| 2026 | IWQoS | Beagle: Auto-tuning Performance Diagnosis for Live Video Streaming. | Chandan Bothra, Leonardo Teixeira, Zahaib Akhtar, Sanjay G. Rao, Bruno Ribeiro |
| 2026 | NDSS | Cascading and Proxy Membership Inference Attacks. | Yuntao Du, Jiacheng Li, Yuetian Chen, Kaiyuan Zhang, Zhizhen Yuan, Hanshen Xiao, Bruno Ribeiro, Ninghui Li |
| 2026 | WorldCIST | Optimizing Collaborative Filtering in Federated Learning by Aligning the Model with Different Data Partitions. | Joo Gaspar, Jos Pessoa, Bruno Ribeiro, Diogo Martinho, Joaquim Santos, Goreti Marreiros |
| 2025 | AISTATS | Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders. | Parjanya Prajakta Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi |
| 2025 | CVPR | DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. | Krishna Sri Ipsit Mantri, Carola-Bibiane Schnlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof |
| 2025 | EMNLP | Castle: Causal Cascade Updates in Relational Databases with Large Language Models. | Yongye Su, Yucheng Zhang, Zeru Shi, Bruno Ribeiro, Elisa Bertino |
| 2025 | ICLR | Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings. | Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro |
| 2025 | ICML | Zero-Shot Generalization of GNNs over Distinct Attribute Domains. | Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos I. Kanatsoulis, Jure Leskovec, Bruno Ribeiro |
| 2025 | NDSS | CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling. | Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li |
| 2025 | UAI | Constraint-based Causal Discovery from a Collection of Conditioning Sets. | Kenneth Lee, Bruno Ribeiro, Murat Kocaoglu |
| 2025 | SIGCOMM | Hattrick: Solving Multi-Class TE using Neural Models. | Abd AlRhman AlQiam, Zhuocong Li, Satyajeet Singh Ahuja, Zhaodong Wang, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani |
| 2024 | EPIA | Retrieval-Augmented Generation Based Assistant: A Smart Home Case Study. | Bruno Ribeiro, Luis Gomes, Zita Vale |
| 2024 | ICLR | Efficient Subgraph GNNs by Learning Effective Selection Policies. | Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron |
| 2024 | ICLR | MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning. | S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro |
| 2024 | UAI | Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions. | Mai Elkady, Thu Bui, Bruno Ribeiro, David I. Inouye |
| 2024 | SIGCOMM | Transferable Neural WAN TE for Changing Topologies. | Abd AlRhman AlQiam, Yuanjun Yao, Zhaodong Wang, Satyajeet Singh Ahuja, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani |
| 2023 | CBMS | Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data. | Isabel Curioso, Bruno Ribeiro, Pedro Matias, Ricardo Santos, Joana Sousa, Joo Ferreira, Hugo Gamboa, David Belo |
| 2023 | DCAI | Federated Genetic Programming: A Study About the Effects of Non-IID and Federation Size. | Bruno Ribeiro, Luis Gomes, Ricardo Faia, Zita Vale |
| 2023 | EACL | INCOGNITUS: A Toolbox for Automated Clinical Notes Anonymization. | Bruno Ribeiro, Vitor Rolla, Ricardo Santos |
| 2023 | EPIA | Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery. | Bruno Ribeiro, Isabel Curioso, Ricardo Santos, Federico Guede-Fernndez, Pedro Coelho, Jorge Santos, Jos Fragata, Ana Londral, Ins Sousa |
| 2023 | EPIA | A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic Programming. | Bruno Ribeiro, Luis Gomes, Zita Vale |
