1 code implementation • 7 Feb 2024 • Jinghui Lu, Ziwei Yang, Yanjie Wang, Xuejing Liu, Brian Mac Namee, Can Huang
In this study, we aim to reduce generation latency for Named Entity Recognition (NER) with Large Language Models (LLMs).
1 code implementation • ICCV 2023 • Longrong Yang, Xianpan Zhou, XueWei Li, Liang Qiao, Zheyang Li, Ziwei Yang, Gaoang Wang, Xi Li
Thus, the optimum of the distillation loss does not necessarily lead to the optimal student classification scores for dense object detectors.
no code implementations • 17 Aug 2023 • Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai
Precision medicine fundamentally aims to establish causality between dysregulated biochemical mechanisms and cancer subtypes.
no code implementations • 2 Mar 2023 • Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
Various attribution methods have been developed to explain deep neural networks (DNNs) by inferring the attribution/importance/contribution score of each input variable to the final output.
no code implementations • 20 Jul 2022 • Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, MD Altaf-Ul-Amin
As such, existing methods often impose unrealistic assumptions to extract useful features from the data while avoiding overfitting to spurious correlations.
1 code implementation • 22 Jun 2022 • Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
Cancer subtyping is crucial for understanding the nature of tumors and providing suitable therapy.
no code implementations • 21 Apr 2022 • Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
A spiking neural network (SNN) based tier is designed to distill the principle information in terms of spike-streams from the rare features, which maintains the temporal implication in the nature of EEGs.
no code implementations • 7 Apr 2022 • Zheng Chen, Ziwei Yang, Lingwei Zhu, Wei Chen, Toshiyo Tamura, Naoaki Ono, MD Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
This paper proposes a novel framework for automatically capturing the time-frequency nature of electroencephalogram (EEG) signals of human sleep based on the authoritative sleep medicine guidance.
no code implementations • 2 Apr 2022 • Lingwei Zhu, Koki Odani, Ziwei Yang, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang
Recently there has seen promising results on automatic stage scoring by extracting spatio-temporal features from electroencephalogram (EEG).
no code implementations • 2 Apr 2022 • Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, MD Altaf-Ul-Amin, Shigehiko Kanaya
In this paper, we propose to investigate automatic subtyping from an unsupervised learning perspective by directly constructing the underlying data distribution itself, hence sufficient data can be generated to alleviate the issue of overfitting.
1 code implementation • 12 Aug 2021 • Ziwei Yang, Ruyi Zhang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
One-shot neural architecture search (NAS) applies weight-sharing supernet to reduce the unaffordable computation overhead of automated architecture designing.
1 code implementation • 12 Aug 2021 • Ruyi Zhang, Ziwei Yang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
To alleviate this problem, we propose a novel framework to train an accuracy predictor under few training samples.