Search Results for author: Yuxuan Zhao

Found 12 papers, 4 papers with code

Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs)

no code implementations20 Oct 2023 Xiaoliang Chen, Liangbin Li, Le Chang, Yunhe Huang, Yuxuan Zhao, Yuxiao Zhang, Dinuo Li

To address these issues, it's suggested to diversify training data, fine-tune models, enhance transparency and interpretability, and incorporate ethics and fairness training.

Ethics Fairness +1

Brain-inspired bodily self-perception model for robot rubber hand illusion

no code implementations22 Mar 2023 Yuxuan Zhao, Enmeng Lu, Yi Zeng

Despite the conceptual descriptions of the mechanisms of bodily self-consciousness and the possible relevant brain areas, the existing theoretical models still lack an explanation of the computational mechanisms by which the brain encodes the perception of one's body and how our subjectively perceived body illusions can be generated by neural networks.

Optimal Sizing of Isolated Renewable Power Systems with Ammonia Synthesis: Model and Solution Approach

no code implementations10 Mar 2023 Zhipeng Yu, Jin Lin, Feng Liu, Jiarong Li, Yuxuan Zhao, Yonghua Song

However, multi-timescale electricity, hydrogen, and ammonia storages, minimum power supply for system safety, and the multi-year uncertainty of renewable generation lead to difficulties in planning.

A Comparative Study of Compartmental Models for COVID-19 Transmission in Ontario, Canada

1 code implementation24 Oct 2022 Yuxuan Zhao, Samuel W. K. Wong

The continued spread of the virus underlying COVID-19 has been spurred by the emergence of variants since the initial outbreak in December, 2019.

BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation

no code implementations18 Jul 2022 Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi

These brain-inspired AI models have been effectively validated on various supervised, unsupervised, and reinforcement learning tasks, and they can be used to enable AI models to be with multiple brain-inspired cognitive functions.

Decision Making

DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection

1 code implementation ICCV 2021 Limeng Qiao, Yuxuan Zhao, Zhiyuan Li, Xi Qiu, Jianan Wu, Chi Zhang

Few-shot object detection, which aims at detecting novel objects rapidly from extremely few annotated examples of previously unseen classes, has attracted significant research interest in the community.

Classification Few-Shot Object Detection +1

Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula

2 code implementations NeurIPS 2020 Yuxuan Zhao, Madeleine Udell

The time required to fit the model scales linearly with the number of rows and the number of columns in the dataset.

Imputation Matrix Completion +1

Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model

no code implementations29 Nov 2019 Yuxuan Zhao, Xinyan Cao, Jinlong Lin, Dunshan Yu, Xixin Cao

There has been an encouraging progress in the affective states recognition models based on the single-modality signals as electroencephalogram (EEG) signals or peripheral physiological signals in recent years.

EEG Electroencephalogram (EEG) +1

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