Multi-perspective change impact analysis using linked data of software engineering. - Chengcheng Wan 001; Zece Zhu; Yuchen Zhang; Yuting Chen 001 (Internetware, 2016)

Learning Quality Evaluation of MOOC Based on Big Data Analysis. - Zihao Zhao; Qiangqiang Wu; Haopeng Chen; Chengcheng Wan 001 (SmartCom, 2016)

Evaluating quality-in-use of FLOSS through analyzing user reviews. - Zhenzheng Qian; Chengcheng Wan 001; Yuting Chen 001 (SNPD, 2016)

An empirical study on recovering requirement-to-code links. - Yuchen Zhang; Chengcheng Wan 001; Bo Jin (SNPD, 2016)

SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles. - Chengcheng Wan 001; Yanmin Zhu 006; Jiadi Yu; Yanyan Shen (Inf. Sci., 2018)

View-centric performance optimization for database-backed web applications. - Junwen Yang; Cong Yan; Chengcheng Wan 001; Shan Lu 001; Alvin Cheung (ICSE, 2019)

ALERT: Accurate Anytime Learning for Energy and Timeliness. - Chengcheng Wan 001; Muhammad Husni Santriaji; Eri Rogers; Henry Hoffmann; Michael Maire; Shan Lu 001 (CoRR, 2019)

Orthogonalized SGD and Nested Architectures for Anytime Neural Networks. - Chengcheng Wan 001; Henry Hoffmann; Shan Lu 001; Michael Maire (ICML, 2020)

Guided, Deep Testing of X.509 Certificate Validation via Coverage Transfer Graphs. - Jiayu Zhu; Chengcheng Wan 001; Pengbo Nie; Yuting Chen 001; Zhendong Su 001 (ICSME, 2020)

ALERT: Accurate Learning for Energy and Timeliness. - Chengcheng Wan 001; Muhammad Husni Santriaji; Eri Rogers; Henry Hoffmann; Michael Maire; Shan Lu 001 (USENIX ATC, 2020)

Are Machine Learning Cloud APIs Used Correctly? - Chengcheng Wan 001; Shicheng Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE, 2021)

A Replication of Are Machine Learning Cloud APIs Used Correctly. - Chengcheng Wan 001; Shicheng Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE (Companion Volume), 2021)

Hierarchical memory-constrained operator scheduling of neural architecture search networks. - Zihan Wang; Chengcheng Wan 001; Yuting Chen 001; Ziyi Lin; He Jiang 001; Lei Qiao 002 (DAC, 2022)

Automated Testing of Software that Uses Machine Learning APIs. - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yifan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE, 2022)

Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud. - Joyce Cahoon; Wenjing Wang 005; Yiwen Zhu; Katherine Lin; Sean Liu; Raymond Truong; Neetu Singh; Chengcheng Wan 001; Alexandra M. Ciortea; Sreraman Narasimhan; Subru Krishnan (Proc. VLDB Endow., 2022)

Stitcher: Learned Workload Synthesis from Historical Performance Footprints. - Chengcheng Wan 001; Yiwen Zhu; Joyce Cahoon; Wenjing Wang 005; Katherine Lin; Sean Liu; Raymond Truong; Neetu Singh; Alexandra M. Ciortea; Konstantinos Karanasos; Subru Krishnan (EDBT, 2023)

HotGPT: How to Make Software Documentation More Useful with a Large Language Model? - Yiming Su; Chengcheng Wan 001; Utsav Sethi; Shan Lu 001; Madan Musuvathi; Suman Nath (HotOS, 2023)

GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing. - Zihan Wang; Pengbo Nie; Xinyuan Miao; Yuting Chen 001; Chengcheng Wan 001; Lei Bu; Jianjun Zhao 001 (ISSTA, 2023)

Self-Supervised Query Reformulation for Code Search. - Yuetian Mao; Chengcheng Wan 001; Yuze Jiang; Xiaodong Gu 002 (ESEC/SIGSOFT FSE, 2023)

Automatic and Efficient Customization of Neural Networks for ML Applications. - Yuhan Liu; Chengcheng Wan 001; Kuntai Du; Henry Hoffmann; Junchen Jiang; Shan Lu 001; Michael Maire (CoRR, 2023)

Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations. - Pengbo Nie; Chengcheng Wan 001; Jiayu Zhu; Ziyi Lin; Yuting Chen 001; Zhendong Su 001 (ACM Trans. Softw. Eng. Methodol., 2023)

