个人简介：

程大鹏，男，博士，教授，中国计算机学会会员，中国人工智能学会会员，山东省人工智能学会计算智能专业委员会委员，CCF YOCSEF济南2023-2024副主席、优秀AC委员。2016年毕业于山东科技大学计算机科学与工程学院获工学博士学位。曾在纽约州立大学布法罗分校和清华大学无锡清华物联网研究中心各访学一年。主持山东省自然科学基金项目2项、烟台市科技创新发展计划（校地融合项目)1项，赛尔网络下一代互联网技术创新项目1项、山东省高等学校课程思政教学改革研究项目1项，山东省研究生优质课程1门。获山东高校优秀科研成果奖3项。在《Expert Systems With Applications》、《通信学报》、IEEE INFOCOM等期刊和国际会议发表论文30余篇。获山东省省级教学成果奖一等奖 3项、二等奖1项，第十届全国多媒体课件大赛三等奖。

研究方向：

机器学习、无线传感器网络、医学图像智能计算、时空大数据

主讲课程：

计算机网络、高级计算机网络、面向对象的Java程序设计、网络应用开发综合实践

教学科研项目:

[1]主持山东省自然科学基金项目：P2P网络中匿名通信协议关键技术的研究(ZR2011FL008)，山东省自然科学基金，2011.01-2014.12

[2]主持山东省自然科学基金项目：基于相干干扰的无线传感器网络洪泛关键技术研究(ZR2017MF049)，山东省自然科学基金，2017.06-2020.06

[3]烟台市科技创新发展计划（校地融合项目)：基于多模态大模型的抑郁症早期筛查与个性化数字疗法研究及应用示范(2025XDRH037)，2025.10.31-2028.10.31

[4]主持赛尔网络下一代互联网技术创新项目：基于6LoWPAN的高校智慧能源管理系统研究（NGII20180609），2018.06-2020.6

[5]主持山东省高等学校课程思政教学改革研究项目，2021.03

[6]主持山东省研究生优质课程:高级计算机网络2025.02  

[7]国家级第二批新工科研究与实践项目：以建设国家级一流本科专业为契机,依托山东省未来智能计算协同创新中心，打造新工科协同育人实践创新平台（E-XTYR20200640），第19位,2023.11  

[8]教育部产学合作协同育人项目：面向人工智能领域师资培训研究（202102332007），第4位,2021.10

获奖情况：

[1]2008年获山东高校优秀科研成果奖二等奖（第一完成人）

[2]2011年获山东高校优秀科研成果奖一等奖（第五完成人）

[3]2016年获山东高校优秀科研成果奖三等奖（第一完成人）

[4]2018年获山东省省级教学成果奖一等奖（第八完成人）

[5]2022年获山东省省级教学成果奖二等奖（第三完成人）

[6]2025年获山东省省级教学成果奖一等奖（第四完成人）

[7]2025年获山东省省级教学成果奖一等奖（第六完成人）

代表性论文：

[1]Shuo Wang, Dapeng Cheng*, Jinjiang Li.Diffusion prior guided deep model driven network for infrared and visible image fusion[J].Expert Systems with Applications, 2026,DOI: 10.1016/j.eswa.2025.129161.

[2]Dong Zhiwei ,  Dapeng Cheng* , and  Jinjinag Li . SpectMamba: Remote sensing change detection network integrating frequency and visual state space model[J]. Expert Systems with Applications,2025,DOI10.1016/j.eswa.2025.127902.

[3]Shuo Wang, Dapeng Cheng*, Genji Yuan, Jinjiang Li.RDSF-Net: Residual Wavelet Mamba-Based Differential Completion and Spatio-Frequency Extraction Remote Sensing Change Detection Network[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2025,DOI: 10.1109/JSTARS.2025.3559708.

[4]Xiaobo Chen, Shilin Zhang, Wei Xu, Dapeng Cheng, Lei Yang.Robust Pedestrian Crossing Intention Prediction via Uncertainty-Guided Transformer Ensemble Network for Autonomous Driving[J].IEEE Transactions on Instrumentation and Measurement, 2025,DOI: 10.1109/TIM.2025.3575998.

[5]Yu Zhou,  Shengning Zhou, Dapeng Cheng*, Jinjiang Li, Zhen Hua.STDF: Joint Spatiotemporal Differences Based on xLSTM Dendritic Fusion Network for Remote Sensing Change Detection[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2025,DOI: 10.1109/JSTARS.2025.3553930.

