB)
dnmr8_dh_dc.pdf (147.73 KB).
2015. Generating structured music for bagana using quality metrics based on Markov models. Expert Systems With Applications. 42 (21)(21):424–7435. paper-bagana.pdf (1.73 MB)
paper-bagana.pdf (1.73 MB)