Alex Jung
Associate Professor
Associate Professor
T313 Dept. Computer Science
Helsinki Institute for Information Technology (HIIT)
Professor (Associate Professor)
Professorship Jung Alexander
I'm interested in the questions of when and how machine learning is possible for a given application.
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+358504657070
Osaamisalueet
Machine Learning, machine learning, statistical learning theory, Information theory, statistics, Probability theory, convex optimization, distributed algorithms, network science, Explainable AI, 213 Electronic, automation and communications engineering, electronics, 112 Statistics and probability, 1 Natural sciences, 111 Mathematics, Computational data analysis, Statistics, Applied mathematics
Palkinnot
Amazon Machine Learning Research Award
Award or honor granted for a specific work
Professorship Jung Alexander
Jan 2018
Promotio Sub Auspiciis Res Publicae
highest academic distinction in Austria
Award or honor granted for academic or artistic career
Professorship Jung Alexander
Jun 2012
Best Student Paper Award
Award or honor granted for a specific work
Professorship Jung Alexander
May 2011
Tutkimusryhmät
- Helsinki Institute for Information Technology (HIIT)
- Computer Science Professors, Professor (Associate Professor)
- Computer Science - Artificial Intelligence and Machine Learning (AIML), Professor (Associate Professor)
- Computer Science - Large-scale Computing and Data Analysis (LSCA), Professor (Associate Professor)
- Professorship Jung Alexander, Professor (Associate Professor)
Julkaisut
Analysis of Total Variation Minimization for Clustered Federated Learning
Alexander Jung
2024
32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings
Maschinelles Lernen: Die Grundlagen
Alex Jung
2024
The Aalto Dictionary of Machine Learning
Alex Jung
2024
Engineering Trustworthy AI : A Developer Guide for Empirical Risk Minimization
Diana Pfau, Alex Jung
2024
From intangible to tangible : The role of big data and machine learning in walkability studies
Jun Yang, Pia Fricker, Alexander Jung
2024
Computers, Environment and Urban Systems
Explainable empirical risk minimization
Linli Zhang, Georgios Karakasidis, Arina Odnoblyudova, Leyla Dogruel, Yu Tian, Alex Jung
2024
Neural Computing and Applications
Hercules
Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro Frangi, U. Rajendra Acharya, Abbas Khosravi, H. K. Lam, Alexander Jung, Saeid Nahavandi
2023
IEEE Transactions on Industrial Informatics
A perspective on the enabling technologies of explainable AI-based industrial packetized energy management
Daniel Gutierrez-Rojas, Arun Narayanan, Cássia R. Santos Nunes Almeida, Gustavo M. Almeida, Diana Pfau, Yu Tian, Xu Yang, Alex Jung, Pedro H.J. Nardelli
2023
iScience
Towards Model-Agnostic Federated Learning over Networks
A. Jung, S. Abdurakhmanova, O. Kuznetsova, Y. Sarcheshmehpour
2023
31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization
Reza Mirzaeifard, Naveen K.D. Venkategowda, Alexander Jung, Stefan Werner
2023
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023
Clustered Federated Learning via Generalized Total Variation Minimization
Yasmin SarcheshmehPour, Yu Tian, Linli Zhang, Alexander Jung
2023
IEEE Transactions on Signal Processing
Design of Induction Machines using Reinforcement Learning
Yasmin SarcheshmehPour, Tommi Ryyppo, Victor Mukherjee, Alex Jung
2023
arXiv.org
Wind to start the dishwasher? High-Resolution Wind Atlas for Finland
Yu Tian, Xu Yang, Irene Schicker, Alexander Jung
2023
Wind to start the washing machine? High-Resolution Wind Atlas for Finland
X. Yang, Y. Tian, I. Schicker, A. Jung
2023
arXiv.org
Machine Learning
Alex Jung
2022
Dynamic Sparse Subspace Clustering for Evolving High-Dimensional Data Streams
Jinping Sui, Zhen Liu, Li Liu, Alex Jung, Xiang Li
2022
IEEE Transactions on Cybernetics
From Intuition to Reasoning
Jun Yang, Pia Fricker, Alexander Jung
2022
Journal of Digital Landscape Architecture
