Jiayin Qi

Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition. Existing approaches use directional pairwise attention or a message hub to fuse language, visual, and audio modalities. However, these fusion methods are often quadratic in complexity with respect t...

As more and more digital technologies are used in healthcare organizations, the way healthcare workers work and doctor-patient communication are changing. These changes will lead to identity change of healthcare workers. Some scholars try to understand technological changes in terms of the affordance theory. However, there are few relevant studies...

---The original lecture in Chinese can be accessed in BiliBili: https://www.bilibili.com/video/BV1bv4y1t7Fx/---Change address identification is one of the dif- ficulties in bitcoin address clustering as an emerging social computing problem. Most of the current-related research only applies to certain specific types of transactions and faces the pro...

While the blockchain cryptocurrency market is becoming increasingly sought after, the vulnerability of the crypto market has also been brought to the attention of some academics. Based on cryptocurrency price data in TradingView database, this paper studies the effect of high-impact users’ comments on bitcoin price volatility in social media. The r...

The largest Chinese Cryptocurrency Mining Hardware (MH) Company applied half one year on useful life of MH and disclosed it as inventory. However, MH is more a fixed asset according to financial report. We want to know whether the useful life of MH is set reasonable. By proposing economic life method, we find MH’s economic life over one year and it...

As Human-Computer Interaction (HCI) moves towards deep collaboration, it is urgent to study users’ trust in chatbots. This study takes customer service chatbots as an example. Firstly, literature review is conducted on the relevant research on users’ trust in chatbots, and the value chain model of customer service chatbots is analyzed. Taking Taoba...

In recent years, the issue of data privacy has attracted increased attention, and how to achieve effective privacy protection in blockchain is a new research hotspot.In view of the current research status and development trend of blockchain in privacy protection, the privacy protection methods of blockchain in transaction address,prophecy machine a...

[Research purpose]The cross-border data flow has become the focus of international trade negotiations.To actively deal with the problem of cross-border data security， the main bodies represented by the EU have introduced data protection legislation one after an⁃ other. In this context， as enterprises that master massive data， they are more responsi...

The article's explanation could be accessed via Bilibili https://www.bilibili.com/video/bv1FU4y1v7yY --------------------------------------------------------------------------------------- Source Code could be accessed from: https://github.com/ECNU-Cross-Innovation-Lab/LGCCT --------------------------------------------------------------------------...

Presented to Bilibili：https://www.bilibili.com/video/BV1XY411n7rx?vd_source=9dad485ab167164358578deecb64a255#reply126270526800-------------Fusion technology is crucial for multimodal sentiment anal- ysis. Recent attention-based fusion methods demonstrate high performance and strong robustness. However, these ap- proaches ignore the difference in in...

With the intensified social conflicts and cyberspace crises, the public is facing the emotional impact and lack of security feelings responding to emergencies. The most recent research only focuses on the influence of discrete emotions, but the induced stressful feeling of emotional security has not been a concern by the government. In this work, w...

微表情是一种能够体现人真实情感的自发面部动作,其持续时间较短,动作幅度轻微,识别难度较大,但是有重要的研究价值。为解决微表情情感识别问题,提出了一种新型的轻量级微表情识别网络mini-AORCNN。该神经网络以顶点-起始点光流特征为输入,结合残差卷积神经网络与视觉Transformer的相关架构,可以有效完成微表情识别任务。这一网络包含一种参数量更小的新型残差模块,并用自注意力算子替换了最后一个残差块中的卷积算子,从而实现了Bottleneck Transformer架构。这一新型微表情识别网络在中科院CASME系列数据集上经过“留一被试交叉验证”(LOSO)的检验,确定其在情感分类任务上取得了73.09%的平均召回率(UAR)以及72.25%的平均F1-Score(UF1),上述准确率评价...

Cybersecurity insurance is one of the important means of cybersecurity risk management and the development of cyber insurance is inseparable from the support of cyber risk assessment technology. Cyber risk assessment can not only help governments and organizations to better protect themselves from related risks, but also serve as a basis for cybers...

Observing the security and stability of the real economy and social order through the signals transmitted by the financial market has attracted more and more attention. However, the current research in industry and academia mainly depends on economic theories and econometric models. Obtaining the required data is faced with the problems of low samp...

Skeleton‐based action recognition has been extensively studied in recent years and applied in virtual reality, detection systems and other cases with strong requirements for low cost as well as high accuracy, but most of the existing methods mainly focus on complex architecture of deep neural networks without considering computation efficiency. To...

The presentation of this article can be accessed on Bilibili at https://space.bilibili.com/123527/channel/collectiondetail?sid=295940 ---------------------------------- During the SARS-CoV-2 (COIVD-19) outbreak, China repeatedly stressed that the response to the pandemic required action at all levels of government, including the issuance of Pandemi...

