1 code implementation • 16 Dec 2023 • Aodong Chen, Fei Xu, Li Han, Yuan Dong, Li Chen, Zhi Zhou, Fangming Liu
GPUs have become the defacto hardware devices to accelerate Deep Neural Network (DNN) inference in deep learning(DL) frameworks.
no code implementations • 20 Oct 2023 • Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
Federated Learning (FL) is a distributed learning paradigm that can coordinate heterogeneous edge devices to perform model training without sharing private data.
1 code implementation • 18 Sep 2023 • Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yu-Feng Li
In this paper, we propose PEL, a fine-tuning method that can effectively adapt pre-trained models to long-tailed recognition tasks in fewer than 20 epochs without the need for extra data.
Ranked #1 on Long-tail Learning on CIFAR-100-LT (ρ=10) (using extra training data)
Fine-Grained Image Classification Long-tail learning with class descriptors
no code implementations • 23 Aug 2023 • Yongcheng Dai, Bangti Jin, Ramesh Sau, Zhi Zhou
In this work, we investigate a neural network based solver for optimal control problems (without / with box constraint) for linear and semilinear second-order elliptic problems.
no code implementations • 4 Jul 2023 • Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou
Graph Neural Networks (GNNs) have gained growing interest in miscellaneous applications owing to their outstanding ability in extracting latent representation on graph structures.
no code implementations • 22 Apr 2023 • Huirong Ma, Zhi Zhou, Xiaoxi Zhang, Xu Chen
Provisioning dynamic machine learning (ML) inference as a service for artificial intelligence (AI) applications of edge devices faces many challenges, including the trade-off among accuracy loss, carbon emission, and unknown future costs.
1 code implementation • 18 Apr 2023 • Siyu Cen, Bangti Jin, Kwancheol Shin, Zhi Zhou
Electrical impedance tomography (EIT) is a noninvasive medical imaging modality utilizing the current-density/voltage data measured on the surface of the subject.
1 code implementation • 29 Mar 2023 • Bangti Jin, Xiyao Li, Qimeng Quan, Zhi Zhou
In this work we develop a novel approach using deep neural networks to reconstruct the conductivity distribution in elliptic problems from one measurement of the solution over the whole domain.
no code implementations • 16 Jan 2023 • Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang
Federated learning (FL) is a promising paradigm that enables collaboratively learning a shared model across massive clients while keeping the training data locally.
no code implementations • 31 Oct 2022 • Liekang Zeng, Chongyu Yang, Peng Huang, Zhi Zhou, Shuai Yu, Xu Chen
Edge intelligence has arisen as a promising computing paradigm for supporting miscellaneous smart applications that rely on machine learning techniques.
1 code implementation • 7 Sep 2022 • Tianhao Hu, Bangti Jin, Zhi Zhou
Extensive numerical experiments in two- and multi-dimensional spaces with point sources, line sources or their combinations are presented to illustrate the efficiency of the proposed approach, and a comparative study with several existing approaches based on neural networks is also given, which shows clearly its competitiveness for the specific class of problems.
4 code implementations • 12 Aug 2022 • Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, RenJie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
We further provide the pre-trained versions of the state-of-the-art neural models for CV tasks to make the cost affordable for further tuning.
1 code implementation • 9 Aug 2022 • Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
The second part shows the usage of LAMDA-SSL by abundant examples in detail.
no code implementations • 12 Feb 2022 • Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
Semi-supervised learning (SSL) is the branch of machine learning that aims to improve learning performance by leveraging unlabeled data when labels are insufficient.
no code implementations • 25 Dec 2021 • Peng Huang, Liekang Zeng, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu
With the wide penetration of smart robots in multifarious fields, Simultaneous Localization and Mapping (SLAM) technique in robotics has attracted growing attention in the community.
no code implementations • NeurIPS 2021 • Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yu-Feng Li, ShiLiang Pu
However, in many real-world applications, it is desirable to have SSL algorithms that not only classify the samples drawn from the same distribution of labeled data but also detect out-of-distribution (OOD) samples drawn from an unknown distribution.
