段明星，教授，博士生导师，国家级青年人才计划获得者，超算与人工智能融合计算教育部重点实验室副主任，区块链底层技术及应用湖南省重点实验室主任，香江学者，湖南省三尖人才/湖湘青年。毕业于国防科大，香港理工大学博士后。

目前发表学术论文50余篇，合作发表发明专利10余项；主持和参与国家科技创新2030“新一代人工智能”旗舰项目任务、国防创新特区基金任务、国家自然科学基金区域联合创新发展基金重点项目、国家自然科学基金优秀青年项目、国家重点研发任务、国自科面上/青年项目、国防装备预研项目等一系列项目。获得国家级教学成果二等奖（排名14），湖南省技术发明一等奖（排名第3），湖南省自然科学一等奖（排名第5）、CCF科技进步特等奖（排名第2）、湖南省计算机学会科学技术一等奖（排名第2）、湖南省高等教育教学成果二等奖（排名第8），湖南省计算机学会高等教学成果二等奖（排名第2）、ACM中国新星奖（Changsha）、“互联网+”全国大赛银奖、香江学者奖等一系列奖励。担任国家基金委、湖南、广东、浙江、重庆、山东、黑龙江科技评审专家。国家新一代自助安全计算系统产业集群专家，湖南省信息技术标准化技术委员会专家。

E-mail：duanmingxing@hnu.edu.cn

发表论文：

[1] Duan, Mingxing and Jiao, Kailun and Yu, Siyang and Yang, Zhibang and Xiao, Bin and Li, Kenli，MC-Net: Realistic Sample Generation for Black-Box Attacks，IEEE Transactions on Information Forensics and Security，vol. 19, pp. 3008-3022, 2024（CCF A类期刊）

[2] Duan, Mingxing and Xiao, Guoqing and Li, Kenli and Xiao, Bin，A Black-Box Attack Algorithm Targeting Unlabeled Industrial AI Systems With Contrastive Learning," in IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 6325-6335, April 2024, doi: 10.1109/TII.2023.3345472.（中科院1区）

[3] Duan, Mingxing and Qin, Yunchuan and Deng, Jiayan and Li, Kenli and Xiao, Bin，Dual Attention Adversarial Attacks With Limited Perturbations," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3274142（中科院1区）

[4] Duan, Mingxing and Li, Kenli and Liao, Qing and Tian, Qi，DEF-Net: A face aging model by using different emotional learnings，IEEE Transactions on Circuits and Systems for Video Technology，vol.32，no.5，pp.3012--3022，2021（中科院1区）

[5] Duan, Mingxing and Ouyang, Aijia and Tan, Guanghua and Tian, Qi，Age estimation using aging/rejuvenation features with device-edge synergy，IEEE Transactions on Circuits and Systems for Video Technology，vol.31，no.2，pp.608--620，2020（中科院1区）

[6] Duan, Mingxing and Li, Kenli and Liao, Xiangke and Li, Keqin，A parallel multiclassification algorithm for big data using an extreme learning machine，IEEE transactions on neural networks and learning systems，vol. 29, no. 6, pp. 2337-2351, 2017 (中科院1区)

[7] Duan, Mingxing and Li, Kenli and Li, Keqin，An ensemble CNN2ELM for age estimation，IEEE Transactions on Information Forensics and Security，vol.13，no.3，pp.758--772，2017（CCF A类期刊）

[8] Mingxing Duan, Kenli Li, Weinan Zhang, Jiarui Qin, and Bin Xiao. 2024. Attacking Click-through Rate Predictors via Generating Realistic Fake Samples. ACM Trans. Knowl. Discov. Data 18, 5, Article 110 (June 2024), 24 pages. https://doi.org/10.1145/3643685

[9] Duan, Mingxing and Li, Kenli and Deng, Jiayan and Xiao, Bin and Tian, Qi，A novel multi-sample generation method for adversarial attacks，ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)，vol.18，no.4，pp.1--21，2022

[10] Duan, Mingxing and Li, Kenli and Li, Keqin and Tian, Qi，A novel multi-task tensor correlation neural network for facial attribute prediction，ACM Transactions on Intelligent Systems and Technology (TIST)，vol.12，no.1，pp.1--22，2020

