Sun Yin

ORCID: 0000-0003-0385-3896
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Higher Education and Teaching Methods
  • Age of Information Optimization
  • IoT Networks and Protocols
  • Ideological and Political Education
  • Cognitive Functions and Memory
  • Cryptography and Data Security
  • Higher Education Learning Practices
  • Educational Reforms and Innovations
  • Advanced Computational Techniques and Applications
  • Education and Work Dynamics
  • EFL/ESL Teaching and Learning
  • Innovative Educational Techniques
  • Corporate Finance and Governance
  • International Student and Expatriate Challenges
  • Educational Technology and Assessment
  • Distributed Sensor Networks and Detection Algorithms
  • Atomic and Subatomic Physics Research
  • Second Language Learning and Teaching
  • Coding theory and cryptography
  • Human Resource and Talent Management
  • Complexity and Algorithms in Graphs
  • Water Quality Monitoring Technologies
  • Color perception and design
  • Intellectual Capital and Performance Analysis
  • IoT and Edge/Fog Computing

Beijing Normal University
2013-2025

University of Science and Technology Beijing
2013-2016

Xidian University
2010-2015

Xinjiang Agricultural University
2015

Lanzhou University of Finance and Economics
2015

Anhui Normal University
2015

Chongqing University of Posts and Telecommunications
2015

Chongqing Normal University
2014

Experimental Center of Subtropical Forestry
2014

Jiangsu Food and Pharmaceutical Science College
2014

A reciprocal relation has been identified between teacher emotion and professional identity. However, the underlying mechanism explaining this complex interaction remains underexamined. Moreover, limited attention paid to emotional dimension of student-teachers' development identity during university coursework. To bridge gap, present study explores how emotions reciprocally interact with their identities, drawing data from questionnaires, reflections, interviews students taking courses...

10.3389/fpsyg.2021.810146 article EN cc-by Frontiers in Psychology 2022-01-25

In multi-task remote inference systems, an intelligent receiver (e.g., command center) performs multiple tasks target detection) using data features received from several sources edge sensors). Key challenges to facilitating timely in these systems arise (i) limited computational power of the produce their inputs, and (ii) communication resources channels carry simultaneous feature transmissions receiver. We develop a novel computation co-scheduling methodology which determines generation...

10.48550/arxiv.2501.04231 preprint EN arXiv (Cornell University) 2025-01-07

This study investigates English teachers’ beliefs and classroom practices regarding the teaching of creative thinking (CT) explores factors that hinder these practices. A mixed methods approach is adopted, drawing data from 63 middle school teachers in China through questionnaires, semi-structured interviews, observation. The participants, with experience ranging three to 40 years, are recruited voluntarily a teacher training program. Results indicate overall assign importance CT cultivation...

10.1177/21582440251315235 article EN cc-by SAGE Open 2025-01-01

This study explores the impact of green innovation strategy manufacturing enterprises on performance. Green includes technological innovation, management and organizational is an important measure taken by to cope with environmental pressure sustainable development needs. paper first analyzes components its potential mechanism performance from a theoretical perspective, emphasizing key role information access convenience, transaction cost reduction financial product diversification in this...

10.54691/4vyfye75 article EN cc-by-nc Frontiers in Sustainable Development 2025-03-22

In this paper, we investigate scheduling policies that minimize the age of information in single-hop queueing systems. We propose a Last-Generated, First-Serve (LGFS) policy, which packet with earliest generation time is processed highest priority. If service times are i.i.d. exponentially distributed, preemptive LGFS policy proven to be age-optimal stochastic ordering sense. and satisfy New-Better-than-Used (NBU) distributional property, non-preemptive shown within constant gap from optimum...

10.48550/arxiv.1709.04956 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Information updates in multihop networks such as Internet of Things (IoT) and intelligent transportation systems have received significant recent attention. In this paper, we minimize the age a single information flow interference-free networks. When preemption is allowed packet transmission times are exponentially distributed, prove that preemptive Last-Generated, First-Served (LGFS) policy results smaller processes across all nodes network than any other causal (in stochastic ordering...

10.48550/arxiv.1712.10061 preprint EN other-oa arXiv (Cornell University) 2017-01-01

In this paper, we analyze the monotonicity of information aging in a remote estimation system, where historical observations Gaussian autoregressive AR(p) process are used to predict its future values. We consider two widely loss functions estimation: (i) logarithmic function for maximum likelihood and (ii) quadratic MMSE estimation. The error is written as generalized conditional entropy which has closed-form expressions. By using new information-theoretic tool called $\epsilon$-Markov...

10.48550/arxiv.2403.03380 preprint EN arXiv (Cornell University) 2024-03-05

In this paper, we consider the problem of minimizing age information in a multi-source system, where samples are taken from multiple sources and sent to destination via channel with random delay. Due interference, only one source can be scheduled at time. We finding decision policy that determines sampling times transmission order for total average peak (TaPA) (TaA) sources. Our investigation results an important separation principle: The optimal scheduling strategy independent each other....

10.48550/arxiv.1812.09463 preprint EN other-oa arXiv (Cornell University) 2018-01-01

In this paper, we present a local geometric analysis to interpret how deep feedforward neural networks extract low-dimensional features from high-dimensional data. Our study shows that, in region, the optimal weight one layer of network and feature generated by previous comprise low-rank approximation matrix that is determined Bayes action layer. This result holds (i) for analyzing both output hidden layers network, (ii) neuron activation functions with non-vanishing gradients. We use two...

10.48550/arxiv.2202.04632 preprint EN other-oa arXiv (Cornell University) 2022-01-01

We summarize recent contributions in the broad area of age information (AoI). In particular, we describe current state art design and optimization low-latency cyberphysical systems applications which sources send time-stamped status updates to interested recipients. These desire at recipients be as timely possible; however, this is typically constrained by limited system resources. AoI timeliness metrics present general methods evaluation analysis that are applicable a wide variety systems....

10.48550/arxiv.2007.08564 preprint EN other-oa arXiv (Cornell University) 2020-01-01

In this paper, we consider the problem of optimizing freshness status updates that are sent from a large number low-power source nodes to common access point. The utilize carrier sensing reduce collisions and adopt an asychronized sleep-wake strategy achieve extended battery lifetime (e.g., 10-25 years). We use age information (AoI) measure updates, design parameters for minimizing weighted-sum peak AoI sources, subject per-source constraints. When time is zero, can be solved by resorting...

10.48550/arxiv.1910.00205 preprint EN other-oa arXiv (Cornell University) 2019-01-01

We consider the problem of optimizing freshness status updates that are sent from a large number low-power sources to common access point. The source nodes utilize carrier sensing reduce collisions and adopt an asynchronized sleep-wake scheduling strategy achieve target network lifetime (e.g., 10 years). use age information (AoI) measure updates, design parameters for minimizing weighted-sum peak AoI sources, subject per-source battery constraints. When time (i.e., duration sensing) is zero,...

10.48550/arxiv.2102.02846 preprint EN other-oa arXiv (Cornell University) 2021-01-01
Coming Soon ...