Xu, Zhenghua

10 publications

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

AAAI 2022 Reverse Differentiation via Predictive Coding Tommaso Salvatori, Yuhang Song, Zhenghua Xu, 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

AAAI 2021 Detecting Beneficial Feature Interactions for Recommender Systems Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu

CVPR 2021 RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu

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

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

AAAI 2019 Diversity-Driven Extensible Hierarchical Reinforcement Learning Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu

IJCAI 2017 Tag-Aware Personalized Recommendation Using a Hybrid Deep Model Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng