Wang Wenxu, Zhou Rui, Wang Jing, Han Bo, Zhou Yun, Zhu Cheng, Tang Ruichun, Zhang Nevin
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation International Conference on Machine Learning 2025.
He Jiawen, Zhang Bin, Liu Peishun, Li XiaoLei, Wang Liang, Tang Ruichun
Effective underwater acoustic target passive localization of using a multi-task learning model with attention mechanism: Analysis and comparison under real sea trial datasets[J]. Applied Ocean Research 2024, 150: 104072.
Zhang Bin, He Jiawen, Liu Peishun, Wang Liang, Tang Ruichun
An automated multi-layer perceptron discriminative neural network based on Bayesian optimization achieves high-precision one-source single-snapshot direction-of-arrival estimation[J]. Sci Rep 14, 10300 (2024).
He Jiawen, Zhang Bin, Liu Peishun, Li Xiaolei, Gao Wei, Wang Liang, Tang Ruichun
Phase space reconstruction and self-attention convolutional neural network for sound source ranging with trial data[J]. Ocean Engineering, 2023, 288: 0029-8018.
He Jiawen, Li Xiaolei, Liu Peishun, Wang Liang, Zhou Hao, Wang Jinyu, Tang Ruichun.
Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation[J]. Engineering Applications of Artificial Intelligence, 2023, 120:105831-105847
Zhao Zhipeng, He Jiawen, Tang Ruichun, Liu Peishun, Zhao Youwei.
SIN OC_SORT: MULTI-OBJECT TRACKING BY RE-CORRECT THE EQUATIONS OF MOTION[C]. The 6th International Conference on Machine Learning and Machine Intelligence (MLMI 2023).ACM International Conference Proceeding Series,2023.100-105.(EI:20240515471694)
Wang Qinshuo, Guo Qing, Liu Xianchang, Tang Ruichun.
Tri-Branch CNN for Age-related Macular Degeneration Categorization with Incomplete Multi-Modality Ophthalmology Images[C]. The 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.(EI:20232914402269)
Liu Xianchang, Liu Peishun, Wang Jinyu, Wang Qinshuo, Guo Qing, Tang Ruichun.
UT-MT: A Semi-Supervised Model of Fusion Transformer for 3D Medical Image Segmentation[C]. The 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.(EI:20232914402485)
Zhou Shuncheng, Liu Zhaoteng, Tang Ruichun.
TransABR: A Deep Reinforcement Learning Approach based on Transformer for Adaptive UHD Video Streaming over Mixed Band 5G[C]. The 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.(EI:20232914402520)
Zhou Hao, Wang Xuening, Liu Peishun, Wang Liang, Tang Ruichun.
UATR-MSG-Transformer: A Deep Learning Network for Underwater Acoustic Target Recognition Based on Spectrogram Feature Fusion and Transformer with Messenger Tokens[C]. The 15th International Conference on Digital Image Processing (ICDIP 2023). SPIE, 2023.(EI:20235115251208)
Guo Qing, Zhang Jianjun, Liu Peishun, Liu Xianchang, Wang Qinshuo, Tang Ruichun.
Synthesizing PET scans using Attention GAN based on MRI scans and Alzheimer's disease information[C]. The 15th International Conference on Digital Image Processing (ICDIP 2023). SPIE, 2023.(EI:20235115250954)
Ren Huyue, Tang Ruichun, Liu Peishun, Chen Wanhui, Wang Jinyu, Ge Chang.
Multi-scale Parallel Fusion Convolution Network for Crop Disease Identification[C]. The 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.(EI:20232914402273)
Liu Peishun, Chen He, Tang Ruichun, Wang Xuefang.
Video-based Person Re-identification With Improved Temporal Attention And Spatial Memory[C]. The 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.(EI:20232914402192)
Wang Jinyu, Li Xuan, Tang Ruichun, Liu Peishun, Ren Huyue, Ge Chang.
Automatic Skin Lesion Segmentation Based on Gated Channel Attention and Boundary-guide Transformer[C]. The 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.(EI:20232914402481)
Ge Chang, Xu Jianyu, Hu Jinyun, Liu Peishun, Tang Ruichun, Ren Huyue, Wang Jinyu.
