2019
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Yang Song (宋飏) Leading Strategic Explorations team at OpenAI. Incoming Assistant Professor, Electrical Engineering and Computing + Mathematical Sciences, California Institute of Technology (Caltech).
Yang Song. Other names ... Score-Based Generative Modeling through Stochastic Differential Equations. Y Song, J Sohl-Dickstein, DP Kingma, A Kumar, S Ermon, B Poole. International Conference on Learning Representations, 2021. 3738: 2021: Generative modeling by estimating gradients of the data distribution. Y Song, S Ermon. Advances in Neural Information Processing Systems, 11918-11930, 2019. 2689: 2019:
Song Yang is currently an associate professor in the School of Computer Science and Technology in Beijing Institute of Technology. He received his B.E. degree in Software Engineering and his Master of Engineering degree in Computer Application Technology from Dalian University of Technology in 2008 and 2010, respectively.
Professional Services. Organizer: NeurIPS 2022 Workshop on Score-Based Methods. Area Chair: CVPR (2023), NeurIPS (2023). Journal Reviewer: JRSS-B, JMLR, TMLR, IEEE TPAMI, ACM TKDD, Medical Image Analysis, IEEE TIFS, IEEE TNNLS, IEEE TDSC, IET CV.
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole. Score-Based Generative Modeling through Stochastic Differential Equations . ICLR 2021 (Outstanding Paper Award)
Articles 1–20. Google Research - Machine Intelligence - Cited by 15,862 - Information Retrieval - Machine Learning - Recommender Systems - Deep Learning - Search Engines.
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral) - yang-song/score_sde
Yang Song. J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Proceedings of the IEEE conference on computer vision and pattern …. Proceedings of the IEEE/CVF conference on computer vision and pattern …. G Van Horn, O Mac Aodha, Y Song, Y Cui, C Sun, A Shepard, H Adam, ...
Articles 1–20. PhD, University of Auckland - Cited by 328 - Deep Learning - Spatio-temporal Data Mining - Medical Image Analysis.
I have joined Kuaishou (HK.1024) as the Head of Recommendation (VP of Engineering) since June 2020, overseeing both core modeling and data mining teams. I manage and lead 100+ engineers and scientists to develop machine learning models that power Kuaishou's recommendation and ads engines in all major services, including domestic products ( ...