| 2023 | ICLR | Effective passive membership inference attacks in federated learning against overparameterized models. | Jiacheng Li, Ninghui Li, Bruno Ribeiro |
| 2023 | ISCC | Evaluation of a Collision Prediction System for VRUs Using V2X and Machine Learning: Intersection Collision Avoidance for Motorcycles. | Bruno Ribeiro, Alexandre J. T. Santos, Maria Joo Nicolau |
| 2023 | ITNAC | Digital Twin Migration using the OKD platform: A Use-Case for Emergency Vehicles. | Bruno Ribeiro, Pedro Gonalves, Paulo C. Bartolomeu |
| 2023 | PAAMS | Energy Community Integration of a Smart Home Based on an Open Source Multiagent System. | Bruno Ribeiro, Ricardo Faia, Luis Gomes, Zita Vale |
| 2023 | PAAMS | A Novel Framework for Multiagent Knowledge-Based Federated Learning Systems. | Bruno Ribeiro, Luis Gomes, Rafael Barbarroxa, Zita Vale |
| 2023 | SAC | Machine Learning for VRUs accidents prediction using V2X data. | Bruno Ribeiro, Maria Joo Nicolau, Alexandre J. T. Santos |
| 2023 | SIGCOMM | Veritas: Answering Causal Queries from Video Streaming Traces. | Chandan Bothra, Jianfei Gao, Sanjay G. Rao, Bruno Ribeiro |
| 2022 | ICLR | Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks. | S. Chandra Mouli, Bruno Ribeiro |
| 2022 | ICML | On the Equivalence Between Temporal and Static Equivariant Graph Representations. | Jianfei Gao, Bruno Ribeiro |
| 2022 | SIGMETRICS | Xatu: Richer Neural Network Based Prediction for Video Streaming. | Yun Seong Nam, Jianfei Gao, Chandan Bothra, Ehab Ghabashneh, Sanjay G. Rao, Bruno Ribeiro, Jibin Zhan, Hui Zhang |
| 2021 | HCI | UX Researchers: Framing Brazilian's Perspectives. | Fernando Nobre Cavalcante, Bruno Ribeiro |
| 2021 | ICLR | Neural Networks for Learning Counterfactual G-Invariances from Single Environments. | S. Chandra Mouli, Bruno Ribeiro |
| 2021 | ICML | Size-Invariant Graph Representations for Graph Classification Extrapolations. | Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro |
| 2021 | ICML | A Collective Learning Framework to Boost GNN Expressiveness for Node Classification. | Mengyue Hang, Jennifer Neville, Bruno Ribeiro |
| 2021 | INDIN | Business Analytical Framework for the Manufacturing Industry. | Emanuel Lima, Roy Bayot, Paulo C. Brito, Nelson Rodrigues, Bruno Ribeiro, Nuno Lopes |
| 2021 | NDSS | Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms. | Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate |
| 2020 | AAAI | Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. | Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro |
| 2020 | GLOBECOM | Synthesizing Datasets with Security Threats for Vehicular Ad-Hoc Networks. | Fbio Gonalves, Bruno Ribeiro, scar Gama, Joo Santos, Antnio Costa, Bruno Dias, Maria Joo Nicolau, Joaquim Macedo, Alexandre J. T. Santos |
| 2020 | ICLR | On the Equivalence between Positional Node Embeddings and Structural Graph Representations. | Balasubramaniam Srinivasan, Bruno Ribeiro |
| 2020 | MOBICOM | Experience: towards automated customer issue resolution in cellular networks. | Amit Sheoran, Sonia Fahmy, Matthew Osinski, Chunyi Peng, Bruno Ribeiro, Jia Wang |
| 2020 | SIGCOMM | Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming. | Panchapakesan C. Sruthi, Sanjay G. Rao, Bruno Ribeiro |
| 2019 | ICLR | Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. | Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro |
| 2019 | ICML | Relational Pooling for Graph Representations. | Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro |
