Song, Yuhang

21 publications

TMLR 2025 Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention Jiaxu Liu, Xinping Yi, Xiangyu Yin, Yuhang Song, Gaojie Jin, Xiaowei Huang
ICLR 2024 A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
ICLR 2023 A Theoretical Framework for Inference and Learning in Predictive Coding Networks Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
ICLR 2023 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, Rafal Bogacz
ACML 2023 Learning to Terminate in Object Navigation Yuhang Song, Anh Nguyen, Chun-Yi Lee
NeurIPS 2022 Learning on Arbitrary Graph Topologies via Predictive Coding Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
NeurIPS 2022 Predictive Coding Beyond Gaussian Distributions Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
IJCAI 2022 Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation? Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
AAAI 2022 Reverse Differentiation via Predictive Coding Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
ICML 2022 Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
NeurIPS 2021 Associative Memories via Predictive Coding Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
CVPR 2021 LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang
AAAI 2020 Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu
AAAI 2020 AutoRemover: Automatic Object Removal for Autonomous Driving Videos Rong Zhang, Wei Li, Peng Wang, Chenye Guan, Jin Fang, Yuhang Song, Jinhui Yu, Baoquan Chen, Weiwei Xu, Ruigang Yang
NeurIPS 2020 Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz
AAAI 2020 Mega-Reward: Achieving Human-Level Play Without Extrinsic Rewards Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu
ECCV 2020 Multi-Level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song
AAAI 2019 Diversity-Driven Extensible Hierarchical Reinforcement Learning Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
ECCV 2018 Contextual-Based Image Inpainting: Infer, Match, and Translate Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, C.-C. Jay Kuo
ECCVW 2018 Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis Xiaofeng Liu, Yang Zou, Yuhang Song, Chao Yang, Jane You, B. V. K. Vijaya Kumar
WACV 2018 Unsupervised Clustering Guided Semantic Segmentation Qin Huang, Chunyang Xia, Siyang Li, Ye Wang, Yuhang Song, C.-C. Jay Kuo