| 2023 | ISCAS | Predictive Integrators with Thermal Noise Cancellation. | Joo Xavier, David Leonardo, Pedro Barquinha, Joo Goes |
| 2022 | ACSSC | Harvesting Curvatures for Communication-Efficient Distributed Optimization. | Diogo Cardoso, Boyue Li, Yuejie Chi, Joo Xavier |
| 2016 | ACSSC | Thermodynamic limit of interacting particle systems over dynamical networks. | Augusto Almeida Santos, Soummya Kar, Jos M. F. Moura, Joo Xavier |
| 2016 | ACSSC | Computationally efficient learning in large-scale games: Sampled fictitious play revisited. | Brian Swenson, Soummya Kar, Joo Xavier |
| 2015 | ACSSC | On asynchronous implementations of fictitious play for distributed learning. | Brian Swenson, Soummya Kar, Joo Xavier |
| 2015 | ISIT | Selecting observers for source localization via error exponents. | Sabina Zejnilovic, Joo Xavier, Joo Gomes, Bruno Sinopoli |
| 2014 | ACSSC | Game-theoretic learning in a distributed-information setting: Distributed convergence to mean-centric equilibria. | Brian Swenson, Soummya Kar, Joo Xavier |
| 2014 | ICASSP | Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates. | Dusan Jakovetic, Joo Xavier, Jos M. F. Moura |
| 2005 | ICRA | Fast Line, Arc/Circle and Leg Detection from Laser Scan Data in a Player Driver. | Joo Xavier, Marco Pacheco, Daniel Castro, Antnio E. B. Ruano, Urbano Nunes |