The Design of the SIMPLE Programming Language. - Di Wu 014; Lin Chen 015; Bin Yu; Baowen Xu (IEEE WISA, 2014)

An empirical study on the adoption of C++ templates: Library templates versus user defined templates. - Di Wu 014; Lin Chen 015; Yuming Zhou; Baowen Xu (SEKE, 2014)

An Empirical Study on C++ Concurrency Constructs. - Di Wu 014; Lin Chen 015; Yuming Zhou; Baowen Xu (ESEM, 2015)

How do developers use C++ libraries? An empirical study. - Di Wu 014; Lin Chen 015; Yuming Zhou; Baowen Xu (SEKE, 2015)

A metrics-based comparative study on object-oriented programming languages. - Di Wu 014; Lin Chen 015; Yuming Zhou; Baowen Xu (SEKE, 2015)

An extensive empirical study on C++ concurrency constructs. - Di Wu 014; Lin Chen 015; Yuming Zhou; Baowen Xu (Inf. Softw. Technol., 2016)

Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification. - Xiaoke Zhu; Xiao-Yuan Jing; Fei Wu 004; Di Wu 014; Li Cheng 006; Sen Li; Ruimin Hu (AAAI, 2017)

Automatically answering API-related questions. - Di Wu 014; Xiao-Yuan Jing; Haowen Chen; Xiaoke Zhu; Hongyu Zhang 002; Mei Zuo; Lu Zi; Chen Zhu (ICSE (Companion Volume), 2018)

How C++ Templates Are Used for Generic Programming: An Empirical Study on 50 Open Source Systems. - Lin Chen 015; Di Wu 014; Wanwangying Ma; Yuming Zhou; Baowen Xu; Hareton Leung (ACM Trans. Softw. Eng. Methodol., 2020)

Data-driven approach to application programming interface documentation mining: A review. - Di Wu 014; Xiao-Yuan Jing; Hongyu Zhang 002; Xiaohui Kong; Yu Xie; Zhiguo Huang (WIREs Data Mining Knowl. Discov., 2020)

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models. - Linghan Meng; Yanhui Li; Lin Chen 015; Zhi Wang; Di Wu 014; Yuming Zhou; Baowen Xu (ICSE, 2021)

Generating API tags for tutorial fragments from Stack Overflow. - Di Wu 014; Xiao-Yuan Jing; Hongyu Zhang 002; Bing Li; Yu Xie; Baowen Xu (Empir. Softw. Eng., 2021)

Recommending Relevant Tutorial Fragments for API-Related Natural Language Questions. - Di Wu 014; Xiao-Yuan Jing; Haowen Chen; Xiaohui Kong; Jifeng Xuan (Int. J. Softw. Eng. Knowl. Eng., 2021)

Boundary sampling to boost mutation testing for deep learning models. - Weijun Shen; Yanhui Li; Yuanlei Han; Lin Chen 015; Di Wu 014; Yuming Zhou; Baowen Xu (Inf. Softw. Technol., 2021)

Similarity-Maintaining Privacy Preservation and Location-Aware Low-Rank Matrix Factorization for QoS Prediction Based Web Service Recommendation. - Xiaoke Zhu; Xiao-Yuan Jing; Di Wu 014; Zhenyu He 001; Jicheng Cao; Dong Yue 001; Lina Wang 001 (IEEE Trans. Serv. Comput., 2021)

An Empirical Study on Heterogeneous Defect Prediction Approaches. - Haowen Chen; Xiao-Yuan Jing; Zhiqiang Li 003; Di Wu 014; Yi Peng; Zhiguo Huang (IEEE Trans. Software Eng., 2021)

Training Data Debugging for the Fairness of Machine Learning Software. - Yanhui Li; Linghan Meng; Lin Chen 015; Li Yu 008; Di Wu 014; Yuming Zhou; Baowen Xu (ICSE, 2022)

An Empirical Study on the Impact of Python Dynamic Typing on the Project Maintenance. - Xinmeng Xia; Yanyan Yan; Xincheng He; Di Wu 014; Lei Xu 003; Baowen Xu (Int. J. Softw. Eng. Knowl. Eng., 2022)

How higher order mutant testing performs for deep learning models: A fine-grained evaluation of test effectiveness and efficiency improved from second-order mutant-classification tuples. - Yanhui Li; Weijun Shen; Tengchao Wu; Lin Chen 015; Di Wu 014; Yuming Zhou; Baowen Xu (Inf. Softw. Technol., 2022)

MoD2T: Model-Data-Driven Motion-Static Object Tracking Method. - Yang Feng 003; Liao Pan; Di Wu 014; Liu Bo; Xingle Zhang (CoRR, 2023)

Leveraging Stack Overflow to detect relevant tutorial fragments of APIs. - Di Wu 014; Xiao-Yuan Jing; Hongyu Zhang 002; Yuming Zhou; Baowen Xu (Empir. Softw. Eng., 2023)

Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries. - Di Wu 014; Xiao-Yuan Jing; Hongyu Zhang 002; Yang Feng 003; Haowen Chen; Yuming Zhou; Baowen Xu (ACM Trans. Softw. Eng. Methodol., 2023)

Automatic recognizing relevant fragments of APIs using API references. - Di Wu 014; Yang Feng 003; Hongyu Zhang 002; Baowen Xu (Autom. Softw. Eng., 2024)

The future of API analytics. - Di Wu 014; Hongyu Zhang 002; Yang Feng 003; Zhenjiang Dong; Ying Sun (Autom. Softw. Eng., 2024)

MITU: Locating relevant tutorial fragments of APIs with multi-source API knowledge. - Di Wu 014; Hongyu Zhang 002; Yang Feng 003; Zhenjiang Dong (J. Syst. Softw., 2025)

Multi-view learning based on product and process metrics for software defect prediction. - Ying Sun; Fei Wu 004; Di Wu 014; Xiao-Yuan Jing; Yanfei Sun (Appl. Intell., 2025)