[6]Xiaoyang Zhang,Kaihui Dong,Dapeng Cheng*,Zhen Hua,Jinjiang Li.STWANet: Spatio-Temporal Wavelet Attention Aggregation Network for Remote Sensing Change Detection[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2025,DOI: 10.1109/JSTARS.2025.3551093.

[7]Hailin Tao, Dapeng Cheng*,Jinjiang Li.PanRouter: Router-based dynamic decision interactive pansharpening network[J].Information Sciences,2025,DOI: 10.1016/j.ins.2025.122516.

[8]Minghui Zhu, Dapeng Cheng*, Yanyan Mao, Lu Sun, Wanting Jing,Yue Kong,Jinjiang Li.A noise-constrained lightweight high-quality image hiding method based on invertible neural networksl[J].Complex & Intelligent Systems,2025,DOI: 10.1007/s40747-025-01943-4.

[9]Dapeng Cheng*,Jiale Gai, Bo Yang, Yanyan Mao, Xiaolian Gao, Baosheng Zhang, Wanting Jing,Jia Deng, Feng Zhao,Ning Mao. GU-Net: Causalrelationship-based generative medical image segmentation model[J].Heliyon,2024,DOI: 10.1016/j.heliyon,2024.e37338.

[10]Dapeng Cheng*,Jia Deng, Jinjie Xiao, Mao Yanyan,Jialong Kang,Jiale Gai,Baosheng Zhang, Feng Zhao.Attention based multi-scale nested network for biomedical image segmentationl[J].Heliyon,,2024,DOI: 10.1016/j.heliyon.2024.e33892.

[11] Dapeng Cheng*,Jiale Gai,Yanyan Mao, Xiaolian Gao, Baosheng Zhang,Wanting Jing, Jia Deng, Feng Zhao, Ning Mao.EA-Net: Research on skin lesion segmentation method based on U-Netl[J].Heliyon,,2023,DOI: 10.1016/j.heliyon.2023.e22663.

[12]Dapeng Cheng*, Xiaolian Gao, Yanyan Mao, Baozhen Xiao, Panlu You,Jiale Gai, Minghui Zhu, Jialong Kang,Feng Zhao, Ning Mao.Brain tumor feature extraction and edge enhancement algorithm based on U-Net networkl[J].Heliyon,,2023,DOI: 10.1016/j.heliyon.2023.e22536.

[13]Dapeng Cheng*,Chao Chen, Mao Yanyan, Panlu You, Xingdan Huang, Jiale Gai, Feng Zhao, Ning Mao.Self-supervised learning for modal transfer of brain imaging[J]. Frontiers inNeuroscience, 2022, DOI: 10.3389/fnins.2022.920981.  

[14]Mao Yanan,Chen Chao, Wang Zhenjie, Cheng Dapeng, et al. Generative adversarial networkswith adaptive normalization for synthesizing T2-weighted magnetic resonanceimages from diffusion-weighted images[J]. Frontiers in Neuroscience, 2022,DOI: 10.3389/fnins.2022.1058487.  

[15]DapengCheng*, Nuan Qiu, Feng Zhao,Yanyan Mao and Chengnuo Li. Research on theModality Transfer Method of BrainImaging Based on  Generative Adversaria Network. Frontiers in Neuroscience, 2021, DOI: 10.3389/fnins.2021.655019, 2021.

[16]毛艳艳,程大鹏*,冯烟利,窦全胜,李大社.C3S_ 基于相长干涉的智能传感系统并发输策略研究[J].通信学报,2019,DOI:10.11959/j.issn.1000-436x.2019017.

[17]DapengCheng*, Yin Wang, Jinsong Han,Xufei Mao, Xiangrong Wang, E2F: AchievingEnergy-efficient Flooding withConstructive Interference in WSNs[J]. Adhoc &Sensor Wireless Networks,2016,30:241-259.

[18]DapengCheng*, Yanyan Mao, Yin Wang,Xiangrong Wang. Improving energy adaptivity ofconstructive interference-basedflooding for WSN-AF. International Journal of Distributed Sensor Networks,2015,DOI:10.1155/2015/538145.

[19]Yin Wang,Yunhao Liu, Yuan He,Xiangyang Li, Dapeng Cheng. Disco:  Improving packetdelivery viadeliberate synchronized constructive interference. IEEE Transactions on Parallel and Distributed Systems,2015, DOI:10.1109/TPDS.2014.2312198.

[20]YinWang,Yuan He,Dapeng Cheng,Yunhao Liu,Xiang-yang Li.TriggerCast: Enabling Wireless Constructive Collisions[C]. IEEE INFOCOM,2013, DOI:10.1109/INFCOM.2013.6566819.

邮箱：chengdapeng@sdtbu.edu.cn