| Open x-embodiment: Robotic learning datasets and rt-x models JJ Lim IEEE International Conference on Robotics and Automation, 2024 | 577* | 2024 |
| Neuroevolution of self-interpretable agents Y Tang, D Nguyen, D Ha Proceedings of the 2020 genetic and evolutionary computation conference, 414-424, 2020 | 144 | 2020 |
| Evolutionary optimization of model merging recipes T Akiba, M Shing, Y Tang, Q Sun, D Ha Nature Machine Intelligence, 1-10, 2025 | 100 | 2025 |
| Collective intelligence for deep learning: A survey of recent developments D Ha, Y Tang Collective Intelligence 1 (1), 26339137221114874, 2022 | 98 | 2022 |
| The sensory neuron as a transformer: Permutation-invariant neural networks for reinforcement learning Y Tang, D Ha Advances in Neural Information Processing Systems 34, 22574-22587, 2021 | 96 | 2021 |
| Sequence-to-sequence model with attention for time series classification Y Tang, J Xu, K Matsumoto, C Ono 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 65 | 2016 |
| Saytap: Language to quadrupedal locomotion Y Tang, W Yu, J Tan, H Zen, A Faust, T Harada Conference on Robot Learning, 2023 | 57* | 2023 |
| Evojax: Hardware-accelerated neuroevolution Y Tang, Y Tian, D Ha Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 54 | 2022 |
| Large language models as evolution strategies R Lange, Y Tian, Y Tang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | 37 | 2024 |
| Evolving modular soft robots without explicit inter-module communication using local self-attention F Pigozzi, Y Tang, E Medvet, D Ha Proceedings of the Genetic and Evolutionary Computation Conference, 148-157, 2022 | 33 | 2022 |
| User authentication on smart phones using a data mining method Y Tang, N Hidenori, Y Urano 2010 International Conference on Information Society, 173-178, 2010 | 22 | 2010 |
| Learning agile locomotion via adversarial training Y Tang, J Tan, T Harada 2020 IEEE/RSJ International Conference On Intelligent Robots And Systems …, 2020 | 17 | 2020 |
| Learning to generalize with object-centric agents in the open world survival game crafter A Stanić, Y Tang, D Ha, J Schmidhuber IEEE Transactions on Games, 2023 | 14 | 2023 |
| Detecting activities of daily living from low frequency power consumption data Y Tang, C Ono Proceedings of the 13th International Conference on Mobile and Ubiquitous …, 2016 | 10 | 2016 |
| Evolution transformer: In-context evolutionary optimization R Lange, Y Tian, Y Tang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | 8 | 2024 |
| Position: Leverage foundational models for black-box optimization X Song, Y Tian, RT Lange, C Lee, Y Tang, Y Chen arXiv preprint arXiv:2405.03547, 2024 | 7 | 2024 |
| Position paper: Leveraging foundational models for black-box optimization: Benefits, challenges, and future directions X Song, Y Tian, R Tjarko Lange, C Lee, Y Tang, Y Chen arXiv e-prints, arXiv: 2405.03547, 2024 | 7 | 2024 |
| Neuroevobench: Benchmarking evolutionary optimizers for deep learning applications R Lange, Y Tang, Y Tian Advances in Neural Information Processing Systems 36, 32160-32172, 2023 | 7 | 2023 |
| Effects of objective feedback of facial expression recognition during video support chat J Wu, T Hagiya, Y Tang, K Hoashi Proceedings of the 16th International Conference on Mobile and Ubiquitous …, 2017 | 6 | 2017 |
| Deir: efficient and robust exploration through discriminative-model-based episodic intrinsic rewards S Wan, Y Tang, Y Tian, T Kaneko arXiv preprint arXiv:2304.10770, 2023 | 5 | 2023 |
David HaSakana AI在 sakana.ai 的电子邮件经过验证
