Yuhang Song

Orcid: 0000-0002-7999-0291

Affiliations:
  • University of Oxford, Department of Computer Science, Oxford, UK
  • Brown University, Department of Computer Science, Providence, RI, USA (2017-2018)
  • Beihang University, Department of Electronic Information Engineering, Beijing, China (2014-2018)


According to our database1, Yuhang Song authored at least 36 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
A Task-Agnostic Regularizer for Diverse Subpolicy Discovery in Hierarchical Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Recurrent predictive coding models for associative memory employing covariance learning.
PLoS Comput. Biol., 2023

A Theoretical Framework for Inference and Learning in Predictive Coding Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Associative Memories in the Feature Space.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
MW-GAN+ for Perceptual Quality Enhancement on Compressed Video.
IEEE Trans. Circuits Syst. Video Technol., 2022

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm.
CoRR, 2022

Bird-Eye Transformers for Text Generation Models.
CoRR, 2022

Learning on Arbitrary Graph Topologies via Predictive Coding.
CoRR, 2022

Learning on Arbitrary Graph Topologies via Predictive Coding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predictive Coding beyond Gaussian Distributions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models.
Proceedings of the International Conference on Machine Learning, 2022

Reverse Differentiation via Predictive Coding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Predictive coding inspires effective alternatives to backpropagation.
PhD thesis, 2021

Attention-Based Deep Reinforcement Learning for Virtual Cinematography of 360$^{\circ}$ Videos.
IEEE Trans. Multim., 2021

Predictive Coding Can Do Exact Backpropagation on Any Neural Network.
CoRR, 2021

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks.
CoRR, 2021

Associative Memories via Predictive Coding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Zeroth-Order Supervised Policy Improvement.
CoRR, 2020

Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video.
Proceedings of the Computer Vision - ECCV 2020, 2020

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.
CoRR, 2019

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards.
CoRR, 2019

Diversity-Driven Extensible Hierarchical Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
Modeling Attention in Panoramic Video: A Deep Reinforcement Learning Approach.
CoRR, 2017

Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning.
CoRR, 2017

Learning Approximate Stochastic Transition Models.
CoRR, 2017

Summable Reparameterizations of Wasserstein Critics in the One-Dimensional Setting.
CoRR, 2017

Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method.
Proceedings of the 2017 Data Compression Conference, 2017


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