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Yang Song 0019

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affiliation: University of North Carolina at Wilmington, Department of Computer Science, NC, USA
affiliation: NC State University, Department of Computer Science, Raleigh, USA

Other persons with the same name

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Yang Song — disambiguation page
Yang Song 0001 — University of New South Wales, Sydney, NSW, Australia (and 1 more)
Yang Song 0002 — Waseda University, Graduate School of Information, Production and Systems, Kitakyushu City, Japan
Yang Song 0003 — Shanghai University, School of Mechatronics Engineering and Automation, Department of Automation, China (and 1 more)
Yang Song 0004 — Beihang University, School of Instrumentation Science and Opto-Electronics Engineering, Beijing, China
Yang Song 0005 — IBM T. J. Watson Research Center, Hawthorne, NY, USA (and 1 more)
Yang Song 0006 — University of California, San Diego, CA, USA
Yang Song 0007 — University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
Yang Song 0008 — Kuaishou Technology, Beijing, China (and 3 more)
Yang Song 0009 — Google Research, Mountain View, CA, USA

Yang Song 0010 — East China Normal University, School of Computer Science and Software Engineering, Shanghai, China
Yang Song 0011 — Stanford University, CA, USA
Yang Song 0012 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
Yang Song 0013 — University of Tennessee, Department of Electrical Engineering and Computer Science, xKnoxville, USA (and 2 more)
Yang Song 0014 — Norwegian University of Science and Technology, Trondheim, Norway (and 2 more)
Yang Song 0015 — Ningbo University, Faculty of Information Science and Engineering, College of Science and Technology, Zhejiang Provincial United Key Laboratory of Embedded Systems, China
Yang Song 0016 — University of Utah, School of Computing, Salt Lake City, UH, USA
Yang Song 0017 — Zoomlion Smart Agriculture, Intelligent Agriculture Research Institute, Wuhu, China (and 1 more)
Yang Song 0018 — China Agricultural University, College of Resources and Environmental Sciences, Beijing, China
Yang Song 0020 — Communication University of China, School of Information Engineering, China
Yang Song 0021 — BOSS Zhipin NLP Center, Beijing, China
Yang Song 0022 — Northeastern University, College of Information Science and Engineering, Shenyang, China
Yang Song 0023 — Fujifilm Software, Inc., San Jose, CA, USA (and 1 more)

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2020 – today

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2024
[c27]
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Jialin Cui, Runqiu Zhang, Fangtong Zhou, Ruochi Li, Yang Song, Edward F. Gehringer:
How Much Effort Do You Need to Expend on a Technical Interview? A Study of LeetCode Problem Solving Statistics. CSEE&T 2024: 1-10
[c26]
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Jialin Cui, Fangtong Zhou, Chengyuan Liu, Qinjin Jia, Yang Song, Edward F. Gehringer:
Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams. ITiCSE (1) 2024
[c25]
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Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer:
A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class. ITiCSE (1) 2024
[c24]
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Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer:
How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study. SIGCSE (1) 2024: 255-261
2023
[c23]
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Jialin Cui, Runqiu Zhang, Ruochi Li, Yang Song, Fangtong Zhou, Edward F. Gehringer:
Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study. ITiCSE (1) 2023: 526-532
[c22]
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Kylie Griep, Leah Stone, Stephen Edwards, Malik Hill, Jialin Cui, Chengyuan Liu, Qinjin Jia, Yang Song:
Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML. MLNLP 2023: 66-72
[c21]
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Priyanka Poosapati, Yao Shi, Judith Gebauer, Yang Song:
An Application of Co-plot Analysis: A Multidimensional Scaling Data Visualization. MLNLP 2023: 91-95
2022
[c20]
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Yunkai Xiao, Tianle Wang, Xinhua Sun, Yicong Li, Yang Song, Jialin Cui, Qinjin Jia, Chengyuan Liu, Edward F. Gehringer:
Modeling review helpfulness with augmented transformer neural networks. ICSC 2022: 83-90
2021
[c19]
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Gordon Hendry, Seth Harris, Ryan Goodwin, Leonid Neverov, Yunkai Xiao, David Tian, Yang Song:
PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car. FIE 2021: 1-5
2020
[c18]
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  - conf/ACMse/LaymanSG20
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Lucas Layman, Yang Song, Curry I. Guinn:
Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis. ACM Southeast Regional Conference 2020: 218-225
[c17]
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Yang Song, Yunkai Xiao, Jonathan Stephens, Emma Ruesch, Sean Roginski, Lucas Layman:
Suitability of SCS1 as a Pre-CS2 Assessment Instrument: A Comparison with Short Deliberate-practice Questions. ACM Southeast Regional Conference 2020: 313-314
[c16]
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Mark Klose, Vasvi Desai, Yang Song, Edward F. Gehringer:
EDM and Privacy: Ethics and Legalities of Data Collection, Usage, and Storage. EDM 2020
[c15]
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Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer:
Detecting Problem Statements in Peer Assessments. EDM 2020
[i2]
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  - journals/corr/abs-2002-11813
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Lucas Layman, Yang Song, Curry I. Guinn:
Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis. CoRR abs/2002.11813 (2020)
[i1]
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  - journals/corr/abs-2006-04532
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Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer:
Detecting Problem Statements in Peer Assessments. CoRR abs/2006.04532 (2020)

