Chengcheng Wan

According to our database, Chengcheng Wan authored at least 43 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal.

Wenhao Zeng, Yaoning Wang, Chao Hu, Yuling Shi, Chengcheng Wan, Hongyu Zhang, Xiaodong Gu

CoRR, August, 2025

Automated detection of atomicity violations in large-scale systems.

Hang He, Yixing Luo, Chengcheng Wan, Ting Su, Haiying Sun, Geguang Pu

CoRR, April, 2025

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

Xiaodong Gu, Meng Chen, Yalan Lin, Yuhan Hu, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, Juhong Wang

ACM Trans. Softw. Eng. Methodol., March, 2025

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software".

Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu

Dataset, March, 2025

A Study of In-Context-Learning-Based Text-to-SQL Errors.

Jiawei Shen, Chengcheng Wan, Ruoyi Qiao, Jiazhen Zou, Hang Xu, Yuchen Shao, Yueling Zhang, Weikai Miao, Geguang Pu

CoRR, January, 2025

IFSE: Taming Closed-Box Functions in Symbolic Execution via Fuzz Solving.

Qichang Wang, Chuyang Chen, Ruiyang Xu, Haiying Sun, Chengcheng Wan, Ting Su, Yueling Zhang, Geguang Pu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Are LLMs Correctly Integrated into Software Systems?

Yuchen Shao, Yuheng Huang, Jiawei Shen, Lei Ma, Ting Su, Chengcheng Wan

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

Keeper: Automated Testing and Fixing of Machine Learning Software.

Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu

ACM Trans. Softw. Eng. Methodol., September, 2024

VarGAN: Adversarial Learning of Variable Semantic Representations.

Yalan Lin, Chengcheng Wan, Shuwen Bai, Xiaodong Gu

IEEE Trans. Software Eng., June, 2024

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software".

Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu

Dataset, May, 2024

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software".

Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu

Dataset, April, 2024

Towards Understanding Retrieval Accuracy and Prompt Quality in RAG Systems.

Shengming Zhao, Yuheng Huang, Jiayang Song, Zhijie Wang, Chengcheng Wan, Lei Ma

CoRR, 2024

CodeCipher: Learning to Obfuscate Source Code Against LLMs.

Yalan Lin, Chengcheng Wan, Yixiong Fang, Xiaodong Gu

CoRR, 2024

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging.

Yuling Shi, Songsong Wang, Chengcheng Wan, Xiaodong Gu

CoRR, 2024

Vortex under Ripplet: An Empirical Study of RAG-enabled Applications.

Yuchen Shao, Yuheng Huang, Jiawei Shen, Lei Ma, Ting Su, Chengcheng Wan

CoRR, 2024

ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications.

Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

FIPSER: Improving Fairness Testing of DNN by Seed Prioritization.

Junwei Chen, Yueling Zhang, Lingfeng Zhang, Min Zhang, Chengcheng Wan, Ting Su, Geguang Pu

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

OPASS: Orchestrating TVM's Passes for Lowering Memory Footprints of Computation Graphs.

Pengbo Nie, Zihan Wang, Chengcheng Wan, Ziyi Lin, He Jiang, Jianjun Zhao, Yuting Chen

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-Off in Machine Learning.

Simiao Zhang, Jitao Bai, Menghong Guan, Yueling Zhang, Jun Sun, Yihao Huang, Jiaping Wang, Chengcheng Wan, Ting Su, Geguang Pu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering.

Jiayi Jiang, Xiyuan Zhang, Chengcheng Wan, Haoyi Chen, Haiying Sun, Ting Su

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Run-Time Prevention of Software Integration Failures of Machine Learning APIs.

Chengcheng Wan, Yuhan Liu, Kuntai Du, Henry Hoffmann, Junchen Jiang, Michael Maire, Shan Lu

Proc. ACM Program. Lang., October, 2023

Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations.

Pengbo Nie, Chengcheng Wan, Jiayu Zhu, Ziyi Lin, Yuting Chen, Zhendong Su

ACM Trans. Softw. Eng. Methodol., January, 2023

Automatic and Efficient Customization of Neural Networks for ML Applications.

Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire

CoRR, 2023

Self-Supervised Query Reformulation for Code Search.

Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu

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.

Zihan Wang, Pengbo Nie, Xinyuan Miao, Yuting Chen, Chengcheng Wan, Lei Bu, Jianjun Zhao

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?

Yiming Su, Chengcheng Wan, Utsav Sethi, Shan Lu, Madan Musuvathi, Suman Nath

Proceedings of the 19th Workshop on Hot Topics in Operating Systems, 2023

Stitcher: Learned Workload Synthesis from Historical Performance Footprints.

Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud.

Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M. Ciortea, Sreraman Narasimhan, Subru Krishnan

Proc. VLDB Endow., 2022

Automated Testing of Software that Uses Machine Learning APIs.

Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Hierarchical memory-constrained operator scheduling of neural architecture search networks.

Zihan Wang, Chengcheng Wan, Yuting Chen, Ziyi Lin, He Jiang, Lei Qiao

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.

Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Are Machine Learning Cloud APIs Used Correctly?

Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

ALERT: Accurate Learning for Energy and Timeliness.

Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Guided, Deep Testing of X.509 Certificate Validation via Coverage Transfer Graphs.

Jiayu Zhu, Chengcheng Wan, Pengbo Nie, Yuting Chen, Zhendong Su

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Orthogonalized SGD and Nested Architectures for Anytime Neural Networks.

Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

ALERT: Accurate Anytime Learning for Energy and Timeliness.

Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu

CoRR, 2019

View-centric performance optimization for database-backed web applications.

Junwen Yang, Cong Yan, Chengcheng Wan, Shan Lu, Alvin Cheung

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles.

Chengcheng Wan, Yanmin Zhu, Jiadi Yu, Yanyan Shen

Inf. Sci., 2018

2016

An empirical study on recovering requirement-to-code links.

Yuchen Zhang, Chengcheng Wan, Bo Jin

Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

Evaluating quality-in-use of FLOSS through analyzing user reviews.

Zhenzheng Qian, Chengcheng Wan, Yuting Chen

Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

Learning Quality Evaluation of MOOC Based on Big Data Analysis.

Zihao Zhao, Qiangqiang Wu, Haopeng Chen, Chengcheng Wan

Proceedings of the Smart Computing and Communication, 2016

Multi-perspective change impact analysis using linked data of software engineering.

Chengcheng Wan, Zece Zhu, Yuchen Zhang, Yuting Chen

Proceedings of the 8th Asia-Pacific Symposium on Internetware, 2016