50 citations · 102 across the 10 of their papers we have counts for
8 papers · 1 filter
Communicative Message Passing for Inductive Relation Reasoning
Sijie Mai, Shuangjia Zheng, Yuedong Yang +1
Relation prediction for knowledge graphs aims at predicting missing relationships between entities. Despite the importance of inductive relation prediction, most previous works are…
Universal Multi-Source Domain Adaptation
Yueming Yin, Zhen Yang, Haifeng Hu +1
Unsupervised domain adaptation enables intelligent models to transfer knowledge from a labeled source domain to a similar but unlabeled target domain. Recent study reveals that kno…
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion
Sijie Mai, Songlong Xing, Jiaxuan He +2
In this paper, we study the task of multimodal sequence analysis which aims to draw inferences from visual, language and acoustic sequences. A majority of existing works generally…
Unveiling Class-Labeling Structure for Universal Domain Adaptation
Yueming Yin, Zhen Yang, Xiaofu Wu +1
As a more practical setting for unsupervised domain adaptation, Universal Domain Adaptation (UDA) is recently introduced, where the target label set is unknown. One of the big chal…
Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
Lei Zheng, Jiesen Pan, Rui Yang +2
Safety and tracking stability are crucial for safety-critical systems such as self-driving cars, autonomous mobile robots, industrial manipulators. To efficiently control safety-cr…
Safe Learning-based Tracking Control for Quadrotors under Wind Disturbances
Lei Zheng, Rui Yang, Jiesen Pan +1
Enforcing safety on precise trajectory tracking is critical for aerial robotics subject to wind disturbances. In this paper, we present a learning-based safety-preserving cascaded…
Adaptive Interaction Modeling via Graph Operations Search
Haoxin Li, Wei-Shi Zheng, Yu Tao +2
Interaction modeling is important for video action analysis. Recently, several works design specific structures to model interactions in videos. However, their structures are manua…
Metric-Learning-Assisted Domain Adaptation
Yueming Yin, Zhen Yang, Haifeng Hu +1
Domain alignment (DA) has been widely used in unsupervised domain adaptation. Many existing DA methods assume that a low source risk, together with the alignment of distributions o…