[11] Mingxing, Duan and Li, Kenli and Xie, Lingxi and Tian, Qi and Xiao, Bin，Towards multiple black-boxes attack via adversarial example generation network，Proceedings of the 29th ACM International Conference on Multimedia，pp.264--272，2021（CCF A类会议）

[12] Duan, Mingxing and Li, Kenli and Ouyang, Aijia and Win, Khin Nandar and Li, Keqin and Tian, Qi，EGroupNet: A feature-enhanced network for age estimation with novel age group schemes，ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)，vol.16，no.2，pp.1--23,2020

[13] Duan, Mingxing and Li, Kenli and Liao, Xiangke and Li, Keqin and Tian, Qi，Features-enhanced multi-attribute estimation with convolutional tensor correlation fusion network，ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)，vol.15，no.3s，pp.1--23，2019

[14] Duan, Mingxing and Li, Kenli and Li, Keqin，Internet of Things and Deep Learning，Handbook of Integration of Cloud Computing, Cyber Physical Systems and Internet of Things，Springer International Publishing，pp.147--163，2020

[15] Duan, Mingxing and Li, Kenli and Yang, Canqun and Li, Keqin，A hybrid deep learning CNN--ELM for age and gender classification，Neurocomputing，vol.275,pp:448-461,2018

[16] Duan, Mingxing and Li, Kenli and Tang, Zhuo and Xiao, Guoqing and Li, Keqin，Selection and replacement algorithms for memory performance improvement in spark，Concurrency and Computation: Practice and Experience，vol.28，no.8，pp.2473--2486,2016

[17] Xiao, Xiong, Duan, Mingxing, Song, Yingjie, Tang, Zhuo and Yang, Wenjing，Fake Node-Based Perception Poisoning Attacks against Federated Object Detection Learning in Mobile Computing Networks，2024 61th ACM/IEEE Design Automation Conference (DAC)，accepted，2024（CCF A类会议）

[18] Li, Zheng, Duan, Mingxing, Yu, Siyang, Yang, Wenjing，DynamicNet: Efficient Federated Learning for Mobile Edge Computing With Dynamic Privacy Budget and Aggregation Weights, in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2024.3372696.

[19] Yuan, Lixiang，Duan, Mingxing，Xiao, Guoqing，Tang, Zhuo，Li, Kenli，BM-FL: A Balanced Weight Strategy for Multi-Stage Federated Learning Against Multi-Client Data Skewing, in IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 9, pp. 4486-4498, Sept. 2024, doi: 10.1109/TKDE.2024.3372708.（CCF A类期刊）

[20] Dai, Xuelong, Duan, Mingxing, Xiao, Bin, Diffusion Models as Strong Adversaries, IEEE Transactions on Image Processing，Accepted, 2024.（CCF A类期刊）

[21] Tian, Shirui，Duan, Mingxing，Deng, Jiayan，Luo, Huizhang，Hu, Yikun，MF-Net: A Multimodal Fusion Model for Fast Multi-Object Tracking," in IEEE Transactions on Vehicular Technology, vol. 73, no. 8, pp. 10948-10962, Aug. 2024, doi: 10.1109/TVT.2024.3375457.

[22] Li, Zheng and Duan, Mingxing, and Xiao, Bin and Yang, Shenghong，A novel anomaly detection method for digital twin data using deconvolution operation with attention mechanism，IEEE Transactions on Industrial Informatics，vol.19，no.5，pp.7278--7286，2022 (中科院1区)

[23] Yu, Siyang; Duan, Mingxing; Wang, Kezhi; Yang, Shenghong, RUP-GAN: A Black-Box Attack Method for Social Intelligence Recommendation Systems Based on Adversarial Learning, Big Data Mining and Analytics, Accepted, 2024.（中科院1区）

[24] Fang, Sen and Duan, Mingxing，and Li, Kenli and Li, Keqin，Facial makeup transfer with GAN for different aging faces，Journal of Visual Communication and Image Representation，vol.85，pp.103464，2022

[25] Hu, Qilin and Duan, Mingxing，and Yang, Zhibang and Yu, Siyang and Xiao, Bin，Efficient parallel secure outsourcing of modular exponentiation to cloud for IoT applications，IEEE Internet of Things Journal，vol.8，no.16，pp.12782--12791，2020 (中科院1区)

