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Dayi Lin
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2020 – today
- 2024
- [j14]Hao Li
, Gopi Krishnan Rajbahadur
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. IEEE Access 12: 70676-70689 (2024) - [j13]Joan Arnedo-Moreno, Kendra M. L. Cooper, Dayi Lin:
Emerging Advanced Technologies for Game Engineering. ACM SIGSOFT Softw. Eng. Notes 49(3): 37-41 (2024) - [c9]Dayi Lin
Technical Brief on Software Engineering for FMware. ICSE Companion 2024: 431-433 - [c8]Joan Arnedo-Moreno, Kendra M. L. Cooper, Thorsten Händler, Dayi Lin:
Foreword to the 8th International Workshop on Games and Software Engineering (GAS 2024). GAS 2024: vii-viii - [c7]Ahmed E. Hassan
Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. SIGSOFT FSE Companion 2024: 294-305 - [c6]Filipe Roseiro Côgo
A Tutorial on Software Engineering for FMware. SIGSOFT FSE Companion 2024: 710-712 - [e1]Bram Adams, Thomas Zimmermann, Ipek Ozkaya, Dayi Lin, Jie M. Zhang:
Proceedings of the 1st ACM International Conference on AI-Powered Software, AIware 2024, Porto de Galinhas, Brazil, July 15-16, 2024. ACM 2024 [contents] - [i16]Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang:
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. CoRR abs/2401.10359 (2024) - [i15]Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur, Keheliya Gallaba, Filipe Roseiro Côgo, Boyuan Chen, Haoxiang Zhang, Kishanthan Thangarajah, Gustavo Ansaldi Oliva, Jiahuei Lin, Wali Mohammad Abdullah, Zhen Ming Jiang:
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. CoRR abs/2402.15943 (2024) - [i14]Ahmed E. Hassan, Gustavo Ansaldi Oliva, Dayi Lin, Boyuan Chen, Zhen Ming Jiang:
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers. CoRR abs/2404.10225 (2024) - [i13]Ximing Dong, Dayi Lin, Shaowei Wang, Ahmed E. Hassan:
A Framework for Real-time Safeguarding the Text Generation of Large Language Model. CoRR abs/2404.19048 (2024) - [i12]Xu Yang, Gopi Krishnan Rajbahadur, Dayi Lin, Shaowei Wang, Zhen Ming Jiang:
SimClone: Detecting Tabular Data Clones using Value Similarity. CoRR abs/2407.12802 (2024) - [i11]Aaditya Bhatia, Dayi Lin, Gopi Krishnan Rajbahadur, Bram Adams, Ahmed E. Hassan:
Data Quality Antipatterns for Software Analytics. CoRR abs/2408.12560 (2024) - [i10]Ahmed E. Hassan, Gustavo Ansaldi Oliva, Dayi Lin, Boyuan Chen, Zhen Ming Jiang:
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap. CoRR abs/2410.06107 (2024) - [i9]Ximing Dong, Shaowei Wang, Dayi Lin, Gopi Krishnan Rajbahadur, Boquan Zhou, Shichao Liu, Ahmed E. Hassan:
PromptExp: Multi-granularity Prompt Explanation of Large Language Models. CoRR abs/2410.13073 (2024) - [i8]Gopi Krishnan Rajbahadur, Gustavo Ansaldi Oliva, Dayi Lin, Ahmed E. Hassan:
From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap. CoRR abs/2410.20791 (2024) - 2023
- [j12]Antonio Bucchiarone
Games and Software Engineering: Engineering fun, inspiration, and motivation. ACM SIGSOFT Softw. Eng. Notes 48(1): 85-89 (2023) - [j11]Antonio Bucchiarone
Fostering Collaboration and Advancing Research in Software Engineering and Game Development for Serious Contexts. ACM SIGSOFT Softw. Eng. Notes 48(4): 46-50 (2023) - [c5]Hanwen Hu, Yuan Tian, Safwat Hassan, Dayi Lin:
Analyzing Gamer Complaints in Reviews of Cross-Platform Video Games on Steam. CoG 2023: 1-8 - [i7]Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel C. Briand, Dayi Lin:
TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis. CoRR abs/2308.01311 (2023) - 2022
- [j10]Markos Viggiato
What Causes Wrong Sentiment Classifications of Game Reviews? IEEE Trans. Games 14(3): 350-363 (2022) - [j9]Yingzhe Lyu, Gopi Krishnan Rajbahadur
Towards a Consistent Interpretation of AIOps Models. ACM Trans. Softw. Eng. Methodol. 31(1): 16:1-16:38 (2022) - [j8]Dayi Lin
The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models. IEEE Trans. Software Eng. 48(8): 2969-2986 (2022) - [c4]Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang:
Towards Training Reproducible Deep Learning Models. ICSE 2022: 2202-2214 - [i6]Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin, Boyuan Chen, Zhen Ming Jiang:
Towards a consistent interpretation of AIOps models. CoRR abs/2202.02298 (2022) - [i5]Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang:
Towards Training Reproducible Deep Learning Models. CoRR abs/2202.02326 (2022) - [i4]Balreet Grewal, Dayi Lin, Lars Doucet, Cor-Paul Bezemer:
An Empirical Study of Delayed Games on Steam. CoRR abs/2204.11191 (2022) - 2021
- [j7]Rain Epp
An Empirical Study of Trends of Popular Virtual Reality Games and Their Complaints. IEEE Trans. Games 13(3): 275-286 (2021) - [i3]Daniel Lee, Dayi Lin, Cor-Paul Bezemer, Ahmed E. Hassan:
Building the perfect game - an empirical study of game modifications. CoRR abs/2103.07528 (2021) - [i2]Daniel Lee, Gopi Krishnan Rajbahadur, Dayi Lin, Mohammed Sayagh, Cor-Paul Bezemer, Ahmed E. Hassan:
An Empirical Study of the Characteristics of Popular Minecraft Mods. CoRR abs/2103.14439 (2021) - [i1]Gopi Krishnan Rajbahadur, Erika Tuck, Li Zi, Zhang Wei, Dayi Lin, Boyuan Chen, Zhen Ming Jiang, Daniel Morales German:
Can I use this publicly available dataset to build commercial AI software? Most likely not. CoRR abs/2111.02374 (2021) - 2020
- [j6]Daniel Lee, Dayi Lin
Building the perfect game - an empirical study of game modifications. Empir. Softw. Eng. 25(4): 2485-2518 (2020) - [j5]Daniel Lee, Gopi Krishnan Rajbahadur
An empirical study of the characteristics of popular Minecraft mods. Empir. Softw. Eng. 25(5): 3396-3429 (2020)
2010 – 2019
- 2019
- [b1]Dayi Lin:
How Can Game Developers Leverage Data from Online Distribution Platforms? A Case Study of the Steam Platform. Queen's University at Kingston, Ontario, Canada, 2019 - [j4]Dayi Lin
An empirical study of game reviews on the Steam platform. Empir. Softw. Eng. 24(1): 170-207 (2019) - [j3]Dayi Lin
Identifying gameplay videos that exhibit bugs in computer games. Empir. Softw. Eng. 24(6): 4006-4033 (2019) - 2018
- [j2]Dayi Lin
An empirical study of early access games on the Steam platform. Empir. Softw. Eng. 23(2): 771-799 (2018) - [c3]Dayi Lin, Cor-Paul Bezemer, Ahmed E. Hassan:
An empirical study of early access games on the steam platform. ICSE 2018: 480 - 2017
- [j1]Dayi Lin
Studying the urgent updates of popular games on the Steam platform. Empir. Softw. Eng. 22(4): 2095-2126 (2017) - 2016
- [c2]Liping Du, Xiaoge Li
Chinese word segmentation based on conditional random fields with character clustering. IALP 2016: 258-261 - [c1]Liping Du, Xiaoge Li
Chinese term extraction from web pages based on expected point-wise mutual information. ICNC-FSKD 2016: 1647-1651
Coauthor Index
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last updated on 2024-12-01 00:17 CET by the dblp team
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