| 2025 | ICML | Compositional Scene Understanding through Inverse Generative Modeling. | Yanbo Wang, Justin Dauwels, Yilun Du |
| 2024 | ICLR | αTC-VAE: On the relationship between Disentanglement and Diversity. | Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels |
| 2024 | INDIN | Unveiling Hidden Anomalies: A Hybrid Approach for Surface Mounted Electronics. | Amir Ghorbani Ghezeljehmeidan, Willem Dirk van Driel, Justin Dauwels |
| 2023 | ICASSP | Nowcasting of Extreme Precipitation Using Deep Generative Models. | Haoran Bi, Maksym Kyryliuk, Zhiyi Wang, Cristian Meo, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels |
| 2023 | ICASSP | Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data. | Ruben Wijnands, Justin Dauwels, Ines Serra, Pieter Kruizinga, Aleksandra Badura, Borbla Hunyadi |
| 2023 | ICASSP | Automatic Camera Pose Estimation by Key-Point Matching of Reference Objects. | Jinchen Zeng, Rick M. Butler, John van den Dobbelsteen, Benno H. W. Hendriks, Maarten Van der Elst, Justin Dauwels |
| 2023 | ICML | Slot-VAE: Object-Centric Scene Generation with Slot Attention. | Yanbo Wang, Letao Liu, Justin Dauwels |
| 2023 | Interspeech | MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization. | Yi Han Victoria Chua, Hexin Liu, Leibny Paola Garca, Fei Ting Woon, Jinyi Wong, Xiangyu Zhang, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles |
| 2023 | Interspeech | Investigating model performance in language identification: beyond simple error statistics. | Suzy J. Styles, Yi Han Victoria Chua, Fei Ting Woon, Hexin Liu, Leibny Paola Garca, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels |
| 2022 | ICARCV | Challenges in Virtual Testing of Autonomous Vehicles. | Andrea Piazzoni, Roshan Vijay, Jim Cherian, Lyu Chen, Justin Dauwels |
| 2021 | ICIP | R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery. | Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen |
| 2021 | Interspeech | End-to-End Language Diarization for Bilingual Code-Switching Speech. | Hexin Liu, Leibny Paola Garca-Perera, Xinyi Zhang, Justin Dauwels, Andy W. H. Khong, Sanjeev Khudanpur, Suzy J. Styles |
| 2020 | ICASSP | Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization. | Songwei Wu, Hang Yu, Justin Dauwels |
| 2020 | IJCAI | Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. | Andrea Piazzoni, Jim Cherian, Martin Slavk, Justin Dauwels |
| 2020 | IJCNN | Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections. | Rongkai Zhang, Anatolii Prokhorchuk, Justin Dauwels |
| 2019 | ICASSP | Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection. | Songwei Wu, Hang Yu, Justin Dauwels |
| 2019 | LAK | Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now? | Yi Han Victoria Chua, Justin Dauwels, Seng Chee Tan |
| 2019 | VTC | Variational Bayesian Point Set Registration. | Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels |
| 2019 | VTC | Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference. | Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels |
| 2019 | VTC | Experimental Analysis of Pedestrians' Discomfort Zone for Personal Mobility Devices on the Footpath. | Jo-Yu Kuo, Nagacharan Teja Tangirala, Jeyakaran Murugesan, Abrar Sayeed, Yi Han Victoria Chua, Justin Dauwels, Marcel Philipp Mayer |
| 2019 | RO-MAN | Humanoid co-workers: How is it like to work with a robot? | Ajay Vishwanath, Aalind Singh, Yi Han Victoria Chua, Justin Dauwels, Nadia Magnenat-Thalmann |
| 2018 | ACSSC | A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. | Yuvaraj Rajamanickam, John Thomas, Tilmann Kluge, Justin Dauwels |
| 2018 | BMVC | Actor-Action Semantic Segmentation with Region Masks. | Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan |
