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Research Interests

My research broadly spans the areas of data science, signal processing, machine learning, and artificial intelligence. The overarching theme of my work has been the design and development of models and algorithms that can extract actionable and interpretable insights from multi-aspect/multi-modal data, typically with very little or no supervision. A major focus of my research has been on the development and advancement of tensor methods and their applications in high-impact real-world problems, including misinformation detection on the web, graph and social network analytics and mining, explainable AI, and detection of gravitational waves.

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Contact

Email

  • epapalexcs dot ucr dot edu
  • vagelis.papalexakisgmail dot com

Location

3132 Multidisciplinary Research Building
Computer Science & Engineering Department
University of California Riverside
900 University Ave
Riverside, CA 92521
USA

Web Presence

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Go to Conference Papers, Journal Papers, Tutorials, Demos, Book Chapters, and Workshop Papers.


Conference Papers

2024

  1. Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani, Neural Additive Tensor Decomposition for Sparse Tensors, ACM CIKM 2024, Paper
  2. Dawon Ahn, William Shiao, Arindam Khaled, Andrew Bauer, Stefanos Poulis, Evangelos E. Papalexakis, Compact Interpretable Tensor Graph Multi-Modal News Embeddings, The Web Conference 2024, Short Paper
  3. Zubair Qazi, William Shiao, Evangelos E. Papalexakis, GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection Method, The Web Conference 2024, Short Paper
  4. Uday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang, Evangelos E. Papalexakis, Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification, SIAM SDM 2024, Houston, TX
  5. Ethan Villalobos, Constantine Tarawneh, Jia Chen, Evangelos E. Papalexakis, and Ping. Xu, Kernel Ridge Regression in Predicting Railway Crossing Accidents, American Society of Mechanical Engineers (ASME) 2024 Joint Rail Conference (JRC2024), Columbia, SC, May 2024.
  6. Ethan Villalobos, Hector Lugo, Biqian Cheng, Miguel Gutierrez, Constantine Tarawneh, Ping Xu, Jia Chen, and Evangelos E. Papalexakis , Spectral Clustering in Railway Crossing Accidents Analysis, American Society of Mechanical Engineers (ASME) 2024 Joint Rail Conference (JRC2024), Columbia, SC, May 2024.

2023

  1. William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis, CARL-G: Clustering-Accelerated Representation Learning on Graphs, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023, Paper
  2. William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah, Link Prediction with Non-Contrastive Learning, ICLR 2023, Kigali, Rwanda, Paper
  3. Ravdeep Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis, Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation, SIAM SDM 2023, Minneapolis, MN, Paper

2022

  1. Negin Entezari, Evangelos E. Papalexakis, Low-rank Defenses Against Adversarial Attacks in Recommender Systems, IEEE BigData 2022 Special Session on Privacy and Security of Big Data, Paper
  2. Yunshu Wu, Uday Singh Saini, Jia Chen, Evangelos E. Papalexakis, TENALIGN: Joint Tensor Alignment and Coupled Factorization IEEE International Conference on Data Mining (ICDM) 2022, Paper
  3. Negin Entezari, Evangelos E. Papalexakis, TensorShield: Tensor-Based Defense Against Adversarial Attacks on Images, Military Communications Conference (MILCOM) 2022, Paper
  4. Ekta Gujral, Evangelos E. Papalexakis, APTERA: Automatic PARAFAC2 Tensor Analysis, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2022, Paper
  5. Uday Singh Saini, Evangelos E. Papalexakis, Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks, 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2022, Paper
  6. Jia Chen, Dalia Orozco, Lizeth Figueroa, Evangelos E. Papalexakis, Unsupervised Multiview Embedding of Node Embeddings, Proceedings of Asilomar Conf. on Signals, Systems, and Computers, paper, Pacific Grove, CA, November 2022, Paper
  7. Sara Abdali, Subho Mukherjee, Evangelos E. Papalexakis, Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2022, Paper
  8. Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles Kamhoua, Evangelos E. Papalexakis, Fei Fang , MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2022, Paper

2021

  1. Negin Entezari, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao, and Shishir Kumar Prasad, Tensor-based Complementary Product Recommendation, IEEE BigData 2021, Paper
  2. Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah, Niche Detection in User Content Consumption Data, ACM International Conference on Information and Knowledge Management (CIKM) 2021 Paper
  3. Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov, Mining Bursty Groups from Interaction Data, ACM International Conference on Information and Knowledge Management (CIKM) 2021. Paper
  4. William Shiao, Evangelos E. Papalexakis, Adversarially Generating Rank-Constrained Graphs, The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2021, Paper
  5. Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis, Subspace Clustering based analysis of Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2021, Paper
  6. Mariam Salloum, Daniel Jeske, Wenxiu Ma, Evangelos E. Papalexakis, Christian Shelton, Vassilis Tsotras, Shuheng Zhou, Developing an Interdiciplinary Data Science Program, 2021 SIGCSE Technical Symposium on Computer Science Education Paper
  7. Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos, Recten: a recursive hierarchical low rank tensor factorization method to discover hierarchical patterns in multi-modal data, International AAAI Conference on Web and Social Media (ICWSM) 2021, Venice, Italy, Paper
  8. Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis Identifying Misinformation from Website Screenshots, International AAAI Conference on Web and Social Media (ICWSM) 2021, Venice, Italy Paper

