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Zero-Shot Recommender Systems [article]

Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang
2021 arXiv   pre-print
Performance of recommender systems (RS) relies heavily on the amount of training data available. This poses a chicken-and-egg problem for early-stage products, whose amount of data, in turn, relies on the performance of their RS. On the other hand, zero-shot learning promises some degree of generalization from an old dataset to an entirely new dataset. In this paper, we explore the possibility of zero-shot learning in RS. We develop an algorithm, dubbed ZEro-Shot Recommenders (ZESRec), that is
more » ... rained on an old dataset and generalize to a new one where there are neither overlapping users nor overlapping items, a setting that contrasts typical cross-domain RS that has either overlapping users or items. Different from categorical item indices, i.e., item ID, in previous methods, ZESRec uses items' natural-language descriptions (or description embeddings) as their continuous indices, and therefore naturally generalize to any unseen items. In terms of users, ZESRec builds upon recent advances on sequential RS to represent users using their interactions with items, thereby generalizing to unseen users as well. We study three pairs of real-world RS datasets and demonstrate that ZESRec can successfully enable recommendations in such a zero-shot setting, opening up new opportunities for resolving the chicken-and-egg problem for data-scarce startups or early-stage products.
arXiv:2105.08318v2 fatcat:tbpnyiaefrhnlnlwsjqj3qlmbu

An Assisted Diagnosis Model for Cancer Patients Based on Federated Learning

Zezhong Ma, Zezhong Ma, Zezhong Ma, Zezhong Ma, Meng Zhang, Meng Zhang, Jiajia Liu, Aimin Yang, Aimin Yang, Aimin Yang, Aimin Yang, Aimin Yang (+7 others)
2022 Frontiers in Oncology  
by: Shahid Mumtaz, Instituto de Telecomunicações, Portugal Reviewed by: Marcin Wozniak, Silesian University of Technology, Poland Omar Abu Arqub, Al-Balqa Applied University, Jordan Copyright © 2022 Ma  ...  Machine Intelligence. (2021). doi: 10.13140/RG.2.2.22395.95524 CrossRef Full Text | Google Scholar Keywords: cancer, machine learning, federated learning, cancer recurrence, diagnostic model Citation: Ma  ... 
doi:10.3389/fonc.2022.860532 pmid:35311106 pmcid:PMC8928102 doaj:fdb3fceabc5e4652bfbc17143aa0afa5 fatcat:zq7atfzlonhpzmqbw2ajjo4ryu

Preparation and Properties of Corrosion-Resistant Coatings From Waterborne Polyurethane Modified Epoxy Emulsion

Jianjun Zhang, Hao Huang, Jun Ma, Luyao Huang, Lu Huang, Xiaohua Chen, Hao Zeng, Sude Ma
2019 Frontiers in Materials  
., inorganic additives) are often applied as corrosion inhibitors or fillers (Hao et al., 2012; Ma et al., 2012b; Cheek et al., 2013; Liang et al., 2013; Suleiman et al., 2014; Das et al., 2017) .  ...  Water Resistance The water resistance test was characterized by the water absorption rate and determined by the weighing method as follows (Ma et al., 2012a) .  ... 
doi:10.3389/fmats.2019.00185 fatcat:gcsvunvty5c3da65ir5kl2q5ze

A Substantia Innominata-midbrain Circuit Controls a General Aggressive State [article]

Zhenggang Zhu, Qingqing Ma, Hongbin Yang, Lu Miao, Lina Pan, Kaiyuan Li, Xiaoxing Zhang, Jintao Wu, Sijia Hao, Shen Lin, Xiulin Ma, Yizhe Hao (+2 others)
2020 bioRxiv   pre-print
Animals display various aggressive behaviors essential for survival, while uncontrollable attacks and abnormal aggressive states have massive social costs. Neural circuits regulating specific forms of aggression under defined conditions have been described, but whether there are circuits governing a general aggressive state to promote diverse aggressive behaviors remains unknown. Here, we found that posterior substantia innominata (pSI) neurons responded to multiple aggression-provoking cues
more » ... h graded activity of differential dynamics, predicting the aggressive state and the topography of aggression in mice. Activation of pSI neurons projecting to the periaqueductal gray (PAG) increased aggressive arousal and robustly initiated/promoted all the types of aggressive behavior examined in an activity level-dependent manner. Inactivation of the pSI circuit largely blocked diverse aggressive behaviors, but not mating. By encoding a general aggressive state, the pSI-PAG circuit universally drives multiple aggressive behaviors and thus may provide a potential target for alleviating human pathological aggression.
doi:10.1101/2020.04.22.047670 fatcat:h4knr4bflfcjrju3gotthamnsu

Galton's Family Heights Data Revisited [article]

