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2020 – today
- 2024
[j3]Lei Cheng, Tong Yu, Ruslan Khalitov, Zhirong Yang
:
Self-supervised Learning for DNA sequences with circular dilated convolutional networks. Neural Networks 171: 466-473 (2024)- [i5]Tong Yu, Lei Cheng, Ruslan Khalitov, Erland Brandser Olsson, Zhirong Yang:
Self-Distillation Improves DNA Sequence Inference. CoRR abs/2405.08538 (2024) - 2023
- [j2]Lei Cheng, Ruslan Khalitov, Tong Yu, Jing Zhang, Zhirong Yang:
Classification of long sequential data using circular dilated convolutional neural networks. Neurocomputing 518: 50-59 (2023) - [c2]Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length. ICLR 2023 - 2022
- [j1]Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
Sparse factorization of square matrices with application to neural attention modeling. Neural Networks 152: 160-168 (2022) - [c1]Tong Yu, Ruslan Khalitov, Lei Cheng, Zhirong Yang:
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention. CVPR 2022: 681-690 - [i4]Lei Cheng, Ruslan Khalitov, Tong Yu, Zhirong Yang:
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks. CoRR abs/2201.02143 (2022) - [i3]Tong Yu, Ruslan Khalitov, Lei Cheng, Zhirong Yang:
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention. CoRR abs/2204.10670 (2022) - [i2]Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths. CoRR abs/2206.05852 (2022) - 2021
- [i1]Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
Sparse Factorization of Large Square Matrices. CoRR abs/2109.08184 (2021)
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