论文发表
智慧电力
| 序号 | 题名 | 作者 | 论文集名/期刊名 | 出版年 |
|---|---|---|---|---|
| 1 | 基于SF-Transformer的智能教育平台短期电力负荷预测研究 | 冯艳丽，周宇，黄福兴，万俊岭，袁培森 | 华东师范大学学报 (自然科学版) | 2024 |
| 2 | 基于CEEMDAN模态分解和TCN-BiGRU的 短期电力负荷预测 | 唐 竹，肖宇航，郭 淳，梅秋怡，王 森，郑宽昀，毛新颖 | 智慧电力 | 2024 |
| 3 | 基于Autoformer的电力负荷预测与分析研究 | 唐利涛, 张智勇, 袁培森 | 华东师范大学学报 | 2023 |
| 4 | 基于ResNet和DSCAttention机制的窃电识别研究 | 段志尚，冉懿，吕笃良，祁杰，钟佳晨，袁培森 | 华东师范大学学报 | 2023 |
| 5 | 新型电力系统中基于人工免疫和隐马尔可夫的网络安全态势评估 | 徐植, 陈俊, 张智勇, 万俊岭, 袁培森 | 华东师范大学学报 | 2023 |
| 6 | 基于并行深度森林的配用电通信网络异常流量检测 | 周政雷，陈俊，潘俊涛，袁培森 | 华东师范大学学报 | 2023 |
| 7 | 面向停电分类预测的因子分解机模型 | 冉懿，王润年， 潘红伟， 俞海猛， 袁培森 | 计算机工程 | 2022 |
| 8 | 基于重加权策略平衡损失与LSTM的窃电行为检测研究 | 吕笃良,刘梦爽,桓露,等 | 智慧电力 | 2022 |
| 9 | 基于自适应竞争的均衡优化电力系统客户分类 | 郑思达, 刘岩, 杨晓坤, 戚成飞, 袁培森 | 华东师范大学学报 | 2021 |
| 10 | 基于排序式SVM的搜索自适应排序系统实现 | 薛晓慧,芮光辉,李炜东,袁培森 | 计算机技术与发展 | 2021 |
| 11 | Positive Active Total Power Missing Value Repairing with LSTM Prediction | Yingwei Bai，Yun Cheng，Kuanyun Zheng，Yejian Liang，Peisen Yuan | 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference | 2020 |
| 12 | Positive Active Power Outlier Detection Based on One-Class SVM | Bin Ma, Long Yuan, Shaozhe Xu, Kuanyun Zheng, Fuxing Huang, Runlong Li, Peisen Yuan | 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference | 2020 |
| 13 | 基于孤立森林算法的电能量异常数据检测 | 黄福兴，周广山，丁宏，张罗平，钱淑韵，袁培森 | 华东师范大学学报 | 2019 |
| 14 | 基于SARIMA模型的电能量预测研究 | 黄福兴，丁宏,周广山，武文广，冯泽佳，袁培森 | 电网技术 | 2019 |
智慧农业
| 序号 | 题名 | 作者 | 论文集名/期刊名 | 出版年 |
|---|---|---|---|---|
| 1 | Lightweight Lotus Phenotype Recognition Based on MobileNetV2-SE with Reliable Pseudo-Labels | Peisen Y, Zixin C, Qijiang J, Yingchun X, Huanliang X. | Computers and Electronics in Agriculture | 2025 |
| 2 | 基于ECA改进MobileNetV3Small的水稻病害轻量级识别研究 | 袁培森，欧阳柳江，翟肇裕，田永超 | 农业机械学报 | 2024 |
| 3 | 基于深度主动学习与CBAM的细粒度菊花表型识别 | 袁培森 丁毅飞 徐焕良 | 农业机械学报 | 2024 |
| 4 | Research of intelligent reasoning system of Arabidopsis thaliana phenotype based on automated multi-task machine learning | Yuan P, Xu S, Zhai Z and Xu H | Frontiers in Plant Science | 2023 |
| 5 | Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning | HPeisen Yuan, Shuning Xu, Zhaoyu Zhai, Huanliang Xu | Mathematics | 2023 |
| 6 | Study of chrysanthemum image phenotype on-line classification based on transfer learning and bilinear convolutional neural network | Yuan P, Qian S, Zhai Z, et al | Computers and Electronics in Agriculture | 2022 |
| 7 | Detecting Asymptomatic Infections of Rice Bacterial Leaf Blight Using Hyperspectral Imaging and 3DCNN with Spectral Dilated Convolution | Cao Y, Yuan P, Xu H, et al | Frontiers in Plant Science | 2022 |
| 8 | 基于残差网络和小样本学习的鱼图像识别 | 袁培森,宋进,徐焕良 | 农业机械学报 | 2022 |
| 9 | 农作物病虫害识别关键技术研究综述 | 翟肇裕,曹益飞,徐焕良,袁培森,王浩云 | 农业机械学报 | 2021 |
| 10 | 基于光谱分形维数的水稻白叶枯病害监测指数研究 | 曹益飞,袁培森,王浩云,等 | 农业机械学报 | 2021 |
| 11 | 基于迁移学习和双线性CNN的细粒度菌菇表型识别 | 袁培森,申成吉,徐焕良 | 农业机械学报 | 2021 |
| 12 | 基于Random Forest的水稻细菌性条斑病识别方法研究 | 袁培森,曹益飞,马千里,王浩云,徐焕良 | 农业机械学报 | 2021 |
| 13 | 基于BERT的水稻表型知识图谱实体关系抽取研究 | 袁培森,李润隆,王翀,徐焕良 | 农业机械学报 | 2021 |
| 14 | General M-lumps, T-breathers and hybrid solutions to the (2+1)-dimensional generalized KonopelchenkoDubrovsky-Kaup-Kupershmidt equation | Peisen Yuan, Jiaxin Qi, Ziliang Li and Hongli An | Chinese Physics B | 2021 |
| 15 | 表示学习技术研究进展及其在植物表型中应用分析 | 袁培森,李润隆,任守纲,顾兴健,徐焕良 | 农业机械学报 | 2020 |
| 16 | 反卷积引导的番茄叶部病害识别及病斑分割模型 | 任守纲,贾馥玮,顾兴健,袁培森,薛卫,徐焕良. | 农业工程学报 | 2020 |
| 17 | 基于SVC和过采样的类别非均衡农业高光谱数据分类 | 袁培森,翟肇裕,任守纲,顾兴健,徐焕良 | 农业机械学报 | 2019 |
