Chua P., Makris D., Agres K., Roig G., Herremans D..  2022.  Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses. Arxiv preprint.

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Huang J, Chia YKen, Yu S, Yee K, Küster D, Krumhuber EG, Herremans D, Roig G..  2022.  Single Image Video Prediction with Auto-Regressive GANs. Sensors. 22:3533.

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Kwan Y.H., Cheuk K.W., Herremans D..  2022.  Understanding Audio Features via Trainable Basis Functions. Arxiv preprint.

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2204.11437.pdf (7.36 MB)

Sockalingam N., Lo K., n KO., Herremans D., Raghunath N., Cancion H.GC, Kejun H., Leong H., Tan J., Nizharzharudin K. et al..  2022.  A white paper on cyberphysical learning. White paper, Singapore University of Technology and Design.

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LSL_WhitePaper_Cyber-physical-Campus-Higher-Education.pdf (6.98 MB)

Ong J., Herremans D..  2023.  Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning. Expert Systems with Applications. 230(120587)

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2306.13661.pdf (707.95 KB)

Cheuk K.W., Sawata R, Uesaka T, Murata N, Takahashi N, Takahashi S, Herremans D., Mitsufuji Y.  2023.  DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability. ICASSP.

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diffroll.pdf (2.2 MB)

Guo Z, Kang J., Herremans D..  2023.  A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. Proceedings of the 37th AAAI Conference on Artificial Intelligence.

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2212.00973.pdf (1.74 MB)

Melechovsky J., Mehrish A., Herremans D., Sisman B..  2023.  Learning accent representation with multi-level VAE towards controllable speech synthesis. IEEE Spoken Language Technology (SLT) Workshop.

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Koh E., Cheuk K.W., Heung K.Y., Agres K., Herremans D..  2023.  MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information. Sensors - Intelligent Sensors. 23(1)

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sensors-23-00382 (2).pdf (1.21 MB)

Zou Y., Herremans D..  2023.  A Multimodal Model with Twitter Finbert Embeddings for Extreme Price Movement Prediction of Bitcoin. Expert Systems with Applications.

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2206.00648.pdf (3.26 MB)

Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  Accent Conversion in Text-To-Speech Using Multi-Level VAE and Adversarial Training. Proc. of IEEE Tencon, Singapore.

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Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder. Proc. of IEEE Tencon, Singapore.

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Lanzendörfer L.A., Lu T., Perraudin N., Herremans D., Wattenhofer R..  2024.  Coarse-to-Fine Text-to-Music Latent Diffusion. Audio Imagination: NeurIPS 2024 Workshop.

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Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  DART: Disentanglement of Accent and Speaker Representation in Multispeaker Text-to-Speech. Audio Imagination: NeurIPS 2024 Workshop.

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Ong J., Herremans D..  2024.  DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts. arXiv:2406.08742.

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2406.08742v1.pdf (1.06 MB)

Wang K., Herremans D..  2024.  DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage. Proc. of IEEE Tencon, Singapore.

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Chow D., Herremans D..  2024.  Gamification and skills tree. Trends and Foresight Report on Cyber-Physical Learning.

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Melechovsky J., Roy A., Herremans D..  2024.  MidiCaps — A large-scale MIDI dataset with text captions. ISMIR.

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2406.02255v1.pdf (699.83 KB)

Chopra A., Roy A., Herremans D..  2024.  MIRFLEX: Music Information Retrieval Feature Library for Extraction. ISMIR, Late Breaking Demos.

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2411.00469v1.pdf (89.86 KB)

Ong J..  2024.  Modern Portfolio Construction with Advanced Deep Learning Models. SUTD. PhD

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Joel_Ong_Thesis.pdf (3.44 MB)

Melechovsky J, Guo Z, Ghosal D, Majumder N, Herremans D, Poria S.  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.

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2311.08355 (1).pdf (11.38 MB)

Lam P., Zhang H., Chen N.F, Sisman B., Herremans D..  2024.  SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech. Proc. of IEEE Tencon, Singapore.

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2211.07283.pdf (435.22 KB)

Kang J, Poria S, Herremans D..  2024.  Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model. Expert Systems with Applications.

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2311.00968.pdf (5.51 MB)

Melechovsky J..  2025.  Analysis and Synthesis of Audio with AI: from Neurological Disease to Accented Speech and Music.

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thesis_Jan.pdf (26.4 MB)

Kang J., Herremans D..  2025.  Are we there yet? A brief survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges IEEE Transactions on Affective Computing.

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2406.08809v1.pdf (156.19 KB)

Luo J., Yang X., Herremans D..  2025.  BandCondiNet: Parallel Transformers-based Conditional Popular Music Generation with Multi-View Features. Expert Systems with Applications. 130059

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2407.10462v2.pdf (2.6 MB)

Lanzendörfer L.A., Lu T., Perraudin N., Herremans D., Wattenhofer R..  2025.  Coarse-to-Fine Text-to-Music Latent Diffusion. Proceedings of ICASSP.

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Song M., Liu R., Wang X, Jiang Y, Xie P, Huang F, Zhou J, Herremans D., Poria S..  2025.  Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics. arXiv:2510.05137.

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Tripathi A., Patle V., Jain A., Pundir A., Menon S., A. Singh K, Herremans D..  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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Guo R, Herremans D..  2025.  An exploration of controllability in symbolic music infilling. IEEE Access.

