216 citations · 560 across the 31 of their papers we have counts for
32 papers
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification
Zhuo Li, He Zhao, Zhen Li +3
Real-world datasets usually are class-imbalanced and corrupted by label noise. To solve the joint issue of long-tailed distribution and label noise, most previous works usually aim…
Entanglement islands and cutoff branes from path-integral optimization
Ashish Chandra, Zhengjiang Li, Qiang Wen
Recently it was proposed that, the AdS/BCFT correspondence can be simulated by a holographic Weyl transformed CFT, where the cut-off brane plays the role of the Karch-Randall (…
Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers
Zhen Li, Ruqian Zhang, Deqing Zou +5
Deep learning has been widely used in source code classification tasks, such as code classification according to their functionalities, code authorship attribution, and vulnerabili…
Islands on codim-2 branes in Gauss-Bonnet Gravity
Zhengjiang Li, Zekai Hong
We study the black hole information problem on codim-2 branes in Gauss-Bonnet gravity. Thanks to the island surface ending on the brane, the Page curve of eternal black holes can b…
Formation Control with Unknown Directions and General Coupling Coefficients
Zhen Li, Yang Tang, Yongqing Fan +1
Generally, the normal displacement-based formation control has a sensing mode that requires the agent not only to have certain knowledge of its direction, but also to gather its lo…
Deep Learning based Forecasting: a case study from the online fashion industry
Manuel Kunz, Stefan Birr, Mones Raslan +13
Demand forecasting in the online fashion industry is particularly amendable to global, data-driven forecasting models because of the industry's set of particular challenges. These…
Hierarchical Weight Averaging for Deep Neural Networks
Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang +4
Despite the simplicity, stochastic gradient descent (SGD)-like algorithms are successful in training deep neural networks (DNNs). Among various attempts to improve SGD, weight aver…
Adaptive Context Selection for Polyp Segmentation
Ruifei Zhang, Guanbin Li, Zhen Li +3
Accurate polyp segmentation is of great significance for the diagnosis and treatment of colorectal cancer. However, it has always been very challenging due to the diverse shape and…
Safety-centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges
Zheng Li, Mauricio Pradena Miquel, Pedro Pinacho-Davidson
Despite the fact that outside is becoming the frontier of indoor workplaces, a large amount of real-world work like road construction has to be done by outdoor human activities in…
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation
Yuncheng Jiang, Zixun Zhang, Shixi Qin +3
In 3D medical image segmentation, small targets segmentation is crucial for diagnosis but still faces challenges. In this paper, we propose the Axis Projection Attention UNet, name…
Identification of the decay pathway of photoexcited nucleobases
Xiangxu Mu, Ming Zhang, Jiechao Feng +6
The identification of the decay pathway of the nucleobase uracil after being photoexcited by ultraviolet (UV) light has been a long standing problem. Various theoretical models hav…
Towards Reproducible Evaluations for Flying Drone Controllers in Virtual Environments
Zheng Li, Yiming Huang, Yui-Pan Yau +2
Research attention on natural user interfaces (NUIs) for drone flights are rising. Nevertheless, NUIs are highly diversified, and primarily evaluated by different physical environm…
Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
Weijie Ma, Ye Zhu, Ruimao Zhang +4
The colorectal polyps classification is a critical clinical examination. To improve the classification accuracy, most computer-aided diagnosis algorithms recognize colorectal polyp…
A Unified Understanding of Deep NLP Models for Text Classification
Zhen Li, Xiting Wang, Weikai Yang +6
The rapid development of deep natural language processing (NLP) models for text classification has led to an urgent need for a unified understanding of these models proposed indivi…
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
Jie Yang, Ye Zhu, Chaoqun Wang +2
Integrating multi-modal data to promote medical image analysis has recently gained great attention. This paper presents a novel scheme to learn the mutual benefits of different mod…
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Jie Yang +8
Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampe…
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
Jinpeng Hu, Zhuo Li, Zhihong Chen +3
The impression section of a radiology report summarizes the most prominent observation from the findings section and is the most important section for radiologists to communicate t…
Selective quantum Zeno effect of ultracold atom-molecule scattering in dynamic magnetic fields
Hanwei Yang, Zunqi Li, Songbin Zhang +6
We demonstrated that final states of ultracold scattering between atom and molecule can be selectively produced using dynamic magnetic fields of multiple frequencies. The mechanism…
Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
Lufei Gao, Ruisong Zhou, Changfeng Dong +4
With the development of radiomics, noninvasive diagnosis like ultrasound (US) imaging plays a very important role in automatic liver fibrosis diagnosis (ALFD). Due to the noisy dat…
Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network
Haibo Su, Peng Wang, Lingqiao Liu +3
Fashion products typically feature in compositions of a variety of styles at different clothing parts. In order to distinguish images of different fashion products, we need to extr…
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Yuanfeng Ji, Ruimao Zhang, Zhen Li +3
Aggregating multi-level feature representation plays a critical role in achieving robust volumetric medical image segmentation, which is important for the auxiliary diagnosis and t…
IllumiNet: Transferring Illumination from Planar Surfaces to Virtual Objects in Augmented Reality
Di Xu, Zhen Li, Yanning Zhang +1
This paper presents an illumination estimation method for virtual objects in real environment by learning. While previous works tackled this problem by reconstructing high dynamic…
Diagnosing Concept Drift with Visual Analytics
Weikai Yang, Zhen Li, Mengchen Liu +4
Concept drift is a phenomenon in which the distribution of a data stream changes over time in unforeseen ways, causing prediction models built on historical data to become inaccura…
A Redistribution Tool for Long-Term Archive of Astronomical Observation Data
Chao Sun, Ce Yu, Chenzhou Cui +5
Astronomical observation data require long-term preservation, and the rapid accumulation of observation data makes it necessary to consider the cost of long-term archive storage. I…