photo Arlei Lopes da Silva
Postdoctoral Researcher in Computer Science

Dynamic Networks Analysis and Modeling Lab
Computer Science Department
University of California, Santa Barbara
Santa Barbara, CA, United States

email: arlei@cs.ucsb.edu






I'm a postdoctoral researcher in Computer Science at University of California, Santa Barbara, working with Prof. Ambuj Singh at the Dynamo Lab. In my research, I develop new algorithms for mining and learning from complex datasets that arise from data science applications in the Web, infrastructure, and healthcare. Earlier, I got my Ph.D in Computer Science also at UCSB and B.Sc and M.Sc degrees in Computer Science from Universidade Federal de Minas Gerais, in Brazil. I've also been a visiting scholar at Rensselaer Polytechnic Institute and a research intern at the IBM Research, HP Labs, and NEC Labs.

I am currently in the job market, here is my CV .




Research Interests:

  • Data Mining and Knowledge Discovery
  • Algorithms
  • Graphs/Networks
  • Machine Learning


Publications:

Combining Physics and Machine Learning for Network Flow Estimation
Arlei Silva, Furkan Kocayusufoglu, Saber Jafarpour, Francesco Bullo, Ananthram Swami, Ambuj Singh
To appear at the International Conference on Learning Representations (ICLR), 2021.

Network Robustness via K-core
Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva
To appear at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021.

Group Testing on a Network
Arlei Silva, Ambuj Singh
To appear at the AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Supplementary Material] [Code]

Approximate Algorithms for Data-driven Influence Limitation
Sourav Medya, Arlei Silva, Ambuj Singh
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.

A Game Theoretic Approach For Core Resilience
Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj Singh
International Joint Conference on Artificial Intelligence (IJCAI), 2020.

A Game Theoretic Approach For k-Core Minimization (Extended Abstract)
Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj Singh
International Conference on Autonomous Agents and Multiagent System (AAMAS), 2020.

Spectral Algorithms for Temporal Graph Cuts
Arlei Silva, Ambuj Singh, Ananthram Swami
The Web Conference (WWW), 2018.

Group Centrality Maximization via Network Design
Sourav Medya, Arlei Silva, Ambuj Singh, Prithwish Basu, Ananthram Swami
SIAM International Conference on Data Mining (SDM), 2018.

Privacy-Preserving Multi-party Clustering: An Empirical Study
Arlei Silva, Gowtham Bellala
IEEE International Conference on Cloud Computing (CLOUD), 2017.
[Slides]

Outlier Detection from Network Data with Subnetwork Interpretation
Xuan-Hong Dang, Arlei Silva, Prithwish Basu, Ambuj K Singh, Ananthram Swami
IEEE International Conference on Data Mining (ICDM), 2016.

Graph Wavelets via Sparse Cuts
Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K Singh, Ananthram Swami
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
[Slides] [Code][Video]

Hierarchical In-Network Attribute Compression via Importance Sampling
Arlei Silva, Petko Bogdanov, Ambuj K. Singh
IEEE International Conference on Data Engineering (ICDE), 2015.
[Slides] [Code]

ProfileRank: finding relevant content and influential users based on information diffusion
Arlei Silva, Sara Guimarães, Wagner Meira Jr, Mohammed Zaki
Proceedings of the Workshop on Social Network Mining and Analysis (SNAKDD), 2013.

Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
Proceedings of the VLDB Endowment (PVLDB), 2012.
[Slides] [Code]

Watch me Playing, I am a Professional: a First Study on Video Game Live Streaming
Mehdi Kaytoue, Arlei Silva, Loïc Cerf, Wagner Meira Jr, Chedy Raïssi
Proceedings of the Workshop on Mining Social Networks Dynamics (MSDN), 2012.

Min-hash fingerprints for graph kernels: A trade-off among accuracy, efficiency, and compression
Carlos HC Teixeira, Arlei Silva, Wagner Meira Jr
Journal of Information and Data Management (JIDM), 2012.

Structural correlation pattern mining for large graphs
Arlei Silva, Wagner Meira Jr, Mohammed J Zaki
Proceedings of the Eighth Workshop on Mining and Learning with Graphs (MLG), 2010.




My links: