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您的检索式：作者名="Wanlu ZHENG"
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| 1 | Multi-scale discrepancy adversarial network for cross-corpus speech emotion recognition显示文摘Background One of the most critical issues in human-computer interaction applications is recognizing human emotions based on speech.In recent years,the challenging problem of cross-corpus speech emotion recognition(SER)has generated extensive research.Nevertheless,the domain discrepancy between training data and testing data remains a major challenge to achieving improved system performance.Methods This paper introduces a novel multi-scale discrepancy adversarial(MSDA)network for conducting multiple timescales domain adaptation for cross-corpus SER,i.e.,integrating domain discriminators of hierarchical levels into the emotion recognition framework to mitigate the gap between the source and target domains.Specifically,we extract two kinds of speech features,i.e.,handcraft features and deep features,from three timescales of global,local,and hybrid levels.In each timescale,the domain discriminator and the feature extrator compete against each other to learn features that minimize the discrepancy between the two domains by fooling the discriminator.Results Extensive experiments on cross-corpus and cross-language SER were conducted on a combination dataset that combines one Chinese dataset and two English datasets commonly used in SER.The MSDA is affected by the strong discriminate power provided by the adversarial process,where three discriminators are working in tandem with an emotion classifier.Accordingly,the MSDA achieves the best performance over all other baseline methods.Conclusions The proposed architecture was tested on a combination of one Chinese and two English datasets.The experimental results demonstrate the superiority of our powerful discriminative model for solving cross-corpus SER. | Wanlu ZHENG Wenming ZHENG Yuan ZONG | 2021 | Virtual Reality & Intelligent Hardware2021，3，1： | 2 |
| 2 | Digital light processing (DLP)-based (bio)printing strategies for tissue modeling and regeneration显示文摘Digital light processing(DLP)-based bioprinting technology has recently aroused considerable concerns as a strategy to deliver biomedical materials and/or specific cells to create sophisticated structures for various tissue modeling and regeneration.In this review,we display a concise introduction of DLP bioprinting,and a further discussion on the design and manufacture of DLP(bio)printer with varied bioinks and their biomedical applications toward drug screening,disease modeling,tissue repair,and regenerative medicine.Finally,the advantages,challenges,and perspectives of the DLP printing platforms are detailed.It is believed that DLP bioprinting will play a decisive role in the field of tissue model and regenerative medicine,mainly due to its time-efficient,higher resolution,and amenability to automation for various tissue needs. | Hongbin Li Jiliang Dai Zixuan Wang Heshan Zheng Wanlu Li Mian Wang Feng Cheng | 2023 | Aggregate2023，4，2： | 0 |
| 3 | Dissecting peri-implantation development using cultured human embryos and embryo-like assembloids显示文摘Studies of cultured embryos have provided insights into human peri-implantation development.However,detailed knowledge of peri-implantation lineage development as well as underlying mechanisms remains obscure.Using 3D-cultured human embryos,herein we report a complete cell atlas of the early post-implantation lineages and decipher cellular composition and gene signatures of the epiblast and hypoblast derivatives.In addition,we develop an embryo-like assembloid(E-assembloid)by assembling naive hESCs and extraembryonic cells.Using human embryos and E-assembloids,we reveal that WNT,BMP and Nodal signaling pathways synergistically,but functionally differently,orchestrate human peri-implantation lineage development.Specially,we dissect mechanisms underlying extraembryonic mesoderm and extraembryonic endoderm specifications.Finally,an improved E-assembloid is developed to recapitulate the epiblast and hypoblast development and tissue architectures in the pregastrulation human embryo.Our findings provide insights into human peri-implantation development,and the E-assembloid offers a useful model to disentangle cellular behaviors and signaling interactions that drive human embryogenesis. | Zongyong Ai Baohua Niu Yu Yin Lifeng Xiang Gaohui Shi Kui Duan Sile Wang Yingjie Hu Chi Zhang Chengting Zhang Lujuan Rong Ruize Kong Tingwei Chen Yixin Guo Wanlu Liu Nan Li Shumei Zhao Xiaoqing Zhu Xuancheng Mai Yonggang Li Ze Wu Yi Zheng Jianping Fu Weizhi Ji Tianqing Li | 2023 | Cell Research2023，33，9： | 0 |
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