323 citations · 1.4k across the 42 of their papers we have counts for
46 papers
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu, Ning Xu, Jie Wang +1
Single-positive multi-label learning (SPMLL) is a typical weakly supervised multi-label learning problem, where each training example is annotated with only one positive label. Exi…
Oxidation kinetics and non-Marcusian charge transfer in dimensionally confined semiconductors
Ning Xu, Li Shi, Xudong Pei +8
Electrochemical reactions represent essential processes in fundamental chemistry that foster a wide range of applications. Although most electrochemical reactions in bulk substance…
Unraveling Intertwined Impacts between Lattice Vacancy and Substrate on Photonic Quasiparticles in Monolayer MoS
Ning Xu, Daocheng Hong, Xudong Pei +6
Lattice defects and interfacial absorbates represent two extrinsic but ubiquitous factors that exert profound impacts on the luminescent properties of semiconductors. However, thei…
Scalable Multiple Patterning Layout Decomposition Implemented by a Distribution Evolutionary Algorithm
Yu Chen, Yongjian Xu, Ning Xu
As the feature size of semiconductor technology shrinks to 10 nm and beyond, the multiple patterning lithography (MPL) attracts more attention from the industry. In this paper, we…
Stellar Populations in the Central 0.5 pc of Our Galaxy III: The Dynamical Sub-structures
Siyao Jia, Ningyuan Xu, Jessica R. Lu +12
We measure the 3D kinematic structures of the young stars within the central 0.5 parsec of our Galactic Center using the 10 m telescopes of the W.~M.~Keck Observatory over a time s…
Energy Dependence of Intermittency for Charged Hadrons in Au+Au Collisions at RHIC
STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +364
Density fluctuations near the QCD critical point can be probed via an intermittency analysis in relativistic heavy-ion collisions. We report the first measurement of intermittency…
Observation of Directed Flow of Hypernuclei H and H in = 3 GeV Au+Au Collisions at RHIC
STAR Collaboration, B. E. Aboona, J. Adam +338
We report here the first observation of directed flow () of the hypernuclei H and H in mid-central Au+Au collisions at = 3 GeV at RHIC. These d…
Measurements of the elliptic and triangular azimuthal anisotropies in central He+Au, +Au and +Au collisions at $\mbox{$\sqrt{s_{\mathrm{NN}}}$}$ = 200 GeV
STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +343
The elliptic () and triangular () azimuthal anisotropy coefficients in central He+Au, +Au, and +Au collisions at $\mbox{$\sqrt{s_{\mathrm{NN}}}$}$ = 200 GeV a…
production in Au+Au collisions at = 7.7, 11.5, 14.5, 19.6, 27 and 39 GeV from RHIC beam energy scan
STAR Collaboration, M. S. Abdallah, B. E. Aboona +359
We report the measurement of meson at midrapidity ( 1.0) in Au+Au collisions at ~=~7.7, 11.5, 14.5, 19.6, 27 and 39 GeV collected by the STAR expe…
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Wanli Liu, Chen Li, Ning Xu +9
Cervical cancer is the seventh most common cancer among all the cancers worldwide and the fourth most common cancer among women. Cervical cytopathology image classification is an i…
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images
Jiawei Zhang, Xin Zhao, Tao Jiang +7
This paper proposes a novel pixel interval down-sampling network (PID-Net) for dense tiny object (yeast cells) counting tasks with higher accuracy. The PID-Net is an end-to-end con…
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation
Weiming Hu, Chen Li, Xiaoyan Li +9
Background and purpose: Colorectal cancer has become the third most common cancer worldwide, accounting for approximately 10% of cancer patients. Early detection of the disease is…
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation
Peng Zhao, Chen Li, Md Mamunur Rahaman +7
Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict re…
Evidence for Nonlinear Gluon Effects in QCD and their Dependence at STAR
STAR Collaboration, M. S. Abdallah, B. E. Aboona +382
The STAR Collaboration reports measurements of back-to-back azimuthal correlations of di-s produced at forward pseudorapidities () in +, Al, and Au co…
A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse
Ningli Xu, Debao Huang, Shuang Song +5
In this paper, we present a case study that performs an unmanned aerial vehicle (UAV) based fine-scale 3D change detection and monitoring of progressive collapse performance of a b…
Image restoration quality assessment based on regional differential information entropy
Zhiyu Wang, Jiayan Zhuang, Ningyuan Xu +3
With the development of image recovery models,especially those based on adversarial and perceptual losses,the detailed texture portions of images are being recovered more naturally…
Large-scale Tag-based Font Retrieval with Generative Feature Learning
Tianlang Chen, Zhaowen Wang, Ning Xu +2
Font selection is one of the most important steps in a design workflow. Traditional methods rely on ordered lists which require significant domain knowledge and are often difficult…
An Internal Learning Approach to Video Inpainting
Haotian Zhang, Long Mai, Ning Xu +3
We propose a novel video inpainting algorithm that simultaneously hallucinates missing appearance and motion (optical flow) information, building upon the recent 'Deep Image Prior'…
Adversarial Attacks in Sound Event Classification
Vinod Subramanian, Emmanouil Benetos, Ning Xu +2
Adversarial attacks refer to a set of methods that perturb the input to a classification model in order to fool the classifier. In this paper we apply different gradient based adve…
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu +1
We present a deep learning method for the interactive video object segmentation. Our method is built upon two core operations, interaction and propagation, and each operation is co…
Controllable Artistic Text Style Transfer via Shape-Matching GAN
Shuai Yang, Zhangyang Wang, Zhaowen Wang +3
Artistic text style transfer is the task of migrating the style from a source image to the target text to create artistic typography. Recent style transfer methods have considered…
Streamlined Dense Video Captioning
Jonghwan Mun, Linjie Yang, Zhou Ren +2
Dense video captioning is an extremely challenging task since accurate and coherent description of events in a video requires holistic understanding of video contents as well as co…
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Peng Zhou, Long Mai, Jianming Zhang +3
Incremental learning targets at achieving good performance on new categories without forgetting old ones. Knowledge distillation has been shown critical in preserving the performan…
End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
Seonghyeon Nam, Chongyang Ma, Menglei Chai +3
Time-lapse videos usually contain visually appealing content but are often difficult and costly to create. In this paper, we present an end-to-end solution to synthesize a time-lap…