Alex Jung

Alex Jung

Assistant Professor
Assistant Professor
T313 Dept. Computer Science
Helsinki Institute for Information Technology (HIIT)
Assistant 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/...

Contact information

Phone number
+358504657070

Areas of expertise

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

Honors and awards

Best Student Paper Award

Award or honor granted for a specific work Professorship Jung Alexander May 2011

Promotio Sub Auspiciis Res Publicae

highest academic distinction in Austria
Award or honor granted for academic or artistic career Professorship Jung Alexander Jun 2012

Amazon Machine Learning Research Award

Award or honor granted for a specific work Professorship Jung Alexander Jan 2018

Research groups

  • Computer Science Professors, Assistant Professor
  • Computer Science - Artificial Intelligence and Machine Learning (AIML), Assistant Professor
  • Computer Science - Large-scale Computing and Data Analysis (LSCA), Assistant Professor
  • Helsinki Institute for Information Technology (HIIT)
  • Professorship Jung Alexander, Assistant Professor

Publications

Hercules

Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro Frangi, U. Rajendra Acharya, Abbas Khosravi, H. K. Lam, Alexander Jung, Saeid Nahavandi 2022 IEEE Transactions on Industrial Informatics

Machine Learning

Alex Jung 2022

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

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

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

On the Duality Between Network Flows and Network Lasso

Alex Jung 2020 IEEE Signal Processing Letters

Dynamic Sparse Subspace Clustering for Evolving High-Dimensional Data Streams

Jinping Sui, Zhen Liu, Li Liu, Alex Jung, Xiang Li 2020 IEEE Transactions on Cybernetics

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

Explainable Empirical Risk Minimization

L. Zhang, G. Karakasidis, A. Odnoblyudova, L. Dogruel, A. Jung 2020 arXiv

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

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