2010 – 2019

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2019
[c14]
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Zhewei Hu, Yang Song, Edward F. Gehringer:
A Test-Driven Approach to Improving Student Contributions to Open-Source Projects. FIE 2019: 1-9
2018
[c13]
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Zhewei Hu, Yang Song, Edward F. Gehringer:
Open-source software in class: students' common mistakes. ICSE (SEET) 2018: 40-48
[c12]
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Yifan Guo, Yang Song, Edward F. Gehringer:
Early Detection on Students' Failing Open-Source based Course Projects using Machine Learning Approaches: (Abstract Only). SIGCSE 2018: 1088
2017
[c11]
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Yang Song, Zhewei Hu, Edward F. Gehringer:
Collusion in educational peer assessment: How much do we need to worry about it? FIE 2017: 1-8
2016
[c10]
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Zhewei Hu, Yang Song, Edward F. Gehringer:
The Role of Initial Input in Reputation Systems to Generate Accurate Aggregated Grades from Peer Assessment. EDM (Workshops) 2016
[c9]
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Ferry Pramudianto, Maryam Aljeshi, Hisham Alhussein, Yang Song, Edward F. Gehringer, Dmytro Babik, David Tinapple:
Peer Review Data Warehouse: Insights From Different Systems. EDM (Workshops) 2016
[c8]
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Yang Song, Zhewei Hu, Edward F. Gehringer:
Who Took Peer Review Seriously: Another Perspective on Student-Generated Quizzes. EDM (Workshops) 2016
[c7]
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Yang Song, Zhewei Hu, Edward F. Gehringer, Julia Morris, Jennifer Kidd, Stacie Ringleb:
Toward Better Training in Peer Assessment: Does Calibration Help? EDM (Workshops) 2016
[c6]
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Edward F. Gehringer, Zhewei Hu, Yang Song:
Five years of extra credit in a studio-based course: An effort to incentivize socially useful behavior. FIE 2016: 1-6
[c5]
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Yang Song, Yifan Guo, David Thuente:
A quantitative case study on students' strategy for using authorized cheat-sheets. FIE 2016: 1-9
[c4]
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Yang Song, Zhewei Hu, Yifan Guo, Edward F. Gehringer:
An experiment with separate formative and summative rubrics in educational peer assessment. FIE 2016: 1-7
[c3]
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Yang Song, Ferry Pramudianto, Edward F. Gehringer:
A markup language for building a data warehouse for educational peer-assessment research. FIE 2016: 1-5
2015
[c2]
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Yang Song, Zhewei Hu, Edward F. Gehringer:
Pluggable reputation systems for peer review: A web-service approach. FIE 2015: 1-5
[c1]
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  - conf/icwl/SongHG15
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Yang Song, Zhewei Hu, Edward F. Gehringer:
Closing the Circle: Use of Students' Responses for Peer-Assessment Rubric Improvement. ICWL 2015: 27-36

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