2020

  1. Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis, C3APTION: Constraint Coupled CP and PARAFAC2 Tensor Decomposition, ASONAM 2020 Paper
  2. Risul Islam, Md Omar Faruk Rokon, Evangelos E Papalexakis, Michalis Faloutsos, Tenfor: a tensor-based tool to extract interesting events from security forums, ASONAM 2020, Paper
  3. Ravdeep Pasricha, Pravallika Devineni, Evangelos E. Papalexakis, Ramakrishnan Kannan Tensorized Feature Spaces for Feature Explosion, International Conference on Pattern Recognition (ICPR) 2020, Milan, Italy Paper
  4. Niluthpol Chowdhury Mithun, Ravdeep Pasricha, Evangelos E. Papalexakis, Amit K. Roy- Chowdhury, Webly Supervised Image-Text Embedding with Noisy Tag Refinement, International Conference on Pattern Recognition (ICPR) 2020, Milan, Italy Paper
  5. Zhenjie Zhao, Evangelos E. Papalexakis, Xiaojuan Ma, Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Paper
  6. Ekta Gujral, Evangelos E. Papalexakis OnlineBTD: Streaming Algorithms to Track the Block Term Decomposition of Large Tensors IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2020, Sydney, Australia Paper
  7. Sara Abdali, Neil Shah, Evangelos E. Papalexakis Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition, Applied Data Science Track, ECML-PKDD 2020, Ghent, Belgium Paper Code
  8. Md Omar Faruk Rokon, Risul Islam, Ahmad Darki, Evangelos E. Papalexakis, Michalis Faloutsos SourceFinder: Finding Malware Source-Code from Publicly Available Repositories in GitHub, International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020) Paper
  9. Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis POPLAR: Parafac2 decOmPosition using auxiLiAry infoRmation 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China Paper
  10. Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos REST: A thread embedding approach for identifying and classifying user-specified information in security forums, International AAAI Conference on Web and Social Media (ICWSM) 2020, Atlanta, Georgia, US Paper
  11. Bashar Romanous,Mohammadreza Rezvani, Junjie Huang, Daniel Wong, Evangelos E. Papalexakis, Vassilis J Tsotras, Walid Najjar High-Performance Parallel Radix Sort on FPGA, 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) Paper
  12. Ekta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs, The Web Conference, Taipei, Taiwan Paper
  13. Yorgos Tsitsikas, Dimitris G Chachlakis, Evangelos E Papalexakis, Panos P Markopoulos, L1-Norm RESCAL Decomposition, 54th Asilomar Conference on Signals, Systems, and Computers, 2020, Paper
  14. Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis, SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets SIAM SDM 2020, Cincinnati OH, Paper
  15. Georgios Tsitsikas, Evangelos E. Papalexakis, NSVD: Normalized Singular Value Deviation Reveals Number of Latent Factors in Tensor Decomposition SIAM SDM 2020, Cincinnati OH, Paper
    • Selected as one of the Best of SDM 2020
  16. Ehsan Samani, Parviz Khaledian, Armin Aligholian, Evangelos E. Papalexakis, Shawn Cun, Masoud H. Nazari, Hamed Mohsenian-Rad Anomaly Detection in IoT-Based PIR Occupancy Sensors to Improve Building Energy Efficiency 2020 IEEE Innovative Smart Grid Technologies (ISGT), Washington DC, Paper
  17. Negin Entezari, Saba Al-Sayouri, Amirali Darvishzadeh, Evangelos E. Papalexakis, All You Need is Low (Rank): Defending Against Adversarial Attacks on Graphs, 2020 ACM Web Search and Data Mining (WSDM) Conference, Houston TX, Paper

2019

  1. Ekta Gujral, Ravdeep Pasricha, Tianxiong Yang, Evangelos E. Papalexakis, OcTen: Online Compression-based Tensor Decomposition IEEE CAMSAP 2019, Guadeloupe, West Indies Paper
  2. Zachary Zimmerman, Nader Shakibay Senobari, Gareth Funning, Evangelos E. Papalexakis, Samet Oymak, Philip Brisk, and Eamonn Keogh Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile 2019 IEEE International Conference on Data Mining (ICDM), Beijing, China, Paper
  3. Zhenjie Zhao, Andrew Cattle, Evangelos E. Papalexakis, Xiaojuan Ma, Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition, 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China, Paper
  4. Mike Izbicki, Evangelos E. Papalexakis, Vassilis J. Tsotras, Geolocating Tweets in any Language at any Location, 2019 ACM International Conference on Information and Knowledge Management (CIKM), Beijing China, Paper Code
  5. Ekta Gujral, Georgios Theocharous, Anup Rao, Evangelos E. Papalexakis, HACD: Hierarchical Agglomerative Community Detection in Social Networks 2019 IEEE Machine Learning for Signal Processing Symposium (MLSP), Pittsburgh PA Paper
  6. Dimitris Chachlakis, Yorgos Tsitsikas, Evangelos E. Papalexakis, Panagiotis P. Markopoulos, Robust multi-relational learning with absolute projection RESCAL IEEE Global Conference on Information Processing (IEEE GlobalSIP 2019), Ottawa, Canada, 2019 Paper
  7. Mike Izbicki, Evangelos E. Papalexakis, Vassilis J. Tsotras, Exploiting the Earth’s Spherical Geometry to Geolocate Images , 2019 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Wurzburg, Germany Paper Code
  8. Georgios Tsitsikas, Evangelos E. Papalexakis, The Core Consistency of a Compressed Tensor, IEEE Data Science Workshop (DSW) 2019, Minneapolis, MN, USA Paper
  9. Abdulrahman Fahim, Ajaya Neupane, Evangelos E. Papalexakis, Lance Kaplan, Srikanth V. Krishnamurthy, Tarek Abdelzaher, Edge-assisted Detection and Summarization of Key Global Events from Distributed Crowd-sensed Data , 2019 IEEE International Conference on Cloud Engineering (IC2E), Prague, Czech Republic Paper

