Zixuan Feng

Orcid: 0000-0001-9163-6853

According to our database1, Zixuan Feng authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Trap Characterization System for GaN HEMTs Based on Transient Drain Voltage.
IEEE Trans. Instrum. Meas., 2024

Guiding the way: A systematic literature review on mentoring practices in open source software projects.
Inf. Softw. Technol., 2024

Investigating the Impact of Interpersonal Challenges on Feeling Welcome in OSS.
CoRR, 2024

How to Support ML End-User Programmers through a Conversational Agent.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Replication Package for ML-EUP Conversational Agent Study.
Dataset, March, 2023

Make It Make Sense! Understanding and Facilitating Sensemaking in Computational Notebooks.
CoRR, 2023

Unveiling Diversity: Empowering OSS Project Leaders with Community Diversity and Turnover Dashboards.
CoRR, 2023

OSS Unsung Heroes: Crafting Productive Communities Invisibly.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

The State of Survival in OSS: The Impact of Diversity.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

The State of Diversity and Inclusion in Apache: A Pulse Check.
Proceedings of the 16th IEEE/ACM International Conference on Cooperative and Human Aspects of Software Engineering, 2023

2022
Implicit Mentoring: The Unacknowledged Developer Efforts in Open Source.
CoRR, 2022

A case study of implicit mentoring, its prevalence, and impact in Apache.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021
Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation.
CoRR, 2021

Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer Learning.
Comput. Math. Methods Medicine, 2021


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