| 2018 | CW | Prediction of Negative Symptoms of Schizophrenia from Objective Linguistic, Acoustic and Non-verbal Conversational Cues. | Debsubhra Chakraborty, Shihao Xu, Zixu Yang, Yi Han Victoria Chua, Yasir Tahir, Justin Dauwels, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee |
| 2018 | ICARCV | Constrained Model Predictive Control using Kinematic Model of Vehicle Platooning in VISSIM Simulator. | Rongkai Zhang, Anuj Abraham, Soumya Dasgupta, Justin Dauwels |
| 2018 | ICASSP | Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. | Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover |
| 2018 | ICASSP | Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. | Debsubhra Chakraborty, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Magnenat-Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing-Leet Tan, Jimmy Lee |
| 2017 | FUSION | Real-time hierarchical fusion system for semantic segmentation in offroad scenes. | Kang Dang, Michael Hoy, Justin Dauwels, Junsong Yuan |
| 2017 | IECON | Water ingress detection in low-pressure gas pipelines using vibration sensors. | Srivathsan Chakaravarthi Narasimman, Ravula Sugunakar Reddy, Libo Wang, Abhisek Ukil, Justin Dauwels |
| 2017 | MMSP | Assessment and prediction of negative symptoms of schizophrenia from RGB+D movement signals. | Debsubhra Chakraborty, Yasir Tahir, Zixu Yang, Tomasz Maszczyk, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Lee |
| 2017 | SMC | Deep learning-based classification for brain-computer interfaces. | John Thomas, Tomasz Maszczyk, Nishant Sinha, Tilmann Kluge, Justin Dauwels |
| 2016 | ICARCV | Bayesian tracking of multiple objects with vision and radar. | Michael Hoy, Chaoqun Weng, Junsong Yuan, Justin Dauwels |
| 2016 | ICASSP | Fast and efficient rejection of background waveforms in interictal EEG. | Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover |
| 2016 | ICASSP | Epileptiform spike detection via convolutional neural networks. | Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover |
| 2016 | ICASSP | Non-verbal speech analysis of interviews with schizophrenic patients. | Yasir Tahir, Debsubhra Chakraborty, Justin Dauwels, Nadia Magnenat-Thalmann, Daniel Thalmann, Jimmy Lee |
| 2016 | ICASSP | Clustering of interictal spikes by dynamic time warping and affinity propagation. | John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover |
| 2016 | ICCS | An Integrated Simulation Environment for Testing V2X Protocols and Applications. | Apratim Choudhury, Tomasz Maszczyk, Justin Dauwels, Chetan Belagal Math, Hong Li |
| 2016 | IECON | Bayesian detection of leaks in gas distribution networks. | Payal Gupta, Ankit Goyal, Justin Dauwels, Abhisek Ukil |
| 2016 | IECON | Leak detection in gas distribution pipelines using acoustic impact monitoring. | Karkulali Pugalenthi, Himanshu Mishra, Abhisek Ukil, Justin Dauwels |
| 2016 | IECON | FLoGPN: A reputation based scheme for fault localization in gas pipeline network. | Pushpendu Kar, R. Sugunakar Reddy, Payal Gupta, Justin Dauwels, Abhisek Ukil |
| 2016 | IECON | Testbed for real-time monitoring of leak in low pressure gas pipeline. | Himanshu Mishra, Karkulali Pugalenthi, Abhisek Ukil, Justin Dauwels |
| 2016 | ISIT | Variational Bayesian dynamic compressive sensing. | Hongwei Wang, Hang Yu, Michael Hoy, Justin Dauwels, Heping Wang |
| 2016 | ISIT | Latent tree ensemble of pairwise copulas for spatial extremes analysis. | Hang Yu, Junwei Huang, Justin Dauwels |
| 2016 | SMC | EEG hyperscanning study of inter-brain synchrony during cooperative and competitive interaction. | Nishant Sinha, Tomasz Maszczyk, Zhang Wanxuan, Jonathan Tan, Justin Dauwels |
| 2015 | FUSION | Variational inference for graphical models of multivariate piecewise-stationary time series. | Hang Yu, Justin Dauwels |
