supported by the National Natural Science Foundation of China(Grant No.62127808).
Graph neural networks(GNNs)have gained traction and have been applied to various graph-based data analysis tasks due to their high performance.However,a major concern is their robustness,particularly when faced with g...
supported in part by the National Science Fund for Distinguished Young Scholars(61725205);the National Natural Science Foundation of China(Grant Nos.61960206008,61772428,61972319,and61902320).
At nomaly detectors are used to distinguish differences between normal and abnormal data,which are usually implemented by evaluating and ranking the anomaly scores of each instance.A static unsupervised streaming anom...
supported by the National Natural Science Foundation of China(Grants Nos.62176128 and 61702273);the Natural Science Foundation of Jiangsu Province(BK20170956);the Open Projects Program of National Laboratory of Pattern Recognition(202000007);the Fundamental Research Funds for the Central Universities(NJ2019010);the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund,the Postgraduate Research&Practice Innovation Program of Jiangsu Province KYCX21_1006,and was also sponsored by the Qing Lan Project.
1 Introduction As an emerging machine learning paradigm,unsupervised domain adaptation(UDA)aims to train an effective model for unlabeled target domain by leveraging knowledge from related but distribution-inconsisten...
the National Natural Science Foundation of China (NSFC)(Grant No. 61501150).
Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature e...
To extend the lifetime of wireless sensor net- works, reducing and balancing energy consumptions are main concerns in data collection due to the power constrains of the sensor nodes. Unfortunately, the existing data c...
In the robot soccer competition platform, the cur- rent confrontation decision-making system suffers from dif- ficulties in optimization and adaptability. Therefore, we pro- pose a new self-adaptive decision-making (...
Multi-lateral multi-issue negotiations are the most complex realistic negotiation problems. Automated ap- proaches have proven particularly promising for complex ne- gotiations and previous research indicates evolutio...