Assets such as warehouse receipts are important for enterprises, which can be used to pledge in supply chain finance (SCF). However, traditional pledges are performed manually, which inevitably encounters inefficiency and security problems such as multiple pledges. To improve asset security, we propose a blockchain-based digital asset platform (BDA...

The large-scale application of blockchain technology is an expected to be an inevitable trend. This study revolves around published papers and articles related to blockchain technology, relevance analysis and sorting through the retrieved documents with six core layers of blockchain: Application Layer, Contract Layer, Actuator Layer, Consensus Laye...

Much is known about the relationship between economic growth and satisfaction, while little is known about the relationship between economic growth and dissatisfaction. This study measures the levels of public dissatisfaction in 36 Chinese cities from 2011 to 2018 using data from an official online petition platform. We construct panel data to anal...

Since the rapid spread of the COVID-19 worldwide, the pandemic has led to a huge impact on global sporting events. As a major international event, the 2022 Beijing Winter Olympics has commonalities with the 2008 Beijing Olympics, the 2014 Sochi Winter Olympics, and the 2020 Tokyo Olympics in terms of international public opinion context and epidemi...

As a distributed storage scheme, the blockchain network lacks storage space has been a long-term concern in this field. At present, there are relatively few research on algorithms and protocols to reduce the storage requirement of blockchain, and the existing research has limitations such as sacrificing fault tolerance performance and raising time...

The global epidemic of COVID-19 has made a huge impact on global health and financial markets. And the spread of the virus has stalled economic development in many parts of the world. As stocks and bonds are two important financial assets, How to take appropriate economic policies to restore the stock and bond markets is the focus of governments as...

During major public health emergencies, a series of coupling problems of rumors getting out of control and public psychological imbalance always emerge in social media, which bring great interference for crisis disposal. From the perspective of social psychological stress, it is important to depict the interactive infection law among distinct types...

区块链是近年来炙手可热的技术话题之一，与其相关的研究理论正在不断丰富。然而，距离区块链技术落地仍面临着吞吐量小、处理效率低的关键问题。针对此问题，跨链技术作为一种有潜力同时具备扩大吞吐量处理能力、提升处理效率的区块链技术而被广泛关注。研究给出了一种基于改进哈希时间锁的跨链资产交互协议(A Novel Hash-Time-Lock-Contract Based Cross-Chain Token Swap Mechanism, NCASP)，创造性地为Fabric区块链引入账户体系，融合智能合约技术实现了在以太坊和Fabric联盟链网络之间的安全无缝资产交换。NCASP协议在每笔HTLC转账中设置了不同的中间账户进行资产托管和转移，并在交易完成后及时销毁，使得原有跨链交易速率不变的同时保证交易...

We also provide presentation here at BiliBili(https://www.bilibili.com/video/BV1Ta411e7Rp/) ---------- During the period of major emergency crisis, the public opinion field regarding public as its core often falls into the dilemma of low cost of rumor, untimely falsification, high cost of tracing to the source, and great difficulty in proof. Meanw...

We also provide presentation here at BiliBili(https://www.bilibili.com/video/BV1bq4y187Cf?spm_id_from=333.999.0.0) ---------- The image synthesis technique is relatively well established which can generate facial images that are indistinguishable even by human beings. However, all of these approaches uses gradients to condition the output, resultin...

In recent years, it is a difficult issue to integrate the deep cross-fertilization and interpretable cognitive modeling methods from the basic theory of emotional psychology with deep learning and other algorithms. To address this problem, a cognitive model that integrates the VGG-facial action coding system (FACS)-OCC model based on fer2013 expres...

In the period of public health crisis, effective and efficient transmission of crisis information to the public through social media is an important support for achieving social stability and orderly online public engagement. From the perspective of public value management, this study systematically investigated how local government agencies in Chi...

[目的/意义]数字化转型已经成为数字经济时代企业运营的趋势，不仅互联网企业天然是数据驱动运营的 企业，传统企业也会在数字化转型中日益成为数据驱动运营的企业。在此背景下，数据有效保护与数据高效应用同 时 成 为 企 业 数 据 资 产 运 营 的 重 要 方 面 。 [ 方 法 / 过 程 ] 通 过 构 建 企 业 数 据 保 护 成 熟 度 评 估 模 型 ，聚 焦 于 企 业 数 据 有 效 保护问题。以隐私影响评估( PIA) 为指引，参考能力成熟度等理论，结合企业数据保护管理实践，构建了包含三个 一 级 指 标 ，十 二 个 二 级 指 标 的 企 业 数 据 保 护 成 熟 度 评 估 模 型 。 [ 结 果 / 结 论 ] 运 用 该 模 型 到 国 内 三 个 典 型 行 业...

Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition. Existing approaches use directional pairwise attention or a message hub to fuse language, visual, and audio modalities. However, those approaches introduce information redundancy when fusing feature...