Containing Future Epidemics With Trustworthy Federated Systems for Ubiquitous Warning and Response
Dick Carrillo, Duc Lam Nguyen, Pedro Henrique Juliano Nardelli, Evangelos Pournaras, Plinio Morita, Demóstenes Z. Rodriguez, Merim Dzaferagic, Harun Siljak, Alex Jung, Laurent Hébert-Dufresne, Irene Macaluso, Mehar Ullah, Gustavo Fraidenraich, Petar Popovski
2021
Frontiers in Communications and Networks
Corrigendum : Containing Future Epidemics With Trustworthy Federated Systems for Ubiquitous Warning and Response (Frontiers in Communications and Networks, (2021), 2, (621264), 10.3389/frcmn.2021.621264)
Dick Carrillo, Lam Duc Nguyen, Pedro H.J. Nardelli, Evangelos Pournaras, Plinio Morita, Demóstenes Z. Rodríguez, Merim Dzaferagic, Harun Siljak, Alexander Jung, Laurent Hébert-Dufresne, Irene Macaluso, Mehar Ullah, Gustavo Fraidenraich, Petar Popovski
2021
Frontiers in Communications and Networks
Target Tracking on Sensing Surface with Electrical Impedance Tomography
Timo Huuhtanen, Antti Lankinen, Alex Jung
2021
28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings
Local Graph Clustering with Network Lasso
Alexander Jung, Yasmin Sarcheshmehpour
2021
IEEE Signal Processing Letters
Containing Future Epidemics With Trustworthy Federated Systems for Ubiquitous Warning and Response
Dick Carrillo Melgarejo, Duc-Lam Nguyen, Pedro Nardelli, Evangelos Pournaras, Plinio P. Morita, Demostenes Zegarra Rodriguez, Merim Dzaferagic, Harun Šiljak, Alexander Jung, Laurent Hébert-Dufresne, Irene Macaluso, Mehar Ullah, Gustavo Fraidenraich, Petar Popovski
2021
Federated learning from big data over networks
Y. Sarcheshmehpour, M. Leinonen, A. Jung
2021
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Flow-Based Clustering and Spectral Clustering
Y. Sarcheshmehpour, Y. Tian, L. Zhang, A. Jung
2021
55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Predicting power outages caused by extratropical storms
Roope Tervo, Ilona Láng, Alexander Jung, Antti Mäkelä
2021
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
Learning Explainable Decision Rules via Maximum Satisfiability
Henrik Cao, Riku Sarlin, Alex Jung
2020
IEEE Access
Anomaly Location Detection with Electrical Impedance Tomography Using Multilayer Perceptrons
Timo Huuhtanen, Alex Jung
2020
Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020
An Information-Theoretic Approach to Personalized Explainable Machine Learning
Alex Jung, Pedro H. J. Nardelli
2020
IEEE Signal Processing Letters
Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization
Alexander Jung
2020
Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Networked Exponential Families for Big Data over Networks
Alexander Jung
2020
IEEE Access
On the Duality Between Network Flows and Network Lasso
Alex Jung
2020
IEEE Signal Processing Letters
Classifying Partially Labeled Networked Data VIA Logistic Network Lasso
Nguyen Tran, Henrik Ambos, Alexander Jung
2020
2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
On the Sample Complexity of Graphical Model Selection From Non-Stationary Samples
Nguyen Tran, Oleksii Abramenko, Alexander Jung
2020
IEEE Transactions on Signal Processing
On the Sample Complexity of Graphical Model Selection From Non-Stationary Samples
Nguyen Tran Quang, Alex Jung, Oleksii Abramenko
2020
IEEE Transactions on Signal Processing
Graph Signal Sampling via Reinforcement Learning
O. Abramenko, A. Jung
2019
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings
Classifying Big Data over Networks Via the Logistic Network Lasso
Henrik Ambos, Nguyen Tran, Alexander Jung
2019
2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS
Classifying Process Instances Using Recurrent Neural Networks
Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung
2019
Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers
Outlier Detection from Non-Smooth Sensor Data
Timo Huuhtanen, Henrik Ambos, Alex Jung
2019
EUSIPCO 2019 - 27th European Signal Processing Conference
Analysis of Network Lasso for Semi-Supervised Regression
Alex Jung, Natalia Vesselinova
