output
20052025
most citedImplicit and electrostatic Particle-in-cell/Monte Carlo model in two dimensional and axisymmetric geometry I: analysis of numerical techniques

132 citations

21 papers

quant-ph2025★ 1 cited

Variational quantum algorithms with invariant probabilistic error cancellation on noisy quantum processors

Yulin Chi, Hongyi Shi, Wen Zheng +8

In the noisy intermediate-scale quantum era, emerging classical-quantum hybrid optimization algorithms, such as variational quantum algorithms (VQAs), can leverage the unique chara…

cs.LG2025★ 3 cited

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection

Jing Ren, Mingliang Hou, Zhixuan Liu +1

Graph anomaly detection is a popular and vital task in various real-world scenarios, which has been studied for several decades. Recently, many studies extending deep learning-base…

cs.CV2024★ 27 cited

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations

Yemeng Liu, Jing Ren, Jianshuo Xu +3

The spread of the Coronavirus disease-2019 epidemic has caused many courses and exams to be conducted online. The cheating behavior detection model in examination invigilation syst…

quant-ph2021★ 2 cited

Analogue gravitational lensing in optical Bose-Einstein condensates

Decheng Ma, Chenglong Jia, Enrique Solano +1

We consider acoustic propagation of phonons in the presence of a non-rotating vortex with radial flow in a Bose-Einstein condensate (BEC) of photons. Since the vortex can be used t…

cs.CV2020

Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network

Jun Wan, Zhihui Lai, Linlin Shen +4

Recently, convolutional neural networks (CNNs)-based facial landmark detection methods have achieved great success. However, most of existing CNN-based facial landmark detection me…

cs.IR2020

Scientific Paper Recommendation: A Survey

Xiaomei Bai, Mengyang Wang, Ivan Lee +3

Globally, recommendation services have become important due to the fact that they support e-commerce applications and different research communities. Recommender systems have a lar…