Search Results for author: Yihao Li

Found 19 papers, 4 papers with code

An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration

no code implementations7 Feb 2024 Yihao Li, Ru Zhang, Jianyi Liu, Gongshen Liu

While Large Language Models (LLMs) demonstrate exceptional performance in a multitude of Natural Language Processing (NLP) tasks, they encounter challenges in practical applications, including issues with hallucinations, inadequate knowledge updating, and limited transparency in the reasoning process.

Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction

1 code implementation8 Jan 2024 Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho

As for Task 3 (prediction of spherical equivalent), we have designed a deep regression model based on the data distribution of the dataset and employed an integration strategy to enhance the model's prediction accuracy.

Classification Contrastive Learning +3

VeryFL: A Verify Federated Learning Framework Embedded with Blockchain

1 code implementation27 Nov 2023 Yihao Li, Yanyi Lai, Chuan Chen, Zibin Zheng

These mechanism on blockchain shows an underlying support of blockchain for federated learning to provide a verifiable training, aggregation and incentive distribution procedure and thus we named this framework VeryFL (A Verify Federated Learninig Framework Embedded with Blockchain).

Federated Learning

Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform

no code implementations27 Nov 2023 Yihao Li, Yanyi Lai, Tianchi Liao, Chuan Chen, Zibin Zheng

By using the model watermarking technology, we point out the possibility of building a unified platform for model ownership verification.

FIRST: A Million-Entry Dataset for Text-Driven Fashion Synthesis and Design

no code implementations13 Nov 2023 Zhen Huang, Yihao Li, Dong Pei, Jiapeng Zhou, Xuliang Ning, Jianlin Han, Xiaoguang Han, Xuejun Chen

Text-driven fashion synthesis and design is an extremely valuable part of artificial intelligence generative content(AIGC), which has the potential to propel a tremendous revolution in the traditional fashion industry.

Fashion Synthesis

LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image

no code implementations16 Oct 2023 Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le boite, Ramin Tadayoni, Pascal Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard

Our framework, Longitudinal Mixing Training (LMT), can be considered both as a regularizer and as a pretext task that encodes the disease progression in the latent space.

Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation

no code implementations16 Oct 2023 Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascal Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard

In recent years, a novel class of algorithms has emerged with the goal of learning disease progression in a self-supervised manner, using either pairs of consecutive images or time series of images.

Self-Supervised Learning

Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation

no code implementations15 Mar 2023 Fuhui Zhou, Yihao Li, Ming Xu, Lu Yuan, Qihui Wu, Rose Qingyang Hu, Naofal Al-Dhahir

Extensive simulation results conducted on a public dataset demonstrate that our proposed single-user and multi-user cognitive semantic communication systems are superior to benchmark communication systems in terms of the data compression rate and communication reliability.

Data Compression

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images

no code implementations18 Nov 2022 Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt

Then 3D nnU-Net architecture was adopted to automatic segmentation of primary tumor and lymph nodes synchronously. Based on predicted segmentation, ten conventional features and 346 standardized radiomics features were extracted for each patient.

Segmentation

Multimodal Information Fusion for Glaucoma and DR Classification

no code implementations2 Sep 2022 Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Hassan Al Hajj, Sophie Bonnin, Hugang Ren, Niranchana Manivannan, Stephanie Magazzeni, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec

In recent years, multiple imaging techniques have been used in clinical practice for retinal analysis: 2D fundus photographs, 3D optical coherence tomography (OCT) and 3D OCT angiography, etc.

Classification

Cognitive Semantic Communication Systems Driven by Knowledge Graph

no code implementations24 Feb 2022 Fuhui Zhou, Yihao Li, Xinyuan Zhang, Qihui Wu, Xianfu Lei, Rose Qingyang Hu

Semantic communication is envisioned as a promising technique to break through the Shannon limit.

Data Compression

Lesion-Aware Transformers for Diabetic Retinopathy Grading

no code implementations CVPR 2021 Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang

First, to the best of our knowledge, this is the first work to formulate lesion discovery as a weakly supervised lesion localization problem via a transformer decoder.

Diabetic Retinopathy Grading

When is ACL's Deadline? A Scientific Conversational Agent

no code implementations23 Nov 2019 Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych

Our conversational agent UKP-ATHENA assists NLP researchers in finding and exploring scientific literature, identifying relevant authors, planning or post-processing conference visits, and preparing paper submissions using a unified interface based on natural language inputs and responses.

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