2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, Naha, Okinawa, Japan
Localized Linear Regression in Networked Data
Alexander Jung, Nguyen Tran
2019
IEEE Signal Processing Letters
Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization
Alex Jung, Alfred Hero, Alexandru Mara, Saeed Basirian Jahromi, Ayelet Heimowitz, Yonina C. Eldar
2019
IEEE Transactions on Signal Processing
Automating Root Cause Analysis via Machine Learning in Agile Software Testing Environments
Julen Kahles, Juha Torronen, Timo Huuhtanen, Alexander Jung
2019
Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation, ICST 2019
Sparse Subspace Clustering for Evolving Data Streams
J. Sui, Zhen Liu, Li Liu, A. Jung, Tianpeng Liu, Bo Peng, Xiang Li
2019
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Short-Term Prediction of Electricity Outages Caused by Convective Storms
Roope Tervo, Joonas Karjalainen, Alexander Jung
2019
IEEE Transactions on Geoscience and Remote Sensing
The Actor-Dueling-Critic Method for Reinforcement Learning
Menghao Wu, Yanbin Gao, Alexander Jung, Qiang Zhang, Shitong Du
2019
Sensors (Basel, Switzerland)
Network Intrusion Detection Using Flow Statistics
Buse Gul Atli, Yoan Miche, Alexander Jung
2018
2018 IEEE Statistical Signal Processing Workshop, SSP 2018
Online Feature Ranking for Intrusion Detection Systems
Buse Gul Atli, Alex Jung
2018
CoRR
Structural feature selection for event logs
Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung
2018
Business Process Management Workshops - BPM 2017 International Workshops, Revised Papers
The network nullspace property for compressed sensing of big data over networks
Madelon Hulsebos, Alexander Jung
2018
2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
Predictive Maintenance of Photovoltaic Panels via Deep Learning
Timo Huuhtanen, Alexander Jung
2018
2018 IEEE Data Science Workshop, DSW 2018 - Proceedings
On the Complexity of Sparse Label Propagation
Alex Jung
2018
Frontiers in Applied Mathematics and Statistics
When Is Network Lasso Accurate?
Alex Jung, Nguyen Tran Quang, Alexandru Mara
2018
Frontiers in Applied Mathematics and Statistics
Recovery conditions and sampling strategies for network Lasso
Alexandru Mara, Alexander Jung
2018
Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Domain Adaptation for Resume Classification Using Convolutional Neural Networks
Luiza Sayfullina, Eric Malmi, Yiping Liao, Alexander Jung
2018
Analysis of Images, Social Networks and Texts: 6th International Conference, AIST 2017, Moscow, Russia, July 27--29, 2017, Revised Selected Papers
Dynamic Clustering Scheme for Evolving Data Streams Based on Improved STRAP
Jinping Sui, Zhen Liu, Alex Jung, Li Liu, Xiang Li
2018
IEEE Access
Predicting Electricity Outages Caused by Convective Storms
Roope Tervo, Joonas Karjalainen, Alexander Jung
2018
2018 IEEE Data Science Workshop, DSW 2018 - Proceedings
A Network Compatibility Condition for Compressed Sensing over Complex Networks
Nguyen Tran, Henrik Ambos, Alexander Jung
2018
2018 IEEE Statistical Signal Processing Workshop, SSP 2018
On the sample complexity of graphical model selection from non-stationary samples
Nguyen Q. Tran, Alexander Jung
2018
2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
Random walk sampling for big data over networks
Saeed Basirian, Alexander Jung
2017
2017 12th International Conference on Sampling Theory and Applications, SampTA 2017
Smooth graph signal recovery via efficient Laplacian solvers
Gita Babazadeh Eslamlou, Alexander Jung, Norbert Goertz
2017
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
Efficient Graph Signal Recovery over Big Networks
Gabor Hannak, Peter Berger, Gerald Matz, Alex Jung
2017
Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
A Fixed-Point of View on Gradient Methods for Big Data
Alexander Jung
2017
Frontiers in Applied Mathematics and Statistics
Research Topics: Compressed Sensing over Complex Networks for Learning from Big Data over Networks
Alexander Jung, Holger Rauhut, Sergiy Vorobyov
2017