| 2015 | ICASSP | Automated tracking of cells from phase contrast images by multiple hypothesis Kalman filters. | Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H. Harry Asada |
| 2015 | ICASSP | Variational Bayes learning of multiscale graphical models. | Hang Yu, Justin Dauwels |
| 2015 | ICONIP | Vigilance Differentiation from EEG Complexity Attributes. | Junhua Li, Indu P. Prasad, Justin Dauwels, Nitish V. Thakor, Hasan Al-Nashash |
| 2014 | HRI | Perception of humanoid social mediator in two-person dialogs. | Yasir Tahir, Umer Rasheed, Shoko Dauwels, Justin Dauwels |
| 2014 | ICARCV | Predicting traffic speed in urban transportation subnetworks for multiple horizons. | Justin Dauwels, Aamer Aslam, Muhammad Tayyab Asif, Xinyue Zhao, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet |
| 2014 | ICARCV | Extracting commuting patterns in railway networks through matrix decompositions. | Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet |
| 2014 | ICASSP | Improved compressed sensing radar by fusion with matched filtering. | Justin Dauwels, K. Srinivasan |
| 2014 | ICASSP | Synchrony analysis of paroxysmal gamma waves in meditation EEG. | Jing Jin, Justin Dauwels, Franois B. Vialatte, Andrzej Cichocki |
| 2014 | ICASSP | Sensor fault detection by sparsity optimization. | Bingxuan Li, Hang Yu, Justin Dauwels, Kay Soon Low |
| 2014 | ICASSP | Compressed prediction of large-scale urban traffic. | Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet |
| 2014 | ICASSP | Extreme-value graphical models with multiple covariates. | Hang Yu, Jingjing Cheng, Justin Dauwels |
| 2014 | ICASSP | Network inference and change point detection for piecewise-stationary time series. | Hang Yu, Chenyang Li, Justin Dauwels |
| 2014 | ICASSP | Modeling spatial extremes via ensemble-of-trees of pairwise copulas. | Hang Yu, Wayne Isaac T. Uy, Justin Dauwels |
| 2014 | ICASSP | Non-uniform sampling and Gaussian process regression in transport of intensity phase imaging. | Jingshan Zhong, Rene A. Claus, Justin Dauwels, Lei Tian, Laura Waller |
| 2014 | ISIT | Spatio-temporal graphical models for extreme events. | Hang Yu, Liaofan Zhang, Justin Dauwels |
| 2014 | SMC | Development of optimal stimuli in a heterogeneous model of epileptic spike-wave oscillations. | Nishant Sinha, Peter Neal Taylor, Justin Dauwels, Justin Ruths |
| 2013 | CIBCB | A multimodal approach to analysis of steady state visually evoked potentials. | Nikhil Vij, Wu Zuobin, Malin Bjrnsdotter, Justin Dauwels, Franois-Benot Vialatte |
| 2013 | ICASSP | Low-dimensional models for missing data imputation in road networks. | Muhammad Tayyab Asif, Nikola Mitrovic, Lalit Garg, Justin Dauwels, Patrick Jaillet |
| 2013 | ICASSP | Copula Gaussian graphical model for discrete data. | Justin Dauwels, Hang Yu, Shiyan Xu, Xueou Wang |
| 2013 | ICASSP | Automated detection of paroxysmal gamma waves in meditation EEG. | Manuel A. Vzquez, Jing Jin, Justin Dauwels, Franois B. Vialatte |
| 2012 | FUSION | Clustered subsampling for clinically informed diagnostic brain mapping. | Malin Bjrnsdotter, Diego Sona, Sonny Rosenthal, Justin Dauwels |
| 2012 | FUSION | Modeling extreme events in spatial domain by copula graphical models. | Hang Yu, Zheng Choo, Wayne Isaac T. Uy, Justin Dauwels, Philip Jonathan |
| 2012 | FUSION | Copula Gaussian multiscale graphical models with application to geophysical modeling. | Hang Yu, Justin Dauwels, Xu Zhang, Shiyan Xu, Wayne Isaac T. Uy |
| 2012 | ICASSP | Tensor factorization for missing data imputation in medical questionnaires. | Justin Dauwels, Lalit Garg, Arul Earnest, Khai Pang Leong |