Multimodal Data and Multi-Attention Based Deep Learning Model for Alzheimer's Disease Diagnosis[C]. The 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.(EI:20232914402483)
Zhao Zhipeng, Zhang Jianjun, Liu Peishun, Liu Hanqing, Chen Yixin, Li Charles, Liu Xianchang, Tang Ruichun.
Semi-supervised 3D medical image segmentation using Transformer and CNN[C]. The 15th International Conference on Digital Image Processing (ICDIP 2023). SPIE, 2023.(EI:20235115251218)
Chen Yixin, Zhang Jianjun, Zong Xulin, Zhao Zhipeng, Liu Hanqing, Tang Ruichun, Liu Peishun, Wang Jinyu.
FSC-UNet: a lightweight medical image segmentation algorithm fused with skip connections[C]. Fourteenth International Conference on Digital Image Processing (ICDIP 2022). SPIE, 2022, 12342: 408-416.(EI:20224613131363)
Liu Hanqing, Zhao Zhipeng, Tang Ruichun, Liu Peishun, Chenyixin, Zhang Jianjun, Jia Jing.
PDNet: an advanced architecture for polyp image segmentation[C]. Fourteenth International Conference on Digital Image Processing (ICDIP 2022). SPIE, 2022, 12342: 434-442.(EI:20224613131366)
Shao Yangyi, Zhang Wenbin, Liu Peishun, Ren Huyue, Tang Ruichun, Yin Qilin,Li Qi.
Log Anomaly Detection method based on BERT model optimization[C]. 2022 7th International Conference on Cloud Computing and Big Data Analytics(ICCCBDA). IEEE, 2022: 161-166.(EI:20222512253738)
Liu Zhaoteng, Zhou Shuncheng, Tang Ruichun.
GNSA: A CDN Node Scheduling Algorithm Based on Non-cooperative Nash Equilibrium Game[C]. 2022 7th International Conference on Cloud Computing and Big Data Analytics(ICCCBDA). IEEE, 2022: 396-400.(EI:20222512253764)
He Jiawen, Liu Peishun, Wang Liang, Tang Ruichun.
Super-Resolution Estimation of Signal Direction Based on Unsupervised Learning[C]. 2021 2nd Asia Conference on Computers and Communications(ACCC). IEEE, 2021: 74-78.(EI:20221011748711)
Zuo Yiming, Liu Peishun, Tan Yaqi, Guo Zhaoxia, Tang Ruichun.
An attention-based lightweight residual network for plant disease recognition[C]. 2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE). IEEE, 2020: 224-228.(EI:20211210108302)
Tan Yaqi, Chen He, Zhang Jianjun, Tang ruichun, Liu Peishun.
Early risk prediction of diabetes based on GA-Stacking[J]. Applied Sciences2022, 12(2): 632.
Guo Zhaoxia, Zhang Jianjun, Zuo Yiming, Liu Peishun, Tang ruichun, Li Xiaoxia.
Channel Attention Residual Network for diagnosing Pneumonia[C]. 2021 4th International Conference on Artificial Intelligence and Big Data(ICAIBD). IEEE, 2021: 474-479.(EI:20213510837024)
Li Xiaoxia, Zhang Jianjun, Liu Peishun, Tang Ruichun, Guo Qing, Wang Qinshuo.
Integrated Learning Model Based on GC-Stacking for Early Prediction of Diabetes Mellitus[C]. 2021 IEEE International Conference on Progress in Informatics and Computing(PIC). IEEE, 2021: 380-387.(EI:20221011761092)
Xiao Nianhao, Zou Yuanchen, Yin Yaguang, Liu Peishun, Tang Ruichun.
DRNN: Deep Residual Neural Network for Heart Disease Prediction[C]. Journal of Physics: Conference Series, v 1682, n 1, 2020(EI: 20204909592722).
Zhang Hui, Xiao Niannao, Liu Peishun, Wang Zhicheng, Tang Ruichun.
G-RNN-GAN for Singing Voice Separation[C]. 2020 5th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2020, pp. 69-73. (EI: 20204209344613)
Xing Guanghui, Liu Peishun, Zhang Hui, Tang Ruichun, Yin Yaguang.
A Two-Stream Network for Underwater Acoustic Target Classification. 2020 6th International Conference on Robotics and Artificial Intelligence. pp.248–252.
