I am a research engineer at Preferred Networks, Tokyo, Japan. I have been engaged in researching the power of AI technologies in the area of Japanese Anime/Game for over 5 years. My long-term goal is to revolutionize the Japanese Anime/Game industry. Meanwhile, as an entrepreneur, I founded Crypko.AI in 2017, which was acquired by Preferred Networks in late 2018.
Email: yanghuajin94 [at] gmail [dot] com
Surrogate Gradient Field for Latent Space Manipulation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Minjun Li*, Yanghua Jin*, Huachun Zhu (* Equal Contribution)
Amortized Nesterov’s Momentum: Robust and Lightweight Momentum for Deep Learning
The Conference on Uncertainty in Artificial Intelligence (UAI) 2020
Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks
Advances in Neural Information Processing Systems (NIPS) 2017 Workshop on Machine Learning for Creativity and Design (spotlight) Yanghua Jin, Jiakai Zhang, Minjun Li, Yingtao Tian, Huachun Zhu
Crypko: A New Workflow for Anime Character Creation
12th CODH Seminar (Online)
AI for Culture: From Japanese Art to Anime, NII ROIS-DS, Aug 05, 2020
Exploring the Anime Characters Creation with Generative Adversarial Networks
Deep Learning: Theory, Algorithms, and Applications, RikenAIP, Tokyo, Mar 19-22, 2018
Preferred Networks, Tokyo, Japan
2018.11 - present
Deep Learning R&D in the area of Japanese anime.
2017.12 - 2018.10
Building next-generation cryptocollectible game with GAN and Ethereum. Director, Machine Learning Development, Backend Development Currently, this project is acquired by Preferred Networks.
Fudan University, B.S. with honors in Computer Science, Shanghai, China
2013 - 2018