Virtualized Application Networking Infrastructure. - Hadi Bannazadeh; Alberto Leon-Garcia; Keith Redmond; Gordon Tam; Arbab Khan; Mingliang Ma; Saleh Dani; Paul Chow (TRIDENTCOM, 2010)

Detecting Replay Attacks in Power Systems: A Data-Driven Approach. - Mingliang Ma; Peng Zhou 002; Dajun Du; Chen Peng 001; Minrui Fei; Hanan Mubarak AlBuflasa (LSMS/ICSEE (3), 2017)

Towards Automated Generation of Bug Benchmark for Smart Contracts. - Jiaming Ye; Mingliang Ma; Tianyong Peng; Yun Peng; Yinxing Xue (ICST Workshops, 2019)

Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules. - Yinxing Xue; Jiaming Ye; Mingliang Ma; Lei Ma 003; Yi Li 008; Haijun Wang 002; Yun Lin 001; Tianyong Peng; Yang Liu 003 (CoRR, 2019)

Clairvoyance: cross-contract static analysis for detecting practical reentrancy vulnerabilities in smart contracts. - Jiaming Ye; Mingliang Ma; Yun Lin 001; Yulei Sui; Yinxing Xue (ICSE (Companion Volume), 2020)

Cross-Contract Static Analysis for Detecting Practical Reentrancy Vulnerabilities in Smart Contracts. - Yinxing Xue; Mingliang Ma; Yun Lin 001; Yulei Sui; Jiaming Ye; Tianyong Peng (ASE, 2020)

A Software Analysis Based Vulnerability Detection System For Smart Contracts. - Jiaming Ye; Mingliang Ma; Tianyong Peng; Yinxing Xue (Integrating Research and Practice in Software Engineering, 2020)

COVID-ONE-hi: The One-stop Database for COVID-19-specific Humoral Immunity and Clinical Parameters. - Zhaowei Xu; Yang Li 168; Qing Lei; Likun Huang; Danyun Lai; Shujuan Guo; Hewei Jiang; Hongyan Hou; Yunxiao Zheng; Xuening Wang; Jiaoxiang Wu; Mingliang Ma; et al. (Genom. Proteom. Bioinform., 2021)

Theoretical analysis of deep neural networks for temporally dependent observations. - Mingliang Ma; Abolfazl Safikhani (NeurIPS, 2022)

Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures. - Jiaming Ye; Mingliang Ma; Yun Lin 001; Lei Ma 003; Yinxing Xue; Jianjun Zhao 001 (J. Syst. Softw., 2022)

Effective Recommendation of Cross-Project Correlated Issues based on Issue Metrics. - Hao Ren; Mingliang Ma; Xiaowei Zhang; Yulu Cao; Changhai Nie (Internetware, 2023)

Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go? - Zhaoqiang Guo; Shiran Liu; Xutong Liu; Wei Lai; Mingliang Ma; Xu Zhang; Chao Ni 001; Yibiao Yang; Yanhui Li; Lin Chen 015; Guoqiang Zhou; Yuming Zhou (ACM Trans. Softw. Eng. Methodol., 2023)

Hybrid mutation driven testing for natural language inference. - Linghan Meng; Yanhui Li; Lin Chen 015; Mingliang Ma; Yuming Zhou; Baowen Xu (J. Softw. Evol. Process., 2024)

Transfer Learning for High-dimensional Reduced Rank Time Series Models. - Mingliang Ma; Abolfazl Safikhani (AISTATS, 2025)

A High-Dimensional Gradient Inversion Attack Based on Feature Distillation in Federated Learning. - Hongyun Cai 002; Mingliang Ma; Zhiqiang Wang; Jiaxin Li; Yuhang Yang (ICIC (18), 2025)

Weighted Suspiciousness and Balanced Aggregation to Boost Spectrum-based Fault Localization of Deep Learning Models. - Wenjie Xu; Yanhui Li; Mingliang Ma; Lin Chen 015; Yuming Zhou (ACM Trans. Softw. Eng. Methodol., 2025)