Yuhang Song
Biography
I am a DPhil candidate in Computer Science at the University of Oxford, doing interdisciplinary research between Artificial Intelligence and Neural Science, supervised by Professor Thomas Lukasiewicz in Intelligent Systems Lab, Professor Rafal Bogacz in Brain Network Dynamics Unit. Before that, I receive my Bachelor's degree at Beihang University, China. I was a research visitor during summer 2017 with Professor Michael L. Littman in HCRI Lab. For more information on Yuhang Song, move to my new homepage.
Selected Publications
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Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi−Task Learning.
Yuhang Song‚ Mai Xu and Songyang Zhang.
In Proceedings of the 32nd Annual Conference on Neural Information Processing Systems‚ Deep RL Symposium‚ NIPS 2018‚ Montreal‚ Canada.. December, 2018..
Details about Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi−Task Learning. | BibTeX data for Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi−Task Learning.
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Associative Memories in the Feature Space
Tommaso Salvatori‚ Beren Millidge‚ Yuhang Song‚ Rafal Bogacz and Thomas Lukasiewicz
In Proceedings of the 26th European Conference on Artificial Intelligence‚ ECAI 2023‚ Kraków‚ Poland‚ September 30 – October 5‚ 2023. IOS Press. September, 2023.
Details about Associative Memories in the Feature Space | BibTeX data for Associative Memories in the Feature Space
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Backpropagation at the Infinitesimal Inference Limit of Energy−Based Models: Unifying Predictive Coding‚ Equilibrium Propagation‚ and Contrastive Hebbian Learning
Beren Millidge‚ Yuhang Song‚ Tommaso Salvatori‚ Thomas Lukasiewicz and Rafal Bogacz
In Proceedings of the 11th International Conference on Learning Representations‚ ICLR 2023‚ Kigali‚ Rwanda‚ 1–5 May 2023. OpenReview.net. May, 2023.
Details about Backpropagation at the Infinitesimal Inference Limit of Energy−Based Models: Unifying Predictive Coding‚ Equilibrium Propagation‚ and Contrastive Hebbian Learning | BibTeX data for Backpropagation at the Infinitesimal Inference Limit of Energy−Based Models: Unifying Predictive Coding‚ Equilibrium Propagation‚ and Contrastive Hebbian Learning | Link to Backpropagation at the Infinitesimal Inference Limit of Energy−Based Models: Unifying Predictive Coding‚ Equilibrium Propagation‚ and Contrastive Hebbian Learning