2018

  1. Evangelos E. Papalexakis, Kostas Pelechrinis, tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data, ACM CIKM 2018, Torino, Italy Paper
  2. Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce Ho, Jimeng Sun COPA: Constrained PARAFAC2 for Sparse & Large Datasets ACM CIKM 2018, Torino, Italy Paper
  3. Niluthpol Mithun, Rameswar Panda, Evangelos E. Papalexakis, Amit Roy-Chowdhury, Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval, ACM Multimedia (ACMM) 2018, Seoul, South Korea Paper
  4. Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis, Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition, ECML-PKDD 2018, Dublin, Ireland Paper
  5. Md Lutfor Rahman, Sharmistha Bardhan, Ajaya Neupane, Evangelos E. Papalexakis, Chengyu Song, Learning Tensor-based Representations from Brain-Computer Interface Data for Cybersecurity, ECML-PKDD 2018, Dublin, Ireland Paper
  6. Gisel Bastidas Guacho, Sara Abdali, Neil Shah, Evangelos E. Papalexakis, Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings, IEEE/ACM ASONAM 2018, Barcelona, Spain Paper
  7. Saba Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, Sara Lam, t-PNE: Tensor-based Predictable Node Embeddings, IEEE/ACM ASONAM 2018, Barcelona, Spain Paper
  8. Sanaz Bahargam, Evangelos E. Papalexakis, Constrained Coupled Matrix-Tensor Factorization and its Application in Pattern and Topic Detection, IEEE/ACM ASONAM 2018, Barcelona, Spain Paper
  9. Pravallika Devineni, Evangelos E. Papalexakis, Kalina Michalska, Michalis Faloutsos, MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors (poster), IEEE/ACM ASONAM 2018, Barcelona, Spain Paper
  10. Uday Singh Saini, Evangelos E. Papalexakis, A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens, ACM KDD 2018 Deep Learning Day, London, UK, Paper
  11. Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard Vuduc, Xiaowei Yan, Christopher Defilippi, Walter F. Stewart, Jimeng Sun, SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping, ACM KDD 2018, London, UK Paper
  12. Alexander Gorovits, Ekta Gujral, Evangelos Papalexakis, Petko Bogdanov, LARC: Learning Activity-Regularized Overlapping Communities Across Time, ACM KDD 2018, London, UK Paper
  13. Sanaz Bahargam, Evangelos E. Papalexakis, Discovering Time-Evolving Topics of Varying Levels of Difficulty via Constrained Coupled Matrix-Tensor Factorization, International Conference on Computational Social Science 2018 (IC2S2), Evanston, IL
  14. Joobin Gharibshah, Evangelos E Papalexakis, Michalis Faloutsos, RIPEx: Extracting malicious IP addresses from security forums using cross-forum learning PAKDD 2018, Melbourne, Australia Paper
  15. Ekta Gujral, Evangelos Papalexakis, SMACD: Semi-supervised Multi-Aspect Community Detection,SIAM SDM 2018, San Diego, CA, Paper
  16. Ekta Gujral, Ravdeep Pasricha, Evangelos Papalexakis, SamBaTen: Sampling-based Batch Incremental Tensor Decomposition, SIAM SDM 2018, San Diego, CA, Paper