Sun Xiaodong, Yin Xiaohan, Yin YaGuang, Liu Peishun, Wang Liang, Tang Ruichun.
Underwater Acoustic Target Recognition Based on ReLU Gated Recurrent Unit. 2020 6th International Conference on Robotics and Artificial Intelligence. pp.41–46.
Yin Xiaohan, Sun Xiaodong, Liu Peishun, Wang Liang, Tang Ruichun.
Underwater Acoustic Target Classification Based on LOFAR Spectrum and Convolutional Neural Network. Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture. pp.59–63. (EI: 20204609486700)
Liu Shuai, Zhang Xueyan, Sun Xiaodong, Yin Xiaohan, Tang Ruichun, Jiang Qingyun.
Survey on Context-aware Systems and Their Applications[C]. International Conference on Electronics Information and Emergency Communication. IEEE,Beijing, China, 2019: 234-237.
Luo Liang,Tang Ruichun.
An improved collaborative filtering algorithm based on node2vec[C]. 2018 2nd International Conference on Computer Science and Artificial Intelligence , ACM CSAI 2018 Shenzhen, China, Dec 8-10, pp. 218-222 (EI:20191106628994).
Mu Yi, Xiao Nianhao, Tang Ruichun, Luo Liang, Yin Xiaohan.
An Efficient Similarity Measure for Collaborative Filtering [CA]. Procedia Computer Science, 2018 International Conference on Identification, Information and Knowledge in the Internet of Things, IIKI 2018 Beijing, China, October 19-21, pp. 416-421(EI:20192206973945).
Wang Wenxu , Tang Ruichun, Li Cheng , Liu Peishun , Luo Liang.
A BP neural network model optimized by Mind Evolutionary Algorithm for predicting the ocean wave heights[J]. Ocean Engineering, AUG 15 2018, 162:98-107 (SCI: 000438481600007, EI: 20182105235225 IF: 2.73,JCR:海洋工程1区)
Liu Xiaoyang, Liu Peishun, Long Tianli, Lv Ze, Tang Ruichun.
An Efficient Depth-Based Forwarding Protocol for Underwater Wireless Sensor Networks[C]. 2018 the 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018 Chengdu, China, April 20-22, pp. 467-475(EI:20182905579863)
Lv Ze, Tang Ruichun, Ye Tao , Sun Xin, and Xu Xiaowei.
L2-LBMT: A Layered Load Balance Routing Protocol for Underwater Multimedia Data Transmission. Journal of Ocean University of China, 2017, 16(6): 1018-1026, (SCI:000414791700010)
Guo Qingwen, Xue Lulu, Tang Ruichun, Guo Lingrui.
Underwater Enhancement based on the Dark channel prior and Attenuation compensation[J]. Journal of Ocean University of China. (SCI:000407615200005)
Guo Shuangle, Tang Ruichun, Peng Linhui and Xiao Pengji.
Matched field localization based on CS-MUSIC algorithm[J]. Journal of Ocean University of China, 2016, 15(2):254-260.(SCI:000376023500008)
Jiang Qingyun, Tang Ruichun, Liu Peishun, Qiu Yue, Xu Huimin.
Research on Dynamic Data Fusion Algorithm based on Context Awareness[C]. IEEE International Conference on Progress in Informatics and Computing, Shanghai, China, 2014, 529-534.(EI:20145200358249)
Tang Ruichun, Hou Junwei, Guo Shuangle.
Research on Dynamic Data Fusion Algorithm based on Context Awareness[C]. IEEE International Conference on Progress in Informatics and Computing, Shanghai, China, 2014, 529-534.(EI:20145200358249)
Hong Bohai, Zhai Yili, Tang Ruichun, Feng Yuqing
A Resources Allocation Algorithm based on Media Task QoS in Cloud Computing[C]. he 4th IEEE International Conference on Software Engineering and Service(System) Sciences, Beijing,China,2013.(EI:20135117099846)
Feng Xiao, Tang Ruichun, Zhai Yili, Feng Yuqing, Hong Bohai.
An MPEG-21-driven multimedia adaptation decision-taking engine based on constraint satisfaction problems[C]. 5th International Conference on Digital Image Processing (ICDIP). , Beijing, China, 2013. (EI:20135017087372)
Ding Yongjie, Tang Ruichun, Xu Huimin, Liu Yafang.
