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ORCIDSheng Chen 0008
Person information
- affiliation: University of Louisiana at Lafayette, USA
- affiliation (former): Oregon State University, Corvallis, OR, USA
Other persons with the same name
- Sheng Chen — disambiguation page
- Sheng Chen 0001
![[0000-0001-6882-600X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6882-600X")
— University of Southampton, Electronics and Computer Science, UK - Sheng Chen 0002 — Xidian University, Software Engineering Institute, China
- Sheng Chen 0003 — Wuhan Iron and Steel Group Company, China (and 1 more)
- Sheng Chen 0005 — Stevens Institute of Technology
- Sheng Chen 0006 — Nanyang Technological University, Singapore
- Sheng Chen 0007 — Harbin Institute of Technology, Department of Mathematics, China
- Sheng Chen 0009 — University of Shanghai for Science and Technology, Center of Optical Instrument and System, China (and 1 more)
- Sheng Chen 0010 — Nanjing University of Information Science and Technology, School of Information and Control, China (and 1 more)
- Sheng Chen 0011 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China
- Sheng Chen 0012 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Sheng Chen 0013 — Tsinghua University, Beijing National Research Center for Information Science and Technology, China
- Sheng Chen 0014 — University of Minnesota, Department of Computer Science and Engineering, Twin Cities, USA
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Journal Articles
- 2024
[j13]John Peter Campora III, Mohammad Wahiduzzaman Khan, Sheng Chen:
Type-Based Gradual Typing Performance Optimization. Proc. ACM Program. Lang. 8(POPL): 2667-2699 (2024)- 2022
- [j12]John Peter Campora III, Sheng Chen, Martin Erwig, Eric Walkingshaw:
Migrating gradual types. J. Funct. Program. 32: e14 (2022) - 2021
- [j11]Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu:
Toward Mining Capricious Data Streams: A Generative Approach. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1228-1240 (2021) - 2020
- [j10]John Peter Campora III, Sheng Chen:
Taming type annotations in gradual typing. Proc. ACM Program. Lang. 4(OOPSLA): 191:1-191:30 (2020) - [j9]Sheng Chen, Baijun Wu:
Efficient counter-factual type error debugging. Sci. Comput. Program. 200: 102544 (2020) - 2019
- [j8]Baijun Wu, John Peter Campora III, Yi He, Alexander Schlecht, Sheng Chen:
Generating precise error specifications for C: a zero shot learning approach. Proc. ACM Program. Lang. 3(OOPSLA): 160:1-160:30 (2019) - 2018
- [j7]Sheng Chen, Martin Erwig:
Systematic identification and communication of type errors. J. Funct. Program. 28: e2 (2018) - [j6]John Peter Campora III, Sheng Chen, Eric Walkingshaw:
Casts and costs: harmonizing safety and performance in gradual typing. Proc. ACM Program. Lang. 2(ICFP): 98:1-98:30 (2018) - [j5]John Peter Campora III, Sheng Chen, Martin Erwig, Eric Walkingshaw:
Migrating gradual types. Proc. ACM Program. Lang. 2(POPL): 15:1-15:29 (2018) - 2017
- [j4]Baijun Wu, Sheng Chen:
How type errors were fixed and what students did? Proc. ACM Program. Lang. 1(OOPSLA): 105:1-105:27 (2017) - [j3]Baijun Wu, John Peter Campora III, Sheng Chen:
Learning user friendly type-error messages. Proc. ACM Program. Lang. 1(OOPSLA): 106:1-106:29 (2017) - [j2]Sheng Chen, Martin Erwig, Karl Smeltzer:
Exploiting diversity in type checkers for better error messages. J. Vis. Lang. Comput. 39: 10-21 (2017) - 2014
- [j1]Sheng Chen, Martin Erwig, Eric Walkingshaw:
Extending Type Inference to Variational Programs. ACM Trans. Program. Lang. Syst. 36(1): 1:1-1:54 (2014)
Conference and Workshop Papers
- 2021
- [c16]Yi He, Xu Yuan, Sheng Chen, Xindong Wu:
Online Learning in Variable Feature Spaces under Incomplete Supervision. AAAI 2021: 4106-4114 - [c15]Yi He, Sheng Chen, Baijun Wu, Xu Yuan, Xindong Wu:
Unsupervised Lifelong Learning with Curricula. WWW 2021: 3534-3545 - 2020
- [c14]Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu:
Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. SDM 2020: 334-342 - 2019
- [c13]Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu:
Online Learning from Capricious Data Streams: A Generative Approach. IJCAI 2019: 2491-2497 - [c12]Sheng Chen, John Peter Campora III:
Blame Tracking and Type Error Debugging. SNAPL 2019: 2:1-2:14 - [c11]Sheng Chen, Baijun Wu:
Efficient Counter-factual Type Error Debugging. TASE 2019: 99-106 - 2016
- [c10]Sheng Chen, Martin Erwig, Eric Walkingshaw:
A Calculus for Variational Programming. ECOOP 2016: 6:1-6:28 - [c9]Sheng Chen, Martin Erwig:
Principal type inference for GADTs. POPL 2016: 416-428 - 2014
- [c8]Sheng Chen, Martin Erwig:
Guided Type Debugging. FLOPS 2014: 35-51 - [c7]Sheng Chen, Martin Erwig:
Type-based parametric analysis of program families. ICFP 2014: 39-51 - [c6]Sheng Chen, Martin Erwig:
Early detection of type errors in C++ templates. PEPM 2014: 133-144 - [c5]Sheng Chen, Martin Erwig:
Counter-factual typing for debugging type errors. POPL 2014: 583-594 - [c4]Sheng Chen, Martin Erwig, Karl Smeltzer:
Let's hear both sides: On combining type-error reporting tools. VL/HCC 2014: 145-152 - 2013
- [c3]Martin Erwig, Eric Walkingshaw, Sheng Chen:
An abstract representation of variational graphs. FOSD 2013: 25-32 - 2012
- [c2]Sheng Chen, Martin Erwig, Eric Walkingshaw:
An error-tolerant type system for variational lambda calculus. ICFP 2012: 29-40 - 2011
- [c1]Sheng Chen, Martin Erwig:
Optimizing the Product Derivation Process. SPLC 2011: 35-44
Coauthor Index
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last updated on 2024-05-26 02:27 CEST by the dblp team
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