[26] Chen, Guanyuan and Tan,Guanghua and Duan, Mingxing and Pu, Bin and Luo, Hongxia and Li, Shengli and Li, Kenli，MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation，Computers in Biology and Medicine，2023

[27] Zhang, Xian and Xiao, Guoqing and Duan, Mingxing and Chen, Yuedan and Li, Kenli，PH-CF: A Phased Hybrid Algorithm for Accelerating Subgraph Matching based on CPU-FPGA Heterogeneous Platform，IEEE Transactions on Industrial Informatics，2022 (中科院1区)

[28] Xiao, Lin and Li, Kenli and Duan, Mingxing，Computing time-varying quadratic optimization with finite-time convergence and noise tolerance: A unified framework for zeroing neural network，IEEE transactions on neural networks and learning systems，vol.30，no.11，pp.3360--3369，2019

[29] Chen, Cen and Li, Kenli and Duan, Mingxing and Li, Keqin，Extreme learning machine and its applications in big data processing，Big data analytics for sensor-network collected intelligence，pp.117--150，2017

[30] Zeng, Zihao and Li, Kenli and Duan, Mingxing and Liu, Chubo and Liao, Xiangke，K-Means Parallel Acceleration for Sparse Data Dimensions on Flink，2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)，pp.2053--2058，2019

[31] Win, Khin Nandar and Chen, Jianguo and Duan, Mingxing and Xiao, Guoqing and Li, Kenli and Fournier-Viger, Philippe and Li, Keqin，A Decision Support System to Provide Criminal Pattern Based Suggestions to Travelers，International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems，pp.582--587，2020

[32] Li, Yangfan and Chen, Cen and Duan, Mingxing and Zeng, Zeng and Li, Kenli，Attention-aware encoder--decoder neural networks for heterogeneous graphs of things，IEEE Transactions on Industrial Informatics，vol.17，no.4，pp.2890--2898，2020 (中科院1区)

[33] Ding, Yan and Liu, Chubo and Duan, Mingxing and Chang, Wanli and Li, Keqin and Li, Kenli，HAIMA: A Hybrid SRAM and DRAM Accelerator-in-Memory Architecture for Transformer，2023 60th ACM/IEEE Design Automation Conference (DAC)，pp.1--6，2023（CCF A类会议）

[34] Pan, Rui and Liu, Chubo and Xiao, Guoqing and Duan, Mingxing and Li, Keqin and Li, Kenli，An Algorithm and Architecture Co-design for Accelerating Smart Contracts in Blockchain，Proceedings of the 50th Annual International Symposium on Computer Architecture，pp.1--13，2023（CCF A类会议）

[35] Li, Di and Hu, Yikun and Xiao, Guoqing and Duan, Mingxing and Li, Kenli，An active defense model based on situational awareness and firewalls，Concurrency and Computation: Practice and Experience，vol.35，no.6，pp.1--1，2023

[36] Xiao, Guoqing and Yin, Chuanghui and Chen, Yuedan and Duan, Mingxing and Li, Kenli，GSpTC: High-Performance Sparse Tensor Contraction on CPU-GPU Heterogeneous Systems，2022 IEEE 24th Int Conf on High Performance Computing \& Communications; 8th Int Conf on Data Science \& Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud \& Big Data Systems \& Application (HPCC/DSS/SmartCity/DependSys)，pp.380--387，2022

[37] Yuan, Lixiang and Yu, Siyang and Yang, Zhibang and Duan, Mingxing and Li, Kenli，A data balancing approach based on generative adversarial network，Future Generation Computer Systems，vol.141，pp.768--776，2023

[38] Zhang, Weisheng and Yang, Zhibang and Yang, Shenghong and Duan, Mingxing and Li, Kenli，SPsync: Lightweight multi-terminal big spatiotemporal data synchronization solution，Future Generation Computer Systems，vol.141，pp.106--115，2023

[39] Wu, Xiangqiong and Tan, Guanghua and Pu, Bin and Duan, Mingxing and Cai, Wenli，DH-GAC: Deep hierarchical context fusion network with modified geodesic active contour for multiple neurofibromatosis segmentation，Neural Computing and Applications，pp.1--16，2022

