Privacy-Protected KNN Classification Algorithm Based on Negative Database. - Hucheng Liao; Yu Chen; Shihu Bu; Mingkun Zhang (ICNC-FSKD, 2019)

Terahertz Spectroscopic Signatures of Microcystin Aptamer Solution Probed with a Microfluidic Chip. - Mingkun Zhang; Zhongbo Yang; Mingjie Tang; Deqiang Wang; Huabin Wang; Shihan Yan; Dongshan Wei; Hong-Liang Cui (Sensors, 2019)

Reverse-Time Migration Using Local Nyquist Cross-Correlation Imaging Condition. - Mingkun Zhang; Hui Zhou 002; Hanming Chen; Shuqi Jiang; Chuntao Jiang (IEEE Trans. Geosci. Remote. Sens., 2022)

Research on Image Segmentation Algorithm Based on Level Set. - Ping Wu; Mingkun Zhang; Qing Yue; Zhimin Gao (ADMA (4), 2023)

Tooth Segmentation from Cone-Beam CT Images Through Boundary Refinement. - Yiheng Xu; Mingkun Zhang; Sibo Huang; Dongyu Zhang (ICANN (4), 2023)

MS UX-Net: A Multi-scale Depth-Wise Convolution Network for Medical Image Segmentation. - Mingkun Zhang; Zhijun Xu; Qiuxia Yang; Dongyu Zhang (PRCV (5), 2023)

Towards Task-Oriented Communication Strategies for Platooning by Deep Reinforcement Learning. - Xiaoyan Kui; Zhihao Zheng; Chao Zhang 005; Mingkun Zhang; Samson Lasaulce (WiOpt, 2023)

Source-Independent Full-Waveform Inversion Based on Convolutional Wasserstein Distance Objective Function. - Shuqi Jiang; Hanming Chen; Honghui Li; Hui Zhou 002; Lingqian Wang; Mingkun Zhang; Chuntao Jiang (IEEE Trans. Geosci. Remote. Sens., 2023)

Research on optimal intelligent routing algorithm for IoV with machine learning and smart contract. - Baofeng Ji; Mingkun Zhang; Ling Xing 001; Xiaoli Li; Chunguo Li; Congzheng Han; Hong Wen 001 (Digit. Commun. Networks, 2023)

Precision agriculture intelligent connection network based on visual navigation. - Sudan Chen; Mingkun Zhang; Xiuzhen Li; Xueqiang Li; Wanying Liu; Baofeng Ji (IET Networks, 2023)

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. - Yu-An Liu 028; Ruqing Zhang 001; Mingkun Zhang; Wei Chen 034; Maarten de Rijke; Jiafeng Guo; Xueqi Cheng (AAAI, 2024)

Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. - Mingkun Zhang; Jianing Li; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (ECAI, 2024)

CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. - Mingkun Zhang; Keping Bi; Wei Chen 034; Quanrun Chen; Jiafeng Guo; Xueqi Cheng (NeurIPS, 2024)

TSSeer: a visual analytics approach for exploring the correlation between teachers' multimodal emotions and students' behaviors in massive open online courses. - Xiaoyan Kui; Mingkun Zhang; Qiang Liu; Zixiao Wang; Guiping Huang; Zhihao Zheng; Jiazhi Xia; Chao Zhang 005 (J. Vis., 2024)

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. - Mingkun Zhang; Keping Bi; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (ICLR, 2025)