Zobrazeno 1 - 4
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pro vyhledávání: '"Xun, Jiahao"'
Autor:
Wang, Ye, Xun, Jiahao, Hong, Minjie, Zhu, Jieming, Jin, Tao, Lin, Wang, Li, Haoyuan, Li, Linjun, Xia, Yan, Zhao, Zhou, Dong, Zhenhua
Generative retrieval has recently emerged as a promising approach to sequential recommendation, framing candidate item retrieval as an autoregressive sequence generation problem. However, existing generative methods typically focus solely on either b
Externí odkaz:
http://arxiv.org/abs/2406.14017
Autor:
Yao, Dong, Zhu, Jieming, Xun, Jiahao, Zhang, Shengyu, Zhao, Zhou, Deng, Liqun, Zhang, Wenqiao, Dong, Zhenhua, Jiang, Xin
Recent research in self-supervised contrastive learning of music representations has demonstrated remarkable results across diverse downstream tasks. However, a prevailing trend in existing methods involves representing equally-sized music clips in e
Externí odkaz:
http://arxiv.org/abs/2312.06197
Autor:
Xun, Jiahao, Zhang, Shengyu, Yang, Yanting, Zhu, Jieming, Deng, Liqun, Zhao, Zhou, Dong, Zhenhua, Li, Ruiqi, Zhang, Lichao, Wu, Fei
In the field of music information retrieval (MIR), cover song identification (CSI) is a challenging task that aims to identify cover versions of a query song from a massive collection. Existing works still suffer from high intra-song variances and in
Externí odkaz:
http://arxiv.org/abs/2307.09775
Autor:
Xun, Jiahao, Zhang, Shengyu, Zhao, Zhou, Zhu, Jieming, Zhang, Qi, Li, Jingjie, He, Xiuqiang, He, Xiaofei, Chua, Tat-Seng, Wu, Fei
There is a soaring interest in the news recommendation research scenario due to the information overload. To accurately capture users' interests, we propose to model multi-modal features, in addition to the news titles that are widely used in existin
Externí odkaz:
http://arxiv.org/abs/2109.12651