Hao Han, Yeming Ma, Wei Zhu
2015 arXiv   pre-print
M. (1986), The History of Statistics: The Measurement of Uncertainty before 1900, Cambridge, MA: Harvard University Press. Stigler, S.  ... 
arXiv:1508.02942v1 fatcat:woja2e32s5f2ldedgrug7mdxmi

KeyVec: Key-semantics Preserving Document Representations [article]

Bin Bi, Hao Ma
2017 arXiv   pre-print
Previous studies have demonstrated the empirical success of word embeddings in various applications. In this paper, we investigate the problem of learning distributed representations for text documents which many machine learning algorithms take as input for a number of NLP tasks. We propose a neural network model, KeyVec, which learns document representations with the goal of preserving key semantics of the input text. It enables the learned low-dimensional vectors to retain the topics and
more » ... rtant information from the documents that will flow to downstream tasks. Our empirical evaluations show the superior quality of KeyVec representations in two different document understanding tasks.
arXiv:1709.09749v1 fatcat:qglnky6mj5ewlntybbtfl6czji

Bioinformatics analysis of genetic variants of endoplasmic reticulum aminopeptidase 1 in ankylosing spondylitis

Xiaoli Wang, Jie Ma, Jianbing Ma, Yurong Wen, Liesu Meng, Hao Yang, Rui Zhang, Dingjun Hao
2017 Molecular Medicine Reports  
According to the results of the first genome-wide association study of ankylosing spondylitis (AS), endoplasmic reticulum aminopeptidase 1 (ERAP1) may serve an important role. However, a number of case-control studies have not been able to replicate this result using the same genetic markers. In the present study, the role of common genetic variants of ERAP1 in AS was investigated using two-stage bioinformatics analysis. In the first stage, a classical metaanalysis was performed to assess AS
more » ... ceptibility markers in ERAP1 using data from available published case-control association studies. The summary odds ratios for 10 single nucleotide polymorphisms (SNPs) were observed to be statistically significant in different studies. In the second stage, the functional effects of these genetic ERAP1 variants were investigated using prediction tools and structural analyses. The K528R (rs30187) substitution SNP in ERAP1 was termed as likely damaging by PolyPhen-2 software, was observed to be located close to the entrance of the substrate pocket, and was predicted to contribute to reduced ERAP1 aminopeptidase activity. In addition, the R725Q (rs17482078) SNP, which was an additional potentially damaging substitution, was suggested to decrease the enzymatic activity of ERAP1, as this substitution may lead to the loss of two hydrogen bonds between R725 and D766 and affect the stability of the C-terminus of ERAP1. In conclusion, the results of the two-stage bioinformatics analysis supported the hypothesis that ERAP1 may present an important susceptibility gene for AS. In addition, the results revealed that two functional SNPs (rs30187 and rs17482078) demonstrated the potential to decrease the enzymatic activity of ERAP1 by affecting its protein structure. Further protein structure-guided studies of the specificity and activity of these ERAP1 variants are therefore warranted.
doi:10.3892/mmr.2017.7417 pmid:28901420 pmcid:PMC5865822 fatcat:rchwuiyt7vfbdbjrh65tm5j7xm

Emergence of Maximal Symmetry [article]

Csaba Csáki, Teng Ma, Jing Shu, Jiang-Hao Yu
2018 arXiv   pre-print
An emergent global symmetry of the composite sector (called maximal symmetry) can soften the ultraviolet behavior of the Higgs potential and also significantly modify its structure. We explain the conditions for the emergence of maximal symmetry as well as its main consequences. We present two simple implementations and generalize both to N-site as well as full warped extra dimensional models. The gauge symmetry of these models enforces the emergence of maximal symmetry. The corresponding Higgs
more » ... potentials have unique properties: one case minimizes the tuning while the other allows heavy top partners evading direct LHC bounds.
arXiv:1810.07704v1 fatcat:ijhlaer7tvbglpiafe3odhnzx4

Luna: Linear Unified Nested Attention [article]

Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021 arXiv   pre-print
The dataset is pre-processed following (Ma, 2020) , using the scripts from FairSeq package 4 .  ...  For APOLLO, following Ma (2020) , we decayed the learning rate at the 300, 000 and 450, 000 updates by decay rate 0.1.  ... 
arXiv:2106.01540v2 fatcat:yia3iqkgarglfdxcnvtleivzoa

NeurMiPs: Neural Mixture of Planar Experts for View Synthesis [article]

Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang
2022 arXiv   pre-print
We present Neural Mixtures of Planar Experts (NeurMiPs), a novel planar-based scene representation for modeling geometry and appearance. NeurMiPs leverages a collection of local planar experts in 3D space as the scene representation. Each planar expert consists of the parameters of the local rectangular shape representing geometry and a neural radiance field modeling the color and opacity. We render novel views by calculating ray-plane intersections and composite output colors and densities at
more » ... ntersected points to the image. NeurMiPs blends the efficiency of explicit mesh rendering and flexibility of the neural radiance field. Experiments demonstrate superior performance and speed of our proposed method, compared to other 3D representations in novel view synthesis.
arXiv:2204.13696v1 fatcat:avwydopuqvfirofnoa43sy4ule

MicroRNA-211 suppresses prostate cancer proliferation by targeting SPARC

Peng Hao, Bo Kang, Guoqing Yao, Wenqi Hao, Feihong Ma
2018 Oncology Letters  
membrane (Beyotime Institute of Biotechnology), blocked in 5% fat-free milk at room temperature for 1 h and incubated with primary antibodies anti-SPARC (1:1,000; cat. no. ab207743; Abcam, Cambridge, MA  ... 
doi:10.3892/ol.2018.7877 pmid:29541199 pmcid:PMC5835857 fatcat:4hzaxlfh2vblnb45ngoqdzs2mm

Conformal Mapping for Multiple Terminals [article]

Weimin Wang, Wenying Ma, Qiang Wang, Hao Ren
2015 arXiv   pre-print
Conformal mapping is an important mathematical tool in many physical and engineering fields, especially in electrostatics, fluid mechanics, classical mechanics, and transformation optics. However in the existing textbooks and literatures, it is only adopted to solve the problems which have only two terminals. Two terminals with electric potential differences, pressure difference, optical path difference, etc., can be mapped conformally onto a solvable structure, e.g., a rectangle, where the two
more » ... terminals are mapped onto two opposite edges of the rectangle. Here we show a conformal mapping method for multiple terminals, which is more common in practical applications. Through accurate analysis of the boundary conditions, additional terminals or boundaries are folded in the inner of the mapped rectangle. Then the solution will not be influenced. The method is described in several typical situations and two application examples are detailed. The first example is an electrostatic actuator with three electrodes. A previous literature dealt with this problem by approximately treat the three electrodes as two electrodes. Based on the proposed method, a preciser result is achieved in our paper. The second example is a light beam splitter designed by transformation optics, which is recently attracting growing interests around the world. The splitter has three ports, one for input and two for output. Based on the proposed method, a relatively simple and precise solution compared with previously reported results is obtained.
arXiv:1511.02639v1 fatcat:poflq6ekorhc3ao7km5lspwbzq

Collaboration Diversity and Scientific Impact [article]

Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang
2018 arXiv   pre-print
The shift from individual effort to collaborative output has benefited science, with scientific work pursued collaboratively having increasingly led to more highly impactful research than that pursued individually. However, understanding of how the diversity of a collaborative team influences the production of knowledge and innovation is sorely lacking. Here, we study this question by breaking down the process of scientific collaboration of 32.9 million papers over the last five decades. We
more » ... that the probability of producing a top-cited publication increases as a function of the diversity of a team of collaborators---namely, the distinct number of institutions represented by the team. We discover striking phenomena where a smaller, yet more diverse team is more likely to generate highly innovative work than a relatively larger team within one institution. We demonstrate that the synergy of collaboration diversity is universal across different generations, research fields, and tiers of institutions and individual authors. Our findings suggest that collaboration diversity strongly and positively correlates with the production of scientific innovation, giving rise to the potential revolution of the policies used by funding agencies and authorities to fund research projects, and broadly the principles used to organize teams, organizations, and societies.
arXiv:1806.03694v1 fatcat:hzvtlxeoqvbzjd5mvffzr6klqe

Pose Estimation Based on 3D Models [article]

Chuiwen Ma, Hao Su, Liang Shi
2015 arXiv   pre-print
In this paper, we proposed a pose estimation system based on rendered image training set, which predicts the pose of objects in real image, with knowledge of object category and tight bounding box. We developed a patch-based multi-class classification algorithm, and an iterative approach to improve the accuracy. We achieved state-of-the-art performance on pose estimation task.
arXiv:1506.06274v1 fatcat:qakgbusu4bacxacdof62ojwiqa

Chemical Constituents ofSambucusL

Yangmin Ma, Hao Wu
2012 Youji huaxue  
The plants of Sambucus L. have good medical values, most of the roots and fruits can be used as medicine. In this review, the constituents including flavones, triterpenes, iridoid glycosides, phenols and phenolic glycosides, lignans, cyanophoric glycosides being covered during the recent twenty years are summarized. The inhibitory action of HIV-RT, antivirus, antiphlogosis, and labor pain activities are introduced in brief. On this basis, the medicine prospections of Sambucus L. are also prospected.
doi:10.6023/cjoc201204025 fatcat:5bce2q62yrfzpgjobvp7iai5ky
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