An Improved Service-aware Multipath Algorithm for Wireless Multimedia Sensor Networks[C]. Manufacturing Systems and Industry Application, 2011, 267(6):543-548. (EI: 20112914166138)
Song Youju, Tang Ruichun, Xu Guang.
An evaluated priority based p2p streaming media scheduling algorithm[J]. IEEE International Conference on Progress in Informatics and Computing, Shanghai, China, 2014, 529-534.(EI:20145200358249)
Tang Ruichun, Hou Junwei, Guo Shuangle.
A Peer Selection Algorithm Based on Tolerance and Behavior Capacity in P2P Streaming Media System[C]. EBISS2011, Wuhan, China, 2011,5.
Tang Ruichun, Lv Xianmin, Zhai Yili and Gong Cunqun.
Optimal Tracking Control for NonLinear Large-scale Systems with Persistent Disturbances[J]. Journal of Control Theory and Applications, 2010, 8(4):515-520. (EI: 20105113500886)
Tang Ruichun, Guo Shuangle, Ji Hongying, Gong Cunqun.
A Heuristic Optimization Algorithm for Geographic Greedy Hole-bypassing Routing Algorithms in WMSNs [C]. Proceedings - 2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology IC-BNMT2010, Shanghai, China, 2010, Oct(26-28): 540-545(EI:20110813688934).
Tang Ruichun, Ma Huamin.
Optimal Tracking Control for Linear Time-delay System with Persistent Disturbances [J]. Dynamics of Continuous Discrete and Impulsive Systems-series a-Mathematical Analysis, [61]2006,13(12):921-925.(SCI: 126NQ-00024 3520000086)
郭庆稳,男,山东菏泽人。学术型硕士,2017年毕业。发表论文:
《Underwater image enhancement based on the dark channel prior and attenuation compensation》;
《Intelligent Fault Diagnosis Method Based on Full 1-D Convolutional Generative Adversarial Network》。
陈华红子,女,江苏苏州人。学术型硕士,2018年毕业。现于江苏苏州工作。发表论文:
《Clustering energy-efficient transmission protocol for Wireless Sensor Networks based on ant colony path optimization》[C] 。
吕泽,男,浙江舟山人。学术型硕士,2018年毕业。现于浙江杭州工作。发表论文:
《L2-LBMT: A layered load balance routing for underwater multimedia data transmission》;
《Design of multicast protocol for underwater multimedia data transmission》。
龙天骊,女,山东青岛人。专业学位硕士,2018年毕业。现于山东青岛工作。
刘聪,女,山东枣庄人。专业学位硕士,2018年毕业。现于山东济南工作。
董健,男,山东枣庄人,专业学位硕士,2019年毕业。现于北京工作。
王文旭,男,辽宁沈阳人。专业学位硕士,2019年毕业。发表论文:
《A BP neural network model optimized by Mind Evolutionary Algorithm for predicting the ocean wave heights》。
廉戈强,男,山东莱阳人。专业学位硕士,2019年毕业。现于北京工作。
任凯,男,云南昭通人。学术型硕士,2020年毕业。现于京都大学读博。发表论文:
《Q-DFN: Q-learning Decisive Fusion Network for Object Detection》。
罗梁,男,四川巴中人。专业学位硕士,2020年毕业。现于浙江杭州工作。发表软著一项,发表论文:
《An Improved Collaborative Filtering Algorithm Based on Node2vec》。
穆易,女,黑龙江大庆人。专业学位硕士,2020年毕业。现于山东济南工作。发表论文:
《An Efficient Similarity Measure for Collaborative Filtering 》。
尹晓涵,女,山东日照人。专业学位硕士,2021年毕业。现于北京工作。发表论文:
《Underwater Acoustic Target Classification Based on LOFAR Spectrumand and Convolutional Neural Network》;
《Underwater Acoustic Target RecognitionBased on ReLU Gated Recurrent Unit》。
常晨,男,新疆乌鲁木齐人。专业学位硕士,2021年毕业。现于山东青岛工作。
孙小东,女,山东济南人。专业学位硕士,2021年毕业。现于山东济南工作。发表论文:
《Underwater Acoustic Target Classification Based on LOFAR Spectrumand and Convolutional Neural Network》;
《Underwater Acoustic Target RecognitionBased on ReLU Gated Recurrent Unit》。
肖年浩,男,山东日照人。学术型硕士,2021年毕业。现于日照工作。发表论文:
《DRNN:Deep Residual Neural Network For Heart Disease Prediction》。
张慧,女,山西忻州人。学术型硕士,2021年毕业。现于北京工作。发表论文:
《A Two-Stream Network for Underwater Acoustic Target Classification》。
邢光辉,男,山东济南人。专业学位硕士,2021年毕业。现于北京工作。发表论文:
《A Two-Stream Network for Underwater Acoustic Target Classification》。
邹远晨,男,福建南平人。专业学位硕士,2021年毕业。现于江苏苏州工作。
左一鸣,男,山东诸城人。专业学位硕士,2022年毕业。发表论文:
《An attention-based lightweight residual network for plant disease recognition》。
谭雅棋,女,新疆乌鲁木齐人。专业学位硕士,2022年毕业。发表论文:
《Early Risk Prediction of Diabetes Based on GA-Stacking》。
郭朝霞,女,山东临沂人。学术型硕士,2022年毕业。发表论文:
《Channel Attention Residual Network for diagnosing Pneumonia》。
贺佳雯,女,山东潍坊人。学术型博士,2025年毕业。发表论文:
《Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation》。
李晓霞,女,山东潍坊人。专业学位硕士,2022年毕业。发表论文:
《Integrated Learning Model Based on GC-Stacking for Early Prediction of Diabetes Mellitus》。
邵扬溢,男,福建厦门人。专业学位硕士,2023年毕业。发表论文:
《Log Anomaly Detection method based on BERT model optimization》。
刘涵青,女,河南商丘人。学术型硕士,2023年毕业。发表论文:
《PDNet: An Advanced Architecture for Polyp Image Segmentation》。
陈怡昕,女,山东济南人。学术型硕士,2023年毕业。发表论文:
《FSC-UNet: A lightweight medical image segmentation algorithm fused with skip connections》。
赵志鹏,男,山东日照人。学术型博士,2027年毕业。发表论文:
《Semi-supervised 3D medical image segmentation using Transformer and CNN》;
《Multi-decoder Networks for Semi-supervised Medical lmageSegmentation》;
《SIN OC_SORT: MULTI-OBJECT TRACKING BY RE-CORRECT THE EQUATIONS OF MOTION》。
刘兆腾,男,山东济南人。专业学位硕士,2023年毕业。发表论文:
《GNSA: A CDN Node Scheduling Algorithm Based on Non-cooperative Nash Equilibrium Game》。
任胡月,女,江苏镇江人,专业型硕士,2024年毕业。发表论文:
《Multi-scale Parallel Fusion Convolution Network for Crop Disease Identification》。
王金雨,女,山东临沂人,专业型硕士, 2024年毕业。发表论文:
《Automatic Skin Lesion Segmentation Based on Gated Channel Attention and Boundary-Guide Transformer》。
王勤硕,男,山东青岛人,专业型硕士,2024年毕业。发表论文:
《Tri-Branch CNN for Age-related Macular Degeneration Categorization with Incomplete Multi- Modality Ophthalmology Images》。
周顺成,男,江苏淮安人,专业型硕士,2024年毕业。发表论文:
《TransABR: A Deep Reinforcement Learning Approach based on Transformer for Adaptive UHD Video Streaming over Mixed Band 5G》。
周昊,男,山东青岛人,专业型硕士,2024年毕业。发表论文:
《UATR-MSG-Transformer: A Deep Learning Network for Underwater Acoustic Target Recognition Based on Spectrogram Feature Fusion and Transformer with Messenger Tokens》。
郭庆,男,山东烟台人,专业型硕士,2024年毕业。发表论文:
《Synthesizing PET scans using Attention GAN based on MRI scans and Alzheimer's disease information》。
刘贤昌,男,山东青岛人,专业型硕士,2024年毕业。发表论文:
《UT-MT: A Semi-Supervised Model of Fusion Transformer for 3D Medical Image Segmentation》。
葛畅,女,河北唐山人,学术型硕士,2024年毕业。发表论文:
《MDMA: Multimodal Data and Multi-Attention Based Deep Learning Model for Alzheimer's Disease Diagnosis》。