2017

  1. Azeem Aqil, Karim Khalil, Ahmed O.F. Atya, Evangelos E. Papalexakis, Srikanth V. Krishnamurthy, Trent Jaeger, K.K. Ramakrishnan, Paul Yu, Ananthram Swami, Jaal: Towards Network Intrusion Detection at ISP Scale, ACM CoNEXT 2017, Seoul, Korea, Paper
  2. Ishmam Zabir, Evangelos E. Papalexakis, Balancing Interpretability and Predictive Accuracy for Unsupervised Tensor Mining, Asilomar Conference on Signals, Systems, and Computers 2017, Asilomar, CA, Paper
  3. Ioakeim Perros, Evangelos E Papalexakis, Fei Wang, Richard Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun, SPARTan: Scalable PARAFAC2 for Large & Sparse Data, ACM KDD 2017, Halifax, NS, Canada, Paper, Code
  4. Pravallika Devineni, Evangelos E Papalexakis, Danai Koutra, A. Seza Doğruöz, Michalis Faloutsos, One Size Does not Fit All: Profiling Personalized Time-Evolving User Behaviors, IEEE/ACM ASONAM 2017, Sydney, NSW, Australia, Paper.
  5. Tai-Ching Li, Joobin Gharibshah, Evangelos E Papalexakis, Michalis Faloutsos, TrollSpot: Detecting misbehavior in commenting platforms, IEEE/ACM ASONAM 2017, Sydney, NSW, Australia, Paper.
  6. Joobin Gharibshah,Tai-Ching Li,Maria Solanas Vanrell, Evangelos E. Papalexakis,Andre Castro, Konstantinos Pelechrinis, Michalis Faloutsos, InferIP: Extracting actionable information, IEEE/ACM ASONAM 2017, Sydney, NSW, Australia, Paper
  7. Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun-Ah Song, Evangelos E. Papalexakis, Partha Pratim Talukdar, Tom Mitchell, Nicholas D.Sidiropoulos, Christos Faloutsos, Barnabas Poczos, BrainZoom: High Resolution Reconstruction from Multi- modal Brain Signals, SIAM SDM 2017, Houston, TX, Paper
  8. Ashkan Sadeghi-Mobarakeh, Mahdi Kohansal, Evangelos E Papalexakis, Hamed Mohsenian-Rad, Data Mining based on Random Forest Model to Predict the California ISO Day-ahead Market Prices, IEEE ISGT (Innovative Smart Grid Technologies Conference) 2017, Washington DC Paper
  9. Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu S-HOT: Scalable High-Order Tucker Decomposition ACM WSDM 2017, Cambridge, UK, Paper

2016

  1. Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun-Ah Song, Partha Pratim Talukdar, Nicholas D.Sidiropoulos, Christos Faloutsos, Tom Mitchell Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis, IEEE ICDM 2016, Barcelona, Spain, Paper
  2. Evangelos E. Papalexakis, Automatic Unsupervised Tensor Mining with Quality Assessment, SIAM SDM 2016, Miami, FL Paper Supplementary Material Code
  3. Bryan Hooi, Hyun-Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal, Christos Faloutsos, Matrices, Compression, Learning Curves: formulation, and the GroupNTeach algorithms, PAKDD 2016, Auckland, New Zealand Paper Code

2015

  1. Evangelos E. Papalexakis, Konstantinos Pelechrinis, Christos Faloutsos, Location Based Social Network Analysis Using Tensors and Signal Processing Tools, IEEE CAMSAP 2015, Cancun, Mexico Paper
  2. Matt Gardner, Kejun Huang, Evangelos E. Papalexakis, Xiao Fu, Partha Pratim Talukdar, Christos Faloutsos, Nicholas D.Sidiropoulos, Tom Mitchell Translation Invariant Word Embeddings EMNLP 2015, Lisbon, Portugal (short paper) Paper
  3. Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis Whither Social Networks for Web Search? ACM SIGKDD 2015 (Industry and Practice Track), Sydney, NSW, Australia Paper Video (Older version of the paper appearing as Technical Report, February 2015, Data Insights Laboratories)
  4. Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis A study of distinctiveness in web results of two search engines, WWW 2015 Web Science Track, Florence, Italy Paper (Older version of the paper appearing as Technical Report, January 2015, Data Insights Laboratories)
  5. Kejun Huang, Nicholas D. Sidiropoulos, Christos Faloutsos, Evangelos E. Papalexakis, Partha Pratim Talukdar, Tom Mitchell, Principled Neuro-Functional Connectivity Discovery SIAM SDM 2015, Vancouver, Canada Paper
  6. Inah Jeon, Evangelos E. Papalexakis, U Kang, Christos Faloutsos, HaTen2: Billion-scale Tensor Decompositions IEEE ICDE 2015, Seoul, Korea Paper
  7. Evangelos E. Papalexakis, Christos Faloutsos, Fast Efficient and Scalable Core Consistency Diagnostic for the PARAFAC Decomposition for Big Sparse Tensors IEEE ICASSP 2015, Brisbane, Australia Paper Code
  8. Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis Data-Driven Synthesis of Study Plans Technical Report, March 2015, Data Insights Laboratories Paper

2014

  1. Evangelos E. Papalexakis, Alona Fyshe, Nicholas Sidiropoulos,Partha Pratim Talukdar, Tom Mitchell,Christos Faloutsos, Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments, ACM SIGKDD 2014, New York City, USA Paper Code Poster Video
  2. Ching-Hao Mao, Chung-Jung Wu, Kuo-Chen Lee, Evangelos E. Papalexakis, Christos Faloutsos, MalSpot: Multi^2 Malicious Network Behavior Patterns Analysis, PAKDD 2014, Tainan, Taiwan Paper
  3. Miguel Araujo, Spiros Papadimitriou, Stephan Günnemann, Christos Faloutsos, Prithwish Basu, Ananthram Swami, Evangelos Papalexakis, Danai Koutra, Com2: Fast Automatic Discovery of Temporal (Comet) Communities, PAKDD 2014, Tainan, Taiwan Paper
    • Best student paper award (runner up)
  4. Spiros Papadimitriou, Evangelos E. Papalexakis, Towards laws of the 3d-printable design web, 2014 ACM conference on Web science (WebSci)Paper
    • Best lightning talk award
  5. Nicholas Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, A Parallel Algorithm for Big Tensor Decomposition Using Randomly Compressed Cubes (PARACOMP), ICASSP 2014, Florence, Italy Paper
  6. Evangelos Papalexakis, Tom Mitchell, Nicholas Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy, Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x, SDM 2014, Philadelphia, PA, USA Paper Supplementary Material Code
    • Selected as one of the best papers of SDM 2014
  7. Alex Beutel, Abhimanu Kumar, Evangelos E. Papalexakis, Partha Pratim Talukdar, Christos Faloutsos, Eric Xing, FlexiFact: Scalable Flexible Factorization of Coupled Tensors on Hadoop SDM 2014, Philadelphia, PA, USA Paper
  8. Evangelos E. Papalexakis, Konstantinos Pelechrinis, Christos Faloutsos, Spotting Misbehaviors in Location-based Social Networks using Tensors, WWW 2014 Web Science Track (poster), Seoul, Korea Paper
  9. Ariel Fuxman, Ashok Chandra, Pradeep Chilakamarri, Michael Gamon, Bernhard Kohlmeir, Yuanhua Lv, Dhyanesh Narayanan, Patrick Pantel, Evangelos E. Papalexakis, Bo Zhao, Contextual Insights, WWW 2014 (Poster Track), Seoul, Korea Paper

