541 citations · 1.5k across the 76 of their papers we have counts for
20 papers · 1 filter
High-performance green and blue quantum-dot light-emitting diodes with eliminated charge leakage
Yunzhou Deng, Feng Peng, Yao Lu +12
Quantum-dot light-emitting diodes (QD-LEDs) promise a new generation of efficient, low-cost, large-area, and flexible electroluminescent devices. However, the inferior performance…
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
Feng Liu, Xiaoming Liu
Inferring 3D locations and shapes of multiple objects from a single 2D image is a long-standing objective of computer vision. Most of the existing works either predict one of these…
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…
Instant tissue field and magnetic susceptibility mapping from MR raw phase using Laplacian enabled deep neural networks
Yang Gao, Zhuang Xiong, Amir Fazlollahi +8
Quantitative susceptibility mapping (QSM) is a valuable MRI post-processing technique that quantifies the magnetic susceptibility of body tissue from phase data. However, the tradi…
Machine learning spectral functions in lattice QCD
S. -Y. Chen, H. -T. Ding, F. -Y. Liu +2
We study the inverse problem of reconstructing spectral functions from Euclidean correlation functions via machine learning. We propose a novel neural network, SVAE, which is based…
Edge states in a non-Hermitian topological crystalline insulator
Qiu-Yue Xu, Feng Liu, Chui-Zhen Chen +1
Breaking Hermiticity in topological systems gives rise to intriguing phenomena, such as the exceptional topology and the non-Hermitian skin effect. In this work, we study a non-Her…
Approaching the Transient Stability Boundary of a Power System: Theory and Applications
Peng Yang, Feng Liu, Wei Wei +1
Estimating the stability boundary is a fundamental and challenging problem in transient stability studies. It is known that a proper level set of a Lyapunov function or an energy f…
Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism
Shulun Wang, Bin Liu, Feng Liu
Softmax is widely used in neural networks for multiclass classification, gate structure and attention mechanisms. The statistical assumption that the input is normal distributed su…
View Synthesis of Dynamic Scenes based on Deep 3D Mask Volume
Kai-En Lin, Guowei Yang, Lei Xiao +2
Image view synthesis has seen great success in reconstructing photorealistic visuals, thanks to deep learning and various novel representations. The next key step in immersive virt…
An Improved Surrogate Method for Solving the Energy Storage Optimal Bidding Problem
Yue Chen, Wei Wei, Tongxin Li +3
Energy storage is expected to play an increasingly important role in mitigating variations that come along with the growing penetration of renewable energy. In this paper, we study…
Joint Optimization of Wind Farm Layout Considering Optimal Control
Kaixuan Chen, Jin Lin, Yiwei Qiu +2
The wake effect is one of the leading causes of energy losses in offshore wind farms (WFs). Both turbine placement and cooperative control can influence the wake interactions insid…
Learning Bounds for Open-Set Learning
Zhen Fang, Jie Lu, Anjin Liu +2
Traditional supervised learning aims to train a classifier in the closed-set world, where training and test samples share the same label space. In this paper, we target a more chal…
Local Reweighting for Adversarial Training
Ruize Gao, Feng Liu, Kaiwen Zhou +3
Instances-reweighted adversarial training (IRAT) can significantly boost the robustness of trained models, where data being less/more vulnerable to the given attack are assigned sm…
Fast Monte Carlo Rendering via Multi-Resolution Sampling
Qiqi Hou, Zhan Li, Carl S Marshall +2
Monte Carlo rendering algorithms are widely used to produce photorealistic computer graphics images. However, these algorithms need to sample a substantial amount of rays per pixel…
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu, Wenkai Xu, Jie Lu +1
Modern kernel-based two-sample tests have shown great success in distinguishing complex, high-dimensional distributions with appropriate learned kernels. Previous work has demonstr…
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation
Chenhong Zhou, Feng Liu, Chen Gong +4
In semantic segmentation, we aim to train a pixel-level classifier to assign category labels to all pixels in an image, where labeled training images and unlabeled test images are…
Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning
Xuanyu Zhu, Yang Gao, Feng Liu +2
Introduction: Quantitative Susceptibility Mapping (QSM) is generally acquired with full brain coverage, even though many QSM brain-iron studies focus on the deep grey matter (DGM)…
Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
Feng Liu, Luan Tran, Xiaoming Liu
Inferring 3D structure of a generic object from a 2D image is a long-standing objective of computer vision. Conventional approaches either learn completely from CAD-generated synth…
Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI
Xinwen Liu, Jing Wang, Fangfang Tang +3
MRI images of the same subject in different contrasts contain shared information, such as the anatomical structure. Utilizing the redundant information amongst the contrasts to sub…
Accelerating Quantitative Susceptibility Mapping using Compressed Sensing and Deep Neural Network
Yang Gao, Martijn Cloos, Feng Liu +3
Quantitative susceptibility mapping (QSM) is an MRI phase-based post-processing method that quantifies tissue magnetic susceptibility distributions. However, QSM acquisitions are r…