no code implementations • 30 Nov 2023 • Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao
Later the augmentation network employs the explicit cross-domain knowledge as augmented information to boost the target domain CTR prediction.
no code implementations • 6 May 2023 • Zida Cheng, Chen Ju, Xu Chen, Zhonghua Zhai, Shuai Xiao, Xiaoyi Zeng, Weilin Huang
We formally define a novel valuable information retrieval task: image-to-multi-modal-retrieval (IMMR), where the query is an image and the doc is an entity with both image and textual description.
no code implementations • 6 May 2023 • Xu Chen, Zida Cheng, Shuai Xiao, Xiaoyi Zeng, Weilin Huang
The translation network is able to compute features from two domains with heterogeneous inputs separately by designing two independent branches, and then learn meaningful cross-domain knowledge using a designed cross-supervised feature translator.
no code implementations • 23 Oct 2021 • Zida Cheng, Siheng Chen, Ya zhang
Spatio-temporal graph signal analysis has a significant impact on a wide range of applications, including hand/body pose action recognition.
no code implementations • 16 Jul 2021 • Zida Cheng, Siheng Chen, Ya zhang
Experiments are conducted on FPHA and HO-3D datasets.