2013

  1. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng (Polo) Chau, B. Aditya Prakash, Christos Faloutsos, Spatio-temporal Mining of Software Adoption & Penetration,
    2. ASONAM 2013, Niagara Falls, Canada, August 2013 Paper
    • Selected as one of the best papers for possible publication in the "Social Network Analysis and Mining" journal, by Springer
  2. Evangelos E. Papalexakis, Leman Akoglu, Dino Ienco, Do more Views of a Graph help? Community Detection and Clustering in Multi-Graphs, Fusion 2013, Istanbul, Turkey Paper Code
  3. Misael Mongiovi, Petko Bogdanov, Razvan Ranca, Ambuj K. Singh, Evangelos E. Papalexakis, Christos Faloutsos NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks, SDM 2013, Austin, Texas, May 2013 Paper Supplementary Material
  4. Yasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos F-Trail: Finding Patterns in Taxi Trajectories, PAKDD 2013, Gold Coast, Queensland, Australia, April 2013 Paper

2012

  1. Danai Koutra, Evangelos E. Papalexakis, Christos Faloutsos, TensorSplat: Spotting Latent Anomalies in Time, PCI (16th Panhellenic Conference on Informatics with international participation), Piraeus, Greece, Oct. 2012 Paper
  2. Evangelos E. Papalexakis, Christos Faloutsos, Nicholaos D. Sidiropoulos ParCube: Sparse Parallelizable Tensor Decompositions, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2012 (ECML-PKDD), Bristol, United Kingdom Paper Code [UPDATED, NOVEMBER 2014]
  3. Evangelos E. Papalexakis, Alex Beutel, Peter Steenkiste, Network Anomaly Detection using Co-clustering, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ASONAM 2012, Istanbul, Turkey Paper [Selected as one of the best papers for possible publication in the "Springer Encyclopedia of Social Network Analysis and Mining"]
  4. U Kang, Evangelos E. Papalexakis, Abhay Harpale, Christos Faloutsos, GigaTensor: Scaling Tensor Analysis Up By 100 Times - Algorithms and Discoveries, ACM SIGKDD 2012, Beijing, China, Paper

2011

  1. Evangelos E. Papalexakis, Nicholaos D. Sidiropoulos, Co-clustering as multilinear decomposition with sparse latent factors, IEEE ICASSP 2011, Prague, Czech Republic Paper Poster
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Go to Conference Papers, Journal Papers, Tutorials, Demos, Book Chapters, and Workshop Papers.

Journal Papers

2023

  1. William Shiao, Evangelos E. Papalexakis, FRAPPE: Fast Rank Approximation with Explainable Features for Tensors Springer Data Mining and Knowledge Discovery, August 2024 Paper
  2. William Shiao, Evangelos E. Papalexakis, Synthetic data for learning-based knowledge discovery ACM SIGKDD Explorations, June 2024 Paper

2023

  1. William Shiao, Benjamin A Miller, Kevin Chan, Paul Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis, TenGAN: adversarially generating multiplex tensor graphs, Springer Data Mining and Knowledge Discovery 2023 (ECML-PKDD 2023 Journal Track) Paper
  2. Abdulrahman Fahim, Evangelos E. Papalexakis, Srikanth V Krishnamurthy, Amit K. Roy Chowdhury, Lance Kaplan, Tarek Abdelzaher, AcTrak: Controlling a Steerable Surveillance Camera using Reinforcement Learning, ACM Transactions on Cyber-Physical Systems 2023

2022

  1. Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis, Adaptive Granularity in Tensors: A Quest for Interpretable Structure, Frontiers in Big Data, section Machine Learning and Artificial Intelligence 2022, Paper
  2. Ryan Rivas, Sudipta Paul, Vagelis Hristidis, Evangelos E. Papalexakis, Amit K Roy-Chowdhury Task-agnostic representation learning of multimodal twitter data for downstream applications, Journal of Big Data 2022, Paper
  3. Abdulrahman Fahim, Ajaya Neupane, Evangelos E. Papalexakis, Lance Kaplan, Srikanth V Krishnamurthy, Tarek Abdelzaher BigEye: Detection and Summarization of Key Global Events from Distributed Crowd-sensed Data, IEEE Internet of Things Journal 2022, Paper

