Zeyang Yu

According to our database, Zeyang Yu authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Reciprocal GAN Through Characteristic Functions (RCF-GAN).

Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2021

A Universal Framework for Learning the Elliptical Mixture Model.

Shengxi Li, Zeyang Yu, Danilo P. Mandic

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data.

Lifei Wang, Rui Nie, Zeyang Yu, Ruyue Xin, Caihong Zheng, Zhang Zhang, Jiang Zhang, Jun Cai

Nat. Mach. Intell., 2020

Reciprocal Adversarial Learning via Characteristic Functions.

Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold.

Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A general solver to the elliptical mixture model through an approximate Wasserstein manifold.

Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic

CoRR, 2019

Tucker Tensor Layer in Fully Connected Neural Networks.

Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic

CoRR, 2019

Artificial Intelligence for Prosthetics - challenge solutions.

Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp

CoRR, 2019

Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models.

Zeyang Yu, Shengxi Li, Danilo P. Mandic

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

A universal framework for learning based on the elliptical mixture model (EMM).

Shengxi Li, Zeyang Yu, Danilo P. Mandic

CoRR, 2018