supported by the National Science Foundation of China(No.62141608).
Factorization machine(FM)is a prevalent approach to modelling pairwise(second-order)feature interactions when dealing with high-dimensional sparse data.However,on the one hand,FMs fail to capture higher-order feature ...
This paper is the extension of our previous work entitled''Searching a systematics for nonfactorizable contributions to B and B^(0)hadronic decays''.Obtaining the factorizable contributions from the spectator-quark mo...
1 Introduction.Graph learning,dedicated to uncovering and discovering information within graph data,has continually evolved and transformed its learning paradigms since its inception.Initially,shallow learning methods...
The method of moving surfaces is an effective tool to implicitize rational parametric surfaces,and it has been extensively studied in the past two decades.An essential step in surface implicitization using the method ...
Backdoor attacks pose great threats to deep neural network models. All existing backdoor attacks are designed for unstructured data(image, voice, and text), but not structured tabular data, which has wide real-world a...
supported by National Natural Science Foundation of China(Nos.62032013 and 61972078);the Fundamental Research Funds for the Central Universities,China(No.N2217004).
Factorization machine (FM) is an effective model for feature-based recommendation that utilizes inner products to capture second-order feature interactions. However, one of the major drawbacks of FM is that it cannot ...
supported by the National Natural Science Foundation of China(No.62271274).
In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniq...
supported by the Institute of Information&Communications Technology Planning&Evaluation (IITP)grant funded by the Korean government (MSIT) (No.2022-0-00369);by the NationalResearch Foundation of Korea Grant funded by the Korean government (2018R1A5A1060031,2022R1F1A1065664).
How can we efficiently store and mine dynamically generated dense tensors for modeling the behavior of multidimensional dynamic data?Much of the multidimensional dynamic data in the real world is generated in the form...
This research work has been conducted in cooperation with members of DETSI project supported by BPI France and Pays de Loire and Auvergne Rhone Alpes.
The proliferation of internet communication channels has increased telecom fraud,causing billions of euros in losses for customers and the industry each year.Fraudsters constantly find new ways to engage in illegal ac...
supported by the National Natural Science Foundation of China (Grant Nos.12005068,12105148,12105112,and 12105099);the Natural Science Foundation of Jiangsu Education Committee (Grant No.21KJB140027).
Heavy meson decays provide an important platform for studies of both QCD and electroweak dynamics,which may contain some portals to understanding of nonperturbative QCD and physics beyond the Standard Model.The factor...