activity
20052024
most citedHigh-performance green and blue quantum-dot light-emitting diodes with eliminated charge leakage

541 citations · 1.5k across the 76 of their papers we have counts for

collaborators

77 papers

cs.IR2024

Semantic Retrieval at Walmart

Alessandro Magnani, Feng Liu, Suthee Chaidaroon +8

In product search, the retrieval of candidate products before re-ranking is more critical and challenging than other search like web search, especially for tail queries, which have…

cs.CV2024★ 1 cited

Fingerprints of Super Resolution Networks

Jeremy Vonderfecht, Feng Liu

Several recent studies have demonstrated that deep-learning based image generation models, such as GANs, can be uniquely identified, and possibly even reverse-engineered, by the fi…

hep-ex2023

Observation of decay

M. Ablikim

Using a sample of events collected with the BESIII detector, the decay with subsequently decaying into $γπ^+…

cs.CV2023★ 3 cited

RHINO: Regularizing the Hash-based Implicit Neural Representation

Hao Zhu, Fengyi Liu, Qi Zhang +2

The use of Implicit Neural Representation (INR) through a hash-table has demonstrated impressive effectiveness and efficiency in characterizing intricate signals. However, current…

eess.SY2023

Multi-Stage Expansion Planning for Decarbonizing Thermal Generation Supported Renewable Power Systems Using Hydrogen and Ammonia Storage

Zhipeng Yu, Jin Lin, Feng Liu +4

Large-scale centralized development of wind and solar energy and peer-to-grid transmission of renewable energy source (RES) via high voltage direct current (HVDC) has been regarded…

eess.SY2023

Learning Constrained Corner Node Trajectories of a Tether Net System for Space Debris Capture

Feng Liu, Achira Boonrath, Prajit KrisshnaKumar +2

The earth's orbit is becoming increasingly crowded with debris that poses significant safety risks to the operation of existing and new spacecraft and satellites. The active tether…

cond-mat.soft2023

Anisotropic-Isotropic Transition of Cages at the Glass Transition

Huijun Zhang, Feng Liu, Yilong Han

Characterizing the local structural evolution is an essential step in understanding the nature of glass transition. In this work, we probe the evolution of Voronoi cell geometry in…

cond-mat.supr-con2023

Analytic Solution of -dimensional Su-Schrieffer-Heeger Model

Feng Liu

The Su-Schrieffer-Heeger (SSH) model is fundamental in topological insulators and relevant to understanding higher-order topological phases. This study explores the relationship be…

nucl-ex2023★ 4 cited

Event-by-event correlations between () hyperon global polarization and handedness with charged hadron azimuthal separation in Au+Au collisions at from STAR

STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +342

Global polarizations () of () hyperons have been observed in non-central heavy-ion collisions. The strong magnetic field primarily created by the spectator protons in…

cs.CV2023★ 2 cited

AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation

Hyunyoung Jung, Zhuo Hui, Lei Luo +5

To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs. However, downsizing inputs makes the esti…

eess.SY2023★ 3 cited

Optimal Sizing of Isolated Renewable Power Systems with Ammonia Synthesis: Model and Solution Approach

Zhipeng Yu, Jin Lin, Feng Liu +3

Isolated renewable power to ammonia (IRePtA) has been recognized as a promising way to decarbonize the chemical industry. Optimal sizing of the renewable power system is significan…

cs.LG2023★ 10 cited

Out-of-distribution Detection with Implicit Outlier Transformation

Qizhou Wang, Junjie Ye, Feng Liu +5

Outlier exposure (OE) is powerful in out-of-distribution (OOD) detection, enhancing detection capability via model fine-tuning with surrogate OOD data. However, surrogate data typi…

nucl-ex2023★ 4 cited

Measurement of electrons from open heavy-flavor hadron decays in Au+Au collisions at GeV with the STAR detector

STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +359

We report a new measurement of the production of electrons from open heavy-flavor hadron decays (HFEs) at mid-rapidity ( 0.7) in Au+Au collisions at G…

nucl-ex2023★ 4 cited

Elliptic Flow of Heavy-Flavor Decay Electrons in Au+Au Collisions at = 27 and 54.4 GeV at RHIC

STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +359

We report on new measurements of elliptic flow () of electrons from heavy-flavor hadron decays at mid-rapidity () in Au+Au collisions at = 27 a…

eess.SY2023★ 1 cited

Multi-timescale Trading Strategy for Renewable Power to Ammonia Virtual Power Plant in the Electricity, Hydrogen, and Ammonia Markets

Sirui Wu, Jin Lin, Jiarong Li +5

Renewable power to ammonia (RePtA) is a prominent zero-carbon pathway for decarbonization. Due to the imbalance between renewables and production energy demand, the RePtA system re…

eess.IV2023★ 4 cited

AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI

Marlon E. Bran Lorenzana, Shekhar S. Chandra, Feng Liu

Sparse reconstruction is an important aspect of MRI, helping to reduce acquisition time and improve spatial-temporal resolution. Popular methods are based mostly on compressed sens…

nucl-ex2023★ 20 cited

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…

eess.SY2022★ 1 cited

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…

math.OC2022

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…

physics.med-ph2022

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…

nucl-ex2022★ 28 cited

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…

cs.CV2022★ 20 cited

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…

cs.CV2022★ 1 cited

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…

cs.LG2022★ 32 cited

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…