Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Tang, Haihong"'
Autor:
Cai, Jiong, Jiang, Yong, Zhang, Yue, Jiang, Chengyue, Yu, Ke, Ji, Jianhui, Xiao, Rong, Tang, Haihong, Wang, Tao, Huang, Zhongqiang, Xie, Pengjun, Huang, Fei, Tu, Kewei
Discovering the intended items of user queries from a massive repository of items is one of the main goals of an e-commerce search system. Relevance prediction is essential to the search system since it helps improve performance. When online serving
Externí odkaz:
http://arxiv.org/abs/2307.00370
Autor:
Wang, Yibo, Yang, Wenhao, Jiang, Wei, Lu, Shiyin, Wang, Bing, Tang, Haihong, Wan, Yuanyu, Zhang, Lijun
Projection-free online learning has drawn increasing interest due to its efficiency in solving high-dimensional problems with complicated constraints. However, most existing projection-free online methods focus on minimizing the static regret, which
Externí odkaz:
http://arxiv.org/abs/2305.11726
Autor:
Wang, Bing1 (AUTHOR) wb18354889982@163.com, Tang, Haihong1,2 (AUTHOR) chen@bio.mie-u.ac.jp, Zu, Xiaojia1 (AUTHOR), Chen, Peng2 (AUTHOR)
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6801. 27p.
Logical rules, both transferable and explainable, are widely used as weakly supervised signals for many downstream tasks such as named entity tagging. To reduce the human effort of writing rules, previous researchers adopt an iterative approach to au
Externí odkaz:
http://arxiv.org/abs/2210.02768
Publikováno v:
In Heliyon 15 September 2024 10(17)
Autor:
Weng, Lichun, Wei, Liutong, Zhang, Qiuwan, Sun, Taotao, Kuang, Xiaojun, Huang, Qin, Cao, Yunyun, Liu, Xiaoyi, Wang, Qian, Guo, Ying, Sun, Junyan, Wang, Lulu, Tang, Haihong, Yang, Haiou, Chen, Qian, Zhang, Jian, Wang, Bingshun, Qian, Zhaoxia, Lai, Dongmei
Publikováno v:
In eClinicalMedicine August 2024 74
Autor:
Gao, Xin, Liu, Zhenjiang, Feng, Zunlei, Shen, Chengji, Ou, Kairi, Tang, Haihong, Song, Mingli
Image virtual try-on task has abundant applications and has become a hot research topic recently. Existing 2D image-based virtual try-on methods aim to transfer a target clothing image onto a reference person, which has two main disadvantages: cannot
Externí odkaz:
http://arxiv.org/abs/2107.13156
Previous studies show effective of pre-trained language models for sentiment analysis. However, most of these studies ignore the importance of sentimental information for pre-trained models.Therefore, we fully investigate the sentimental information
Externí odkaz:
http://arxiv.org/abs/2105.12305
Autor:
Li, Houyi, Chen, Zhihong, Li, Chenliang, Xiao, Rong, Deng, Hongbo, Zhang, Peng, Liu, Yongchao, Tang, Haihong
The large-scale recommender system mainly consists of two stages: matching and ranking. The matching stage (also known as the retrieval step) identifies a small fraction of relevant items from billion-scale item corpus in low latency and computationa
Externí odkaz:
http://arxiv.org/abs/2105.08246
Autor:
Lei, Chenyi, Luo, Shixian, Liu, Yong, He, Wanggui, Wang, Jiamang, Wang, Guoxin, Tang, Haihong, Miao, Chunyan, Li, Houqiang
The pre-trained neural models have recently achieved impressive performances in understanding multimodal content. However, it is still very challenging to pre-train neural models for video and language understanding, especially for Chinese video-lang
Externí odkaz:
http://arxiv.org/abs/2104.09411