113 citations · 299 across the 18 of their papers we have counts for
18 papers
Precision QCD with the Electron-Ion Collider
C. Alexandrou, M. Arratia, E. C. Aschenauer +66
This document summarizes the discussions at the program "Precision QCD with the Electron Ion Collider", held from May to June 2025 at the Institute for Nuclear Theory (INT) at the…
Measurement of Kaon Directed Flow in Au+Au Collisions in the High Baryon Density Region
STAR Collaboration, B. E. Aboona, J. Adam +360
Rapidity-odd directed flow measurements are presented for and in AuAu collisions at = 3.0, 3.2, 3.5, and 3.9 GeV with the STAR exp…
Invisible Watermarking for Audio Generation Diffusion Models
Xirong Cao, Xiang Li, Divyesh Jadav +4
Diffusion models have gained prominence in the image domain for their capabilities in data generation and transformation, achieving state-of-the-art performance in various tasks in…
Distributed Logistic Regression for Massive Data with Rare Events
Xuetong Li, Xuening Zhu, Hansheng Wang
Large-scale rare events data are commonly encountered in practice. To tackle the massive rare events data, we propose a novel distributed estimation method for logistic regression…
Hyperon polarization along the beam direction relative to the second and third harmonic event planes in isobar collisions at = 200 GeV
STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +345
The polarization of and hyperons along the beam direction has been measured relative to the second and third harmonic event planes in isobar Ru+Ru and Zr+Zr collisions…
Quasi-periodic Variations of Coronal Mass Ejections with Different Angular Widths
Xia Li, Hui Deng, Feng Wang +2
Coronal mass ejections (CMEs) are energetic expulsions of organized magnetic features from the Sun. The study of CME quasi-periodicity helps establish a possible relationship betwe…
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation
Shiqiang Ma, Xuejian Li, Jijun Tang +1
Automatic image segmentation technology is critical to the visual analysis. The autoencoder architecture has satisfying performance in various image segmentation tasks. However, au…
PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation
Bin Ren, Hao Tang, Yiming Wang +3
For semantic-guided cross-view image translation, it is crucial to learn where to sample pixels from the source view image and where to reallocate them guided by the target view se…
NMA: Neural Multi-slot Auctions with Externalities for Online Advertising
Guogang Liao, Xuejian Li, Ze Wang +6
Online advertising driven by auctions brings billions of dollars in revenue for social networking services and e-commerce platforms. GSP auctions, which are simple and easy to unde…
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation
Xuejian Li, Shiqiang Ma, Jijun Tang +1
Automatic segmentation of medical images based on multi-modality is an important topic for disease diagnosis. Although the convolutional neural network (CNN) has been proven to hav…
Heterogeneous Graph-Based Multimodal Brain Network Learning
Gen Shi, Yifan Zhu, Wenjin Liu +2
Graph neural networks (GNNs) provide powerful insights for brain neuroimaging technology from the view of graphical networks. However, most existing GNN-based models assume that th…
Optimization Induced Equilibrium Networks
Xingyu Xie, Qiuhao Wang, Zenan Ling +4
Implicit equilibrium models, i.e., deep neural networks (DNNs) defined by implicit equations, have been becoming more and more attractive recently. In this paper, we investigate an…
Self-Boosted Automated Program Repair
Samuel Benton, Mengshi Zhang, Xia Li +1
Program repair is an integral part of every software system's life-cycle but can be extremely challenging. To date, researchers have proposed various automated program repair (APR)…
Towards Efficient Scene Understanding via Squeeze Reasoning
Xiangtai Li, Xia Li, Ansheng You +5
Graph-based convolutional model such as non-local block has shown to be effective for strengthening the context modeling ability in convolutional neural networks (CNNs). However, i…
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
Yibo Yang, Hongyang Li, Xia Li +3
The panoptic segmentation task requires a unified result from semantic and instance segmentation outputs that may contain overlaps. However, current studies widely ignore modeling…
Can Automated Program Repair Refine Fault Localization?
Yiling Lou, Ali Ghanbari, Xia Li +3
Software bugs are prevalent in modern software systems and notoriously hard to debug manually. Therefore, a large body of research efforts have been dedicated to automated software…
Expectation-Maximization Attention Networks for Semantic Segmentation
Xia Li, Zhisheng Zhong, Jianlong Wu +3
Self-attention mechanism has been widely used for various tasks. It is designed to compute the representation of each position by a weighted sum of the features at all positions. T…
Seeing Double: ASASSN-18bt Exhibits a Two-Component Rise in the Early-Time K2 Light Curve
B. J. Shappee, T. W. -s. Holoien, M. R. Drout +109
On 2018 Feb. 4.41, the All-Sky Automated Survey for SuperNovae (ASAS-SN) discovered ASASSN-18bt in the K2 Campaign 16 field. With a redshift of z=0.01098 and a peak apparent magnit…