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Herremans D., Low K.W..  2025.  Forecasting Bitcoin Volatility Spikes from Whale Transactions and Cryptoquant Data Using Synthesizer Transformer Models. IEEE Access. 13:117788-117807.

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SSRN-id4247684.pdf (5.05 MB)

Tripathi A., A. Singh K, Surya R., Gupta A., Veikho S.L., Herremans D., Bisane S..  2025.  HHNAS-AM: Hierarchical Hybrid Neural Architecture Search using Adaptive Mutation Policies. arXiv:2508.14946.

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Bhandari K., Chang S., Lu T., Enus F.R, Bradshaw L.B, Herremans D., Colton S..  2025.  ImprovNet: Generating Controllable Musical Improvisations with Iterative Corruption Refinement. Proceedings of IJCNN.

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Roy A., Liu R., Lu T., Herremans D..  2025.  JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata. Proceedings of IJCNN, Rome, Italy.

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Le D-V-T, Bigo L., Keller M., Herremans D..  2025.  Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey. ACM Computing Surveys.

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2402.17467.pdf (1.01 MB)

Lam P., Zhang H., Chen N.F, Sisman B., Herremans D..  2025.  PRESENT: Zero-Shot Text-to-Prosody Control. IEEE Signal Processing Letters.

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2408.06827v1.pdf (367.55 KB)

Wei M., Modrzejewski M., Sivaraman A., Herremans D..  2025.  Prevailing Research Areas for Music AI in the Era of Foundation Models.

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Herremans D..  2025.   Royalties in the age of AI: paying artists for AI-generated songs. WIPO Magazine.

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Wickramasinghe S., Das B., Herremans D..  2025.  Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction.

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2512.05402v1.pdf (908 KB)

Chopra A., Roy A., Herremans D..  2025.  SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning. Proceedings of the 6th Conference on AI Music Creativity (AIMC 2025), Brussels, Belgium, September 10th - 12th, 2025.

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Bhandari K., Roy A., Wang K., Puri G., Colton S., Herremans D..  2025.  Text2midi: Generating Symbolic Music from Captions. Proceedings of AAAI, Philadelphia.

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2412.16526v2.pdf (569.51 KB)

Sockalingam N., Lo K., Teo J., Wei C.C., Chow D., Herremans D., Jun M.L.M., Kurniawan O., Wang Y., Leong P.K.  2025.  Towards the future of education: cyber-physical learning. Discover Education. 4:1–16.

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Kang J., Herremans D..  2025.  Towards Unified Music Emotion Recognition across Dimensional and Categorical Models.

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Herremans D., Roy A..  2026.  Aligning Generative Music AI with Human Preferences: Methods and Challenges. Proceedings of AAAI, senior member track.

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2511.15038v1.pdf (417.24 KB)

Husain J.A., Herremans D..  2026.  APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music. arXiv:2605.03395.

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2605.03395v1 (1).pdf (292.45 KB)

Melechovsky J., Novotny M., Tykalova T., Klempir J., Herremans D..  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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Puri G., Socklingam N., Herremans D..  2026.  Digital Lifelong Learning in the Age of AI: Trends and Insights .

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Bhandari K., Roy A., Colton S., Herremans D..  2026.  Emerging AI Technologies for Music: Towards Controllable, Collaborative, and Creative Systems. Proceedings of Machine Learning Research, PMLR 303:1-5, 2026.

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bhandari26a.pdf (161.47 KB)

Kadir N., Herremans D..  2026.  A Functional Taxonomy of Intelligent Systems in Education.

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A. Putri M, Saide S., D. Riau K, Herremans D..  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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Ghosh A., Roy A., Herremans D..  2026.  KARMA-MV: A Benchmark for Causal Question Answering on Music Videos. arXiv:2605.08175.

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2605.08175v1.pdf (3.32 MB)

Liu R., Roy A., Herremans D..  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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Song M., Pala T.D, Jin W., Zadeh A., Li C., Herremans D., Poria S..  2026.  Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions. Proceedings of ICLR.

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Lu T., Geist C-M, Melechovsky J., Roy A., Herremans D..  2026.  MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection. IEEE Tencon.

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Roy A, Liang J, Herremans D.  2026.  nnAudio 2: Overcoming Dynamic Compilation Barriers and Transform Inconsistencies. Conference on AI Music Creativity (AIMC).

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Jiang Z., Yeo S., Herremans D., Perrault S..  2026.  Scaffolded Vulnerability: Chatbot-Mediated Reciprocal Self-Disclosure and Need-Supportive Interaction in Couples. Proceedings of CHI.

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Melechovsky J., Mehrish A., Roy A., Herremans D..  2026.  SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering. Proceedings of ICML.

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2508.03448v2.pdf (3.31 MB)

Roy A., Puri G., Herremans D..  2026.  Text2midi-InferAlign: Improving Symbolic Music Generation with Inference-Time Alignment. ICASSP.

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2505.12669v1.pdf (360.69 KB)

Bhandari K., Chang S., Roy A., Ronchini F., Benetos E., Herremans D., Colton S..  2026.  Text2Score: Generating Sheet Music From Textual Prompts. arXiv:2605.13431.

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2605.13431v1.pdf (395.67 KB)

Wang K, Quek B-K, Goh J, Herremans D.  2026.  To Embody or Not: The Effect Of Embodiment On User Perception Of LLM-based Conversational Agents. IEEE Tencon.

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