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5. Self-supervised Representation Learning From Random Data Projectors

Author

Sui, Yi, Wu, Tongzi, Cresswell, Jesse C., Wu, Ga, Stein, George, Huang, Xiao Shi, Zhang, Xiaochen, and Volkovs, Maksims

Subjects
Computer Science - Machine Learning
Abstract

Self-supervised representation learning~(SSRL) has advanced considerably by exploiting the transformation invariance assumption under artificially designed data augmentations. While augmentation-based SSRL algorithms push the boundaries of performance in computer vision and natural language processing, they are often not directly applicable to other data modalities, and can conflict with application-specific data augmentation constraints. This paper presents an SSRL approach that can be applied to any data modality and network architecture because it does not rely on augmentations or masking. Specifically, we show that high-quality data representations can be learned by reconstructing random data projections. We evaluate the proposed approach on a wide range of representation learning tasks that span diverse modalities and real-world applications. We show that it outperforms multiple state-of-the-art SSRL baselines. Due to its wide applicability and strong empirical results, we argue that learning from randomness is a fruitful research direction worthy of attention and further study., Comment: Published as a conference paper of ICLR 2024. https://openreview.net/pdf?id=EpYnZpDpsQ

Published
2023

15. Unraveling the genetic architecture of congenital vertebral malformation with reference to the developing spine

Author

Zhao, Sen, Zhao, Hengqiang, Zhao, Lina, Cheng, Xi, Zheng, Zhifa, Wu, Mengfan, Wen, Wen, Wang, Shengru, Zhou, Zixiang, Xie, Haibo, Ruan, Dengfeng, Li, Qing, Liu, Xinquan, Ou, Chengzhu, Li, Guozhuang, Zhao, Zhengye, Chen, Guilin, Niu, Yuchen, Yin, Xiangjie, Hu, Yuhong, Zhang, Xiaochen, Liu, Pengfei, Qiu, Guixing, Liu, Wanlu, Zhao, Chengtian, Wu, Zhihong, Zhang, Jianguo, and Wu, Nan

Published
2024
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18. Microstructure and properties of nano-TiCp/GH3536 composite powders prepared by two-step method

Author

LIU Jiawei, SONG Meihui, LI Yan, ZHANG Yu, LI Yanchun, ZHANG Xiaochen, Andrey Samokhin, and YANG Huimin

Subjects
thermal plasma spheroidization, nano-ticp/gh3536, composite material, microstructure, performance, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

Nano-TiCp/GH3536 composite powders were prepared by mechanical alloying （MA） and thermal plasma spheroidization （TPS） methods. The flowability， bulk density， particle size distribution， sphericity， and microstructure of the composite powders before and after MA-TPS treatment were studied by Hall flow meter，Scott volumeter， XRD， particle size analyzer， scanning electron microscope， and transmission electron microscope. The results show that the preformed powders obtained by MA-5 h treatment are irregular shape powders with non-uniform adhesion of nano-TiC particles on the surface of the GH3536 substrate. Compared with the original GH3536 powders， the number of equiaxed grains in the preformed powders increases and the crystal grains are refined， but the flowability and bulk density decrease.The nano-TiCp/GH3536 composite powders obtained by the second TPS treatment are spherical， and the original irregular nano-TiC particles are spheroidized and uniformly distributed inside the GH3536 substrate. After removing the submicron particles with an average particle size of 183.27 nm， the flowability， bulk density， and sphericity of TPS composite powders are further improved.The TEM images of submicron particles show that the nanoscale GH3536 microspheres are uniformly coated with a layer of TiC， the structure is similar to the core-shell， and spherical TiC particles are found in the powder. The average spherical degree， average particle size， flowability， and bulk density of the nano-TiCp/GH3536 composite powders prepared by the two-step method are 0.965，33.65 μm，17.1 s/50 g，and 4.184 g/cm3， respectively.

Published
2024
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19. Emotion Detection in Unfix-length-Context Conversation

Author

Zhang, Xiaochen and Tang, Daniel

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

We leverage different context windows when predicting the emotion of different utterances. New modules are included to realize variable-length context: 1) two speaker-aware units, which explicitly model inner- and inter-speaker dependencies to form distilled conversational context, and 2) a top-k normalization layer, which determines the most proper context windows from the conversational context to predict emotion. Experiments and ablation studies show that our approach outperforms several strong baselines on three public datasets.

Published
2023

20. The Structure and Strength Analysis of an Automated Prefabricated Component Manufacturing Mold

Author

Zhang, Xiaochen, Wu, Yijun, Long, Yanze, Zheng, Zheng, Editor-in-Chief, Xi, Zhiyu, Associate Editor, Gong, Siqian, Series Editor, Hong, Wei-Chiang, Series Editor, Mellal, Mohamed Arezki, Series Editor, Narayanan, Ramadas, Series Editor, Nguyen, Quang Ngoc, Series Editor, Ong, Hwai Chyuan, Series Editor, Sun, Zaicheng, Series Editor, Ullah, Sharif, Series Editor, Wu, Junwei, Series Editor, Zhang, Baochang, Series Editor, Zhang, Wei, Series Editor, Zhu, Quanxin, Series Editor, Zheng, Wei, Series Editor, Gao, Qingfei, editor, Jiang, Liqiang, editor, and Chen, Yu, editor

Published
2024
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21. Foundations of Generative AI

Author

Huang, Ken, Wang, Yang, Zhang, Xiaochen, Huang, Ken, editor, Wang, Yang, editor, Goertzel, Ben, editor, Li, Yale, editor, Wright, Sean, editor, and Ponnapalli, Jyoti, editor

Published
2024
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22. Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding

Author

Zhou, Yifan, Luo, Tian-jian, Zhang, Xiaochen, Han, Te, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Qingshan, editor, Wang, Hanzi, editor, Ma, Zhanyu, editor, Zheng, Weishi, editor, Zha, Hongbin, editor, Chen, Xilin, editor, Wang, Liang, editor, and Ji, Rongrong, editor

Published
2024
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42. A Bibliometric Analysis of the Global Research on Multimorbidity in Older Adults from 2000 to 2023

Author

ZHANG Ning, ZHANG Xiaochen, HE Mu, SUN Xiaohong, KANG Lin, QU Xuan, and ZHU Minglei

Subjects
multimorbidity, older adults, bibliometrics, visual analysis, research hot spots, clinical practice, Medicine
Abstract

ObjectiveTo analyze the research trends and cutting-edge hot spots in the field of multimorbidity in older adults from 2000 to 2023 to provide reference for related research.MethodsWe conducted a search in the Web of Science Core Collection database, specifically looking for articles or reviews in English on multimorbidity in older adults published between January 1, 2000 and October 24, 2023. VOSviewer 1.6.18 software was used to extract the contents in the literature and draw the cooperative network diagram of high-producing countries(≥30 articles) and institutions(≥43 articles) as well as the timeline diagram of high-frequency keywords(≥74 occurrences) co-occurrence relationship. CiteSpace 6.1.R6 software was used to co-occur and cluster analyze the information of authors, research institutions and countries. The "bibliometrix" package in R was used to analyze the evolution of keywords in the literature.ResultsA total of 2590 documents consisting of 2230 Articles and 360 Reviews were obtained. The worldwide publication count significantly increased since 2000. Among the countries, the United States had the highest number of publications (35.02%, 907/2590) and total citations(31 343 times) in this field. The University of Toronto in Canada had the largest number of articles(2.59%, 67/2590). Jenny Ploeg of McMaster University was recognized as the most prolific author(1.24%, 32/2590). When it came to journals, BMC Geriatrics had the highest amount of literature related to multimorbidity(3.82%, 99/2590). The key areas of research in this field included multimorbidity, older adults, frailty, aging, and polypharmacy. Notably, there was growing interest in studying the relationship between multimorbidity and aging in older adults, as well as the impact of frailty and polypharmacy on multimorbidities.ConclusionsIn recent years, research on multimorbidities in the elderly has primarily centered around examining the correlation between comorbidities and aging, as well as exploring the impact of frailty and polypharmacy on individuals with multimorbidities. Future research could delve into primary health care, comprehensive geriatric assessment for older adults with multimorbidities, and maintenance of their overall quality of life.

Published
2023
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