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20062023
most citedDeep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

539 citations · 1.1k across the 28 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.NI2022★ 21 cited

IRS-Assisted RF-powered IoT Networks:System Modeling and Performance Analysis

Hongguang Sun, Zelun Zhao, Hu Cheng +4

Emerged as a promising solution for future wireless communication systems, intelligent reflecting surface (IRS) is capable of reconfiguring the wireless propagation environment by…

cs.CV2022

Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images

Yan Zhang, Xiyuan Gao, Qingyan Duan +3

Very high-resolution (VHR) remote sensing (RS) image classification is the fundamental task for RS image analysis and understanding. Recently, transformer-based models demonstrated…

cs.CL2022

Analyzing and Evaluating Faithfulness in Dialogue Summarization

Bin Wang, Chen Zhang, Yan Zhang +2

Dialogue summarization is abstractive in nature, making it suffer from factual errors. The factual correctness of summaries has the highest priority before practical applications.…

cs.NI2022

Optimal Dynamic Orchestration in NDN-based Computing Networks

Hao Feng, Yi Zhang, Srikathyayani Srikanteswara +4

Named Data Networking (NDN) offers promising advantages in deploying next-generation service applications over distributed computing networks. We consider the problem of dynamic or…

physics.med-ph2022★ 2 cited

SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction

Xiang Chen, Wenjun Xia, Ziyuan Yang +4

Spectral computed tomography (CT) is an emerging technology, that generates a multienergy attenuation map for the interior of an object and extends the traditional image volume int…

cs.LG2022

Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models

Liu Zhendong, Wenyu Jiang, Yi Zhang +1

With the rapid development of eXplainable Artificial Intelligence (XAI), a long line of past work has shown concerns about the Out-of-Distribution (OOD) problem in perturbation-bas…