2024
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Automatic and Efficient Customization of Neural Networks for ML Applications [
Paper]
Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu and Michael Maire
USENIX Symposium on Operating Systems Design and Implementations (OSDI'24)
2023
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Run-Time Prevention of Software Integration Failures of Machine Learning APIs [
Paper] [
Artifact]
Chengcheng Wan, Yuhan Liu, Kuntai Du, Henry Hoffmann, Junchen Jiang, Michael Maire and Shan Lu
SPLASH Object-Oriented Programming, Systems, Languages & Applications 2023 (OOPSLA'23)
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Self-Supervised Query Reformulation for Code Search [
Paper]
Yuetian Mao, Chengcheng Wan#, Yuze Jiang and Xiaodong Gu
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE'23)
(#Equal Contribution)
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Stitcher: Learned Workload Synthesis from Historical Performance Footprints [
Paper]
Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra Ciortea, Konstantinos Karanasos, Subru Krishnan
26th International Conference on Extending Database Technology (EDBT'23)
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HotGPT: How to Make Software Documentation More Useful with a Large Language Model? [
Paper]
Yiming Su, Chengcheng Wan, Utsav Sethi, Sreraman Narasimhan, Shan Lu, Madan Musuvathi and Suman Nath
19th Workshop on Hot Topics in Operating Systems (HotOS XIX)
2022
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Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, and Shan Lu
44th International Conference on Software Engineering (ICSE'22)
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Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud. [
Paper] [
Release]
Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra Ciortea, Sreraman Narasimhan and Subru Krishnan
48th International Conference on Very Large Data Bases (VLDB'22)
2021
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Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, and Shan Lu
43th International Conference on Software Engineering (ICSE'21)
Earlier
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ALERT: Accurate Learning for Energy and Timeliness [
Paper] [
Video]
Chengcheng Wan, Muhammad Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, and Shan Lu
2020 USENIX Annual Technical Conference (USENIX ATC'20)
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Orthogonalized SGD and Nested Architectures for Anytime Neural Networks [
Paper] [
Video]
Chengcheng Wan, Henry Hoffmann, Shan Lu, and Michael Maire
37th International Conference on Machine Learning (ICML'20)
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View-Centric Performance Optimization for Database-Backed Web Applications [
Paper] [
Artifact]
SIGSOFT Distinguished Paper Award
Junwen Yang, Cong Yan, Chengcheng Wan, Shan Lu, and Alvin Cheung
41th International Conference on Software Engineering (ICSE'19)