2020

  1. Saba Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, Sarah S Lam t-pine: Tensor-based predictable and interpretable node embeddings, Springer, Social Network Analysis and Mining, 2020
  2. Hwanjo Yu, Jiyuan Zhang, Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos Fast and memory-efficient algorithms for high-order Tucker decomposition, Springer Knowledge and Information Systems, 2020

2019

  1. Saba A Al-Sayouri, Danai Koutra, Evangelos E. Papalexakis, Sarah S Lam SURREAL: Subgraph Robust Representation Learning, Springer Applied Network Science, 2019
  2. Ioakeim Perros, Evangelos E. Papalexakis, Richard Vuduc, Elizabeth Searles, Jimeng Sun Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization, Journal of biomedical informatics, 2019

2018

  1. Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun-Ah Song, Parta Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom Mitchell, Efficient and Distributed Generalized Canonical Correlations Analysis for Big Multiview Data, IEEE Transactions on Knowledge and Data Engineering, accepted, Sep. 2018
  2. Panagiotis P. Markopoulos, Dimitrios G. Chachlakis, Evangelos E. Papalexakis, The exact solution to rank-1 L1-norm TUCKER2 decomposition, IEEE Signal Processing Letters, 2018

2017

  1. Nicholas Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos, Tensor decomposition for signal processing and machine learning, IEEE Transactions on Signal Processing, 2017, Paper.
  2. Rakesh Agrawal, Behzad Golshan, Evangelos E Papalexakis, Homogeneity in web search results: Diagnosis and mitigation, ACM Transactions on Intelligent Systems and Technology (TIST), 2017, Paper

2016

  1. Konstantinos Pelechrinis, Evangelos E. Papalexakis, The anatomy of American football: evidence from 7 years of NFL game data, PLoS one, 2016, Paper.
  2. Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis, Toward Data-Driven Design of Educational Courses: A Feasibility Study, JEDM-Journal of Educational Data Mining 2016, Paper.
  3. Evangelos E. Papalexakis, Christos Faloutsos Unsupervised Tensor Mining for Big Data Practitioners Big Data Journal, Paper
  4. Inah Jeon, Evangelos E. Papalexakis, Christos Faloutsos, Lee Sael, U Kang, Mining billion-scale tensors: algorithms and discoveries, The VLDB Journal, 2016, Paper.
  5. Evangelos E. Papalexakis, Christos Faloutsos, Nicholaos D. Sidiropoulos Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms, ACM Transactions on Intelligent Systems and Technology (TIST) Paper
  6. Evangelos Papalexakis, Tom Mitchell, Nicholas Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy Turbo-SMT: Parallel Coupled Sparse Matrix-Tensor Factorizations and Applications, Statistical Analysis and Data Mining (Best of SDM 2014 Special Issue Pt. 2) Paper
  7. Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis Overlap in the Web Search Results of Google and Bing , The Journal of Web Science (invited as one of the best papers of WWW'15 Web Science Track) Paper
  8. Evangelos E. Papalexakis, Bryan Hooi, Konstantinos Pelechrinis, Christos Faloutsos, Power-Hop: A Pervasive Observation for Real Complex Networks, PLoS ONE 11(3), Paper

2015

  1. Evangelos E. Papalexakis, Christos Faloutsos, Nicholaos D. Sidiropoulos ParCube: Sparse Parallelizable CANDECOMP-PARAFAC Tensor Decomposition, ACM Transactions on Knowledge Discovery from Data, 2015 Paper Code [UPDATED, NOVEMBER 2014]

2014

  1. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng (Polo) Chau, B. Aditya Prakash, Christos Faloutsos, SharkFin: Spatio-temporal Mining of Software Adoption & Penetration, Social Network Analysis and Mining (SNAM), Springer, December 2014 Paper
  2. Evangelos E. Papalexakis, Alona Fyshe, Nicholas Sidiropoulos,Partha Pratim Talukdar, Tom Mitchell,Christos Faloutsos, Good-Enough Brain Model: Challenges, Algorithms and Discoveries in Multi-Subject Experiments Big Data Journal, December 2014, Paper
  3. Evrim Acar, Evangelos E. Papalexakis, Gozde Gurdeniz, M. Rasmussen, A. J. Lawaetz, M. Nilsson, Rasmus Bro, Structure-Revealing Data Fusion, BMC Bioinformatics, 2014 Preprint Paper
  4. Nicholaos D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos PArallel RAndomly COMPressed Cubes (PARACOMP): A Scalable Distributed Architecture for Big Tensor Decomposition, IEEE Signal Processing Magazine, Special Issue on Signal Processing for Big Data, 2014 Paper

2013

  1. Evangelos E. Papalexakis, U Kang, Christos Faloutsos, Nicholaos D. Sidiropoulos, Abhay Harpale Large Scale Tensor Decompositions: Algorithmic Developments and Applications , IEEE Data Engineering Bulletin, September 2013 Paper
  2. U Kang, Brendan Meeder, Evangelos E. Papalexakis, Christos Faloutsos, HEigen: Spectral Analysis for Billion-Scale Graphs, IEEE Transactions on Knowledge and Data Engineering

