Chengcheng Wan

Orcid: 0000-0001-9162-9688

According to our database1, Chengcheng Wan authored at least 25 papers between 2016 and 2024.

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Bibliography

2024
Robust Heading and Attitude Estimation of MEMS IMU in Magnetic Anomaly Field Using a Partially Adaptive Decoupled Extended Kalman Filter and LSTM Algorithm.
IEEE Trans. Instrum. Meas., 2024

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers.
CoRR, 2024

2023
Run-Time Prevention of Software Integration Failures of Machine Learning APIs.
Proc. ACM Program. Lang., October, 2023

Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations.
ACM Trans. Softw. Eng. Methodol., January, 2023

On the Effectiveness of Large Language Models in Domain-Specific Code Generation.
CoRR, 2023

Automatic and Efficient Customization of Neural Networks for ML Applications.
CoRR, 2023

Self-Supervised Query Reformulation for Code Search.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

HotGPT: How to Make Software Documentation More Useful with a Large Language Model?
Proceedings of the 19th Workshop on Hot Topics in Operating Systems, 2023

Stitcher: Learned Workload Synthesis from Historical Performance Footprints.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022
Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud.
Proc. VLDB Endow., 2022

Automated Testing of Software that Uses Machine Learning APIs.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Hierarchical memory-constrained operator scheduling of neural architecture search networks.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
A Replication of Are Machine Learning Cloud APIs Used Correctly.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Are Machine Learning Cloud APIs Used Correctly?
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
ALERT: Accurate Learning for Energy and Timeliness.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Guided, Deep Testing of X.509 Certificate Validation via Coverage Transfer Graphs.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Orthogonalized SGD and Nested Architectures for Anytime Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
ALERT: Accurate Anytime Learning for Energy and Timeliness.
CoRR, 2019

View-centric performance optimization for database-backed web applications.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles.
Inf. Sci., 2018

2016
An empirical study on recovering requirement-to-code links.
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

Evaluating quality-in-use of FLOSS through analyzing user reviews.
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

Learning Quality Evaluation of MOOC Based on Big Data Analysis.
Proceedings of the Smart Computing and Communication, 2016

Multi-perspective change impact analysis using linked data of software engineering.
Proceedings of the 8th Asia-Pacific Symposium on Internetware, 2016


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