105 citations · 328 across the 12 of their papers we have counts for
13 papers
ARcode: HPC Application Recognition Through Image-encoded Monitoring Data
Jie Li, Brandon Cook, Yong Chen
Knowing HPC applications of jobs and analyzing their performance behavior play important roles in system management and optimizations. The existing approaches detect and identify H…
Workload Failure Prediction for Data Centers
Jie Li, Rui Wang, Ghazanfar Ali +3
Failed workloads that consumed significant computational resources in time and space affect the efficiency of data centers significantly and thus limit the amount of scientific wor…
A Novel Improved Mask RCNN for Multiple Targets Detection in the Indoor Complex Scenes
Zongmin Liu, Jirui Wang, Jie Li +2
With the expansive aging of global population, service robot with living assistance applied in indoor scenes will serve as a crucial role in the field of elderly care and health in…
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Arpit Bansal, Eitan Borgnia, Hong-Min Chu +6
Standard diffusion models involve an image transform -- adding Gaussian noise -- and an image restoration operator that inverts this degradation. We observe that the generative beh…
Autonomous Smart Grid Fault Detection
Qiyue Li, Yuxing Deng, Xin Liu +4
Smart grid plays a crucial role for the smart society and the upcoming carbon neutral society. Achieving autonomous smart grid fault detection is critical for smart grid system sta…
6G Network AI Architecture for Everyone-Centric Customized Services
Yang Yang, Mulei Ma, Hequan Wu +51
Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to…
Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data
Feifei Huang, Jie Li, Xuelin Zhu
Deep convolution neural network has attracted many attentions in large-scale visual classification task, and achieves significant performance improvement compared to traditional vi…
3D Gated Recurrent Fusion for Semantic Scene Completion
Yu Liu, Jie Li, Qingsen Yan +4
This paper tackles the problem of data fusion in the semantic scene completion (SSC) task, which can simultaneously deal with semantic labeling and scene completion. RGB images con…
Boosting Real-Time Driving Scene Parsing with Shared Semantics
Zhenzhen Xiang, Anbo Bao, Jie Li +1
Real-time scene parsing is a fundamental feature for autonomous driving vehicles with multiple cameras. In this letter we demonstrate that sharing semantics between cameras with di…
Enhancement of Power Equipment Management Using Knowledge Graph
Yachen Tang, Tingting Liu, Guangyi Liu +3
Accurate retrieval of the power equipment information plays an important role in guiding the full-lifecycle management of power system assets. Because of data duplication, database…
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
Jia Yan, Jie Li, Xin Fu
No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image. However, contrast distortion has been overlooked in the current research o…
Learning to Fuse Things and Stuff
Jie Li, Allan Raventos, Arjun Bhargava +2
We propose an end-to-end learning approach for panoptic segmentation, a novel task unifying instance (things) and semantic (stuff) segmentation. Our model, TASCNet, uses feature ma…
A Fully-Distributed Asynchronous Approach for Multi-Area Coordinated Network-Constrained Unit Commitment
Yamin Wang, Lei Wu, Jie Li
This paper discusses a consensus-based alternating direction method of multipliers (ADMM) approach to solve the multi-area coordinated network-constrained unit commitment (NCUC) pr…