2012

  1. Evangelos E. Papalexakis, Nicholaos D. Sidiropoulos, Rasmus Bro, From K-means to higher-way co-clustering: multilinear decomposition with sparse latent factors, IEEE Transactions on Signal Processing, Paper Code
  2. Rasmus Bro, Evangelos E. Papalexakis, Evrim Acar, Nicholaos D. Sidiropoulos, Coclustering - a useful tool for Chemometrics, Journal of Chemometrics, January 2012 Paper Code
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Tutorials

  1. Konstantinos Pelechrinis, Evangelos Papalexakis, Winning in Sports with Data, WSDM 2018, Los Angeles, CA
  2. Konstantinos Pelechrinis, Evangelos Papalexakis, Benjamin Alamar, Athlytics: Data Mining and Machine Learning for Sports Analytics , ACM KDD 2017, Halifax, NS, Canada, Material
  3. Nikos Sidiropoulos, Xiao Fu, Lieven De Lathauwer, Evangelos Papalexakis, Tensors for Signal Processing and Machine Learning, IEEE ICASSP 2017, New Orleans, LA
  4. Nicholaos D. Sidiropoulos, Evangelos E. Papalexakis, Factoring Tensors in the Cloud: A Tutorial on Big Tensor Data Analytics, IEEE ICASSP 2014, Florence, Italy Abstract Slides
  5. Big Arctic Data: A tutorial on Big Data, Arctic Analysis 2014, Ilulissat, Greenland, March 2014
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Demos

  1. Georgios Tsitsikas, Evangelos E. Papalexakis, Multi-Graph Explorer: A framework for Advanced Multi-Graph Analysis and Method Development, ACM CIKM 2024 Demo Track, Paper
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Book Chapters

  1. Barry C Barish, Jonathan Richardson, Evangelos E Papalexakis, Rutuja Gurav, Machine Learning for Complex Instrument Design and Optimization, Artificial Intelligence for Science: A Deep Learning Revolution, 2023 Paper
  2. Sara Abdali, Gisel Bastidas Guacho, Neil Shah, Evangelos E Papalexakis, Tensor Embeddings for Content-based Misinformation Detection with Limited Supervision Disinformation, Misinformation, and Fake News in Social Media, Springer 2020, Paper
  3. Evangelos E. Papalexakis, Alex Beutel, Peter Steenkiste, Network Anomaly Detection using Co-clustering, Springer Encyclopedia of Social Network Analysis and Mining
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Selected Workshop and Symposium Papers

