Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method. - Yuhang Song 001; Mai Xu; Shengxi Li (DCC, 2017)

Summable Reparameterizations of Wasserstein Critics in the One-Dimensional Setting. - Christopher Grimm; Yuhang Song 001; Michael L. Littman (CoRR, 2017)

Learning Approximate Stochastic Transition Models. - Yuhang Song 001; Christopher Grimm; Xianming Wang; Michael L. Littman (CoRR, 2017)

Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning. - Yuhang Song 001; Mai Xu; Songyang Zhang; Liangyu Huo (CoRR, 2017)

Modeling Attention in Panoramic Video: A Deep Reinforcement Learning Approach. - Yuhang Song 001; Mai Xu; Minglang Qiao; Jianyi Wang; Liangyu Huo; Zulin Wang (CoRR, 2017)

Diversity-Driven Extensible Hierarchical Reinforcement Learning. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Mai Xu (AAAI, 2019)

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Shangtong Zhang; Mai Xu (CoRR, 2019)

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Mai Xu; Zihan Ding; Lianlong Wu (CoRR, 2019)

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach. - Mai Xu; Yuhang Song 001; Jianyi Wang; Minglang Qiao; Liangyu Huo; Zulin Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Yuhang Song 001; Andrzej Wojcicki; Thomas Lukasiewicz; Jianyi Wang; Abi Aryan; Zhenghua Xu 001; Mai Xu; Zihan Ding; Lianlong Wu (AAAI, 2020)

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Shangtong Zhang; Andrzej Wojcicki; Mai Xu (AAAI, 2020)

Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video. - Jianyi Wang; Xin Deng 002; Mai Xu; Congyong Chen; Yuhang Song 001 (ECCV (14), 2020)

Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions. - Liangyu Huo; Zulin Wang; Mai Xu; Yuhang Song 001 (ICASSP, 2020)

Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. - Yuhang Song 001; Thomas Lukasiewicz; Zhenghua Xu 001; Rafal Bogacz (NeurIPS, 2020)

Zeroth-Order Supervised Policy Improvement. - Hao Sun; Ziping Xu; Yuhang Song 001; Meng Fang; Jiechao Xiong; Bo Dai 002; Zhengyou Zhang; Bolei Zhou (CoRR, 2020)

LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution. - Xin Deng 002; Hao Wang; Mai Xu; Yichen Guo; Yuhang Song 001; Li Yang 014 (CVPR, 2021)

Associative Memories via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Yujian Hong; Lei Sha; Simon Frieder; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2021)

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. - Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz; Zhenghua Xu 001 (CoRR, 2021)

Predictive Coding Can Do Exact Backpropagation on Any Neural Network. - Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz; Zhenghua Xu 001 (CoRR, 2021)

Attention-Based Deep Reinforcement Learning for Virtual Cinematography of 360$^{ circ}$ Videos. - Jianyi Wang; Mai Xu; Lai Jiang; Yuhang Song 001 (IEEE Trans. Multim., 2021)

Predictive coding inspires effective alternatives to backpropagation. - Yuhang Song 001 (2021)

Reverse Differentiation via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Zhenghua Xu 001; Thomas Lukasiewicz; Rafal Bogacz (AAAI, 2022)

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. - Beren Millidge; Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz (ICML, 2022)

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? - Beren Millidge; Tommaso Salvatori; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (IJCAI, 2022)

Predictive Coding beyond Gaussian Distributions. - Luca Pinchetti; Tommaso Salvatori; Yordan Yordanov; Beren Millidge; Yuhang Song 001; Thomas Lukasiewicz (NeurIPS, 2022)

Learning on Arbitrary Graph Topologies via Predictive Coding. - Tommaso Salvatori; Luca Pinchetti; Beren Millidge; Yuhang Song 001; Tianyi Bao; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2022)

Learning on Arbitrary Graph Topologies via Predictive Coding. - Tommaso Salvatori; Luca Pinchetti; Beren Millidge; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (CoRR, 2022)

Bird-Eye Transformers for Text Generation Models. - Lei Sha; Yuhang Song 001; Yordan Yordanov; Tommaso Salvatori; Thomas Lukasiewicz (CoRR, 2022)

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. - Tommaso Salvatori; Yuhang Song 001; Beren Millidge; Zhenghua Xu 001; Lei Sha; Cornelius Emde; Rafal Bogacz; Thomas Lukasiewicz (CoRR, 2022)

MW-GAN+ for Perceptual Quality Enhancement on Compressed Video. - Jianyi Wang; Mai Xu; Xin Deng 002; Liquan Shen; Yuhang Song 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Associative Memories in the Feature Space. - Tommaso Salvatori; Beren Millidge; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (ECAI, 2023)

Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. - Beren Millidge; Yuhang Song 001; Tommaso Salvatori; Thomas Lukasiewicz; Rafal Bogacz (ICLR, 2023)

A Theoretical Framework for Inference and Learning in Predictive Coding Networks. - Beren Millidge; Yuhang Song 001; Tommaso Salvatori; Thomas Lukasiewicz; Rafal Bogacz (ICLR, 2023)

Recurrent predictive coding models for associative memory employing covariance learning. - Mufeng Tang; Tommaso Salvatori; Beren Millidge; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz (PLoS Comput. Biol., 2023)

A Task-Agnostic Regularizer for Diverse Subpolicy Discovery in Hierarchical Reinforcement Learning. - Liangyu Huo; Zulin Wang; Mai Xu; Yuhang Song 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. - Tommaso Salvatori; Yuhang Song 001; Yordan Yordanov; Beren Millidge; Lei Sha; Cornelius Emde; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (ICLR, 2024)

Reward Bases: A simple mechanism for adaptive acquisition of multiple reward types. - Beren Millidge; Yuhang Song 001; Armin Lak; Mark E. Walton; Rafal Bogacz (PLoS Comput. Biol., 2024)