Frontiers in Applied Mathematics and Statistics
The network nullspace property for compressed sensing over networks
Alexander Jung, Ayelet Heimowitz, Yonina C. Eldar
2017
2017 12th International Conference on Sampling Theory and Applications, SampTA 2017
Learning conditional independence structure for high-dimensional uncorrelated vector processes
Nguyen Tran Quang, Alexander Jung
2017
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
When is Network Lasso Accurate: The Vector Case
Nguyen Tran Quang, Saeed Basirian Jahromi, Alex Jung
2017
Graph signal recovery from incomplete and noisy information using approximate message passing
Gita Babazadeh Eslamlou, Alex Jung, Norbert Goertz, Mehdi Fereydooni
2016
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
On the minimax risk of dictionary learning
Alexander Jung, Yonina C. Eldar, Norbert Görtz
2016
IEEE Transactions on Information Theory
Scalable graph signal recovery for big data over networks
Alex Jung, Peter Berger, Gabor Hannak, Gerald Matz
2016
SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
Joint channel estimation and activity detection for multiuser communication systems
Gabor Hannak, Martin Mayer, Alexander Jung, Gerald Matz, Norbert Goertz
2015
2015 IEEE International Conference on Communication Workshop, ICCW 2015
Graphical LASSO based Model Selection for Time Series
A. Jung, G. Hannak, N. Goertz
2015
IEEE Signal Processing Letters
Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach
Alexander Jung
2015
IEEE Transactions on Signal Processing
Iterative recovery of dense signals from incomplete measurements
Norbert Goertz, Chunli Guo, Alexander Jung, Mike E. Davies, Gerhard Doblinger
2014
IEEE Signal Processing Letters
On the information-theoretic limits of graphical model selection for Gaussian time series
Gabor Hannak, Alexander Jung, Norbert Goertz
2014
2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
Compressive nonparametric graphical model selection for time series
Alexander Jung, Reinhard Heckel, Helmut Bolcskei, Franz Hlawatsch
2014
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Minimum variance estimation of a sparse vector within the linear gaussian model
Alexander Jung, Sebastian Schmutzhard, Franz Hlawatsch, Zvika Ben-Haim, Yonina C. Eldar
2014
IEEE Transactions on Information Theory
Performance limits of dictionary learning for sparse coding
Alexander Jung, Yonina C. Eldar, Norbert Görtz
2014
2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
The RKHS approach to minimum variance estimation revisited
Alexander Jung, Sebastian Schmutzhard, Franz Hlawatsch
2014
IEEE Transactions on Information Theory
Performance bounds for sparse parametric covariance estimation in Gaussian models
Alexander Jung, Sebastian Schmutzhard, Franz Hlawatsch, Alfred O. Hero
2011
2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Unbiased estimation of a sparse vector in white Gaussian noise
Alexander Jung, Zvika Ben-Haim, Franz Hlawatsch, Yonina C. Eldar
2011
IEEE Transactions on Information Theory
Minimum variance estimation for the sparse signal in noise model
Sebastian Schmutzhard, Alexander Jung, Franz Hlawatsch
2011
2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011
On unbiased estimation of sparse vectors corrupted by gaussian noise
Alexander Junga, Zvika Ben-Haimb, Franz Hlawatscha, Yonina C. Eldarb
2010
2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
A lower bound on the estimator variance for the sparse linear model
Sebastian Schmutzhard, Alexander Jung, Franz Hlawatsch, Zvika Ben-Haim, Yonina C. Eldar
2010
Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Compressive nonstationary spectral estimation using parsimonious random sampling of the ambiguity function
Alexander Jung, Georg Tauböck, Franz Hlawatsch
2009
2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
Compressive spectral estimation for nonstationary random processes
Alexander Jung, Georg Tauböck, Franz Hlawatsch
2009
2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009