Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Gao, Dehong"'
Autor:
Yang, Zhiming, Gao, Haining, Gao, Dehong, Yang, Luwei, Yang, Libin, Cai, Xiaoyan, Ning, Wei, Zhang, Guannan
Click-through rate (CTR) prediction is one of the fundamental tasks in the industry, especially in e-commerce, social media, and streaming media. It directly impacts website revenues, user satisfaction, and user retention. However, real-world product
Externí odkaz:
http://arxiv.org/abs/2408.08913
Autor:
Chen, Kaidi, Chen, Ben, Gao, Dehong, Dai, Huangyu, Jiang, Wen, Ning, Wei, Yu, Shanqing, Yang, Libin, Cai, Xiaoyan
Existing Neural Machine Translation (NMT) models mainly handle translation in the general domain, while overlooking domains with special writing formulas, such as e-commerce and legal documents. Taking e-commerce as an example, the texts usually incl
Externí odkaz:
http://arxiv.org/abs/2403.03689
Autor:
Zheng, Peng, Gao, Dehong, Fan, Deng-Ping, Liu, Li, Laaksonen, Jorma, Ouyang, Wanli, Sebe, Nicu
We introduce a novel bilateral reference framework (BiRefNet) for high-resolution dichotomous image segmentation (DIS). It comprises two essential components: the localization module (LM) and the reconstruction module (RM) with our proposed bilateral
Externí odkaz:
http://arxiv.org/abs/2401.03407
We present a new encoder-decoder generative network dubbed EdgeNet, which introduces a novel encoder-decoder framework for data-driven auction design in online e-commerce advertising. We break the neural auction paradigm of Generalized-Second-Price(G
Externí odkaz:
http://arxiv.org/abs/2305.06158
Autor:
Shen, Guangyuan, Sun, Shenjie, Gao, Dehong, Li, Shaolei, Yang, Libin, Shi, Yongping, Ning, Wei
In online advertising (Ad), advertisers are always eager to know how to globally optimize their budget allocation strategies across different channels for more conversions such as orders, payments, etc. Ignoring competition among different advertiser
Externí odkaz:
http://arxiv.org/abs/2305.06883
Same-style products retrieval plays an important role in e-commerce platforms, aiming to identify the same products which may have different text descriptions or images. It can be used for similar products retrieval from different suppliers or duplic
Externí odkaz:
http://arxiv.org/abs/2302.05093
Daily images may convey abstract meanings that require us to memorize and infer profound information from them. To encourage such human-like reasoning, in this work, we teach machines to predict where and when it was taken rather than performing basi
Externí odkaz:
http://arxiv.org/abs/2302.00952
Autor:
Ji, Ge-Peng, Zhuge, Mingcheng, Gao, Dehong, Fan, Deng-Ping, Sakaridis, Christos, Van Gool, Luc
Publikováno v:
Machine Intelligence Research. 20, 421-434 (2023)
We present a masked vision-language transformer (MVLT) for fashion-specific multi-modal representation. Technically, we simply utilize vision transformer architecture for replacing the BERT in the pre-training model, making MVLT the first end-to-end
Externí odkaz:
http://arxiv.org/abs/2210.15110
Autor:
Shen, Guangyuan, Gao, Dehong, Song, Duanxiao, Yang, Libin, Zhou, Xukai, Pan, Shirui, Lou, Wei, Zhou, Fang
Client selection schemes are widely adopted to handle the communication-efficient problems in recent studies of Federated Learning (FL). However, the large variance of the model updates aggregated from the randomly-selected unrepresentative subsets d
Externí odkaz:
http://arxiv.org/abs/2208.05135
Autor:
Gao, Dehong, Ma, Yufei, Liu, Sen, Song, Mengfei, Jin, Linbo, Jiang, Wen, Wang, Xin, Ning, Wei, Yu, Shanqing, Xuan, Qi, Cai, Xiaoyan, Yang, Libin
Publikováno v:
In Knowledge-Based Systems 5 September 2024 299
