541 citations · 1.5k across the 76 of their papers we have counts for
28 papers · 1 filter
Optimal Sizing and Pricing of Renewable Power to Ammonia Systems Considering the Limited Flexibility of Ammonia Synthesis
Zhipeng Yu, Jin Lin, Feng Liu +5
Converting renewable energy into ammonia has been recognized as a promising way to realize ``green hydrogen substitution" in the chemical industry. However, renewable power to ammo…
Online Optimization in Power Systems with High Penetration of Renewable Generation: Advances and Prospects
Zhaojian Wang, Wei Wei, John Zhen Fu Pang +4
Traditionally, offline optimization of power systems is acceptable due to the largely predictable loads and reliable generation. The increasing penetration of fluctuating renewable…
Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility Mapping
Zhuang Xiong, Yang Gao, Feng Liu +1
Deep neural networks have demonstrated great potential in solving dipole inversion for Quantitative Susceptibility Mapping (QSM). However, the performances of most existing deep le…
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…
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Chaoqi Chen, Luyao Tang, Feng Liu +3
Domain generalization (DG) enables generalizing a learning machine from multiple seen source domains to an unseen target one. The general objective of DG methods is to learn semant…
A Perceptual Quality Metric for Video Frame Interpolation
Qiqi Hou, Abhijay Ghildyal, Feng Liu
Research on video frame interpolation has made significant progress in recent years. However, existing methods mostly use off-the-shelf metrics to measure the quality of interpolat…
Is Out-of-Distribution Detection Learnable?
Zhen Fang, Yixuan Li, Jie Lu +3
Supervised learning aims to train a classifier under the assumption that training and test data are from the same distribution. To ease the above assumption, researchers have studi…
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…
Beam Energy Dependence of Triton Production and Yield Ratio () in Au+Au Collisions at RHIC
STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +342
We report the triton () production in mid-rapidity ( 0.5) Au+Au collisions at = 7.7--200 GeV measured by the STAR experiment from the first phase of…
Search for the Chiral Magnetic Effect in Au+Au collisions at GeV with the STAR forward Event Plane Detectors
STAR Collaboration, B. E. Aboona, J. Adam +355
A decisive experimental test of the Chiral Magnetic Effect (CME) is considered one of the major scientific goals at the Relativistic Heavy-Ion Collider (RHIC) towards understanding…
Shift-tolerant Perceptual Similarity Metric
Abhijay Ghildyal, Feng Liu
Existing perceptual similarity metrics assume an image and its reference are well aligned. As a result, these metrics are often sensitive to a small alignment error that is imperce…
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
Xiong Peng, Feng Liu, Jingfen Zhang +4
Through using only a well-trained classifier, model-inversion (MI) attacks can recover the data used for training the classifier, leading to the privacy leakage of the training dat…
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images
Chengfeng Zhou, Songchang Chen, Chenming Xu +6
Since data scarcity and data heterogeneity are prevailing for medical images, well-trained Convolutional Neural Networks (CNNs) using previous normalization methods may perform poo…
SNeRF: Stylized Neural Implicit Representations for 3D Scenes
Thu Nguyen-Phuoc, Feng Liu, Lei Xiao
This paper presents a stylized novel view synthesis method. Applying state-of-the-art stylization methods to novel views frame by frame often causes jittering artifacts due to the…
Measurement of sequential suppression in Au+Au collisions at = 200 GeV with the STAR experiment
STAR Collaboration, B. E. Aboona, J. Adam +357
We report on measurements of sequential suppression in Au+Au collisions at = 200 GeV with the STAR detector at the Relativistic Heavy Ion Collider (RH…
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou +5
The AutoAttack (AA) has been the most reliable method to evaluate adversarial robustness when considerable computational resources are available. However, the high computational co…
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms
Guangzhi Ma, Jie Lu, Feng Liu +2
The theoretical analysis of multi-class classification has proved that the existing multi-class classification methods can train a classifier with high classification accuracy on t…
Incentive Mechanism Design for Emergency Frequency Control in Multi-Infeed Hybrid AC-DC System
Ye Liu, Chen Shen, Zhaojian Wang +1
In multi-infeed hybrid AC-DC (MIDC) systems, the emergency frequency control (EFC) with LCC-HVDC systems participating is of vital importance for system frequency stability. Nevert…
A novel stereo matching pipeline with robustness and unfixed disparity search range
Jiazhi Liu, Feng Liu
Stereo matching is an essential basis for various applications, but most stereo matching methods have poor generalization performance and require a fixed disparity search range. Mo…
Azimuthal transverse single-spin asymmetries of inclusive jets and identified hadrons within jets from polarized collisions at = 200 GeV
STAR Collaboration, M. S. Abdallah, B. E. Aboona +357
The STAR Collaboration reports measurements of the transverse single-spin asymmetries, , for inclusive jets and identified `hadrons within jets' production at midrapidity from…
Distortion-Corrected Image Reconstruction with Deep Learning on an MRI-Linac
Shanshan Shan, Yang Gao, Paul Z. Y. Liu +5
Magnetic resonance imaging (MRI) is increasingly utilized for image-guided radiotherapy due to its outstanding soft-tissue contrast and lack of ionizing radiation. However, geometr…
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
Feng Liu, Xiaosong Zhang, Zhiliang Peng +4
Modern object detectors have taken the advantages of backbone networks pre-trained on large scale datasets. Except for the backbone networks, however, other components such as the…
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources
Xuanyu Zhu, Yang Gao, Feng Liu +2
Introduction: Background field removal (BFR) is a critical step required for successful quantitative susceptibility mapping (QSM). However, eliminating the background field in brai…
Tomography of Ultra-relativistic Nuclei with Polarized Photon-gluon Collisions
STAR Collaboration, M. S. Abdallah, B. E. Aboona +380
A linearly polarized photon can be quantized from the Lorentz-boosted electromagnetic field of a nucleus traveling at ultra-relativistic speed. When two relativistic heavy nuclei p…