Out-of-Distribution Detection Out of Distribution (OOD) Detection
no code implementations • 21 Jan 2021 • Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen, Junshan Zhang
To meet the ever increasing mobile traffic demand in 5G era, base stations (BSs) have been densely deployed in radio access networks (RANs) to increase the network coverage and capacity.
1 code implementation • 14 Dec 2020 • Qiong Wu, Xu Chen, Zhi Zhou, Junshan Zhang
In this paper, we propose FedHome, a novel cloud-edge based federated learning framework for in-home health monitoring, which learns a shared global model in the cloud from multiple homes at the network edges and achieves data privacy protection by keeping user data locally.
no code implementations • 6 Dec 2020 • Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang
CoEdge utilizes available computation and communication resources at the edge and dynamically partitions the DNN inference workload adaptive to devices' computing capabilities and network conditions.
no code implementations • 22 Sep 2020 • Shuai Yu, Xu Chen, Zhi Zhou, Xiaowen Gong, Di wu
Ultra-dense edge computing (UDEC) has great potential, especially in the 5G era, but it still faces challenges in its current solutions, such as the lack of: i) efficient utilization of multiple 5G resources (e. g., computation, communication, storage and service resources); ii) low overhead offloading decision making and resource allocation strategies; and iii) privacy and security protection schemes.
no code implementations • 17 Jul 2020 • Georgios Akrivis, Minghua Chen, Fan Yu, Zhi Zhou
In combination with the Grenander--Szeg\"o theorem, we observe that a relaxed positivity condition on multipliers, milder than the basic %fundamental requirement of the Nevanlinna--Odeh multipliers that the sum of the absolute values of their components is strictly less than $1$, makes the energy technique applicable to the stability analysis of BDF methods for parabolic equations with selfadjoint elliptic part.
Numerical Analysis Numerical Analysis
no code implementations • 22 Mar 2020 • Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling
We develop a novel \textit{hybrid parallelism} method, which is the key to HierTrain, to adaptively assign the DNN model layers and the data samples across the three levels of edge device, edge server and cloud center.
no code implementations • 9 Mar 2020 • Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, Liang Chen
Accordingly, we further propose a novel autonomous content placement mechanism CP-GAN which adopts the generative adversarial network (GAN) for agile placement decision making to reduce the content access latency and enhance users' QoE.
no code implementations • 26 Feb 2020 • Siqi Luo, Xu Chen, Qiong Wu, Zhi Zhou, Shuai Yu
We further formulate a joint computation and communication resource allocation and edge association problem for device users under HFEL framework to achieve global cost minimization.
Distributed, Parallel, and Cluster Computing
no code implementations • 4 Oct 2019 • En Li, Liekang Zeng, Zhi Zhou, Xu Chen
As a key technology of enabling Artificial Intelligence (AI) applications in 5G era, Deep Neural Networks (DNNs) have quickly attracted widespread attention.
1 code implementation • Nature Communicationsvolume 10, Article number: 3474 (2019) 2019 • Yimin Wang, Qi Li, Li-Juan Liu, Zhi Zhou, Zongcai Ruan, Lingsheng Kong, Yaoyao Li, Yun Wang, Ning Zhong, Renjie Chai, Xiangfeng Luo, Yike Guo, Michael Hawrylycz, Qingming Luo, Zhongze Gu, Wei Xie, Hongkui Zeng, Hanchuan Peng
Neuron morphology is recognized as a key determinant of cell type, yet the quantitative profiling of a mammalian neuron’s complete three-dimensional (3-D) morphology remains arduous when the neuron has complex arborization and long projection.
no code implementations • 24 May 2019 • Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
To this end, we conduct a comprehensive survey of the recent research efforts on edge intelligence.
no code implementations • 14 Sep 2018 • Tao Ouyang, Zhi Zhou, Xu Chen
To address this challenge in terms of the performance-cost trade-off, in this paper we study the mobile edge service performance optimization problem under long-term cost budget constraint.
no code implementations • 20 Jun 2018 • En Li, Zhi Zhou, Xu Chen
As the backbone technology of machine learning, deep neural networks (DNNs) have have quickly ascended to the spotlight.