Giovanni Chierchia

Contact information

Laboratoire d'Informatique Gaspard Monge
Université Gustave Eiffel
ESIEE Paris

2 boulevard Blaise Pascal
Cité Descartes - BP 99
93162 Noisy-le-Grand, France

Phone: +33 (0)1 45 92 65 03
giovanni (dot) chierchia (at) esiee (dot) fr

Publications

Preprints
P. Gupta, A. Goel, A. Majumdar, E. Chouzenoux, G. Chierchia
DeConFCluster: Deep Convolutional Transform Learning based Multiview Clustering Fusion Framework
Preprint, 2023
Journal Articles
P. Gupta, A. Majumdar, E. Chouzenoux, G. Chierchia
DeConDFFuse : Predicting Drug-Drug Interaction using joint Deep Convolutional Transform Learning and Decision Forest fusion framework
Expert Systems With Applications, To appear, 2023
H. Petric Materic, M. El Gheche, M. Minder, G. Chierchia, and P. Frossard
Wasserstein-based Graph Alignment
IEEE Transactions on Signal and Information Processing over Networks, Vol. 8, pp. 353--363, April 2022
S. Singh, J. Maggu, A. Majumdar, E. Chouzenoux, and G. Chierchia
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring
ACM Transactions on Knowledge Discovery from Data, November 2021.
T. X. Nguyen, G. Chierchia, O. Razim, R. F. Peletier, L. Najman, H. Talbot, B. Perret
Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images
IEEE Access, November 2021.
S. Luo, Y. Shi, L. K. Chin, Y. Zhang, B. Wen, Y. Sun, B. T. T. Nguyen, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang and A.-Q. Liu
Rare bioparticle detection via deep metric learning
RSC Advances, Vol. 11, pp. 17603-17610, May 2021
S. Luo, K. T. Nguyen, B. T. T. Nguyen, S. Feng, Y. Shi, A. Elsayed, Y. Zhang, X. Zhou, B. Wen, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang, A. Q. Liu.
Deep learning‐enabled imaging flow cytometry for high‐speed Cryptosporidium and Giardia detection
Cytometry Part A, February 2021
G. Chierchia, and B. Perret
Ultrametric Fitting by Gradient Descent
Journal of Statistical Mechanics: Theory and Experiment, Vol. 2020, No. 12, December 2020.
S. Luo, Y. Zhang, K.T. Nguyen, S. Feng, Y. Shi, Y. Liu, P. Hutchinson, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang, A.Q. Liu
Machine Learning-Based Pipeline for High Accuracy Bioparticle Sizing
Micromachines, Vol. 11, No. 12, pp. 1080, December 2020
P. Gupta, A. Majumdar, E. Chouzenoux and G. Chierchia
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems
Expert Systems With Applications, To Appear, 2020
M. El Gheche, G. Chierchia, and P. Frossard
OrthoNet: Multilayer Network Data Clustering
IEEE Transactions on Signal and Information Processing over Networks, Vol. 6, No. 1, pp. 13-23, December 2020
J. Maggu, A. Majumdar and E. Chouzenoux and G. Chierchia
Deeply Transformed Subspace Clustering
Signal Processing, vol. 174, pp. 107628, September 2020
P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia
DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework
EURASIP Journal on Advances in Signal Processing, May 2020
B. Perret, G. Chierchia, J. Cousty, S. Guimarães, Y. Kenmochi, L. Najman
Higra: Hierarchical Graph Analysis
SoftwareX, vol. 10, pp. 100335, July-December 2019
L. M. Briceno-Arias, G. Chierchia, E. Chouzenoux, and J.-C. Pesquet
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression
Computational Optimization and Applications, Vol. 72, No. 3, pp. 707-726, April 2019
M. El Gheche, G. Chierchia, and J.-C. Pesquet
Proximity Operators of Discrete Information Divergences
IEEE Transactions on Information Theory, Vol. 64, No. 2, pp. 1092-1104, February 2018
G. Chierchia, M. El Gheche, G. Scarpa, and L. Verdoliva
Multitemporal SAR Image Despeckling based on Block-Matching and Collaborative Filtering
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 10, pp. 5467-5480, October 2017
A. Fiengo, G. Chierchia, M. Cagnazzo, and B. Pesquet-Popescu
Rate Allocation in Predictive Video Coding Using a Convex Optimization Framework
IEEE Transactions on Image Processing, Vol. 26, No. 1, pp. 479-489, January 2017
G. Chierchia, N. Pustelnik, J.-C. Pesquet, and B. Pesquet-Popescu
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems
Signal, Image and Video Processing, Vol. 9, No. 8, pp. 1737-1749, November 2015
G. Chierchia, N. Pustelnik, B. Pesquet-Popescu, and J.-C. Pesquet
A Nonlocal Structure Tensor Based Approach for Multicomponent Image Recovery Problems
