Lixing Song

• Ph.D., The University of Notre Dame, Computer Science and Engineering
• M.S., Ball State University, Computer Science
• B.E., Wuhan University, Electrical Engineer

• System Programming
• Computer Architecture
• Deep Reinforcement Learning

• Reinforcement Learning
• Self-supervised Learning
• Probabilistic Graphical Models
• Autonomous Driving
• Data-Driven Multidisciplinary Research

• Lixing Song, William Valentine, Qing Yang, Honggang Wang, Hua Fang, and Ye Liu. BB-Align: A lightweight pose recovery framework for vehicle-to-vehicle cooperative perception. In 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, Jersey City, NJ, USA, July 23-26, 2024, pages 1016–1026. IEEE, 2024. (doi:10.1109/ICDCS60910.2024.00098)
• Lixing Song, Luke Ferderer, and Shaoen Wu. Safe reinforcement learning for lidar-based navigation via control barrier function. In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), pages 264–269, 2022. (doi:10.1109/ICMLA55696.2022.00045)
• Lixing Song, Emir Halepovic, Alamin Mohammed, and Aaron Striegel. CUP: cellular ultra-light probe-based available bandwidth estimation. In 29th IEEE/ACM International Symposium on Quality of Service, IWQOS 2021, Tokyo, Japan, June 25-28, 2021, pages 1–11. IEEE, 2021. (doi:10.1109/IWQOS52092.2021.9521270)
• Lixing Song, Junheng Wang, and Junhong Xu. A data-efficient reinforcement learning method based on local Koopman operators. In 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021, pages 515–520. IEEE, 2021. (doi:10.1109/ICMLA52953.2021.00086)
• Daniel Yue Zhang, Lixing Song, Qi Li, Yang Zhang, and Dong Wang. Streamguard: A Bayesian network approach to copyright infringement detection problem in large-scale live video sharing systems. In IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018, pages 901–910, 2018. (doi:10.1109/BigData.2018.8622306)