Using ZOOM Approach to Support MDD. - Xiaoping Jia; Adam Steele; Hongming Liu; Lizhang Qin; Christopher Jones 002 (Software Engineering Research and Practice, 2004)

A Hypothesis-Based Approach to Detecting Runtime Violations. - Lizhang Qin; Xiaoping Jia; Hongming Liu (VVEIS, 2004)

Model Transformation Based on Meta Templates. - Hongming Liu; Lizhang Qin; Xiaoping Jia; Adam Steele (Software Engineering Research and Practice, 2006)

Model Transformation Framework Supported by ZOOM. - Hongming Liu; Lizhang Qin; Xiaoping Jia; Adam Steele (Software Engineering Research and Practice, 2007)

Executable visual software modeling - the ZOOM approach. - Xiaoping Jia; Adam Steele; Lizhang Qin; Hongming Liu; Christopher Jones 002 (Softw. Qual. J., 2007)

Metamodel based Model Transformation Framework. - Xiaoping Jia; Hongming Liu; Lizhang Qin; Adam Steele (Software Engineering Research and Practice, 2008)

A Model Transformation Framework for Model Driven Engineering. - Hongming Liu; Xiaoping Jia; Lizhang Qin; Adam Steele (MSVVEIS, 2008)

Modified Hough Transform for Searching Radar Detection. - Jiankui Zeng; Zishu He; Mathini Sellathurai; Hongming Liu (IEEE Geosci. Remote. Sens. Lett., 2008)

Model Transformation Using a Simplified Metamodel. - Hongming Liu; Xiaoping Jia (J. Softw. Eng. Appl., 2010)

Data Association in Bistatic MIMO of T/R-R Mode: Basis Decision and Performance Analysis. - Xiang Duan; Zishu He; Hongming Liu; Jun Li 038 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Lightweight Convolutional Neural Network Based on Singularity ROI for Fingerprint Classification. - Wen Jian; Yujie Zhou; Hongming Liu (IEEE Access, 2020)

Video Background Music Generation with Controllable Music Transformer. - Shangzhe Di; Zeren Jiang; Si Liu 001; Zhaokai Wang; Leyan Zhu; Zexin He; Hongming Liu; Shuicheng Yan (ACM Multimedia, 2021)

Densely Connected Convolutional Network Optimized by Genetic Algorithm for Fingerprint Liveness Detection. - Wen Jian; Yujie Zhou; Hongming Liu (IEEE Access, 2021)

Scalable linear invariant generation with Farkas' lemma. - Hongming Liu; Hongfei Fu 001; Zhiyong Yu; Jiaxin Song; Guoqiang Li 001 (Proc. ACM Program. Lang., 2022)

Dynamic Responses of Ballastless High-Speed Railway Due to Train Passage With Excitation of Uneven Trackbed Settlement. - Hongming Liu; Xiang Duan; Jianqun Jiang; Xuecheng Bian (IEEE Trans. Intell. Transp. Syst., 2022)

Affine Disjunctive Invariant Generation with Farkas' Lemma. - Hongming Liu; Jingyu Ke; Hongfei Fu 001; Liqian Chen; Guoqiang Li 001 (CoRR, 2023)

Classification of Working Memory Loads via Assessing Broken Detailed Balance of EEG-FNIRS Neurovascular Coupling Measures. - Yunyuan Gao; Hongming Liu; Feng Fang; Yingchun Zhang (IEEE Trans. Biomed. Eng., 2023)

Empirically Scalable Invariant Generation Leveraging Divide-and-Conquer with Pruning. - Hongming Liu; Guoqiang Li 001 (TASE, 2024)

Affine Disjunctive Invariant Generation with Farkas' Lemma. - Jingyu Ke; Hongfei Fu 001; Hongming Liu; Zhouyue Sun; Liqian Chen; Guoqiang Li 001 (VMCAI (1), 2025)

TDOcc: Exploit machine learning and big data in multi-view 3D occupancy prediction. - Chun Shan; Jian Zeng; Hongming Liu; Chuixing Chen; Xiaojiang Du; Mohsen Guizani (Future Gener. Comput. Syst., 2025)

Whether to share personal financial information through blockchain? - an intermediary perspective. - Xingyao Niu; Zhe Chen 022; Hongming Liu; Wenbin Xie (Behav. Inf. Technol., 2025)

Optimization of Farkas' Lemma-based linear invariant generation using divide-and-conquer with pruning. - Ruibang Liu; Hongming Liu; Guoqiang Li 001 (Sci. Comput. Program., 2026)