Run-Time Prevention of Software Integration Failures of Machine Learning APIs. - Chengcheng Wan 001; Yuhan Liu; Kuntai Du; Henry Hoffmann; Junchen Jiang; Michael Maire; Shan Lu 001 (Proc. ACM Program. Lang., 2023)

BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering. - Jiayi Jiang; Xiyuan Zhang; Chengcheng Wan 001; Haoyi Chen; Haiying Sun; Ting Su 001 (CCS, 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 001; Yihao Huang 001; Jiaping Wang; Chengcheng Wan 001; Ting Su 001; Geguang Pu (ICANN (1), 2024)

OPASS: Orchestrating TVM's Passes for Lowering Memory Footprints of Computation Graphs. - Pengbo Nie; Zihan Wang; Chengcheng Wan 001; Ziyi Lin; He Jiang 001; Jianjun Zhao 001; Yuting Chen 001 (ICSME, 2024)

FIPSER: Improving Fairness Testing of DNN by Seed Prioritization. - Junwei Chen; Yueling Zhang; Lingfeng Zhang; Min Zhang 007; Chengcheng Wan 001; Ting Su 001; Geguang Pu (ASE, 2024)

ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications. - Yuhan Liu; Chengcheng Wan 001; Kuntai Du; Henry Hoffmann; Junchen Jiang; Shan Lu 001; Michael Maire (OSDI, 2024)

Vortex under Ripplet: An Empirical Study of RAG-enabled Applications. - Yuchen Shao; Yuheng Huang 004; Jiawei Shen; Lei Ma 003; Ting Su 001; Chengcheng Wan 001 (CoRR, 2024)

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging. - Yuling Shi; Songsong Wang; Chengcheng Wan 001; Xiaodong Gu 002 (CoRR, 2024)

CodeCipher: Learning to Obfuscate Source Code Against LLMs. - Yalan Lin; Chengcheng Wan 001; Yixiong Fang; Xiaodong Gu 002 (CoRR, 2024)

Towards Understanding Retrieval Accuracy and Prompt Quality in RAG Systems. - Shengming Zhao; Yuheng Huang 004; Jiayang Song; Zhijie Wang 014; Chengcheng Wan 001; Lei Ma 003 (CoRR, 2024)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2024)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2024)

VarGAN: Adversarial Learning of Variable Semantic Representations. - Yalan Lin; Chengcheng Wan 001; Shuwen Bai; Xiaodong Gu 002 (IEEE Trans. Software Eng., 2024)

Keeper: Automated Testing and Fixing of Machine Learning Software. - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Are LLMs Correctly Integrated into Software Systems? - Yuchen Shao; Yuheng Huang 004; Jiawei Shen; Lei Ma 003; Ting Su 001; Chengcheng Wan 001 (ICSE, 2025)

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers. - Yuling Shi; Hongyu Zhang 002; Chengcheng Wan 001; Xiaodong Gu 002 (ICSE, 2025)

IFSE: Taming Closed-Box Functions in Symbolic Execution via Fuzz Solving. - Qichang Wang; Chuyang Chen; Ruiyang Xu; Haiying Sun; Chengcheng Wan 001; Ting Su 001; Yueling Zhang; Geguang Pu (ICSE Companion, 2025)

A Study of In-Context-Learning-Based Text-to-SQL Errors. - Jiawei Shen; Chengcheng Wan 001; Ruoyi Qiao; Jiazhen Zou; Hang Xu; Yuchen Shao; Yueling Zhang; Weikai Miao; Geguang Pu (CoRR, 2025)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2025)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation. - Xiaodong Gu 002; Meng Chen; Yalan Lin; Yuhan Hu; Hongyu Zhang 002; Chengcheng Wan 001; Zhao Wei; Yong Xu 010; Juhong Wang (ACM Trans. Softw. Eng. Methodol., 2025)

Automated detection of atomicity violations in large-scale systems. - Hang He; Yixing Luo; Chengcheng Wan 001; Ting Su 001; Haiying Sun; Geguang Pu (CoRR, 2025)

Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal. - Wenhao Zeng; Yaoning Wang; Chao Hu; Yuling Shi; Chengcheng Wan 001; Hongyu Zhang 002; Xiaodong Gu 002 (CoRR, 2025)