| 2012 | ICASSP | Multi-channel EEG compression based on 3D decompositions. | Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki |
| 2012 | ICASSP | Copula Gaussian graphical models with hidden variables. | Hang Yu, Justin Dauwels, Xueou Wang |
| 2012 | ICASSP | Efficient Gaussian inference algorithms for phase imaging. | Jingshan Zhang, Justin Dauwels, Manuel A. Vzquez, Laura Waller |
| 2012 | ISIT | Modeling spatially-dependent extreme events with Markov random field priors. | Hang Yu, Zheng Choo, Justin Dauwels, Philip Jonathan, Qiao Zhou |
| 2011 | ACSSC | Session MA7b: Multivariate and multimodal analysis of brain signals. | Justin Dauwels, Deniz Erdogmus |
| 2011 | ICASSP | Graphical models for localization of the seizure focus from interictal intracranial EEG. | Justin Dauwels, Emad N. Eskandar, Andy Cole, Daniel B. Hoch, Rodrigo Zepeda, Sydney S. Cash |
| 2011 | ICASSP | Multi-channel EEG compression based on matrix and tensor decompositions. | Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki |
| 2011 | IJCCI | Immersive Neurofeedback - A New Paradigm. | Mohamed Elgendi, Franois B. Vialatte, Martin Constable, Justin Dauwels |
| 2010 | ICASSP | Quantifying EEG synchrony using copulas. | Satish G. Iyengar, Justin Dauwels, Pramod K. Varshney, Andrzej Cichocki |
| 2009 | ISIT | Power-constrained communications using LDLC lattices. | Justin Dauwels, Hans-Andrea Loeliger, Brian M. Kurkoski |
| 2008 | ICASSP | On the synchrony of empirical mode decompositions with application to electroencephalography. | Justin Dauwels, Tomasz M. Rutkowski, Franois B. Vialatte, Andrzej Cichocki |
| 2008 | ICONIP | On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. | Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, Franois B. Vialatte, Andrzej Cichocki |
| 2008 | ICONIP | On Similarity Measures for Spike Trains. | Justin Dauwels, Franois B. Vialatte, Theophane Weber, Andrzej Cichocki |
| 2008 | ICONIP | An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. | Justin Dauwels, Franois B. Vialatte, Theophane Weber, Andrzej Cichocki |
| 2008 | ICONIP | Improved Sparse Bump Modeling for Electrophysiological Data. | Franois B. Vialatte, Justin Dauwels, Jordi Sol i Casals, Monique Maurice, Andrzej Cichocki |
| 2008 | ICONIP | Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz). | Franois B. Vialatte, Monique Maurice, Justin Dauwels, Andrzej Cichocki |
| 2008 | ISIT | Message-passing decoding of lattices using Gaussian mixtures. | Brian M. Kurkoski, Justin Dauwels |
| 2007 | ICASSP | An Algorithm to Improve and Validate Cramer-Rao Bounds Through the Fibre Bundle Theory of Local Exponential Families. | Justin Dauwels |
| 2007 | ICASSP | A Novel Measure for Synchrony and its Application to Neural Signals. | Justin Dauwels, Franois B. Vialatte, Andrzej Cichocki |
| 2007 | ICONIP | A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG. | Justin Dauwels, Franois B. Vialatte, Andrzej Cichocki |
| 2007 | ISIT | On Variational Message Passing on Factor Graphs. | Justin Dauwels |
| 2007 | ISIT | On Convergence Properties of Message-Passing Estimation Algorithms. | Justin Dauwels |
| 2006 | ICASSP | A Numerical Method to Compute Cramer-Rao-Type Bounds for Challenging Estimation Problems. | Justin Dauwels, Sascha Korl |
| 2006 | ISIT | Particle Methods as Message Passing. | Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger |
| 2005 | ISIT | Computing Bayesian Cramer-Rao bounds. | Justin Dauwels |
| 2005 | ISIT | Expectation maximization as message passing. | Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger |
| 2005 | ITW | Steepest descent as message passing. | Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger |
| 2004 | ISIT | Computation of information rates by particle methods. | Justin Dauwels, Hans-Andrea Loeliger |