A5040104068- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Technology Adoption and User Behaviour
- Digital Marketing and Social Media
- Knowledge Management and Sharing
- Assembly Line Balancing Optimization
- Optimization and Search Problems
- Distributed and Parallel Computing Systems
- Optimization and Packing Problems
- Metaheuristic Optimization Algorithms Research
- Financial Risk and Volatility Modeling
- Parallel Computing and Optimization Techniques
- Customer Service Quality and Loyalty
- Advanced Neural Network Applications
- CCD and CMOS Imaging Sensors
- Team Dynamics and Performance
- Statistical Methods and Inference
- Cloud Computing and Resource Management
- Advanced Memory and Neural Computing
- Network Security and Intrusion Detection
- Consumer Market Behavior and Pricing
- Business Process Modeling and Analysis
- Supply Chain and Inventory Management
- Statistical Distribution Estimation and Applications
- Innovation and Knowledge Management
University of Science and Technology of China
2015-2024
Henan University
2021-2024
Chinese University of Hong Kong, Shenzhen
2021-2022
Shenzhen Academy of Robotics
2022
Tsinghua University
2020
Institute of Microelectronics
2020
Jilin University
2019-2020
Jilin Medical University
2020
China General Nuclear Power Corporation (China)
2020
Nanjing University of Posts and Telecommunications
2014-2015
Abstract Word-of-mouth (WOM) study is extended to the on-line context (eWOM) by examining informational and normative determinants of perceived credibility consumer recommendations. A survey users an discussion forum in China substantiated effects determinants, although post-hoc analyses revealed that prior knowledge involvement level moderate some them. Implications for research practice are discussed. Keywords: CredibilityeWOMinformational influenceon-line
Abstract Drawing upon organizational culture and institutional theory, this study investigates how pressures motivate the firm to adopt Internet‐enabled Supply Chain Management systems (eSCM) such effects are moderated by culture. The results of a survey 131 firms suggest that dimensions (i.e., normative, mimetic, coercive pressures) have differential on eSCM adoption intention. While mimetic not related intention, normative positively associated with In addition, flexibility orientation...
A facile method is developed for the one-pot preparation of hexagonal Ni(OH)<sub>2</sub> nanosheets deposited on a 3DGF surface, which shows superior electrochemical performance nonenzymatic glucose detection.
Recently, field-programmable gate arrays (FPGAs) have been widely used in the implementations of hardware accelerator for convolutional neural networks (CNNs). However, most these existing accelerators are designed same idea as their ASIC counterparts, which all operations from different layers mapped to units and working a multiplexed way. This manner does not take full advantage reconfigurability customizability FPGAs, resulting certain degree computational efficiency degradation. In this...
The ability to retain and lock members in competitive situations is an important concern of online social network sites. In this study, we proposed a research model investigate the factors influencing users' continuance intention use Facebook based on expectation disconfirmation theory motivations using Facebook. We examined role satisfaction affecting effects four kinds disconfirmations as antecedents satisfaction. An survey was conducted data from 125 respondents were analyzed PLS. results...
Reducing energy costs has become an important concern for sustainable manufacturing systems, owing to the environment. We present a multi-objective hybrid ant colony optimisation (MHACO) algorithm real-world two-stage blocking permutation flow shop scheduling problem address trade-off between total (TEC) and makespan (Cmax) as measures of service level with time-of-use (TOU) electricity price. explore energy-saving potential industry in consideration differential generated by variable-speed...
Since Google proposed Transformer in 2017, it has made significant natural language processing (NLP) development. However, the increasing cost is a large amount of calculation and parameters. Previous researchers designed some accelerator structures for transformer models field-programmable gate array (FPGA) to deal with NLP tasks efficiently. Now, development also affected computer vision (CV) rapidly surpassed convolution neural networks (CNNs) various image tasks. And there are apparent...
The growth and popularity of Web 2.0 applications help people to build maintain their social networks online further encourage network-facilitated team collaboration. In this study, we conceptualized the use Instant messaging in collaboration as an Intentional action Investigated effect gender differences development we-intention (I. e. collective intention) engage such A research model was developed empirically tested with 482 university students Mainland China. results demonstrated that...
This article studies the two-step conditional least squares (CLS) estimation for bivariate Z-valued INAR(1) model with Skellam innovations. For readers' convenience, we first give a brief review of distribution, signed thinning operator and definition innovations (denoted as BSK-BINARS(1) model). Then, discuss stationarity ergodicity model, some stochastic properties. Second, CLS estimate parameters establish their large-sample Third, conduct simulation study to illustrate finite sample...
Federated learning (FL) has been widely used in both academia and industry all around the world. FL advantages from perspective of data security, diversity, real-time continual learning, hardware efficiency, etc. However, it brings new privacy challenges, such as membership inference attacks poisoning attacks, when parts participants are not assumed to be fully honest. Moreover, selfish can obtain others’ collaborative but do contribute their real local or even provide fake data. This...