314 citations · 336 across the 11 of their papers we have counts for
11 papers
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering
Xi Wu, Liangwei Yang, Jibing Gong +4
Collaborative filtering (CF) is a widely employed technique that predicts user preferences based on past interactions. Negative sampling plays a vital role in training CF-based mod…
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System
Liangwei Yang, Shen Wang, Jibing Gong +4
Knowledge graph (KG) enhanced recommendation has demonstrated improved performance in the recommendation system (RecSys) and attracted considerable research interest. Recently the…
Using Graph Neural Networks for Program Termination
Yoav Alon, Cristina David
Termination analyses investigate the termination behavior of programs, intending to detect nontermination, which is known to cause a variety of program bugs (e.g. hanging programs,…
Online Coordination: Methods and Comparative Case Studies of Coordinated Groups across Four Events in the United States
Lynnette Hui Xian Ng, Kathleen M. Carley
Coordinated groups of user accounts working together in online social media can be used to manipulate the online discourse and thus is an important area of study. In this study, we…
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Jibing Gong, Yao Wan, Ye Liu +8
Massive open online courses (MOOCs), which offer open access and widespread interactive participation through the internet, are quickly becoming the preferred method for online and…
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors
Christina Göpfert, Alex Haig, Yinlam Chow +7
Interactive recommender systems have emerged as a promising paradigm to overcome the limitations of the primitive user feedback used by traditional recommender systems (e.g., click…
SolType: Refinement Types for Arithmetic Overflow in Solidity
Bryan Tan, Benjamin Mariano, Shuvendu K. Lahiri +2
As smart contracts gain adoption in financial transactions, it becomes increasingly important to ensure that they are free of bugs and security vulnerabilities. Of particular relev…
Fast Parallel Hypertree Decompositions in Logarithmic Recursion Depth
Georg Gottlob, Matthias Lanzinger, Cem Okulmus +1
Modern trends in data collection are bringing current mainstream techniques for database query processing to their limits. Consequently, various novel approaches for efficient quer…
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
Shen Wang, Jibing Gong, Jinlong Wang +4
Massive open online courses are becoming a modish way for education, which provides a large-scale and open-access learning opportunity for students to grasp the knowledge. To attra…
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling
Hekai Zhang, Jibing Gong, Zhiyong Teng +4
User-based attribute information, such as age and gender, is usually considered as user privacy information. It is difficult for enterprises to obtain user-based privacy attribute…
W-RNN: News text classification based on a Weighted RNN
Dan Wang, Jibing Gong, Yaxi Song
Most of the information is stored as text, so text mining is regarded as having high commercial potential. Aiming at the semantic constraint problem of classification methods based…