Screening and Assessing 11 Mycobacterium tuberculosis Proteins as Potential Serodiagnostical Markers for Discriminating TB Patients from BCG Vaccinees. - Guoqiang Zhang; Lingxia Zhang; Mingcheng Zhang; Linlin Pan; Fengyu Wang; Jun Huang; Guoli Li; Jun Yu 004; Songnian Hu (Genom. Proteom. Bioinform., 2009)

MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion. - Lei Zhao; Mingcheng Zhang; Hongwei Ding; Xiaohui Cui (Entropy, 2021)

TPmod: A Tendency-Guided Prediction Model for Temporal Knowledge Graph Completion. - Luyi Bai; Xiangnan Ma; Mingcheng Zhang; Wenting Yu (ACM Trans. Knowl. Discov. Data, 2021)

Data-Efficient Modeling for Precise Power Consumption Estimation of Quadrotor Operations Using Ensemble Learning. - Wei Dai; Mingcheng Zhang; Kin Huat Low (CoRR, 2022)

Progressive selection-channel networks for image steganalysis. - Tian Wu; Lina Wang 001; Liming Zhai; Canming Fang; Mingcheng Zhang (Int. J. Intell. Syst., 2022)

Fine-grained deepfake detection based on cross-modality attention. - Lei Zhao; Mingcheng Zhang; Hongwei Ding; Xiaohui Cui (Neural Comput. Appl., 2023)

FTMF: Few-shot temporal knowledge graph completion based on meta-optimization and fault-tolerant mechanism. - Luyi Bai; Mingcheng Zhang; Han Zhang; Heng Zhang (World Wide Web (WWW), 2023)

AdvShadow: Evading DeepFake Detection via Adversarial Shadow Attack. - Jiatong Liu; Mingcheng Zhang; Jianpeng Ke; Lina Wang 001 (ICASSP, 2024)

Decentralized Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory Planning in Adverse Weather. - Bizhao Pang; Xinting Hu; Mingcheng Zhang; Sameer Alam; Guglielmo Lulli 001 (AAMAS, 2025)

A multi-aircraft co-operative trajectory planning model under dynamic thunderstorm cells using decentralized deep reinforcement learning. - Bizhao Pang; Xinting Hu; Mingcheng Zhang; Sameer Alam; Guglielmo Lulli 001 (Adv. Eng. Informatics, 2025)