Search Results for author: Chao Ren

Found 21 papers, 9 papers with code

Federated Model Heterogeneous Matryoshka Representation Learning

no code implementations1 Jun 2024 Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

(2) The fused representation is then used to construct Matryoshka representations with multi-dimensional and multi-granular embedded representations learned by the global homogeneous model header and the local heterogeneous model header.

Federated Learning Representation Learning

Joint Radar Sensing, Location, and Communication Resources Optimization in 6G Network

no code implementations28 May 2024 Haijun Zhang, Bowen Chen, Xiangnan Liu, Chao Ren

In the communication phase, a subcarrier allocation method based on subcarrier weights is proposed.

pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning

1 code implementation27 Apr 2024 Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

2) An iterative training strategy is designed to alternately train the global homogeneous small feature extractor and the local heterogeneous large model for effective global-local knowledge exchange.

Personalized Federated Learning

Advances and Open Challenges in Federated Learning with Foundation Models

no code implementations23 Apr 2024 Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang

The integration of Foundation Models (FMs) with Federated Learning (FL) presents a transformative paradigm in Artificial Intelligence (AI), offering enhanced capabilities while addressing concerns of privacy, data decentralization, and computational efficiency.

Computational Efficiency Federated Learning +1

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

3 code implementations16 Apr 2024 Bin Ren, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, ZhengJun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Barsoum Emad, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, YuHan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking.

Image Super-Resolution

Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks

no code implementations14 Mar 2024 Yulan Gao, Chao Ren, Han Yu

In the rapidly advancing field of federated learning (FL), ensuring efficient FL task delegation while incentivising FL client participation poses significant challenges, especially in wireless networks where FL participants' coverage is limited.

Fairness Federated Learning

pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

1 code implementation2 Feb 2024 Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

It assigns a shared homogeneous small feature extractor and a local gating network for each client's local heterogeneous large model.

Personalized Federated Learning

Unsupervised Blind Image Deblurring Based on Self-Enhancement

no code implementations CVPR 2024 Lufei Chen, Xiangpeng Tian, Shuhua Xiong, Yinjie Lei, Chao Ren

To ensure the generated blurry images are closer to the real blurry images we propose a novel re-degradation principal component consistency loss which enforces the principal components of the generated low-quality images to be similar to those of re-degraded images from the original sharp ones.

Blind Image Deblurring Image Deblurring

Multi-task Image Restoration Guided By Robust DINO Features

no code implementations4 Dec 2023 Xin Lin, Chao Ren, Kelvin C. K. Chan, Lu Qi, Jinshan Pan, Ming-Hsuan Yang

Multi-task image restoration has gained significant interest due to its inherent versatility and efficiency compared to its single-task counterpart.

Image Restoration

Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

1 code implementation ICCV 2023 Xin Lin, Chao Ren, Xiao Liu, Jie Huang, Yinjie Lei

Although unsupervised approaches based on generative adversarial networks offer a promising solution for denoising without paired datasets, they are difficult in surpassing the performance limitations of conventional GAN-based unsupervised frameworks without significantly modifying existing structures or increasing the computational complexity of denoisers.

Image Denoising

Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images

no code implementations10 Aug 2023 Yanteng Zhang, Qizhi Teng, Xiaohai He, Tong Niu, Lipei Zhang, Yan Liu, Chao Ren

Structural MRI and PET imaging play an important role in the diagnosis of Alzheimer's disease (AD), showing the morphological changes and glucose metabolism changes in the brain respectively.

Random Sub-Samples Generation for Self-Supervised Real Image Denoising

1 code implementation ICCV 2023 Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren

With sufficient paired training samples, the supervised deep learning methods have attracted much attention in image denoising because of their superior performance.

Image Denoising

Towards Quantum Federated Learning

no code implementations16 Jun 2023 Chao Ren, Han Yu, Rudai Yan, Minrui Xu, Yuan Shen, Huihui Zhu, Dusit Niyato, Zhao Yang Dong, Leong Chuan Kwek

This review serves as a first-of-its-kind comprehensive guide for researchers and practitioners interested in understanding and advancing the field of QFL.

Federated Learning

Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation

1 code implementation CVPR 2023 Yuwei Yang, Munawar Hayat, Zhao Jin, Chao Ren, Yinjie Lei

Despite the significant recent progress made on 3D point cloud semantic segmentation, the current methods require training data for all classes at once, and are not suitable for real-life scenarios where new categories are being continuously discovered.

Class-Incremental Semantic Segmentation

Adaptive Consistency Prior Based Deep Network for Image Denoising

1 code implementation CVPR 2021 Chao Ren, Xiaohai He, Chuncheng Wang, Zhibo Zhao

To solve this problem, we propose a novel model-based denoising method to inform the design of our denoising network.

Image Denoising

Multi-resolution Outlier Pooling for Sorghum Classification

no code implementations10 Jun 2021 Chao Ren, Justin Dulay, Gregory Rolwes, Duke Pauli, Nadia Shakoor, Abby Stylianou

Automated high throughput plant phenotyping involves leveraging sensors, such as RGB, thermal and hyperspectral cameras (among others), to make large scale and rapid measurements of the physical properties of plants for the purpose of better understanding the difference between crops and facilitating rapid plant breeding programs.

Plant Phenotyping

Real-World Single Image Super-Resolution: A Brief Review

1 code implementation3 Mar 2021 Honggang Chen, Xiaohai He, Linbo Qing, Yuanyuan Wu, Chao Ren, Ce Zhu

More specifically, this review covers the critical publically available datasets and assessment metrics for RSISR, and four major categories of RSISR methods, namely the degradation modeling-based RSISR, image pairs-based RSISR, domain translation-based RSISR, and self-learning-based RSISR.

Computational Efficiency Image Super-Resolution +2

Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis

no code implementations27 Jan 2021 Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen

Clinical diagnosis, which aims to assign diagnosis codes for a patient based on the clinical note, plays an essential role in clinical decision-making.

Decision Making

CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks

no code implementations19 Sep 2017 Honggang Chen, Xiaohai He, Chao Ren, Linbo Qing, Qizhi Teng

Experiments on compressed images produced by JPEG (we take the JPEG as an example in this paper) demonstrate that the proposed CISRDCNN yields state-of-the-art SR performance on commonly used test images and imagesets.

Image Super-Resolution

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