Publications (10)
Fates of the sub-stellar objects (FOSSO) I. Fates of the known brown dwarfs in main-sequence--BD binaries
Zhangliang Chen, Hongming Jin, Hongwei Ge +4
Context. Understanding the survival and orbital evolution of brown dwarf (BD) companions during the post-main-sequence (MS) evolution of their host stars is increasingly important,…
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation
Tong Xu, Lin Wang, Wu Ning +3
As a study on the efficient usage of data, Multi-source Unsupervised Domain Adaptation transfers knowledge from multiple source domains with labeled data to an unlabeled target dom…
Person image generation with semantic attention network for person re-identification
Meichen Liu, Kejun Wang, Juihang Ji +1
Pose variation is one of the key factors which prevents the network from learning a robust person re-identification (Re-ID) model. To address this issue, we propose a novel person…
HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild
Jing Chen, Chenhui Wang, Kejun Wang +7
The study of affective computing in the wild setting is underpinned by databases. Existing multimodal emotion databases in the real-world conditions are few and small, with a limit…
Fates of the sub-stellar objects (FOSSO) II. Evidence for Suppression of Metal Pollution in White Dwarfs by Close Substellar Companions
Zhangliang Chen, Xin-Yue Zhang, Di-Chang Chen +4
Approximately 25--50\% of white dwarfs (WDs) exhibit metal absorption lines in their photospheres, interpreted as evidence of ongoing/recent accretion of planetary debris from remn…
An Features Extraction and Recognition Method for Underwater Acoustic Target Based on ATCNN
Gang Hu, Kejun Wang, Liangliang Liu
Facing the complex marine environment, it is extremely challenging to conduct underwater acoustic target recognition (UATR) using ship-radiated noise. Inspired by neural mechanism…