[40] Zhao, Lei and Li, Ningshu and Tan, Guanghua and Chen, Jianguo and Li, Shengli and Duan, Mingxing，The End-to-end Fetal Head Circumference Detection and Estimation in Ultrasound Images，IEEE/ACM Transactions on Computational Biology and Bioinformatics，2022

[41] Hu, Zeshan and Li, Kenli and Xiao, Lin and Wang, Yaonan and Duan, Mingxing and Li, Keqin，Adams--Bashforth-Type Discrete-Time Zeroing Neural Networks Solving Time-Varying Complex Sylvester Equation With Enhanced Robustness，IEEE Transactions on Systems, Man, and Cybernetics: Systems，vol.52，no.5，pp.3287--3298，2021 (中科院1区)

[42] Ouyang, Aijia and Li, Kenli and Fei, Xiongwei and Zhou, Xu and Duan, Mingxing，A novel hybrid multi-objective population migration algorithm，International Journal of Pattern Recognition and Artificial Intelligence，vol.29，no.01，pp.1559001，2015

[43] Yujie XUE, Ruihui Li, FanWu, Zhuo Tang, Kenli Li, Duan Mingxing，Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion，CVPR 2024（CCF A类会议）

[44] Eavesdropping on Black-box Mobile Devices via Audio Amplifier's EMR, Huiling Chen,Wenqiang Jin*(通讯)，Yupeng Hu*(共同通讯), Zhengyu Ning, Kenli Li, Zheng Qin, Mingxing Duan, Yong Xie, Daibo Liu, Ming Li. NDSS（CCF A类会议）

[45]张显，肖国庆，段明星，陈玥丹，李肯立，APPQ-CNN: An Adaptive CNNs Inference Accelerator for Synergistically Exploiting Pruning and Quantization Based on FPGA，IEEE Transactions on Sustainable Computing，2024

[46]肖国庆，尹闯辉，陈玥丹，段明星，李肯立，Efficient Utilization of Multi-Threading Parallelism on Heterogeneous Systems for Sparse Tensor Contraction，IEEE Transactions on Parallel and Distributed Systems，2024（CCF A类会议）

[47]印东,罗辉章, Jeff Zhang,段明星,阳王东,唐卓，李肯立“zeroTT: A Two-Step State Transition Avoidance Scheme for MLC STT-RAM”2024 61th ACM/IEEE Design Automation Conference (DAC)，accepted，2024（CCF A类会议）.

[48] Li, Di, Zhibang Yang, Siyang Yu, Mingxing Duan, and Shenghong Yang. 2024. "A Micro-Segmentation Method Based on VLAN-VxLAN Mapping Technology" Future Internet 16, no. 9: 320. https://doi.org/10.3390/fi16090320

[49] Liu, Shuangyu, Yu, Siyang, Li, Huang, Mingxing Duan, and Xiangke Liao. 2024. "A novel shilling attack on black-box recommendation systems for multiple targets" Neural Computing and Applications

[50] Weisheng Zhang, Zhang, Weisheng; Zhang, Jiapeng; Yu, Siyang; Duan, Mingxing; Li, Kenli. 2024. “A Cross-silo Vulnerability Federated Learning Approach based on Content Chunking” IEEE Internet of Things Journal. (中科院1区)

[1]获得国家级教学成果二等奖（排名14）；

[2] 2023 ACM新星奖（长沙）；

[3] 2022年湖南省技术发明一等奖（排名第3）；

[4] 2022年CCF科技特等进步奖（排名第2）；

[5] 2020年湖南省自然科学一等奖（排名第5）；

[6] 2021年湖南大学杰出博士后（排名第1）；

[7] 2021年香江学者奖（排名第1）；

[8] 2022年湖南省计算机学会科学技术一等奖（排名第2）；

[9] 2022年湖南省计算机学会高等教学成果二等奖（排名第2）；

[10] 2021年湖南大学教学成果一等奖（排名第6）；

[11] 2021年湖南省教学成果二等奖（排名第8）；

[12] 2017年“互联网+”全国大赛银奖（排名第10）。