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ORCIDYuhang Song 0001
Person information
- affiliation: University of Oxford, Department of Computer Science, Oxford, UK
- affiliation (2017-2018): Brown University, Department of Computer Science, Providence, RI, USA
- affiliation (2014-2018): Beihang University, Department of Electronic Information Engineering, Beijing, China
Other persons with the same name
- Yuhang Song — disambiguation page
- Yuhang Song 0002 — Changchun University of Science and Technology, China
- Yuhang Song 0003
![[0000-0003-4990-2964]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4990-2964")
— University of Southern California, Los Angeles, CA, USA - Yuhang Song 0004 — Xinjiang University, School of Software, Urumqi, China
- Yuhang Song 0005 — Mininglamp Academy of Sciences, Beijing, China
- Yuhang Song 0006 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Yuhang Song 0007 — Anhui University of Finance and Economics, Bengbu, China
- Yuhang Song 0008 — University of Liverpool, UK
- Yuhang Song 0009 — Harbin Institute of Technology, China
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2020 – today
- 2024
[c18]Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR 2024- [i22]Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories in the Feature Space. CoRR abs/2402.10814 (2024) - 2023
- [j5]Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. 19(4) (2023) - [j4]Liangyu Huo, Zulin Wang, Mai Xu, Yuhang Song:
A Task-Agnostic Regularizer for Diverse Subpolicy Discovery in Hierarchical Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1932-1944 (2023) - [c17]Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories in the Feature Space. ECAI 2023: 2065-2072 - [c16]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR 2023 - [c15]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR 2023 - 2022
- [j3]Jianyi Wang, Mai Xu, Xin Deng, Liquan Shen, Yuhang Song:
MW-GAN+ for Perceptual Quality Enhancement on Compressed Video. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4224-4237 (2022) - [c14]Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz:
Reverse Differentiation via Predictive Coding. AAAI 2022: 8150-8158 - [c13]Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML 2022: 15561-15583 - [c12]Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI 2022: 5538-5545 - [c11]Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz:
Predictive Coding beyond Gaussian Distributions. NeurIPS 2022 - [c10]Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz:
Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS 2022 - [i21]Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR abs/2201.13180 (2022) - [i20]Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR abs/2202.04557 (2022) - [i19]Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR abs/2202.09467 (2022) - [i18]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR abs/2206.02629 (2022) - [i17]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR abs/2207.12316 (2022) - [i16]Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz:
Bird-Eye Transformers for Text Generation Models. CoRR abs/2210.03985 (2022) - [i15]Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz:
Predictive Coding beyond Gaussian Distributions. CoRR abs/2211.03481 (2022) - [i14]Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz:
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR abs/2212.00720 (2022) - 2021
- [b1]Yuhang Song:
Predictive coding inspires effective alternatives to backpropagation. University of Oxford, UK, 2021 - [j2]Jianyi Wang, Mai Xu, Lai Jiang, Yuhang Song:
Attention-Based Deep Reinforcement Learning for Virtual Cinematography of 360$^{\circ}$ Videos. IEEE Trans. Multim. 23: 3227-3238 (2021) - [c9]Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang:
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution. CVPR 2021: 9189-9198 - [c8]Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. NeurIPS 2021: 3874-3886 - [i13]Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu:
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR abs/2103.03725 (2021) - [i12]Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu:
Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR abs/2103.04689 (2021) - [i11]Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. CoRR abs/2109.08063 (2021) - 2020
- [c7]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu:
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. AAAI 2020: 5826-5833 - [c6]Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. AAAI 2020: 7253-7260 - [c5]Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song:
Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video. ECCV (14) 2020: 405-421 - [c4]Liangyu Huo, Zulin Wang, Mai Xu, Yuhang Song:
Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions. ICASSP 2020: 3932-3936 - [c3]Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz:
Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS 2020 - [i10]Hao Sun, Ziping Xu, Yuhang Song, Meng Fang, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou:
Zeroth-Order Supervised Policy Improvement. CoRR abs/2006.06600 (2020) - [i9]Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song:
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video. CoRR abs/2008.00499 (2020)
2010 – 2019
- 2019
- [j1]Mai Xu, Yuhang Song, Jianyi Wang, Minglang Qiao, Liangyu Huo, Zulin Wang:
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2693-2708 (2019) - [c2]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019: 4992-4999 - [i8]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Mai Xu:
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. CoRR abs/1905.04640 (2019) - [i7]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. CoRR abs/1905.08085 (2019) - 2018
- [i6]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. CoRR abs/1811.04324 (2018) - 2017
- [c1]Yuhang Song, Mai Xu, Shengxi Li:
Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method. DCC 2017: 461 - [i5]Christopher Grimm, Yuhang Song, Michael L. Littman:
Summable Reparameterizations of Wasserstein Critics in the One-Dimensional Setting. CoRR abs/1709.06533 (2017) - [i4]Yuhang Song, Christopher Grimm, Xianming Wang, Michael L. Littman:
Learning Approximate Stochastic Transition Models. CoRR abs/1710.09718 (2017) - [i3]Yuhang Song, Mai Xu, Shengxi Li:
Watching Videos with Certain and Constant Quality: PID-based Quality Control Method. CoRR abs/1710.09980 (2017) - [i2]Yuhang Song, Mai Xu, Songyang Zhang, Liangyu Huo:
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning. CoRR abs/1710.10036 (2017) - [i1]Yuhang Song, Mai Xu, Minglang Qiao, Jianyi Wang, Liangyu Huo, Zulin Wang:
Modeling Attention in Panoramic Video: A Deep Reinforcement Learning Approach. CoRR abs/1710.10755 (2017)
Coauthor Index
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