| 2023 | CEC | A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization. | Anastasiia Filatova, Mikhail V. Kovalchuk, Stanislav Batalenkov, Aleksander Voskresenskiy, Irina Deeva, Anna V. Kaluzhnaya, Aleksei Shpilman, Natalia Kondrashova, Maxim Dudnichenko, Denis A. Nasonov |
| 2020 | ICMLA | Automatic generation of reviews of scientific papers. | Anna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman |
| 2019 | Redundancy | End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box. | Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman |
| 2019 | Redundancy | MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning. | Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman |
| 2018 | ICARCV | Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data. | Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman |
| 2018 | ICARCV | Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation. | Ivan Sosin, Daniel Kudenko, Aleksei Shpilman |
| 2018 | ICMLA | A Comparative Evaluation of Machine Learning Methods for Robot Navigation Through Human Crowds. | Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman |
| 2017 | ICMLA | Deep Learning of Cell Classification Using Microscope Images of Intracellular Microtubule Networks. | Aleksei Shpilman, Dmitry Boikiy, Marina Polyakova, Daniel Kudenko, Anton Burakov, Elena Nadezhdina |