Why does the continued use of social commerce platforms fail to promote consumer wellbeing? This study explores the roles of influencers, informational incentives and fear of missing out (FoMO) in the relationships between social commerce platform use and consumer mental health. Data were obtained through questionnaires, as well as constructing a r...

摘要： 阈值签名协议是多方信息安全协议的基础工具之一,在身份认证、防伪防抵赖等方面有着广泛的用途。文中研究了一种新型的去中心化阈值签名协议(Blockchain-based High-threshold Signature Protocol,BHTSP),通过将分布式密钥生成协议(Distributed Key Generation,DKG)与BLS签名(Boneh-Lynn-Shacham Signature)相结合,设计了一套可多方参与的、签名长度固定的阈值签名协议。在协议的实现过程中,采用了区块链智能合约作为协议的通信层,以确保协议参数的安全交换。仿真实验结果表明,BHTSP协议可以产生固定体积的阈值签名,且存储验签的公钥组合需要的平均内存消耗相比Schnorr签名方案减少了85.3%...

The audio-video based multimodal emotion recognition has attracted a lot of attention due to its robust performance. Most of the existing methods focus on proposing different cross-modal fusion strategies. However, these strategies introduce redundancy in the features of different modalities without fully considering the complementary properties be...

The image synthesis technique is relatively well established which can generate facial images that are indistinguishable even by human beings. However, all of these approaches uses gradients to condition the output, resulting in the outputting the same image with the same input. Also, they can only generate images with basic expression or mimic an...

Online community marketing and social media influencer marketing have aroused the interest of many researchers and practitioners around the world. Companies building online content communities to implement community marketing and influencer marketing has become a new corporate strategy, especially in the tourism and hotel industries in which experi...

Social media contains a massive amount of information, which provides researchers and practitioners with an invaluable source of data to conduct research from end-users' perspectives, in order to influence firm strategic choices. Although an extensive amount of research has been developed in B2C and B2B marketing context, few social media studies t...

In social networks, how human activity patterns affect the popularity of topics has always been the focus of research. In this paper, a quantitative temporal analysis of the dynamics of topics popularity in Sina Weibo system was provided. Firstly, the popularity time series of 1167 topics were clustered into four clusters by K-Spectral Centroid (K-...

We also provide presentation here at BiliBili(https://www.bilibili.com/video/BV1ki4y1S7ab/) ---------- Spectrum detection plays an important role in 5G communication and Internet of things (IoT) networks which is one of the core technologies in wireless communication network. The process of spectrum detection largely depends on energy sensing...

The authors of this research investigate the effects of hedonic and utilitarian message appeals in firm generated content on product performance measured by daily sales. The results from a multi-product category, large-scale empirical study with data collected from a variety of sources show that hedonic appeals have a higher positive impact than ut...

We also provide presentation here at BiliBili(https://www.bilibili.com/video/BV1iL4y177Yr/) ---------- The epidemic of the Coronavirus Disease 2019 (COVID-19)that is sweping acros the country has not only caried the virus harmful to health，but also spread the information “virus”in the public opinion space.How to deal with information “virus”in extr...

Artificial intelligence has been widely used in the field of biological signal recognition. However, most researches use deep learning to classify emotions, which has limitations in its application in the medical field. To this end, this paper proposes a one-dimensional convolutional neural network (1D-CNN) model for regression tasks. After we stan...

We also provide presentation here at BiliBili(https://www.bilibili.com/video/BV1Wu411R7E7?spm_id_from=333.999.0.0) ---------- With the continuous development and popularity of depth cam- eras, skeleton-based human action recognition has attracted peo- ple’s wide attention. Graph Convolutional Network (GCN) has achieved remarkable performance. Howev...

Health support has been sought by the public from online social media after the outbreak of novel coronavirus disease 2019 (COVID-19). In addition to the physical symptoms caused by the virus, there are adverse impacts on psychological responses. Therefore, precisely capturing the public emotions becomes crucial to providing adequate support. By co...

Aiming at the new lending derivatives in the cryptocurrency market, this paper studies the value fluctuations and risk characteristics of Bitcoin as a basic product through Time Series Analysis and establishment of GARCH models. Based on the linkage between the value of financial derivatives and basic products, this paper analyzes the characteristi...

Blockchain is being pursued by a growing number of people with its characteristics of openness, transparency, and decentralization. At the same time, how to secure privacy protection in such an open and transparent ledger is an urgent issue to be solved for deep study. Therefore, this paper proposes a protocol based on Secure multi-party computatio...

The “Paired Assistance Policy” (PAP) launched by the Chinese government after the 2008 Wenchuan earthquake provides a new collaborative governance model for post-disaster reconstruction. Through the System Dynamics modeling and simulation, this paper analyzed the influence of multi-agent participation in the process of post-disaster reconstruction....

