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2020 – today
- 2024
[i7]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers. CoRR abs/2409.12610 (2024)- 2023
- [j3]Shengxi Li
, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal GAN Through Characteristic Functions (RCF-GAN). IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2246-2263 (2023) - 2021
- [j2]Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A Universal Framework for Learning the Elliptical Mixture Model. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3181-3195 (2021) - 2020
- [j1]Lifei Wang, Rui Nie, Zeyang Yu, Ruyue Xin, Caihong Zheng, Zhang Zhang, Jiang Zhang, Jun Cai:
An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data. Nat. Mach. Intell. 2(11): 693-703 (2020) - [c3]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold. AAAI 2020: 4658-4666 - [c2]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal Adversarial Learning via Characteristic Functions. NeurIPS 2020 - [i6]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal Adversarial Learning via Characteristic Functions. CoRR abs/2006.08413 (2020)
2010 – 2019
- 2019
- [c1]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. ICANN (1) 2019: 339-350 - [i5]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:
Artificial Intelligence for Prosthetics - challenge solutions. CoRR abs/1902.02441 (2019) - [i4]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. CoRR abs/1903.02014 (2019) - [i3]Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic:
Tucker Tensor Layer in Fully Connected Neural Networks. CoRR abs/1903.06133 (2019) - [i2]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
A general solver to the elliptical mixture model through an approximate Wasserstein manifold. CoRR abs/1906.03700 (2019) - 2018
- [i1]Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A universal framework for learning based on the elliptical mixture model (EMM). CoRR abs/1805.08045 (2018)
Coauthor Index
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