Zeyang Yu

14 papers A* 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning framework for crater detection and identification on the Moon and Mars.
CoRR
Yihan Ma, Zeyang Yu, Rohitash Chandra
2024 J jnl
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers.
CoRR
Zeyang Yu, Shengxi Li, Danilo P. Mandic
2023 J jnl
Reciprocal GAN Through Characteristic Functions (RCF-GAN).
IEEE Trans. Pattern Anal. Mach. Intell.
Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic
2021 J jnl
A Universal Framework for Learning the Elliptical Mixture Model.
IEEE Trans. Neural Networks Learn. Syst.
Shengxi Li, Zeyang Yu, Danilo P. Mandic
2020 J jnl
An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data.
Nat. Mach. Intell.
Lifei Wang, Rui Nie, Zeyang Yu, Ruyue Xin, Caihong Zheng, Zhang Zhang, Jiang Zhang, Jun Cai
2020 A* conf
Reciprocal Adversarial Learning via Characteristic Functions.
NeurIPS
Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic
2020 J jnl
Reciprocal Adversarial Learning via Characteristic Functions.
CoRR
Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic
2020 A* conf
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold.
AAAI
Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic
2019 J jnl
A general solver to the elliptical mixture model through an approximate Wasserstein manifold.
CoRR
Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic
2019 J jnl
Artificial Intelligence for Prosthetics - challenge solutions.
CoRR
Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hongsheng 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
2019 J jnl
Tucker Tensor Layer in Fully Connected Neural Networks.
CoRR
Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic
2019 — conf
Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models.
ICANN (1)
Zeyang Yu, Shengxi Li, Danilo P. Mandic
2019 J jnl
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models.
CoRR
Zeyang Yu, Shengxi Li, Danilo P. Mandic
2018 J jnl
A universal framework for learning based on the elliptical mixture model (EMM).
CoRR
Shengxi Li, Zeyang Yu, Danilo P. Mandic