  1. Jordan Steinhauser, Evangelos E. Papalexakis, Edward Korzus, Understanding Fear and Beyond in Neuronal Networks with Tensor and Graph Methods: An Interdisciplinary End-to-End Data Science Approach, Mining and Learning from Time Series Workshop in conjunction with ACM SIGKDD 2024 Paper
  2. Yu Fu, Wen Xiao, Jia Chen, Jiachen Li, Evangelos E. Papalexakis, Aichi Chien, Yue Dong, Cross-Task Defense: Instruction-Tuning LLMs for Content Safety, TrustNLP: Fourth Workshop on Trustworthy Natural Language Processing, Mexico City, Mexico, June 2024 Paper
  3. Rutuja Gurav, Het Patel, Zhuocheng Shang, Ahmed Eldawy, Jia Chen, Elia Scudiero, Evangelos E. Papalexakis, Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture, NeurIPS 2023 Workshop AI4Science Paper
  4. Dawon Ahn, William Shiao, Arindam Khaled, Andrew Bauer, Stefanos Poulis, Evangelos E. Papalexakis, Compact Interpretable Tensor Graph Multi-Modal News Embeddings, KDD 2023 workshop 18th International Workshop on Mining and Learning with Graphs (MLG), August 2023 Paper
  5. Rutuja Gurav, Evangelos E. Papalexakis, Barry C. Barish, Jonathan Richardson, Gabriele Vajente, Identifying Witnesses to Noise Transients in Ground-based Gravitational-wave Observations using Auxiliary Channels with Matrix and Tensor Factorization Techniques, NeurIPS 2022 Workshop AI4Science, Paper
  6. Derek Xu, William Shiao, Jia Chen, Evangelos E. Papalexakis, SV-Learn: Learning Matrix Singular Values with Neural Networks, The 2022 Workshop on Optimization Based Techniques for Emerging Data Mining Problems At IEEE ICDM 2022, Paper
  7. Mariana Duarte, Evangelos E. Papalexakis, and Jia Chen, Graph-Assisted Tensor Disaggregation KDD 2022 workshop 17th International Workshop on Mining and Learning with Graphs (MLG), August 2022, Paper
  8. William Shiao, Benjamin A Miller, Kevin Chan, Paul Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis Adversarial Generation of Multi-View Tensor Graphs: A Preliminary Model and Encouraging Results, Machine Learning on Graphs (MLoG) Workshop at WSDM 2022 Paper
  9. Maryam Shahcheraghi, Trevor Cappon, Samet Oymak, Evangelos E. Papalexakis, Eamonn Keogh, Zachary Zimmerman, Philip Brisk Matrix Profile Index Approximation for Streaming Time Series, Appeared as part of the 6th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data: and published in the proceedings of 2021 IEEE International Conference on Big Data (Big Data), Paper
  10. Md Imrul Kaish, Md Jakir Hossain, Evangelos Papalexakis, Jia Chen. COVID-19 or Flu? Discriminative Knowledge Discovery of COVID-19 Symptoms from Google Trends Data, epiDAMIK 4.0: The 4th International workshop on Epidemiology meets Data Mining and Knowledge discovery held in conjuction with ACM SIGKDD 2021, Paper
  11. Sara Abdali., M. Alex O. Vasilescu, Evangelos E. Papalexakis, Deepfake Representation with Multilinear Regression, MIS2-KDD 2021 : The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web-2021, Paper
  12. William Shiao, Evangelos E. Papalexakis, KI2TE: Knowledge-Infused InterpreTable Embeddings for COVID-19 Misinformation Detection, 1st International Workshop on Knowledge Graphs for Online Discourse Analysis (KnOD 2021) at The Web Conference 2021 Paper
  13. Jia Chen, Evangelos E. Papalexakis, Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk, 1st Workshop on Multi-Source Data Mining at ICDM 2020, Paper
  14. Rutuja Gurav, Barry Barish, Gabriele Vajente, Evangelos E. Papalexakis, Unsupervised matrix and tensor factorization for LIGO glitch identification using auxiliary channels, AAAI 2020 Fall Symposium on Physics-Guided AI to Accelerate Scientific Discovery, Paper
  15. William Shiao, Evangelos E. Papalexakis, BRGAN: Generating Graphs of Bounded Rank KDD 2020 Workshop on Mining and Learning with Graphs (MLG), Paper
    • Selected as one of the 4/40 papers for oral presentation
  16. Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis, Adaptive Granularity in Time Evolving Graphs as Tensors KDD 2020 Workshop on Mining and Learning with Graphs (MLG), Paper
  17. Sara Abdali, Neil Shah, Evangelos E. Papalexakis, KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection KDD 2020 TrueFact Workshop: Making a Credible Web for Tomorrow Paper
  18. Rutuja Gurav, Barry C. Barish, Evangelos Papalexakis, Multilinear Factorized Representations for LIGO Glitches in Label-scarce Settings KDD 2019 FEED Workshop Paper
  19. Uday Singh Saini, Evangelos E. Papalexakis, Characterizing & Exploring Deep CNN Representations Using Factorization, NeurIPS 2018 Workshop on Integrating Deep Learning Theories, Montreal, Canada Paper
  20. Gisel Bastidas Guacho, Sara Abdali, Evangelos Papalexakis, Semi-supervised Content-based Fake News Detection using Tensor Embeddings and Label Propagation SoCal NLP Symposium 2018, Irvine CA, Paper
  21. Ekta Gujral, Evangelos Papalexakis, SMACD: Semi-supervised Multi-Aspect Community Detection, WSDM 2018 Heteronam: International Workshop on Heterogeneous Networks Analysis and Mining, Paper
  22. Seyedmehdi Hosseinimotlagh, Evangelos Papalexakis, Unsupervised Content-Based Identification of Fake News Articles with Tensor Decomposition Ensembles, WSDM 2018 MIS2: Misinformation and Misbehavior Mining on the Web Workshop, Paper
    • Best paper award
  23. Tai-Ching Li, Joobin Gharibshah, Evangelos E Papalexakis, Michalis Faloutsos, Detecting misbehavior in commenting platforms, WSDM 2018 MIS2: Misinformation and Misbehavior Mining on the Web Workshop, Paper
    24. Ioakeim Perros, Evangelos Papalexakis, Elizabeth Searles, Woosang Lim, Haesun Park, Jimeng Sun, Unsupervised Phenotype Scoring, NIPS 2017 ML4H: Machine Learning for Health Workshop, Long Beach, CA, Paper
  24. Liuqing Yang, Evangelos E. Papalexakis, Exploration of Social and Web Image Search Results Using Tensor Decomposition, CVPR Workshop on Tensor Methods for Computer Vision 2017, Honolulu, Hawaii, Paper.
  25. Evangelos E. Papalexakis, A. Seza Doğruöz, Understanding Multilingual Social Networks in Online Immigrant Communities, at the Multilingual Web Access (MWA) Workshop at WWW 2015, Florence, Italy Paper
  26. Evangelos E. Papalexakis, Dong Nguyen, A. Seza Doğruöz, Predicting Code-switching in Multilingual Communication for Immigrant Communities, at the Workshop on Computational Approaches to Code Switching at EMNLP 2014, Doha, Qatar Paper
  27. Alex Beutel, Abhimanu Kumar, Evangelos E. Papalexakis, Partha Pratim Talukdar, Christos Faloutsos, Eric Xing, FlexiFact: Scalable Flexible Factorization of Coupled Tensors on Hadoop, NIPS 2013 Big Learning Workshop, Paper
  28. Evangelos E. Papalexakis, Nicholaos D. Sidiropoulos, Minos Garofalakis, Reviewer Profiling Using Sparse Matrix Regression, IEEE OEDM 2010 Workshop, held in conjuction with ICDM 2010, Sydney, Australia Paper
  29. Nicholaos D. Sidiropoulos, Evangelos E. Papalexakis, Three-way Co-clustering, SIAM workshop on Tensor Decompositions and Applications (TDA 2010), Monopoli, Bari, Italy, 13-17 September 2010
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