Publications
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning
Ong, J., and Herremans, D, Expert Systems with Applications, In Press, https://doi.org/10.1016/j.eswa.2023.120587
Learning accent representation with multi-level VAE towards controllable speech synthesis
J. Melechovsky, A. Mehrish, D. Herremans, B. Sisman, IEEE Spoken Language Technology (SLT) Workshop, Doha, Quatar
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling
N. Guo, J. Kong, D. Herremans, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington DC
MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information
Koh, E.Y.; Cheuk, K.W.; Heung, K.Y.; Agres, K.R.; Herremans, D. Sensors 2023, 23, 382
How Do We Want to Interact with Robotic Environments? User Preferences for Embodied Interactions, from Pushbuttons to AI
Yixiao Wang and Keith Evan Green, A Book Chapter in “Springer Series in Adaptive Environments” (SSAE), accepted
Computationally Efficient Physics Approximating Neural Networks for Highly Nonlinear Maps
Christopher Johann Clarke, Jatin Chowdhury, Balamurali B T, Prachee Priyadarshinee, Cindy Ming Ying Lim, Ivan Fu Xing Tan, Dorien Herremans and Jer Ming Chen, Proc. of the 2022 International Conference on Research in Adaptive and Convergent Systems (RACS)
EmoMV: Affective Music-Video Correspondence Learning Datasets for Classification and Retrieval
Pham Q-H, Herremans D., Roig G., Information Fusion
Pedestrian Liveness Detection Based on mmWave Radar and Camera Fusion
Hao Li, Ruofeng Liu, Shuai Wang, Wenchao Jiang, and Chris Xiaoxuan Lu, Proceedings of the 2022 IEEE International Conference on Sensing, Communication, and Networking (SECON’22)
VisBLE: Vision-Enhanced BLE Device Tracking
Wenchao Jiang, Feng Li, Luoyu Mei, Ruofeng Liu, and Shuai Wang, Proceedings of the 2022 IEEE International Conference on Sensing, Communication, and Networking (SECON’22).
REACT: A Heterogeneous Reconfigurable Neural Network Accelerator with Software-Configurable NoCs for Training and Inference on wearables
Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh, Design Automation Conference, 2022 (accepted)