| 18 | 基于GAN网络的菌菇表型数据生成研究 | 袁培森,吴茂盛,翟肇裕, 杨承林,徐焕良 | 农业机械学报 | 2019 |
| 19 | 基于Stacking集成学习的水稻表型组学实体分类研究 | 袁培森，杨承林，宋玉红，翟肇裕，徐焕良 | 农业机械学报 | 2019 |
| 20 | 基于Multi-probe LSH的菊花花型相似性计算 | 袁培森,翟肇裕,钱淑韵,徐焕良 | 农业机械学报 | 2019 |
| 21 | An End-to-End-Based Low Dimensional Binary Embedding for Chrysanthemum Phenotypic Petal Similarity Evaluation | Peisen Yuan ; Zhaoyu Zhai ; José-Fernán Martínez; Huanliang Xu | IEEE Access | 2019 |
| 22 | Chrysanthemum Abnormal Petal Type Classification using Random Forest and Over-sampling | Peisen Y, Shougang R, Huanliang X, et al | 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) | 2018 |
| 23 | 基于卷积神经网络的菊花花型和品种识别 | 袁培森, 黎薇, 任守纲,等 | 农业工程学报 | 2018 |
| 24 | 基于半监督主动学习的菊花表型分类研究 | 袁培森, 任守纲, 翟肇裕,等 | 农业机械学报 | 2018 |
| 25 | 面向食品溯源数据服务的QoS 约束服务选择优化算法研究 | 袁培森, 黎薇, 任守纲, 等 | 华东师范大学学报 | 2018 |
| 26 | 面向食品安全领域的个性化知识搜索系统研究 | 袁培森, 任吴北, 任守纲,等. | 华东师范大学学报 | 2017 |
其他
| 序号 | 题名 | 作者 | 论文集名/期刊名 | 出版年 |
|---|---|---|---|---|
| 1 | Heterogeneous Information Network-Based Recommendation with Metapath Search and Memory Network Architecture Search | Yuan P, Sun Y, Wang H | Mathematics | 2022 |
| 2 | Enhancing Programming Knowledge Tracing by Interacting Programming Skills and Student Code | Zhu M, Han S, Yuan P, et al | LAK22: 12th International Learning Analytics and Knowledge Conference | 2022 |
| 3 | Hybrid Segmentation Algorithm for Medical Image Segmentation Based on Generating Adversarial Networks, Mutual Information and Multi-Scale Information | Yi Sun, Peisen Yuan, Yuming Sun and Zhaoyu Zhai | IEEE Access | 2020 |
| 4 | MM-GAN: 3D MRI Data Augmentation for Medical Image Segmentation via Generative Adversarial Networks | Yi Sun, Peisen Yuan, Yuming Sun | 2020 IEEE International Conference on Knowledge Graph (ICKG) | 2020 |
| 5 | IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization | Yi Sun, Peisen Yuan | In Knowledge Science, Engineering and Management | 2020 |
| 6 | An indoor trajectory frequent pattern mining algorithm based on vague grid sequence | Yi Chen,Peisen Yuan, Ming Qiu, Dechang Pi | Expert Systems with Applications | 2019 |
| 7 | An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem | Zhongshi Shao,Dechang Pi, Weishi Shao, Peisen Yuan | Engineering Applications of Artificial Intelligence | 2019 |
| 8 | Semi-Supervised hyperspectral image classification using local low-rank representation | Shougang Ren,Sheng Wan, Xingjian Gu, Peisen Yuan, Huanliang Xu | Remote Sensing Letters | 2019 |
| 9 | Multi-view uncorrelated discriminant analysis via dependence maximization | Xin Shu, Peisen Yuan, Haiyan Jiang, Darong Lai | Applied Intelligence | 2019 |
| 10 | An iterative paradigm of joint feature extraction and labeling for semi-supervised discriminant analysis | Shougang Ren, Xingjian Gu, Peisen Yuan,Huanliang Xu | Neurocomputing | 2018 |
| 11 | Cloned Vehicle Behavior Analysis Framework | Minxi Li,Jiali Mao, Xiaodong Qi, Peisen Yuan, Cheqing Jin | Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data | 2018 |
| 12 | 新工科背景下基于开源的“算法设计与分析”实践教学探索 | 袁培森, 任守纲, 朱淑鑫, 等 | 高校实验室工作研究 | 2018 |
| 13 | 基于深度哈希学习的商标图像检索研究 | 袁培森, 张勇, 李美玲, 顾兴健. | 华东师范大学学报 | 2018 |
| 14 | Hashed-join: Approximate string similarity join with hashing, Database Systems for Advanced Applications | P. Yuan, C. Sha, and S. Yi | Springer | 2014 |
| 15 | 基于内存计算的大规模图数据管理研究 | 袁培森, 舒欣, 沙朝锋,等 | 华东师范大学学报 | 2014 |
| 16 | 一种基于学习的高维数据c-近似最近邻查询算法 | 袁培森, 沙朝锋, 王晓玲,等 | 软件学报 | 2012 |