Click here for this list in IEEE format.

Journal Publications

2020

“Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors”, in IEEE Internet of Things Journal

“Multimodal Deep Unfolding for Guided Image Super-Resolution”, in IEEE Transactions on Image Processing

2019

“Deep coupled-representation learning for sparse linear inverse problems with side information”, in IEEE Signal Processing Letters

2018

“Learning Discrete Matrix Factorization Models”, in IEEE Signal Processing Letters

2017

“A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods”, in ISPRS International Journal of Geo-Information

Conference Publications

2020

“Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers”, in 28th European Signal Processing Conference

“Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors”, in IEEE International Conference on Image Processing

2019

“Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference”, in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing

“Learned multimodal convolutional sparse coding for guided image super-resolution”, in IEEE International Conference on Image Processing (ICIP) 2019

“Multimodal image super-resolution via deep unfolding with side Information”, in European Signal Processing Conference (EUSIPCO) 2019

“Context-based analysis of urban air quality using an opportunistic mobile sensor network”, in EAI International Conference on Sensor Systems and Software - S-CUBE 2019

2018

“Deep learning sparse ternary projections for compressed sensing of images”, in IEEE Global Conference on Signal and Information Processing

“Extendable Neural Matrix Completion”, in IEEE International Conference on Acoustics, Speech and Signal Processing

“Twitter User Geolocation using Deep Multiview Learning”, in IEEE International Conference on Acoustics, Speech and Signal Processing

“Data aggregation and recovery for the internet of things: A compressive demixing approach”, in 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018

“Regularizing autoencoder-based matrix completion models via manifold learning”, in 2018 26th European Signal Processing Conference, EUSIPCO 2018

2017

“A framework for learning affine transformations for multimodal sparse reconstruction”, in SPIE Wavelets and Sparsity XVII