17 citations · 30 across the 6 of their papers we have counts for
6 papers
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen +3
Aiding humans with scientific designs is one of the most exciting of artificial intelligence (AI) and machine learning (ML), due to their potential for the discovery of new drugs,…
MrTF: Model Refinery for Transductive Federated Learning
Xin-Chun Li, Yang Yang, De-Chuan Zhan
We consider a real-world scenario in which a newly-established pilot project needs to make inferences for newly-collected data with the help of other parties under privacy protecti…
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning
Yang Yang, Hongchen Wei, Hengshu Zhu +3
The task of image captioning aims to generate captions directly from images via the automatically learned cross-modal generator. To build a well-performing generator, existing appr…
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport
Yang Yang, Zhao-Yang Fu, De-Chuan Zhan +2
Complex objects are usually with multiple labels, and can be represented by multiple modal representations, e.g., the complex articles contain text and image information as well as…
Learning Adaptive Embedding Considering Incremental Class
Yang Yang, Zhen-Qiang Sun, HengShu Zhu +3
Class-Incremental Learning (CIL) aims to train a reliable model with the streaming data, which emerges unknown classes sequentially. Different from traditional closed set learning,…
S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
Yang Yang, Zhen-Qiang Sun, Hui Xiong +1
Open set classification (OSC) tackles the problem of determining whether the data are in-class or out-of-class during inference, when only provided with a set of in-class examples…