activity
20192025
most citedMultiple Instance Learning for Cheating Detection and Localization in Online Examinations

27 citations · 34 across the 12 of their papers we have counts for

collaborators

12 papers

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…

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…

cs.SI2020

Implicit Multi-feature Learning for Dynamic Time Series Prediction of the Impact of Institutions

Xiaomei Bai, Fuli Zhang, Jie Hou +3

Predicting the impact of research institutions is an important tool for decision makers, such as resource allocation for funding bodies. Despite significant effort of adopting quan…

cs.DL2020

Predicting the Citations of Scholarly Paper

Xiaomei Bai, Fuli Zhang, Ivan Lee

Citation prediction of scholarly papers is of great significance in guiding funding allocations, recruitment decisions, and rewards. However, little is known about how citation pat…

cs.DL2020★ 4 cited

Quantifying Success in Science: An Overview

Xiaomei Bai, Hanxiao Pan, Jie Hou +3

Quantifying success in science plays a key role in guiding funding allocations, recruitment decisions, and rewards. Recently, a significant amount of progresses have been made towa…

cs.DL2020

Author Impact: Evaluations, Predictions, and Challenges

Fuli Zhang, Xiaomei Bai, Ivan Lee

Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion. In this paper, we first introduce the background of author impact evaluation…

cs.DL2020

Measure the Impact of Institution and Paper via Institution-citation Network

Xiaomei Bai, Fuli Zhang, Jin Ni +2

This paper investigates the impact of institutes and papers over time based on the heterogeneous institution-citation network. A new model, IPRank, is introduced to measure the imp…

cs.DL2020

An Overview on Evaluating and Predicting Scholarly Article Impact

Xiaomei Bai, Hui Liu, Fuli Zhang +4

Scholarly article impact reflects the significance of academic output recognised by academic peers, and it often plays a crucial role in assessing the scientific achievements of re…

cs.DL2020

Quantifying the Impact of Scholarly Papers Based on Higher-Order Weighted Citations

Xiaomei Bai, Fuli Zhang, Jie Hou +4

Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,59…

cs.DL2020

The Role of Positive and Negative Citations in Scientific Evaluation

Xiaomei Bai, Ivan Lee, Zhaolong Ning +2

Quantifying the impact of scientific papers objectively is crucial for research output assessment, which subsequently affects institution and country rankings, research funding all…

cs.LG2019

Graduate Employment Prediction with Bias

Teng Guo, Feng Xia, Shihao Zhen +4

The failure of landing a job for college students could cause serious social consequences such as drunkenness and suicide. In addition to academic performance, unconscious biases c…