164 citations · 572 across the 17 of their papers we have counts for
17 papers
Insight-HXMT Measurements of the Diffuse X-ray Background
Rui Huang, Wei Cui, Jin-Yuan Liao +8
We present an X-ray spectrum of the diffuse X-ray background (DXRB) between 1.5 and 120 keV, as measured with the Low-Energy Detector (LE) and the High-Energy Detector (HE) aboard…
LibAUC: A Deep Learning Library for X-Risk Optimization
Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu +3
This paper introduces the award-winning deep learning (DL) library called LibAUC for implementing state-of-the-art algorithms towards optimizing a family of risk functions named X-…
Learning a Single Convolutional Layer Model for Low Light Image Enhancement
Yuantong Zhang, Baoxin Teng, Daiqin Yang +4
Low-light image enhancement (LLIE) aims to improve the illuminance of images due to insufficient light exposure. Recently, various lightweight learning-based LLIE methods have been…
IterativePFN: True Iterative Point Cloud Filtering
Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao +3
The quality of point clouds is often limited by noise introduced during their capture process. Consequently, a fundamental 3D vision task is the removal of noise, known as point cl…
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang +3
Text-guided diffusion models have shown superior performance in image/video generation and editing. While few explorations have been performed in 3D scenarios. In this paper, we di…
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators
Qinghao Hu, Gang Li, Qiman Wu +1
Recently low-precision deep learning accelerators (DLAs) have become popular due to their advantages in chip area and energy consumption, yet the low-precision quantized models on…
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering
Dasith de Silva Edirimuni, Xuequan Lu, Gang Li +1
Point cloud filtering and normal estimation are two fundamental research problems in the 3D field. Existing methods usually perform normal estimation and filtering separately and o…
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
Wei Jiang, Gang Li, Yibo Wang +2
Variance reduction techniques such as SPIDER/SARAH/STORM have been extensively studied to improve the convergence rates of stochastic non-convex optimization, which usually maintai…
The First Insight-HXMT Gamma-Ray Burst Catalog: The First Four Years
Xin-Ying Song, Shao-Lin Xiong, Shuang-Nan Zhang +40
The Hard X-ray Modulation Telescope (Insight-HXMT), is China's first X-ray astronomy satellite launched on June 15, 2017. The anti-coincidence CsI detectors of the High Energy X-ra…
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
Gang Li, Xiang Li, Yujie Wang +3
In this paper, we delve into two key techniques in Semi-Supervised Object Detection (SSOD), namely pseudo labeling and consistency training. We observe that these two techniques cu…
Rationalizing the influence of tunable energy levels on quantum efficiency to design optimal non-fullerene acceptor-based ternary organic solar cells
Safakath Karuthedath, Sri H. K . Paleti, Anirudh Sharma +12
Non-fullerene acceptor (NFA)-based ternary bulk heterojunction solar cells (TSC) are the most efficient organic solar cells (OSCs) today due to their broader absorption and quantum…
The first view of Scuti and Doradus stars with the TESS mission
V. Antoci, M. S. Cunha, D. M. Bowman +63
We present the first asteroseismic results for Scuti and Doradus stars observed in Sectors 1 and 2 of the TESS mission. We utilise the 2-min cadence TESS data for a sample…
Scalable Sparse Cox's Regression for Large-Scale Survival Data via Broken Adaptive Ridge
Eric S. Kawaguchi, Marc A. Suchard, Zhenqiu Liu +1
This paper develops a new scalable sparse Cox regression tool for sparse high-dimensional massive sample size (sHDMSS) survival data. The method is a local -penalized Cox regr…
Measurement of the center-of-mass energies at BESIII via the di-muon process
M. Ablikim, M. N. Achasov, X. C. Ai +407
From 2011 to 2014, the BESIII experiment collected about 5 fb data at center-of-mass energies around 4 GeV for the studies of the charmonium-like and higher excited charmoni…
Well-posedness and general decay of solution for a transmission problem with viscoelastic term and delay
Danhua Wang, Gang Li, Biqing Zhu
In this paper, we consider a transmission problem in a bounded domain with a viscoelastic term and a delay term. Under appropriate hypothesis on the relaxation function and the rel…
Precision measurement of the integrated luminosity of the data taken by BESIII at center of mass energies between 3.810 GeV and 4.600 GeV
M. Ablikim, M. N. Achasov, X. C. Ai +408
From December 2011 to May 2014, about 5 of data were taken with the BESIII detector at center-of-mass energies between 3.810 GeV and 4.600 GeV to study the charmonium…
Evidence for at center-of-mass energies from 4.009 to 4.360 GeV
BESIII Collaboration, M. Ablikim, M. N. Achasov +405
Using data samples collected at center-of-mass energies of = 4.009, 4.230, 4.260, and 4.360 GeV with the BESIII detector operating at the BEPCII collider, we perform a s…