no code implementations • 21 Jun 2024 • Ya Jiang, Qing Wang, Jun Du, Maocheng Hu, Pengfei Hu, Zeyan Liu, Shi Cheng, Zhaoxu Nian, Yuxuan Dong, Mingqi Cai, Xin Fang, Chin-Hui Lee
Evaluation results on the Detection and Classification of Acoustic Scenes and Events (DCASE) 2023 Challenge data set demonstrate significant improvements in SELD performances.
no code implementations • 11 Sep 2023 • Haotian Wang, Yuxuan Xi, Hang Chen, Jun Du, Yan Song, Qing Wang, Hengshun Zhou, Chenxi Wang, Jiefeng Ma, Pengfei Hu, Ya Jiang, Shi Cheng, Jie Zhang, Yuzhe Weng
Three different structures based on attention-guided feature gathering (AFG) are designed for deep feature fusion.
no code implementations • 12 Mar 2023 • Qi Zhao, Qiqi Duan, Bai Yan, Shi Cheng, Yuhui Shi
Metaheuristics have gained great success in academia and practice because their search logic can be applied to any problem with available solution representation, solution quality evaluation, and certain notions of locality.
1 code implementation • 3 Apr 2022 • Qi Zhao, Bai Yan, Xianglong Chen, Taiwei Hu, Shi Cheng, Yuhui Shi
However, the specific algorithm prototype and linear algorithm representation in the current automated design pipeline restrict the design within a fixed algorithm structure, which hinders discovering novelties and diversity across the metaheuristic family.
no code implementations • 20 Dec 2021 • Shi Cheng, Zhuofei Ding, Songpeng Yan
Transliteration is a task of translating named entities from a language to another, based on phonetic similarity.
no code implementations • 24 Oct 2017 • Wei Chen, YingYing Cao, Shi Cheng, Yifei Sun, Qunfeng Liu, Yun Li
Through modeling human's brainstorming process, the brain storm optimization (BSO) algorithm has become a promising population-based evolutionary algorithm.
no code implementations • 12 Aug 2016 • Bin Liu, Shi Cheng, Yuhui Shi
Observing that the Student's t distribution has heavier and longer tails than the Gaussian, which may be beneficial for exploring the solution space, we propose a novel EDA algorithm termed ESTDA, in which the Student's t distribution, rather than Gaussian, is employed.