Since dual-middle platform architecture of "data and business" was first proposed, the efficiency of secure data interaction between middle platforms has become particularly important. This paper proposes an efficient interaction protocol, while ensuring data security and credibility with the help of a blockchain dual-chain structure, to optimize t...

Previousstudiesinpublicemergencymanagementconfirmthatcollabo- ration assumes a relevant role in strengthening society’s capacity to cope with com- plex phenomena, such as disasters. However, empirical researches on emergency management show problems in performance measurement, mainly in employing narrow measures focusing on the results of single or...

Higher education is characterized by growing complexity and uncer- tainty, which highlight how wicked issues cannot be addressed by one organization acting alone. A collaborative governance approach is here proposed to tackle these issues. Such a perspective has been implemented widely, from public services design and delivery to infrastructure dev...

COVID-19 has caused a severe impact on the medical system and economic growth of countries all over the world. Therefore, the epidemic information of each city has important reference value for governments and enterprises to formulate public health prevention and control measures and decisions in opening the economy. According to relevant research,...

Entrepreneurship is becoming increasingly essential in this current era of the knowledge economy. It contributes to the innovation of products and services as well as improved processes. In the long-run, it can also improve the sustainability of the economy by depicting better efficiency and social goals. To stimulate entrepreneurship, it is essent...

BACKGROUND: The social network services (SNSs), such as Facebook, Twitter, Yammer and Slack etc., allow users to post short messages on topics ranging from personal hobbies and interests to working messages and knowledge. However, the answers to how use context and participation behavior pattern influence individual’s engagement in social network s...

Abstract In this paper, a quantitative temporal and spatial analysis of the dynamics of hot topics popularity in Micro-blogging system was provided. Firstly, the popularity time series of 1167 hot topics were counted and calculated by Excel. Secondly, based on MATLAB software,the popularity time series were clustered into six clusters by K-spectral...

Opinion leaders often play key roles in online knowledge-sharing communities, which has intrigued a lot of researchers and practitioners worldwide. However, it is not clear how various characteristics of opinion leaders may affect different online groups’ knowledge-sharing engagement. This paper aims to answer this question by building upon social...

In the era of knowledge economy, university plays an important role in the development of community. Generally, universities are responsible for three missions, i.e. teaching, research and social service. Among them, research lies at the centre, which provides latest intellectual products for teaching on one hand, and supports social service with a...

Peer–to-Peer lending is developing quickly around the world as a new E-finance industry, especially in China. Yet fraudulence and business ceasing of Peer–to-Peer Lending Intermediaries (P2P-INTs) occur frequently, making P2P investors facing serious risk. This paper attempts to explore a bridge connecting managerial research with some most advance...

The purposefulness of this study is to investigate the relationship between leadership styles of frontline managers (FLM) and interpersonal conflict, with direct and indirect intervention of emotional intelligence (EI). Research data were obtained from 211 frontline managers from banking sector of Pakistan. SmartPLS 2.0, a second-generation structu...

From "211","985" to "double first-rate", China has launched a series of incentive projects to steer the development of universities towards expressed priorities. These policies has formulated universities' management strategy and generated fierce competition among universities regarding both student enrollment and research productivity. However, we...

【目的】研究海量商品评论所隐含的商品在线声誉值对于品牌对商品在线销售量影响的调节作用。【方法】以京东商城手机商品的销售为背景, 通过自然语言处理和机器学习等技术, 利用联合分析法, 精准而全面地计算商品的在线声誉值, 并构建模型探究品牌的两个维度(品牌竞争力和品牌来源国(地区))对于商品销量的影响, 以及在线声誉和品牌知名度对上述影响的调节作用。【结果】在电子商务时代, 品牌竞争力依然是影响商品销量的重要因素, 在线声誉对于品牌竞争力对商品销售的影响起到正向调节作用, 而商品知名度则会削弱品牌来源国(地区)对商品销量的影响。【局限】只针对搜索型商品进行相关分析, 而体验型商品并未涉及。【结论】使用本文方法计算出的商品在线声誉加强了品牌竞争力对销售的影响, 可以为电商平台的在线声誉系统提供更加...

Employing an outside-in strategic perspective, we address an under-researched question in the extant marketing literature: How and when do firms, by virtue of their outside-in marketing capability, manage to achieve superior performance? We find that outside-in marketing capability leads to superior firm performance via its impact on inside-out mar...

This article examines the differential effects of online group influence on digital product consumption, using the context of online music listening with a distinction between mainstream music and niche music. The results suggest that the relationship between online groups, product category, and digital product consumption is more complex than prev...

Although many different views of social media coexist in the field of information systems (IS), such theories are usually not introduced in a consistent framework based on philosophical foundations. This paper introduces the dimensions of lifeworld and consideration of others. The concept of lifeworld is based on Descartes’ rationality and Heidegge...