1 code implementation • 22 Mar 2024 • Giulia Belluccini, Qianying Lin, Bevelynn Williams, Yijun Lou, Zati Vatansever, Martín López-García, Grant Lythe, Thomas Leitner, Ethan Romero-Severson, Carmen Molina-París
We show that a simple model, with two populations of ticks infected with one strain, resident or invasive, and one population of co-infected ticks, does not have Alizon's neutrality property.
1 code implementation • 8 Aug 2022 • Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang
SAM supports efficient training and real-time inference for user behavior sequences with lengths on the scale of thousands.
no code implementations • 29 Sep 2021 • Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang
Extensive empirical studies show that our method outperforms various state-of-the-art sequential modeling methods on both public and industrial datasets for long sequential user behavior modeling.
no code implementations • 19 Jul 2021 • Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da
Combined with the idea of Bayesian Optimization and gradient descent, we solve the online contextual Black-Box Optimization task that finds the optimal weights for sub-models given a chosen RA model.
no code implementations • 23 Mar 2021 • Junmei Hao, JingCheng Shi, Qing Da, AnXiang Zeng, Yujie Dun, Xueming Qian, Qianying Lin
Each interest of the user should have a certain degree of distinction, thus we introduce three strategies as the diversity regularized separator to separate multiple user interest vectors.