Jason Liang

Publications & Patents

Reverse chronological. 2,845 citations · h-index 18 · i10-index 24 on Google Scholar. Each entry links to the source.

Papers

  1. 2026 Caesar: Deep Agentic Web Exploration for Creative Answer Synthesis Liang, Meyerson, Miikkulainen. Preprint, under review at NeurIPS 2026.
  2. 2025 Self-Transcendence: Achieving AGI via Chaotic Dynamics and Thermodynamic Attractors Liang. TechRxiv preprint. Position paper on AGI through non-equilibrium thermodynamics.
  3. 2025 The Next Frontier in AI: Multi-Agent Systems Hodjat, Singh, Liang, Qiu. NVIDIA GTC 2025 Conference Talk.
  4. 2024 Asynchronous Evolution of Deep Neural Network Architectures Liang, Shahrzad, Miikkulainen. Applied Soft Computing, Vol. 152, 111209.
  5. 2021 Regularized Evolutionary Population-Based Training Liang, Gonzalez, Shahrzad, Miikkulainen. GECCO 2021, pp. 323–331.
  6. 2021 Training Stacked Denoising Autoencoders for Representation Learning Liang, Kelly. arXiv:2102.08012.
  7. 2020 Discovering Gated Recurrent Neural Network Architectures Rawal, Liang, Miikkulainen. Deep Neural Evolution, Springer, pp. 233–251.
  8. 2019 Evolutionary Neural AutoML for Deep Learning Liang, Meyerson, Hodjat, Fink, Mutch, Miikkulainen. GECCO 2019, pp. 401–409.
  9. 2018 Evolutionary Architecture Search for Deep Multitask Networks Liang, Meyerson, Miikkulainen. GECCO 2018, pp. 466–473. Introduces CoDeepNEAT.
  10. 2018 Evolving Deep Neural Networks Liang, Miikkulainen, Meyerson, Rawal, Fink, Francon, Raju, et al. In AI in the Age of Neural Networks and Brain Computing.
    1,544 citations.
  11. 2018 Evolution Is the New Deep Learning Miikkulainen, Hodjat, Qiu, Liang, Meyerson, Rawal, Shahrzad. ACM SIGEVOlution, Vol. 11, No. 1, pp. 3–7.
  12. 2018 Evolutionary Neural Architecture Search for Deep Learning Liang. Ph.D. Thesis, The University of Texas at Austin.
  13. 2017 Evolutionary Optimization of Walk Engine Controllers and Robot Morphology for Bipedal Running MacAlpine, Liang, Stone. RoboCup symposium.
  14. 2016 UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions MacAlpine, Hanna, Liang, Stone. RoboCup-2015: Robot Soccer World Cup XIX, pp. 118–131.
  15. 2015 Evolutionary Bilevel Optimization for Complex Control Tasks Liang, Miikkulainen. GECCO 2015, pp. 871–878.
  16. 2015 Image-Based Positioning of Mobile Devices in Indoor Environments Liang, Corso, Turner, Zakhor. In Multimodal Location Estimation of Videos and Images, Springer, pp. 85–99.
  17. 2015 UT Austin Villa: A Machine Learning Approach for Kicking and Passing MacAlpine, Hanna, Liang, Stone. RoboCup 2015.
  18. 2015 Evolutionary Bilevel Optimization for Complex Control Problems and Blackbox Function Optimization Liang. Master's Thesis, The University of Texas at Austin.
  19. 2013 Image-Based Localization in Indoor Environments Liang, Corso, Turner, Zakhor. IEEE COM.Geo 2013, pp. 70–75.
  20. 2013 Reduced-Complexity Data Acquisition System for Image-Based Localization in Indoor Environments Liang, Corso, Turner, Zakhor. IEEE IPIN 2013, pp. 1–9.

Patents

  1. 2022 US 11,507,844 B2: Asynchronous Evaluation Strategy for Evolution of Deep Neural Networks Liang, Shahrzad, Hodjat, Miikkulainen.
  2. 2021 US 11,030,529 B2: Evolution of Architectures for Multitask Neural Networks Liang, Meyerson, Miikkulainen.
  3. 2021 US 11,003,994 B2: Evolutionary Architectures for Evolution of Deep Neural Networks Liang, Meyerson, Miikkulainen.
  4. 2023 US App. 17/389,961: System and Method for Regularized Evolutionary Population-Based Training Liang, Miikkulainen, Shahrzad, Gonzalez.
  5. 2022 US App. 17/064,706: Method and System for Sharing Meta-Learning Method(s) Among Multiple Private Data Sets Fink, Liang, Miikkulainen.
  6. 2020 US App. 16/671,274: Multiobjective Coevolution of Deep Neural Network Architectures Liang, Meyerson, Miikkulainen.
  7. 2018 US App. 15/794,913: Cooperative Evolution of Deep Neural Network Structures Liang, Miikkulainen.
  8. 2018 US App. 15/794,905: Evolution of Deep Neural Network Structures Liang, Miikkulainen.