| 2019 | KDD | HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. | Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville |
| 2019 | SIGCSE | Curated Pathways to Innovation: Personalized CS Education to Promote Diversity. | Natalie Linnell, Phil Gonsalves, Mayank Kakodkar, Vanessa Martinez, Tim Urdan, Bruno Ribeiro, Janice Zdankus |
| 2019 | WoWMoM | Performance Analysis of Two Machine-to-Machine Architecture Types in Vehicular Communications. | Paulo Arajo, Alexandre J. T. Santos, Antnio Costa, Fbio Gonalves, Bruno Ribeiro, Vadym Hapanchak, scar Gama, Bruno Dias, Joaquim Macedo, Maria Joo Nicolau |
| 2018 | AAAI | Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. | Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville |
| 2018 | AAAI | From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. | Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro |
| 2018 | ICDM | Graph Pattern Mining and Learning through User-Defined Relations. | Carlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro, Wagner Meira Jr. |
| 2018 | ICWSM | On Group Popularity Prediction in Event-Based Social Networks. | Guangyu Li, Yong Liu, Bruno Ribeiro, Hao Ding |
| 2018 | MSWIM | PlaSA - Platooning Service Architecture. | Bruno Ribeiro, Fbio Gonalves, Vadym Hapanchak, scar Gama, Sara Barros, Paulo Arajo, Antnio Costa, Maria Joo Nicolau, Bruno Dias, Joaquim Macedo, Alexandre J. T. Santos |
| 2018 | MSWIM | Secure Management of Autonomous Vehicle Platooning. | Fbio Gonalves, Bruno Ribeiro, Vadym Hapanchak, Sara Barros, scar Gama, Paulo Arajo, Maria Joo Nicolau, Bruno Dias, Joaquim Macedo, Antnio Costa, Alexandre J. T. Santos |
| 2018 | SIGCOMM | Oboe: auto-tuning video ABR algorithms to network conditions. | Zahaib Akhtar, Yun Seong Nam, Ramesh Govindan, Sanjay G. Rao, Jessica Chen, Ethan Katz-Bassett, Bruno Ribeiro, Jibin Zhan, Hui Zhang |
| 2018 | SIGCOMM | Tracking Groups in Mobile Network Traces. | Kun Tu, Bruno Ribeiro, Ananthram Swami, Don Towsley |
| 2018 | SSDBM | SBG-sketch: a self-balanced sketch for labeled-graph stream summarization. | Mohamed S. Hassan, Bruno Ribeiro, Walid G. Aref |
| 2017 | FNC | A New Approach on Communications Architectures for Intelligent Transportation Systems. | Susana Sousa, Alexandre J. T. Santos, Antnio Costa, Bruno Dias, Bruno Ribeiro, Fbio Gonalves, Joaquim Macedo, Maria Joo Nicolau, scar Gama |
| 2017 | ICWSM | Should We Be Confident in Peer Effects Estimated From Social Network Crawls? | Jiasen Yang, Bruno Ribeiro, Jennifer Neville |
| 2016 | HealthCom | Wireless indoor low power tracking system for elderly people assistance in an urban environment. | Gabriele Di Simone, Antonio Pietrosanto, Antnio Esprito-Santo, Bruno Ribeiro, Vincenzo Paciello |
| 2016 | WWW | TribeFlow: Mining & Predicting User Trajectories. | Flavio Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos |
| 2015 | WWW | Challenges of Forecasting and Measuring a Complex Networked World. | Bruno Ribeiro |
| 2015 | WWW | Beyond Models: Forecasting Complex Network Processes Directly from Data. | Bruno Ribeiro, Minh X. Hoang, Ambuj K. Singh |
| 2015 | WSDM | Modeling Website Popularity Competition in the Attention-Activity Marketplace. | Bruno Ribeiro, Christos Faloutsos |
| 2014 | WWW | Modeling and predicting the growth and death of membership-based websites. | Bruno Ribeiro |
| 2011 | FIE | Work in progress - Computer science perspectives on integration with human-centered design. | Michael Herold, Aaron Ganci, Bruno Ribeiro, Rajiv Ramnath, R. Brian Stone |