IEEE Transactions on Image Processing, Vol. 23, No. 12, pp. 5531-5544, December 2014
G. Chierchia, G. Poggi, C. Sansone, and L. Verdoliva
A Bayesian-MRF Approach for PRNU-based Image Forgery Detection
IEEE Transactions on Information Forensics and Security, Vol. 9, No. 4, pp. 554-567, April 2014
Conferences (recent years)
N. Michel, G. Chierchia, R. Negrel, J.-F. Bercher
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning
AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2024
R. Lapertot, G. Chierchia, B. Perret
Supervised Learning of Hierarchical Image Segmentation
Proceedings of CIARP, Coimbra, Portugal, November 2023
N. Michel, R. Negrel, G. Chierchia, J.-F. Bercher
Domain-Aware Augmentations for Unsupervised Online General Continual Learning
British Machine Vision Conference, Aberdeen, Scotland, November 2023.
H. Petric Materic, M. El Gheche, G. Chierchia, and P. Frossard
fGOT: Graph Distances based on Filters and Optimal Transport
AAAI Conference on Artificial Intelligence, Vancouver, Canada, March 2022
N. Michel, R. Negrel, G. Chierchia, J.-F. Bercher
Contrastive Learning for Online Semi-Supervised General Continual Learning.
Proceedings of ICIP, Bordeaux, France, Octobre 2022.
S. Singh, A. Majumdar, E. Chouzenoux, G. Chierchia
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification.
Proceedings of ICIP, Bordeaux, France, Octobre 2022.
G. Chierchia, M. El Gheche
YAPA: Accelerated Proximal Algorithm for Convex Composite Problems
Proceedings of ICASSP, Toronto, Canada, June 2021.
J. Maggu, A. Majumdar, E. Chouzenoux, G. Chierchia
Deep Convolutional Transform Learning.
Proceedings of ICONIP, Bangkok, Thailand, November 2020.
T. X. Nguyen, G. Chierchia, L. Najman, A. Venhola, C. Haigh, R. Peletier, M. H.F. Wilkinson, H. Talbot, B. Perret
CGO: Multiband Astronomical Source Detection with Component-Graphs
Proceedings of ICIP, Abu Dhabi, UAE, October 2020.
P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux, and G. Chierchia
CONFUSE: Convolutional Transform Learning Fusion Framework For Multi-channel Data Analysis
Proceedings of EUSIPCO, Amsterdam, Netherlands, August 2020.
S. Singh, J. Maggu, A. Majumdar, E. Chouzenoux, and G. Chierchia
Multi-label Consistent Convolutional Transform Learning: Application To Non-intrusive Load Monitoring
Proceedings of ICASSP, Barcelona, Spain, May 2020.
H. Petric Materic, M. El Gheche, G. Chierchia, and P. Frossard
GOT: An Optimal Transport framework for Graph comparison
Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2019.
G. Chierchia, and B. Perret
Ultrametric Fitting by Gradient Descent
Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2019.
S. B. Luo, K. T. Nguyen, X. D. Jiang, J. F. Wu, B. H. Wen, Y. Zhang, G. Chierchia, H. Talbot, T. Bourouina, D. L. Kwong, A. Q. Liu
A High Performance of Single Cell Imaging Detection with Deep Learning
Proceedings of ICIVC, Xiamen, China, July 2019
M. El Gheche, G. Chierchia, and P. Frossard
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint
Proceedings of ICASSP, Brighton, UK, May 2019
J. Maggu, E. Chouzenoux, G. Chierchia, and A. Majumdar
Convolutional Transform Learning
Proceedings of ICONIP, Siem Reap, Cambodia, December 2018
G. Chierchia, D. Cozzolino, G. Poggi, and L. Verdoliva
SAR Image Despeckling Through Convolutional Neural Networks
Proceedings of IGARSS, Forth Worth, TX, USA, July 2017
Technical Reports
G. Chierchia, N. Pustelnik, J.-C. Pesquet, and B. Pesquet-Popescu
A Proximal Approach for Sparse Multiclass SVM
February 2015.
PhD Thesis
G. Chierchia
Epigraphical splitting of convex constraints. Application to image recovery, supervised classification, and image forgery detection.
Ph.D. Thesis, Telecom ParisTech, April 2015

Curriculum Vitae

Resume

  • Since 2015: Assistant Professor (ESIEE Paris)
  • 2015 - 2015: Postdoc Researcher (University of Naples)
  • 2011 - 2015: Ph.D. Student (Telecom ParisTech)
  • 2010 - 2011: Research Engineer (Telecom ParisTech)

Research interests

Funding, Grants, Awards

Teaching

  • Mathematical Optimization
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence

Administration

  • 2016 - 2019: Co-director of "Computer Science and Applications" engineering graduate program (3 years)
  • Since 2021: Co-director of "Data Science and Artificial Intelligence" engineering graduate program (3 years)