248 citations · 278 across the 10 of their papers we have counts for
11 papers
Einstein Probe discovery of the magnetar EP J223759.5+531421
N. Rea, F. Coti Zelati, A. Borghese +44
We report the discovery and early outburst evolution of the new Galactic magnetar EP J223759.5+531421, detected by the Einstein Probe Wide-field X-ray Telescope on 2026 June 28. Fo…
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark
Huan Zheng, Zhao Zhang, Jicong Fan +3
Low-light stereo image enhancement (LLSIE) is a relatively new task to enhance the quality of visually unpleasant stereo images captured in dark condition. However, current methods…
A Survey on Incomplete Multi-view Clustering
Jie Wen, Zheng Zhang, Lunke Fei +4
Conventional multi-view clustering seeks to partition data into respective groups based on the assumption that all views are fully observed. However, in practical applications, suc…
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization
Yangcheng Gao, Zhao Zhang, Richang Hong +3
To obtain lower inference latency and less memory footprint of deep neural networks, model quantization has been widely employed in deep model deployment, by converting the floatin…
A Simple Approach to Automated Spectral Clustering
Jicong Fan, Yiheng Tu, Zhao Zhang +2
The performance of spectral clustering heavily relies on the quality of affinity matrix. A variety of affinity-matrix-construction (AMC) methods have been proposed but they have hy…
Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis
Jicong Fan, Lijun Ding, Chengrun Yang +2
The nuclear norm and Schatten- quasi-norm are popular rank proxies in low-rank matrix recovery. However, computing the nuclear norm or Schatten- quasi-norm of a tensor is har…
Convolutional Neural Network Training with Distributed K-FAC
J. Gregory Pauloski, Zhao Zhang, Lei Huang +2
Training neural networks with many processors can reduce time-to-solution; however, it is challenging to maintain convergence and efficiency at large scales. The Kronecker-factored…
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition
Dong Yang, Monica Mengqi Li, Hong Fu +3
Combining skeleton structure with graph convolutional networks has achieved remarkable performance in human action recognition. Since current research focuses on designing basic gr…
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier
Zhao Zhang, Weiming Jiang, Jie Qin +4
In this paper, we propose an analysis mechanism based structured Analysis Discriminative Dictionary Learning (ADDL) framework. ADDL seamlessly integrates the analysis discriminativ…
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
Zhao Zhang, Weiming Jiang, Zheng Zhang +3
We propose a novel structured discriminative block-diagonal dictionary learning method, referred to as scalable Locality-Constrained Projective Dictionary Learning (LC-PDL), for ef…
Concurrency Protocol Aiming at High Performance of Execution and Replay for Smart Contracts
Shuaifeng Pang, Xiaodong Qi, Zhao Zhang +2
Although the emergence of the programmable smart contract makes blockchain systems easily embrace a wider range of industrial areas, how to execute smart contracts efficiently beco…